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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Commun.</journal-id>
<journal-title>Frontiers in Communication</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Commun.</abbrev-journal-title>
<issn pub-type="epub">2297-900X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">709045</article-id>
<article-id pub-id-type="doi">10.3389/fcomm.2021.709045</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Communication</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Vocabulary Growth in Lexical Categories Between Ages 13 and 24 Months as a Function of the Child&#x2019;s Sex, Child, and Family Factors</article-title>
<alt-title alt-title-type="left-running-head">Nylund et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Lexical Category Growth</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Nylund</surname>
<given-names>Annette</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1320301/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ursin</surname>
<given-names>Piia af</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Korpilahti</surname>
<given-names>Pirjo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rautakoski</surname>
<given-names>Pirkko</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/992080/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Speech and Language Pathology, Abo Akademi University, <addr-line>Turku</addr-line>, <country>Finland</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Department of Education, University of Turku, <addr-line>Turku</addr-line>, <country>Finland</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Department of Psychology and Speech-Language Pathology, University of Turku, <addr-line>Turku</addr-line>, <country>Finland</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/21387/overview">Juhani J&#xe4;rvikivi</ext-link>, University of Alberta, Canada</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1291324/overview">Virve-Anneli Vihman</ext-link>, University of Tartu, Estonia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1348816/overview">Jelena Kuva&#x10d; Kraljevic</ext-link>, University of Zagreb, Croatia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Annette Nylund, <email>annette.nylund@abo.fi</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Language Sciences, a section of the journal Frontiers in Communication</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>6</volume>
<elocation-id>709045</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>05</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Nylund, Ursin, Korpilahti and Rautakoski.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Nylund, Ursin, Korpilahti and Rautakoski</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>We examined the vocabulary growth of lexical categories in 719 children (age 13&#x2013;24&#xa0;months) as part of a longitudinal cohort study (the STEPS Study) and found a discrepancy in how these categories were affected depending on the child&#x2019;s sex. In girls, attending day care at 24&#xa0;months of age predicted a positive vocabulary growth in the lexical categories sound effects, nouns, people, and games and routines, compared to girls staying at home. Firstborn girls had a greater vocabulary growth in descriptive and function words, in contrast to those born later. A boy attending day care at age 24&#xa0;months was likely to have greater growth in sound effects and animal sounds, compared to boys not in day care. A family history of late onset of speech predicted less vocabulary growth in all lexical categories in boys, except for sound effects and animal sounds. Early vocabulary is of importance for later language and literacy development. Vocabulary is not an impenetrable entirety but consists of various types of words (lexical categories) developing at different tempos as they contribute to the developing language. Factors influencing early vocabulary development in boys and girls have been painstakingly studied, but fewer have examined these factors across lexical categories, let&#x20;alone whether they have an equal effect in both sexes. More knowledge of what affects the variation in early vocabulary in boys and girls is needed for clinical practice and preventive purposes. Vocabulary was measured with the Finnish version of the MacArthur Communicative Development Inventory. The effect of child and family factors on vocabulary growth in various lexical categories was analyzed separately for boys and girls using structural equational modelling. The results of the present study indicate that vocabulary development in the lexical categories is affected differently by child and parental factors in girls and boys as early as the second year of life, which gives new insights into the factors that need consideration in clinical practice and preventive&#x20;work.</p>
</abstract>
<kwd-group>
<kwd>child&#x2019;s sex</kwd>
<kwd>day care attendance</kwd>
<kwd>late onset of speech</kwd>
<kwd>lexical categories</kwd>
<kwd>MacArthur-Bates communicative development inventory</kwd>
<kwd>vocabulary development, lexical category growth</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Broad variations are typical of early language development, which is commonly measured in vocabulary size. Such variation is especially true of expressive vocabulary size already at 1&#xa0;year of age (<xref ref-type="bibr" rid="B5">Bates et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B21">Fenson et&#x20;al., 2007</xref>), and the range appears to increase between ages 1 and 2&#xa0;years as the vocabulary grows (<xref ref-type="bibr" rid="B62">Stolt et&#x20;al., 2008</xref>). Investigating the factors that influence variation in early language is important, as there is evidence that a small vocabulary size at 2&#xa0;years of age is often related to later language impairments or persistent language delay and can predict language and literacy ability up into school age (<xref ref-type="bibr" rid="B3">Armstrong et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B42">Lee, 2011</xref>; <xref ref-type="bibr" rid="B55">Rescorla and Dale, 2013</xref>; <xref ref-type="bibr" rid="B65">Torppa et&#x20;al., 2010</xref>). Moreover, there are indications that vocabulary size at age 18&#xa0;months is associated not only with vocabulary size 2&#xa0;years later, but with development in all language domains (<xref ref-type="bibr" rid="B69">Vehkavuori and Stolt, 2019</xref>).</p>
<p>Variation in early language development has been studied comprehensively in relation to various factors related to the child and the child&#x2019;s parents. The most common factors are mentioned here. The parents&#x2019; own background of late onset of speech has been related to late language emergence or limited language in the child in many studies (e.g., <xref ref-type="bibr" rid="B6">Bavin and Bretherton, 2013</xref>; <xref ref-type="bibr" rid="B54">Reilly et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B74">Zubrick et&#x20;al., 2007</xref>), and a family history of late onset of speech has been found to triple the risk of persistent delayed language in the child (<xref ref-type="bibr" rid="B73">Zambrana et&#x20;al., 2014</xref>). However, there are also studies where this association has not been found in early language development up to 36&#xa0;months of age (e.g., <xref ref-type="bibr" rid="B37">Korpilahti et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al., 2018</xref>). Strong correlations have additionally been detected between parental socioeconomic level (SES) and the child&#x2019;s early language development, where a high level of education and occupation have been associated with larger vocabulary size in countries like the United&#x20;States, Australia, and Estonia (e.g., <xref ref-type="bibr" rid="B22">Fernald et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B28">Hart and Risley, 1995</xref>; <xref ref-type="bibr" rid="B54">Reilly et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B66">Tulviste and Schults, 2020</xref>; <xref ref-type="bibr" rid="B67">Urm and Tulviste, 2016</xref>). On the other hand, no associations have been found between high parental education and early expressive vocabulary size in children from the Netherlands (<xref ref-type="bibr" rid="B29">Henrichs et&#x20;al., 2011</xref>) or in a cross-linguistic study from Croatia, Estonia, and Finland (<xref ref-type="bibr" rid="B38">Kuvac&#x30c;-Kraljevic&#xb4; et&#x20;al., 2021</xref>). Especially the mother&#xb4;s high educational and/or occupational level has been associated with greater early language development (<xref ref-type="bibr" rid="B25">Gilkerson et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B28">Hart and Risley 1995</xref>; <xref ref-type="bibr" rid="B30">Hoff, 2003</xref>; <xref ref-type="bibr" rid="B44">Letts et&#x20;al., 2013</xref>). However, more recent studies have also found associations between paternal educational and occupational level and early language development in children (e.g., <xref ref-type="bibr" rid="B3">Armstrong et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B4">Barbu et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al., 2018</xref>). There are also studies where positive associations between parental education and or occupation have not been found or have been identified only in particular language domains or lexical categories. Some associations have been found between parental high education and number of nouns, predicates, and closed class words in the child&#x2019;s early language (<xref ref-type="bibr" rid="B5">Bates et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B59">Schults et&#x20;al., 2012</xref>). <xref ref-type="bibr" rid="B20">Feldman et&#x20;al. (2000)</xref> again found no relation between maternal educational level and expressive vocabulary scores in 2-year-old children, but rather in other language domains. In addition, at the age of 1&#xa0;year, they found that children of low educated mothers had higher vocabulary scores compared to children of highly educated mothers (<xref ref-type="bibr" rid="B20">Feldman et&#x20;al., 2000</xref>). In a few studies, the SES factors have been analyzed separately in boys and girls in relation to language development, showing different effects of the parents&#x2019; education and occupation depending on the child&#x2019;s sex (<xref ref-type="bibr" rid="B4">Barbu et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al., 2018</xref>). The methods used to measure early language development vary in different studies, making it difficult to analyze in depth what causes the differences in the results. Most of the studies mentioned above have used the MacArthur Developmental Inventories (CDI), a parental report which has been adapted to many languages (<xref ref-type="bibr" rid="B5">Bates et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B6">Bavin and Bretherton, 2013</xref>; <xref ref-type="bibr" rid="B20">Feldman et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B22">Fernald et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B29">Henrichs et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B37">Korpilahti et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B38">Kuvac&#x30c;-Kraljevic&#xb4; et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B54">Reilly et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B59">Schults et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B66">Tulviste and Schults, 2020</xref>; <xref ref-type="bibr" rid="B67">Urm and Tulviste, 2016</xref>). Even in studies which have used this instrument, results indicating the effect of background variables on the development of children&#x2019;s vocabulary differ from each&#x20;other.</p>
<p>Child factors often associated with early language development are birth order, day care attendance, and the child&#xb4;s sex; the most evident is the latter, most studies suggesting a discrepancy in favor of girls between the ages of 1&#x2013;3&#xa0;years (<xref ref-type="bibr" rid="B1">Andersson et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B20">Feldman et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B29">Henrichs et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B58">Schults and Tulviste, 2016</xref>; <xref ref-type="bibr" rid="B60">Simonsen et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B66">Tulviste and Schults, 2020</xref>). In a study with children from 10 different language backgrounds, <xref ref-type="bibr" rid="B18">Eriksson et&#x20;al. (2012)</xref> found this discrepancy in favor of girls to increase up to the age of 30&#xa0;months. Differences between boys and girls in early vocabulary development have not been found in all studies. Some studies point out that at an earlier age, under 12&#xa0;months, differences between expressive vocabulary size in boys and girls are small or non-existent (<xref ref-type="bibr" rid="B60">Simonsen et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B62">Stolt et&#x20;al., 2008</xref>), but also that no sex differences have been found at later ages either (<xref ref-type="bibr" rid="B1">Andersson et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B10">Bornstein et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B27">Hadley et&#x20;al., 2016</xref>). Therefore, even if most studies propose a sex difference in early expressive vocabulary in favor of girls, there are results that indicate the opposite. A greater expansion in early vocabulary development and skills has also, according to some studies, been linked to birth order, with firstborn children having an advantage over those born later (<xref ref-type="bibr" rid="B7">Berglund et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B31">Hoff-Ginsberg, 1998</xref>; <xref ref-type="bibr" rid="B67">Urm and Tulviste 2016</xref>). It has further been suggested that the &#x201c;word spurt&#x201d; is more common in firstborns than in children born later, the vocabulary growing faster in the former but more steadily and slowly in the latter (<xref ref-type="bibr" rid="B26">Goldfield and Reznick, 1990</xref>). There are studies contradicting these results. <xref ref-type="bibr" rid="B38">Kuvac&#x30c;-Kraljevic&#xb4; et&#x20;al. (2021)</xref> found no advantage to being firstborn in terms of vocabulary size in 2-year-old Croatian, Estonian, and Finnish children, while <xref ref-type="bibr" rid="B66">Tulviste and Schults (2020)</xref> found a larger vocabulary size at the age of 36&#xa0;months in children with older siblings. Another child factor that is often studied, with inconsistent results, is the association between day care attendance outside the home and early language development. Some studies suggest positive language effects of attending day care in the Netherlands (<xref ref-type="bibr" rid="B35">Keegstra et&#x20;al., 2007</xref>), Norway (<xref ref-type="bibr" rid="B43">Lekhal et&#x20;al., 2011</xref>), and the United&#x20;States (<xref ref-type="bibr" rid="B57">Scheffner Hammer et&#x20;al., 2017</xref>). However, there is also evidence of positive short-range effects, but smaller long-range effects, of attending day care on early language development in Europe, America, and Asia (review by <xref ref-type="bibr" rid="B12">Burger 2010</xref>). In studies conducted in the Netherlands (<xref ref-type="bibr" rid="B46">Luijk et&#x20;al., 2015</xref>), Germany (<xref ref-type="bibr" rid="B61">Stolarova et&#x20;al., 2016</xref>), and Estonia (<xref ref-type="bibr" rid="B67">Urm and Tulviste, 2016</xref>), negative correlations have been found between early language development and the number of hours spent in day care or the age the child entered day care. These in-depth studies have largely focused on the total vocabulary size at various child ages, but only a few of them look at separate lexical categories.</p>
<p>Studies on the composition of vocabulary (here referred to as lexical categories) have divided vocabulary into broader vs narrower lexical categories. In studies that focus on broader lexical categories, these have usually included social terms (sound effects, games and routines, and people), common nouns, predicates (verbs and descriptive words), and grammatical function words (i.e.,&#x20;<xref ref-type="bibr" rid="B14">Cadime et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B59">Schults et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B63">Stolt et&#x20;al., 2007</xref>). Studies with a narrow classification of lexical categories have investigated sound effects, nouns, people, games and routines, verbs, descriptive words, and function words (including time words, pronouns, question words, prepositions, and quantifiers) (i.e.,&#x20;<xref ref-type="bibr" rid="B21">Fenson, 2007</xref>; <xref ref-type="bibr" rid="B58">Schults &#x26; Tulviste, 2016</xref>; <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B71">2008</xref>).</p>
<p>Trajectories of growth in lexical categories can be observed in early vocabulary development. The first word-like utterances are usually sound effects and routine words. These kinds of words, often referred to as onomatopoeic words, can be linked to both the sounds and meanings of the concepts they refer to (<xref ref-type="bibr" rid="B34">Imai et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B40">Laing, 2014</xref>). They are common in the early vocabulary but later give way to other words (<xref ref-type="bibr" rid="B70">Wehberg et&#x20;al., 2007</xref>). As the vocabulary grows, nouns establishing reference are added more quickly, followed by action, descriptive and function words (<xref ref-type="bibr" rid="B16">Caselli, et&#x20;al., 1999</xref>; <xref ref-type="bibr" rid="B62">Stolt et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al., 2007</xref>). In a longitudinal study, <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al. (2007)</xref> followed Danish children with the CDI inventory every month between the ages of 8 and 30&#xa0;months. They found that initial words used by the children were predominantly from the categories of sound effects and games and routines. These words decreased in use as the vocabulary grew and nouns became more predominant (<xref ref-type="bibr" rid="B70">Wehberg et&#x20;al., 2007</xref>). The lexical groups of action, descriptive and function words grew more slowly in these initial stages of development with descriptive words as the last group to develop. The number of people words was quite constant in the first 100 words. Similar trajectories were found in Finnish and Estonian children. <xref ref-type="bibr" rid="B62">Stolt et&#x20;al. (2008)</xref> studied early vocabulary growth in 35 Finnish children aged 0;9&#x2013;2;0, using the CDI questionnaires. They examined social terms (sound effects, people names, and games and routine words), nouns, verbs, adjectives, and function words. As in the study of <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al. (2007)</xref>, social terms were proportionally the largest group in the initial vocabulary. The developmental trajectory of the other lexical categories was similar to that in the study of <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al. (2007)</xref>, with a larger growth of nouns followed by action words. Function words and adjectives were the lexical categories that increased more slowly. <xref ref-type="bibr" rid="B59">Schults et&#x20;al. (2012)</xref> investigated vocabulary development, with special focus on broader lexical categories. Social terms (including the categories of sound effects, people words, and games and routines) was the largest lexical group at the beginning of expressive vocabulary development but decreased proportionally as the vocabulary grew (<xref ref-type="bibr" rid="B59">Schults et&#x20;al., 2012</xref>). As in the study of <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al. (2007)</xref> and <xref ref-type="bibr" rid="B62">Stolt et&#x20;al. (2008)</xref>, the category of nouns grew fast in Estonian children and was the dominant lexical category, followed by predicates (verbs and adjectives) and function words (<xref ref-type="bibr" rid="B59">Schults et&#x20;al., 2012</xref>). The category of nouns in early vocabulary increased fast until it reached about 50% of the words in the early vocabulary, after which the growth slowed (<xref ref-type="bibr" rid="B62">Stolt et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al., 2007</xref>). These referential words function as building blocks for verbs (e.g., <xref ref-type="bibr" rid="B5">Bates et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B15">Caselli et&#x20;al., 1995</xref>). <xref ref-type="bibr" rid="B45">Longobardi et&#x20;al. (2017)</xref> found connections between the development of nouns and verbs, the percentage of nouns in the child&#xb4;s vocabulary at 1;4 predicting the number of verbs at 1;8&#xa0;years. There are indications of mutual relationships between the lexical categories, which are more dependent upon the size of the vocabulary than on the age of the child (<xref ref-type="bibr" rid="B50">McGregor et&#x20;al., 2005</xref>). This means that for the function words to emerge and be taken into communicative use, a larger total vocabulary is needed (<xref ref-type="bibr" rid="B5">Bates et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B16">Caselli, et&#x20;al., 1999</xref>). There is evidence that both predicates and function words are central to the development of grammar and syntax (<xref ref-type="bibr" rid="B50">McGregor et&#x20;al., 2005</xref>), and that the number of action words at 24&#xa0;months of age better predicts grammatical complexity than nouns (<xref ref-type="bibr" rid="B27">Hadley et&#x20;al., 2016</xref>). This implies that precursors to limitations in sentence building and grammar can be found already in the analysis of early vocabulary content. Given that the sizes of various lexical categories are of importance for later language development, there is a need to dig deeper into factors influencing their growth. However, studies focusing on early growth of lexical categories in relation to parental and child factors are scarce.</p>
<p>Although the development of lexical categories has been studied extensively, studies on the effects of background factors (like the child&#x2019;s sex, birth order, maternal educational level, and day care attendance) on the development of early lexical categories are scarce and relate only to some of these factors. None of these studies have, furthermore, examined the effect of background factors on lexical categories separately in boys and girls. There is evidence from earlier studies that girls outpace boys in the number of words in lexical categories, but the distribution and developmental phase of the categories seems to be equivalent between boys and girls (<xref ref-type="bibr" rid="B58">Schults and Tulviste, 2016</xref>; <xref ref-type="bibr" rid="B71">Wehberg et&#x20;al., 2008</xref>). Furthermore, there seem to be more content differences within the categories than between them in boys vs girls (<xref ref-type="bibr" rid="B58">Schults and Tulviste, 2016</xref>; <xref ref-type="bibr" rid="B71">Wehberg et&#x20;al., 2008</xref>). <xref ref-type="bibr" rid="B59">Schults et&#x20;al. (2012)</xref> found effects of the child&#x2019;s sex only in the category of social terms, girls producing more social words than boys. Which lexical categories are considered to develop more in firstborn children varies between studies. <xref ref-type="bibr" rid="B71">Wehberg et&#x20;al. (2008)</xref> studied lexical development in the first 100 words between ages 0;8 and 1;3 and found that firstborns used more people names than children born later. <xref ref-type="bibr" rid="B59">Schults et&#x20;al. (2012)</xref>, on the other hand, found that firstborn children of the same ages had more nouns in their vocabulary. In a study by <xref ref-type="bibr" rid="B71">Wehberg et&#x20;al. (2008)</xref>, no differences according to firstborn status were found in the categories of nominals and non-nominals. Richer use of nouns in children between the ages of 8 and 23&#xa0;months has been associated with high maternal education (<xref ref-type="bibr" rid="B14">Cadime et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B59">Schults et&#x20;al., 2012</xref>). In older children up to 30&#xa0;months of age, a high maternal educational level has been associated with a greater number of words in all broader lexical categories including social terms, common nouns, predicates, and function words (<xref ref-type="bibr" rid="B14">Cadime et&#x20;al., 2018</xref>). <xref ref-type="bibr" rid="B14">Cadime et&#x20;al. (2018)</xref> found no association between attending day care outside the home and increased vocabulary in any of the lexical categories in children aged 16&#x2013;23 and 24&#x2013;30&#xa0;months.</p>
<p>Only a few studies have examined the association between child and parental factors and early development of lexical categories (<xref ref-type="bibr" rid="B14">Cadime et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B59">Schults et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B58">Schults and Tulviste, 2016</xref>). To our knowledge, there is a lack of studies which focus on the impact of parental SES levels and family burden of late onset of speech on the development of these categories in boys and girls separately. There is reason to believe that the trajectory of vocabulary growth of lexical categories differs in boys and girls in relation to child and parental factors, as has been suggested for early language development and total vocabulary size (<xref ref-type="bibr" rid="B4">Barbu et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al., 2018</xref>). In the search for explanations for the variation in early vocabulary, some associations could possibly be hidden when composite scores are used for both&#x20;sexes.</p>
<p>As the studies above show, there is a discrepancy in the results concerning factors predicting early language development, and too few studies have investigated these factors separately in boys and girls. The aim of the present study was to broaden the perspective on early vocabulary growth of lexical categories in boys and girls during the second year of life, and in doing so reduce the inconsistency regarding factors influencing early lexical development. We endeavored also to share more light especially on early vocabulary development of lexical categories in boys vs girls in relation to child and family factors. We aimed to examine 1) whether child factors (being firstborn, day care attendance at ages 13 and 24&#xa0;months) and family factors (level of parental education and occupation, a family burden of late onset of speech) predict early vocabulary growth differently in lexical categories; and 2) whether these child and family factors predict vocabulary growth differently among boys and girls. To address these aims, we analyzed vocabulary growth between the ages of 13 and 24&#xa0;months in 719 children from a cohort from the study &#x201c;Steps to the Healthy Development and Well-being of Children&#x201d; (the STEPS study), with structural equational modelling (SEM). Based on previous, we hypothesized that high parental education and occupational level, family history without late onset of speech, firstborn status, and not attending day care at 13 and 24&#xa0;months of age would predict larger vocabulary growth in the lexical categories. We also hypothesized that there would be different effects of child and family factors in the development of lexical categories in boys and girls, as suggested for total vocabulary or language development by <xref ref-type="bibr" rid="B4">Barbu et&#x20;al. (2015)</xref> and <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al. (2018)</xref>. <xref ref-type="fig" rid="F1">Figure&#x20;1</xref> illustrates the conceptual model depicting the hypothesized predictions between the key study variables.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Conceptual model of the hypothesized relations between the study constructs.</p>
</caption>
<graphic xlink:href="fcomm-06-709045-g001.tif"/>
</fig>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Participants</title>
<p>The participants were part of a longitudinal birth cohort study, Steps to the Healthy Development and Well-being of Children (the STEPS study), in the Hospital District of Southwest Finland (<xref ref-type="bibr" rid="B39">Lagstr&#xf6;m et&#x20;al., 2013</xref>). The Finnish Ministry of Social Affairs and Health and the Ethics Committee of the Hospital District of Southwest Finland approved the STEPS Study in 2007. Participants were enrolled from an eligible cohort of 9,811 Finnish- and Swedish-speaking mothers at maternity clinics during pregnancy or on the delivery ward at birth. From the eligible cohort, 1,797 mothers provided written consent to participate in the study and were informed of the possibility to withdraw at any time. The recruited children were born between January 2008 and April&#x20;2010.</p>
<p>Inclusion criteria for the present study were language data in Finnish for the child at both ages 13 and 24&#xa0;months. Children with language data in Swedish or both Finnish and Swedish were not included, either because Finnish was not the child&#x2019;s first language or its status in the family was unknown. Exclusion criteria were children born preterm (&#x3c;259&#xa0;days) or with missing gestational data, and children with diagnosed impairments possibly affecting language development (i.e.,&#x20;epilepsy, cleft palate). Families with a mother with another home language than Finnish but who had completed the language questionnaires in Finnish were also excluded. The final sample was 369 boys and 350 girls (<italic>N</italic>&#x20;&#x3d; 719, two twins). <xref ref-type="fig" rid="F2">Figure&#x20;2</xref> summarizes the enrolment procedure.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Flowchart of the enrolment procedure.</p>
</caption>
<graphic xlink:href="fcomm-06-709045-g002.tif"/>
</fig>
</sec>
<sec id="s2-2">
<title>Data Collection</title>
<p>Expressive vocabulary growth between 13 and 24&#xa0;months of age was assessed using the parental report of the Finnish MacArthur Communicative Development Inventory (CDI): Words and Gestures (CDI-I) at the child&#x2019;s age of 13&#xa0;months, and Words and Sentences (CDI-T) at age 24&#xa0;months (<xref ref-type="bibr" rid="B47">Lyytinen, 1999</xref>; Test information cf.; <xref ref-type="bibr" rid="B21">Fenson et&#x20;al., 2007</xref>). The parents could complete the questionnaires on the study&#x2019;s website or on paper returned with a stamped envelope. A new questionnaire was sent if there was no answer within 2&#xa0;weeks. The evaluation of vocabulary production by parental reports has been found to correlate highly with standardized testing (<xref ref-type="bibr" rid="B21">Fenson et&#x20;al., 2007</xref>) and has been considered a valid tool to examine early vocabulary (<xref ref-type="bibr" rid="B79">Feldman et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B37">Korpilahti et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B64">Thal et&#x20;al., 1999</xref>).</p>
<p>The outcome measure was vocabulary growth between the ages of 13 and 24&#xa0;months in the various lexical categories comprised in the measured expressive vocabulary. The Finnish CDI-I and CDI-T inventories consist of 19 and 20 semantic or lexical categories, respectively, which were analyzed in the following lexical categories: sound effects and animal sounds (13, 13 items), common nouns (207, 293 items), people (16, 24 items), games and routines (18, 22 items), action words (60, 106 items), descriptive words (26, 54 items), time words (8, 12 items), pronouns (8, 24 items), questions (7, 8 items), prepositions (11, 20 items), amount (6, 9 items), and particles (10 items only in the CDI-T). Growth between the measure points 13 and 24&#xa0;months was analyzed for all lexical categories except particles, which was only available in the CDI-T. We analyzed the vocabulary in number of words at ages 13 and 24&#xa0;months. To be comparable, the growth between 13 and 24&#xa0;months was analyzed in percentage words of the total vocabulary in each lexical category, as numbers of words in the lexical categories differ between the CDI-I and CDI-T. A function factor was constructed of five items measuring different kinds of grammatical categories. These were time words, pronouns, questions, prepositions, and amount. All these categories express different kinds of grammatical function words that start to develop in the latter part of the second&#x20;year.</p>
</sec>
<sec id="s2-3">
<title>Child and Family Factors</title>
<p>The families completed parental and child questionnaires about demographic factors such as educational and occupational background, family structure, health history, and day care attendance at ages 13 and 24&#xa0;months. The questionnaires were answered at gestational weeks 10&#x2013;15 by the mothers, at gestational weeks 20 and 30 separately by both parents, and when the child was aged 13 and 24&#xa0;months by one of the parents. Mothers recruited on the delivery ward completed the first questionnaire at that&#x20;time.</p>
<p>Independent child factors analyzed in the study were being the firstborn and reported day care attendance at 13 and 24&#xa0;months of age. Family factors were parental educational level, occupational level, and a family history of late onset of speech. All child and family variables were analyzed separately for lexical growth in boys and girls. The firstborn variable was analyzed as dichotomous (yes or no). The child&#x2019;s attendance in day care outside the home was asked for at 13 and 24&#xa0;months and analyzed as dichotomous variables (yes or no). At age 13&#xa0;months, only 21.1% of the children were in day care outside the home compared to 53.15% at age 24&#xa0;months. Educational level was analyzed in four categories for the mothers and fathers: no occupational education (<italic>n</italic>&#x20;&#x3d; 101 [14.5%] and <italic>n</italic>&#x20;&#x3d; 196 [28.7%], respectively), college degree (<italic>n</italic>&#x20;&#x3d; 146 [20.9%] and <italic>n</italic>&#x20;&#x3d; 173 [25.3%], respectively), lower university degree (<italic>n</italic>&#x20;&#x3d; 233 [33.4%] and <italic>n</italic>&#x20;&#x3d; 164 [24.0%], respectively), and higher university degree (<italic>n</italic>&#x20;&#x3d; 217 [31.1%] and <italic>n</italic>&#x20;&#x3d; 150 [22.0%], respectively). In cases where the mother or father had chosen the alternative &#x201c;other education&#x201d; in the questionnaire, this was regarded as a missing value (<italic>n</italic>&#x20;&#x3d; 22 and <italic>n</italic>&#x20;&#x3d; 36, respectively), as there was no way to know the level of the education the parent had participated in. The occupational status of the mothers and fathers was analyzed in three categories: low (including farmers, construction, process or transport workers, <italic>n</italic>&#x20;&#x3d; 55 [8.7%] and <italic>n</italic>&#x20;&#x3d;&#x20;183 [31.5%], respectively), medium (including office and service workers, <italic>n</italic>&#x20;&#x3d; 187 [29.5%] and <italic>n</italic>&#x20;&#x3d; 70 [12.0%], respectively), and high (including managers, specialists and professionals, <italic>n</italic>&#x20;&#x3d; 391 [61.8%] and <italic>n</italic>&#x20;&#x3d; 328 [56.5%], respectively). A family burden of late onset of speech was analyzed as a sum variable of parental self-reports of late onset in their own speech, in a sibling&#x2019;s speech or in the speech of a near relative and was categorized as a dichotomous variable (yes or no). There were no significant differences in background variables between boys and girls. It is therefore feasible to assume that the two groups were comparable. See <xref ref-type="table" rid="T1">Table&#x20;1</xref> for a descriptive overview of the participants.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Descriptive overview of participants in the study. Comparison between background variables as a function of the child&#xb4;s sex. <italic>t</italic>-test (conducted for continuous variables) denoted by <italic>mean</italic> (<italic>SD</italic>), and Chi-square test (conducted for categorical variables) is presented by <italic>n</italic> (%).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Boys (<italic>n</italic>&#x20;&#x3d; 369)</th>
<th align="center">Girls (<italic>n</italic>&#x20;&#x3d; 350)</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Child</td>
<td colspan="3" align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Apgar, <italic>M (SD)</italic>
</td>
<td align="char" char="(">9.0 (0.8)</td>
<td align="char" char="(">9.1 (0.8)</td>
<td align="char" char=".">0.852</td>
</tr>
<tr>
<td align="left">&#x2003;Firstborn, <italic>M (SD)</italic>
</td>
<td align="char" char="(">201 (54.5)</td>
<td align="char" char="(">187 (53.4)</td>
<td align="char" char=".">0.779</td>
</tr>
<tr>
<td align="left">&#x2003;Day care attendance</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;at 13&#xa0;months</td>
<td align="char" char="(">78 (21.4)</td>
<td align="char" char="(">73 (20.9)</td>
<td align="char" char=".">0.882</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;at 24&#xa0;months</td>
<td align="char" char="(">182 (52.6)</td>
<td align="char" char="(">178 (53.6)</td>
<td align="char" char=".">0.792</td>
</tr>
<tr>
<td align="left">Family</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Age at birth (mother), <italic>M (SD)</italic>
</td>
<td align="char" char="(">31.1 (4.2)</td>
<td align="char" char="(">31.2 (4.3)</td>
<td align="char" char=".">0.887</td>
</tr>
<tr>
<td align="left">&#x2003;Age at birth (father), <italic>M (SD)</italic>
</td>
<td align="char" char="(">33.1 (5.2)</td>
<td align="char" char="(">33.1 (5.4)</td>
<td align="char" char=".">0.900</td>
</tr>
<tr>
<td align="left">&#x2003;Educational level (mother), <italic>n</italic> (%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.406</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Higher university degree</td>
<td align="char" char="(">118 (32.8)</td>
<td align="char" char="(">99 (29.4)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Lower university degree</td>
<td align="char" char="(">120 (33.3)</td>
<td align="char" char="(">113 (33.5)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;College degree</td>
<td align="char" char="(">67 (18.6)</td>
<td align="char" char="(">79 (23.4)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;No occupational education</td>
<td align="char" char="(">55 (15.3)</td>
<td align="char" char="(">46 (13.6)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Educational level (father), <italic>n</italic> (%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.469</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Higher university degree</td>
<td align="char" char="(">85 (23.8)</td>
<td align="char" char="(">65 (19.9)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Lower university degree</td>
<td align="char" char="(">79 (22.1)</td>
<td align="char" char="(">85 (26.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;College degree</td>
<td align="char" char="(">88 (24.6)</td>
<td align="char" char="(">85 (26.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;No occupational education</td>
<td align="char" char="(">105 (29.4)</td>
<td align="char" char="(">91 (27.9)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Occupational level (mother), <italic>n</italic> (%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.143</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;High</td>
<td align="char" char="(">204 (62.6)</td>
<td align="char" char="(">187 (60.9)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Medium</td>
<td align="char" char="(">88 (27.0)</td>
<td align="char" char="(">99 (32.2)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Low</td>
<td align="char" char="(">34 (10.4)</td>
<td align="char" char="(">21 (6.8)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Occupational level (father), <italic>n</italic> (%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.571</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;High</td>
<td align="char" char="(">166 (55.7)</td>
<td align="char" char="(">167 (57.2)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Medium</td>
<td align="char" char="(">33 (11.1)</td>
<td align="char" char="(">37 (13.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Low</td>
<td align="char" char="(">99 (33.2)</td>
<td align="char" char="(">84 (29.7)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Family history of late onset of speech, <italic>n</italic> (%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.541</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Yes</td>
<td align="char" char="(">32 (8.7)</td>
<td align="char" char="(">26 (7.4)</td>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-4">
<title>Analysis</title>
<p>The analyses for the present study were carried out using the IBM Statistics SPSS 25&#x2013;26 and Mplus 8.0 software with Maximum Likelihood estimator (<xref ref-type="bibr" rid="B80">Muth&#xe9;n and Muth&#xe9;n, 1998&#x2013;2011</xref>). Missing data on the dependent variables (0.1&#x2013;0.3% per item) were handled with the Expectation Maximization procedure. In the descriptive analysis of the present study, mean and standard deviation (<italic>SD</italic>) for continuous variables and number and percent for categorial variables were used to describe the study participants. The differences in the mean size of lexical categories and in vocabulary growth of lexical categories between boys and girls were analyzed using an independent two tailed <italic>t</italic>-test. Pearson&#xb4;s correlation analysis was used in comparing the relationship between growth in the lexical categories in boys and girls. <italic>p</italic>-values of less than 0.05 were considered statistically significant.</p>
<p>To test the hypothesized model of differences in early vocabulary growth of lexical categories, SEM analysis was performed (See <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). SEM provides the possibility to use multiple indicators to represent a latent variable leading to a reduction in measurement error, analyses of multiple dependent variables simultaneously, flexible handling of missing values on the dependent variables, and testing coefficients across multiple between-subjects groups (e.g., <xref ref-type="bibr" rid="B9">Bollen, 1989</xref>; <xref ref-type="bibr" rid="B13">Byrne, 2012</xref>). Analyses were conducted using, first, confirmatory factor analysis (CFA) to examine the factor structure of the latent outcome variable, and second, SEM to assess the regressions, including the CFA models and observed variables. In all cases, factors were allowed to correlate, and errors were assumed to be uncorrelated. The fit of the models was evaluated by the chi-square test statistic and fit indices including root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), Tucker-Lewis index (TLI), and comparative fit index (CFI). The following cutoff values were applied: RMSEA values under 0.08 and TLI and CFI values preferable over 0.95 (e.g., <xref ref-type="bibr" rid="B32">Hu and Bentler (1999)</xref>) but acceptable if over 0.90 (e.g., <xref ref-type="bibr" rid="B36">Kline, 2011</xref>; <xref ref-type="bibr" rid="B51">Mets&#xe4;muuronen, 2009</xref>). While the ratios of the chi-square statistic and degrees of freedom were carefully considered, statistical significance of the chi-square value alone was not interpreted to indicate an inadequate fit (<xref ref-type="bibr" rid="B33">Hu and Bentler, 1995</xref>; <xref ref-type="bibr" rid="B13">Byrne, 2012</xref>).</p>
<p>To examine the extent to which possible differential item functioning of the outcome factor &#x201c;function words&#x201d; may affect the group differences in focus in the present study, a comparison of multigroup CFA (MGCFA) models across the child&#x2019;s sex was performed, starting with the less restricted model to the more constrained model as suggested by <xref ref-type="bibr" rid="B11">Brown (2015)</xref>. We applied a hierarchy employing two levels of measurement invariance: configural and metric. The metric invariance is considered sufficient for the purposes of the present study, as it meets the prerequisite to examine structural relationships between variables (e.g., <xref ref-type="bibr" rid="B36">Kline, 2011</xref>). In determining the invariance of nested models, we examined the differences in multiple fit indices including the RMSEA, CFI, and TLI. In comparing the metric model with a less restricted configural one, we used the critical values of 0.01 and 0.015 for the differences in CFI and RMSEA, and 0.022 for TLI (e.g., <xref ref-type="bibr" rid="B17">Chen, 2007</xref>). To examine the between-group differences in the hypothesized regressions, a multigroup SEM (MGSEM) was applied. While the invariance of the regressions would indicate similar effects of background variables on language development in boys and girls, the non-invariance confirms the differential associations.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Vocabulary Growth Between the Ages of 13 and 24&#xa0;months in Lexical Categories</title>
<p>There was a large variation in total vocabulary size at 13 and 24&#xa0;months of age in and between boys and girls. Mean vocabulary size at 13 and 24&#xa0;months of age in boys was 7.8 (<italic>SD</italic> &#x3d; 10.9, <italic>Range</italic> &#x3d; 0&#x2013;116) and 262.2 (<italic>SD</italic> &#x3d; 168.1, <italic>Range</italic> &#x3d; 4&#x2013;593), respectively, and in girls 11.8 (<italic>SD</italic> &#x3d; 22.8, <italic>Range</italic> &#x3d; 0&#x2013;297) and 340.3 (<italic>SD</italic> &#x3d; 152.5, <italic>Range</italic> &#x3d; 4&#x2013;595), respectively. Total vocabulary growth between the ages of 13 and 24&#xa0;months in boys was <italic>mean</italic>% 42.0 (<italic>SD</italic> &#x3d; 27.5) and in girls <italic>mean</italic>% 54.1 (<italic>SD</italic> &#x3d;&#x20;24.6).</p>
<p>Mean sizes of the various lexical categories varied widely between the children. Mean number of words in the category of common nouns at age 13&#xa0;months ranged from 0 to 71 in boys and 0 to 179 in girls. Forty-two percent of the boys and 35% of the girls had no words in the common noun category. At 24&#xa0;months of age, the variation in vocabulary size of nouns was still large, varying from 0 to 291 words in boys and 0 to 293 words in girls. At 2&#xa0;years of age, 1.7% (<italic>n</italic>&#x20;&#x3d; 7) of the boys and 0.6% (<italic>n</italic>&#x20;&#x3d; 2) of the girls had no noun in their vocabulary. The girls had a significantly larger vocabulary size than boys at 13&#xa0;months of age in four of the lexical categories: sound effects and animal sounds, common nouns, people, and games and routines. At 24&#xa0;months of age, the girls outperformed the boys in all lexical categories (<italic>p</italic>&#x20;&#x3c; 0.001).</p>
<p>The percentual growth of vocabulary between the ages of 13 and 24&#xa0;months was <italic>mean</italic>% 0.42 (<italic>SD</italic> &#x3d; 0.27) in boys and <italic>mean</italic>% 0.54 (<italic>SD</italic> &#x3d; 0.25) in girls. Vocabulary growth in lexical categories varied substantially in and between the categories. Some children had fewer words in some categories at 24&#xa0;months than at 13&#xa0;months of age, which explains the negative numbers in the ranges (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). Girls outperformed boys in vocabulary growth in all lexical categories except sound effects and animal sounds (<italic>p</italic>&#x20;&#x3c; 0.001). However, the effect sizes were small to moderate (<italic>d</italic>&#x20;&#x3d; &#x2212;0.25 to &#x2212;0.47).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Descriptive statistics of mean vocabulary growth (in %) between ages 13 and 24&#xa0;months for boys (<italic>n</italic>&#x20;&#x3d; 369) and girls (<italic>n</italic>&#x20;&#x3d; 350). Independent two-tailed <italic>t</italic>-test conducted when comparing mean differences between boys and&#x20;girls.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Lexical growth 13&#x2013;24&#xa0;months %</th>
<th align="center">Boys <italic>Mean (SD)</italic>
</th>
<th align="center">Girls</th>
<th align="center">
<italic>P</italic>
</th>
<th align="center">Cohen&#xb4;s d (95% CI)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Sound effects and animal sounds (13, 13)</td>
<td align="char" char="(">0.62 (0.22)</td>
<td align="char" char="(">0.61 (0.23)</td>
<td align="char" char=".">0.772</td>
<td align="center">0.02 (&#x2212;0.12, 0.168)</td>
</tr>
<tr>
<td align="left">Common nouns (207, 293)</td>
<td align="char" char="(">0.47 (0.29)</td>
<td align="char" char="(">0.60 (0.26)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.47 (&#x2212;0.62, &#x2212;0.32)</td>
</tr>
<tr>
<td align="left">People (16, 24)</td>
<td align="char" char="(">0.38 (0.24)</td>
<td align="char" char="(">0.44 (0.21)</td>
<td align="char" char=".">0.001</td>
<td align="center">&#x2212;0.25 (&#x2212;0.40, &#x2212;0.10)</td>
</tr>
<tr>
<td align="left">Games and routines (18, 22)</td>
<td align="char" char="(">0.54 (0.29)</td>
<td align="char" char="(">0.67 (0.25)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.44 (&#x2212;0.59, &#x2212;0.30)</td>
</tr>
<tr>
<td align="left">Action words (60, 106)</td>
<td align="char" char="(0">0.43 (0.35)</td>
<td align="char" char="(">0.59 (0.32)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.47 (&#x2212;0.62, &#x2212;0.32)</td>
</tr>
<tr>
<td align="left">Descriptive words (26, 54)</td>
<td align="char" char="(">0.30 (0.27)</td>
<td align="char" char="(">0.40 (0.27)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.38 (&#x2212;0.53, &#x2212;0.23)</td>
</tr>
<tr>
<td align="left">Time words (8, 12)</td>
<td align="char" char="(">0.27 (0.30)</td>
<td align="char" char="(">0.37 (0.32)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.30 (&#x2212;0.45, &#x2212;0.16)</td>
</tr>
<tr>
<td align="left">Pronouns (8, 24)</td>
<td align="char" char="(">0.18 (0.21)</td>
<td align="char" char="(">0.24 (0.21)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.29 (&#x2212;0.44, &#x2212;0.15)</td>
</tr>
<tr>
<td align="left">Questions (7, 8)</td>
<td align="char" char="(">0.29 (0.30)</td>
<td align="char" char="(">0.40 (0.30)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.36 (&#x2212;0.51, &#x2212;0.22)</td>
</tr>
<tr>
<td align="left">Prepositions (11, 20)</td>
<td align="char" char="(">0.43 (0.32)</td>
<td align="char" char="(">0.54 (0.29)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.38 (&#x2212;0.53, &#x2212;0.23)</td>
</tr>
<tr>
<td align="left">Amount (6, 9)</td>
<td align="char" char="(">0.33 (0.28)</td>
<td align="char" char="(">0.44 (0.28)</td>
<td align="char" char=".">&#x3c;0.001</td>
<td align="center">&#x2212;0.40 (&#x2212;0.55, &#x2212;0.25)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>In parentheses, total number of items in each category at age 13&#xa0;months, 24&#xa0;months.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The result of the Pearson correlation indicated a significant positive association (<italic>p</italic>&#x20;&#x3c; 0.001) between lexical growth in the lexical categories in boys (<italic>r</italic>&#x20;&#x3d; 0.237&#x2013;0.932) and in girls <italic>(r</italic> &#x3d; 0.196&#x2013;0.921), except for associations between sound effects vs pronouns and questions (<italic>r</italic>&#x20;&#x3d; 0.182, <italic>p</italic>&#x20;&#x3d; 0.001 and <italic>r</italic>&#x20;&#x3d; 0.164, <italic>p</italic>&#x20;&#x3d; 0.002, respectively) (<xref ref-type="table" rid="T3">Table&#x20;3</xref>). The correlations between sound effects and the other lexical categories were weak in both boys and girls (<italic>r</italic>&#x20;&#x3d; 237&#x2013;447 and <italic>r</italic>&#x20;&#x3d; 182&#x2013;365, respectively).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Correlations between growth in lexical categories in boys and girls aged 13&#x2013;24&#xa0;months (Pearson correlation).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Boys</th>
<th rowspan="2" align="center">1</th>
<th align="center">2</th>
<th rowspan="2" align="center">3</th>
<th rowspan="2" align="center">4</th>
<th rowspan="2" align="center">5</th>
<th rowspan="2" align="center">6</th>
<th rowspan="2" align="center">7</th>
<th rowspan="2" align="center">8</th>
<th rowspan="2" align="center">9</th>
<th rowspan="2" align="center">10</th>
<th rowspan="2" align="left">11</th>
</tr>
<tr>
<th align="center">Girls</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1. Sound effects</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.365<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.365<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.358<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.278<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.223<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.196<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.182<sup>&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.164<sup>&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.221<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.197<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">2. Nouns</td>
<td align="char" char=".">0.439<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.766<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.867<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.921<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.803<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.683<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.592<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.686<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.805<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.713<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">3. People</td>
<td align="char" char=".">0.426<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.854<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.739<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.737<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.682<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.624<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.601<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.594<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.641<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.609<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">4. Games and routines</td>
<td align="char" char=".">0.447<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.902<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.841<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.865<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.730<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.647<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.564<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.675<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.743<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.640<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">5. Action words</td>
<td align="char" char=".">0.361<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.932<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.824<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.881<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.868<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.759<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.656<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.755<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.856<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.778<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">6. Descriptive words</td>
<td align="char" char=".">0.341<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.875<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.812<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.822<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.906<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.846<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.743<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.751<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.843<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.814<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">7. Time words</td>
<td align="char" char=".">0.261<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.773<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.706<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.741<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.817<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.842<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.665<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.689<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.705<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.730<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">8. Pronouns</td>
<td align="char" char=".">0.237<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.678<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.668<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.665<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.740<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.777<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.754<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.729<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.701<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.715<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">9. Questions</td>
<td align="char" char=".">0.257<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.752<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.708<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.710<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.806<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.802<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.741<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.769<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.750<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.729<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">10. Prepositions</td>
<td align="char" char=".">0.339<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.878<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.777<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.838<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.897<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.858<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.792<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.727<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.787<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.788<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td align="left">11. Amount</td>
<td align="char" char=".">0.274<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.775<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.707<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.751<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.806<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.840<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.755<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.730<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.753<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="char" char=".">0.823<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td align="left">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;<italic>p</italic>&#x20;&#x3c; 05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 01, &#x2a;&#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c;&#x20;001</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Psychometric Analyses and Measurement Invariance for the Function Words Factor</title>
<p>Before predicting study outcomes, we examined the structure and invariance of the function factor across the sexes. The internal consistencies of the scale varied between 0.923 &#x2264; &#x3b1; &#x2264; 0.937, showing excellent measurement reliability (e.g., <xref ref-type="bibr" rid="B53">Nunnally and Bernstein, 1994</xref>). With regard to normality, the study items&#x2019; univariate distributions were all within a reasonable range (skewness &#xb1;2, kurtosis &#xb1;7; see <xref ref-type="bibr" rid="B77">Curran et&#x20;al., 1996</xref>). In addition, across both sexes the freely estimated factor loadings were significant (<italic>p</italic>&#x20;&#x3c; 0.001) and the coefficients were salient, ranging from 0.808 to 0.930. <xref ref-type="table" rid="T4">Table&#x20;4</xref> shows the tests for measurement invariance across the child&#x2019;s sex. The first step involved testing the same factor structure with boys&#x2019; and girls&#x2019; empirical covariance matrix separately. This produced very well-fitting models in each&#x20;group.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Tests for measurement invariance for function words factor across boys and&#x20;girls.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model</th>
<th align="center">&#x3c7;<sup>2</sup>
</th>
<th align="center">df</th>
<th align="center">
<italic>P</italic>
</th>
<th align="center">RMSEA</th>
<th align="center">CFI</th>
<th align="center">TLI</th>
<th align="center">SRMR</th>
<th align="center">&#x394; RMSEA</th>
<th align="center">&#x394; CFI</th>
<th align="center">&#x394; TLI</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Single group solutions</td>
<td colspan="10" align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Boys<xref ref-type="table-fn" rid="Tfn1">1</xref>
</td>
<td align="char" char=".">5.91</td>
<td align="char" char=".">4</td>
<td align="char" char=".">0.206</td>
<td align="char" char=".">0.036</td>
<td align="char" char=".">0.998</td>
<td align="char" char=".">0.996</td>
<td align="char" char=".">0.009</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">&#x2003;Girls</td>
<td align="char" char=".">11.12</td>
<td align="char" char=".">5</td>
<td align="char" char=".">0.049</td>
<td align="char" char=".">0.059</td>
<td align="char" char=".">0.995</td>
<td align="char" char=".">0.991</td>
<td align="char" char=".">0.011</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Measurement invariance<sup>a</sup>
</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;M1 configural</td>
<td align="char" char=".">16.65</td>
<td align="char" char=".">8</td>
<td align="char" char=".">0.034</td>
<td align="char" char=".">0.055</td>
<td align="char" char=".">0.997</td>
<td align="char" char=".">0.993</td>
<td align="char" char=".">0.009</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">&#x2003;M2 metric</td>
<td align="char" char=".">24.41</td>
<td align="char" char=".">12</td>
<td align="char" char=".">0.018</td>
<td align="char" char=".">0.054</td>
<td align="char" char=".">0.996</td>
<td align="char" char=".">0.993</td>
<td align="char" char=".">0.024</td>
<td align="char" char=".">0.001</td>
<td align="char" char=".">0.001</td>
<td align="char" char=".">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>1</label>
<p>Boys (<italic>n</italic>&#x20;&#x3d; 368), girls (<italic>n</italic>&#x20;&#x3d; 350); The following residual error was allowed to correlate: (Pronouns with Prepositions; <italic>r</italic>&#x20;&#x3d; &#x2212;0.39);<sup>a</sup>Models: M1, configural invariance (equal form); M2, metric invariance (factor loading constrained to be equal across groups).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A configural invariance model also showed an excellent fit to the data (<xref ref-type="table" rid="T4">Table&#x20;4</xref>, model M1). Further, constraining corresponding factor loadings to be equal across the sexes produced the metric invariance model which exhibited a good overall fit (M2 in <xref ref-type="table" rid="T4">Table&#x20;4</xref>). The minor changes in GFIs indicated full metric invariance of the function words scale across the study groups.</p>
</sec>
<sec id="s3-3">
<title>Predicting Differences in Early Vocabulary Growth Among Boys and Girls (MGSEM)</title>
<p>The initial structural model including the hypothesized associations between independent predictors and vocabulary growth outcomes (see <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>) demonstrated a well-fitting multigroup model to the data: &#x3c7;<sup>2</sup> (128) &#x3d; 285.13, RMSEA &#x3d; 0.071, CFI &#x3d; 0.976, TLI &#x3d; 0.947, SRMR &#x3d; 0.018. However, constraining the regression coefficients to be equal across the sexes resulted in a misfit of the data. This suggests that child and family factors affecting early vocabulary growth vary between boys and girls. <xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref> report the findings of the fully estimated models separately for both groups. Only statistically significant associations are included in the models.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Structural equation model including significant factors in predicting vocabulary growth in lexical categories in boys between ages 13 and 24&#xa0;months. <italic>Note</italic> (<italic>n</italic>&#x20;&#x3d; 245); &#x3c7;2 (60) &#x3d; 122.29, <italic>p</italic>&#x20;&#x3c; 0.001, RMSEA &#x3d; 0.065, CFI &#x3d; 0.9813, TLI &#x3d; 0.958, SRMR &#x3d; 0.016; Standardized coefficients. &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.001, &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05.</p>
</caption>
<graphic xlink:href="fcomm-06-709045-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Structural equation model including significant factors in predicting vocabulary growth in lexical categories in girls between ages 13 and 24&#xa0;months. <italic>Note</italic> (<italic>n</italic>&#x20;&#x3d; 239); &#x3c7;2 (61) &#x3d; 156.38, <italic>p</italic>&#x20;&#x3c; 0.001, RMSEA &#x3d; 0.082, CFI &#x3d; 0.969, TLI &#x3d; 0.925, SRMR &#x3d; 0.018; Standardized coefficients. &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.001, &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05.</p>
</caption>
<graphic xlink:href="fcomm-06-709045-g004.tif"/>
</fig>
<p>In boys, a family burden of late onset of speech predicted less vocabulary growth in all lexical categories except for the category of sound effects and animal sounds. However, this category was the only lexical category with larger growth in those boys attending day care at 24&#xa0;months of age. In girls, being firstborn predicted positive growth in descriptive and function words. In girls, attending day care predicted larger growth of words in the categories sound effects, nouns, people, and games and routines. (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>). However, the amount of explained variance was&#x20;small.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The aim of the present study was to examine if there are differences in how child factors and family factors predict vocabulary growth in various lexical categories, and whether these factors predict vocabulary growth differently in boys vs girls. We found differences in how these factors predicted vocabulary growth in the lexical categories. The main predictors of vocabulary growth between 13 and 24&#xa0;months of age were a family burden of late onset of speech, firstborn status, and day care experience at 24&#xa0;months of age. Moreover, there was a difference in how these factors predicted growth in the lexical categories as a function of the child&#x2019;s sex. The comparison of the results with previous studies is not straightforward, as earlier studies have analyzed the effect of factors on development of lexical categories in boys and girls together, and not separately as in the present study. Analyzing vocabulary growth as combined scores for boys and girls can possibly hide significant scores for either&#x20;sexes.</p>
<sec id="s4-1">
<title>Vocabulary Growth in Lexical Categories</title>
<p>The largest lexical group in both boys and girls at 13&#xa0;months of age was common nouns, followed by sound effects, people words, and games and routines. The predominance of nouns in early vocabulary acquisition as the vocabulary size increases is congruent with earlier studies (e.g., <xref ref-type="bibr" rid="B5">Bates et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B15">Caselli et&#x20;al., 1995</xref>; <xref ref-type="bibr" rid="B62">Stolt et&#x20;al., 2008</xref>). At 24&#xa0;months of age, nouns still formed the largest group in the vocabulary of both boys and girls, followed by action words, descriptive words, and games and routines. When the vocabulary reaches over 50 words, action and descriptive words start to develop (<xref ref-type="bibr" rid="B70">Wehberg et&#x20;al., 2007</xref>), as was similarly observed at group level in both boys and girls at 24&#xa0;months of age in our study. We found that the individual variability of vocabulary size within the lexical categories increased with age, as has been suggested in earlier studies with English, Italian, Slovenian, and Estonian children measured with CDI (<xref ref-type="bibr" rid="B16">Caselli et&#x20;al., 1999</xref>; <xref ref-type="bibr" rid="B49">Marjanovi&#x010D;-Umek et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B58">Schults and Tulviste, 2016</xref>). The girls outperformed the boys at age 13&#xa0;months in the lexical categories of sound effects, common nouns, people, and games and routines words, and at 24&#xa0;months in all categories. This is comparable with the results of <xref ref-type="bibr" rid="B58">Schults and Tulviste (2016)</xref>, who found significant differences between boys and girls in vocabulary size at ages 1;2 and 1;4 (<italic>N</italic>&#x20;&#x3d; 903) in all categories except descriptive and function words. None of the children in the present study reached the maximum ceiling of available words in a category at 13&#xa0;months of age, whereas at 24&#xa0;months the ceiling of all lexical categories was reached by some of the girls. Among the boys, some reached the ceiling in all categories except nouns, where the ceiling was not reached.</p>
<p>Considering the vocabulary growth, calculated in percentage, in the lexical categories between 13 and 24&#xa0;months of age in boys and girls, the same five categories were the fastest growing but in a slightly different order. In boys, sound effects showed the largest growth, followed by games and routines, nouns, action words, and prepositions, whereas in girls, games and routines was the largest growing category followed by sound effects, nouns and action words and prepositions. As for the growth size in the various lexical categories, the girls outpaced the boys in all lexical categories except for sound effects. The discrepancy between total vocabulary size in boys and girls has been shown to increase up to 30&#xa0;months of age in a cross-linguistic study with ten different European languages (<xref ref-type="bibr" rid="B18">Eriksson et&#x20;al., 2012</xref>). The same discrepancy should apparently be found in the size of and growth within the lexical categories, which was confirmed in the present study. The correlations between growth in the lexical categories were strong, except between sound effects and the other categories, where the correlation was small or medium-sized. The category sound effects and animal sounds is perhaps the one that differs most from the others, as it is large and transitory in early expressive vocabulary development and paves the way to more conventional words (<xref ref-type="bibr" rid="B15">Caselli et&#x20;al., 1995</xref>).</p>
</sec>
<sec id="s4-2">
<title>Family Factors and Vocabulary Growth in Lexical Categories</title>
<p>A family burden of late onset of speech predicted in boys a smaller growth in all lexical categories except for sound effects and animal sounds. This is in line with our hypothesis and with previous studies suggesting an effect of late onset of speech in the family. The result also supports the second hypothesis of different effects in boys and girls. The effect of a family history of late onset of speech and language problems on early language development has been reported in many previous studies (<xref ref-type="bibr" rid="B8">Bishop et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B35">Keegstra, 2007</xref>; <xref ref-type="bibr" rid="B81">Reilly et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B73">Zambrana et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B74">Zubrick, 2007</xref>). <xref ref-type="bibr" rid="B81">Reilly et&#x20;al. (2010)</xref> and <xref ref-type="bibr" rid="B8">Bishop et&#x20;al. (2012)</xref> reported that a family history of speech and language problems in children with late onset of speech at 18&#x2013;24&#xa0;months of age predicted more persisting language difficulties compared to children without this background. In the studies mentioned above, the focus has been more on the relation between a family history of late talking, reading, and writing difficulties and language impairment. However, in the present study, the parents only reported a late onset of speech of their own, in siblings, and/or in the near family. Language impairments or problems with reading and writing were not accounted for. A parental report of late onset of speech in the family, without information on diagnosed language problems, was enough to predict slower growth in lexical categories between 13 and 24&#xa0;months of age in boys. This confirms that already at this early age we can detect potential later language problems, which is of significance as it has been suggested that almost 50% of late talking children aged 2&#xa0;years still have poorer language skills at 10&#xa0;years of age (<xref ref-type="bibr" rid="B3">Armstrong et&#x20;al., 2017</xref>). The only lexical category not affected by a family burden of late onset of speech in the present study was that of sound effects and animal sounds. This category is often large in the beginning of vocabulary growth (the first five words) and contains sounds resembling word forms which later give way to more conventional words (<xref ref-type="bibr" rid="B15">Caselli et&#x20;al., 1995</xref>; <xref ref-type="bibr" rid="B58">Schults and Tulviste, 2016</xref>; <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al., 2007</xref>). A possible explanation as to why this category was not affected by a family burden of late onset of speech could be its role as a more transitional category in the lexical development. <xref ref-type="bibr" rid="B40">Laing (2014)</xref> suggests that these first sound-resembling words, called onomatopoeic words, serve as a bridge to more conventional words. In the present study, paternal late onset of speech affected boys but not girls. One reason for this could be that heritability for expressive vocabulary has been found to be more than two times higher in boys than in girls (<xref ref-type="bibr" rid="B68">Van Hulle, et&#x20;al., 2004</xref>).</p>
<p>In the present study, neither educational nor occupational status of the parents predicted lexical growth in boys or girls, which contradicted both of the hypotheses. The result was contrary to earlier studies by <xref ref-type="bibr" rid="B22">Fernald et&#x20;al. (2013)</xref>, <xref ref-type="bibr" rid="B25">Gilkerson et&#x20;al. (2018)</xref>, and <xref ref-type="bibr" rid="B28">Hart and Risley (1995)</xref>, but confirmed the studies by <xref ref-type="bibr" rid="B29">Henrichs et&#x20;al. (2011)</xref> and <xref ref-type="bibr" rid="B38">Kuvac&#x30c;-Kraljevic&#xb4; et&#x20;al. (2021)</xref>. The lack of effect of high education or occupational status on early vocabulary growth can reflect cultural differences in educational system and how this has been measured in different studies. The studies of <xref ref-type="bibr" rid="B22">Fernald et&#x20;al. (2013)</xref>, <xref ref-type="bibr" rid="B25">Gilkerson et&#x20;al. (2018)</xref>, and <xref ref-type="bibr" rid="B28">Hart and Risley (1995)</xref> were performed in English-speaking communities, while for example those of <xref ref-type="bibr" rid="B29">Henrichs et&#x20;al. (2011)</xref> and <xref ref-type="bibr" rid="B38">Kuvac&#x30c;-Kraljevic&#xb4; et&#x20;al. (2021)</xref> were conducted in European countries. However, <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al. (2018)</xref> found high education of Finnish fathers to be associated with expressive vocabulary size at 24&#xa0;months of age. In our study, over 60% of the participants&#x2019; (boys and girls) mothers had at least a lower university education, and at least 45% of the fathers. The occupational level was also high in mothers and fathers (over 60 and 55%, respectively). This should be taken into consideration when interpreting the results, as the large percentage of highly educated parents with advanced occupational status could have skewed the results. It is also possible that the effects of educational and occupational status would have come across through process variables, such as the habit of reading to the child, if they had been analyzed in this study. Vocabulary growth in lexical categories in both boys and girls were equally unaffected by the parents&#x2019; educational or occupational level. This contradicts the studies of <xref ref-type="bibr" rid="B4">Barbu et&#x20;al. (2015)</xref> and <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al. (2018)</xref>, where early language in boys was more affected by SES factors than in girls. The reason for this could be the high educational and occupational level of both parents and that the differences would be more obvious in low-SES families, as suggested by <xref ref-type="bibr" rid="B4">Barbu et&#x20;al. (2015)</xref>.</p>
</sec>
<sec id="s4-3">
<title>Child Factors and Vocabulary Growth in Lexical Categories</title>
<p>Being the firstborn predicted larger vocabulary growth in the lexical categories of descriptive and function words in girls, which was partly in line with our first hypothesis of the advantage of being firstborn, and in line with our hypothesis of different effects in boys and girls. There are indications that mothers generally talk more to their daughters than to their sons, even if both parents seem to talk somewhat more to their firstborn sons (<xref ref-type="bibr" rid="B24">Gilkerson and Richards, 2009</xref>). The vocabulary growth in boys was not affected by being firstborn or not. One explanation could be that boys lag behind girls in grammar development at this age and cannot take advantage of heard speech. Another explanation could be that even if firstborn boys hear more talk than those born later, the language addressed to them is more restricted than what girls hear (<xref ref-type="bibr" rid="B24">Gilkerson and Richards, 2009</xref>). Previous studies have suggested that firstborn children have an advantage over those born later (<xref ref-type="bibr" rid="B31">Hoff-Ginsberg, 1998</xref>; <xref ref-type="bibr" rid="B67">Urm and Tulviste, 2016</xref>). However, those studies focused on total vocabulary size, whereas in our study, only the growth in descriptive and function words was predicted by birth order. Descriptive and function words emerge more slowly and do not increase until the latter half of the second year, as the total vocabulary needed for developing grammar expands (<xref ref-type="bibr" rid="B5">Bates et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B15">Caselli et&#x20;al., 1995</xref>; <xref ref-type="bibr" rid="B48">Marchman and Bates, 1994</xref>; <xref ref-type="bibr" rid="B62">Stolt et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B70">Wehberg et&#x20;al., 2007</xref>). This was also found in our study, where descriptive and function words (time words, pronouns, questions, prepositions, and amount) were few at 13&#xa0;months of age in the girls&#x2019; vocabulary but had increased at 24&#xa0;months. The growth rate in the categories of descriptive and function words showed a substantial increase between 13 and 24&#xa0;months of age. As it has been suggested by <xref ref-type="bibr" rid="B31">Hoff-Ginsberg (1998)</xref> that both vocabulary and grammar development are more advanced in firstborn children, it could be that of the whole vocabulary, descriptive and function words are the grammar-building blocks that are most influenced by being born first. The language the mothers use with their firstborn children is, furthermore, more advanced, with longer sentences and fewer questions, than language used with those born later <xref ref-type="bibr" rid="B31">Hoff-Ginsberg (1998)</xref>, which could also explain the predictive function of being firstborn on the growth of descriptive and function&#x20;words.</p>
<p>Day care attendance at age 24&#xa0;months predicted vocabulary growth positively in the lexical category of sound effects in both boys and girls. However, only in girls did day care attendance predict vocabulary growth also in nouns, people words, and games and routine words. This was in line with our hypothesis of different effects in boys and girls. The results were not in line with our hypothesis that day care attendance does not predict vocabulary growth, and they contradict the results of <xref ref-type="bibr" rid="B14">Cadime et&#x20;al. (2018)</xref>, where no effects of time spent at day care were found in vocabulary size in any of the lexical categories at ages 16&#x2013;23 or 24&#x2013;30&#xa0;months in Portuguese children. <xref ref-type="bibr" rid="B14">Cadime et&#x20;al. (2018)</xref> used a broader distribution of lexical categories, with social terms (sound effects and animal sounds, people words, games and routines), nouns, predicates (verbs, descriptive words), and function words. In the present study, the growth of sound effects was greater in both boys and girls attending day care at 24&#xa0;months of age compared to children not attending. This is the lexical group of word forms resembling animal sounds, car sounds, etc., and which will for the most part develop into conventional words towards the end of the second year (<xref ref-type="bibr" rid="B15">Caselli et&#x20;al., 1995</xref>). One could argue that this is a category mostly used in play and group activities in day care, and that at home other categories are used more when talking to the child. This is, however, not applicable, because vocabulary growth in girls in day care at 24&#xa0;months was also found in the lexical categories of nouns, people words, and games and routines. The outcome furthermore somewhat contradicts the results of <xref ref-type="bibr" rid="B61">Stolarova et&#x20;al. (2016)</xref>, who found a larger vocabulary in German girls under 2&#xa0;years of age not attending day care outside the home. There is evidence that spending a great many hours in day care at a young age can negatively affect vocabulary size (<xref ref-type="bibr" rid="B67">Urm and Tulviste, 2016</xref>). As the vocabulary size of girls is more advanced than that of boys (<xref ref-type="bibr" rid="B1">Andersson et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B18">Eriksson et&#x20;al., 2012</xref>), one explanation could be that girls attending day care at 24&#xa0;months of age have a greater capacity than boys of the same age to take advantage of the language spoken in group situations. We could also assume that the speech children hear at home is more child-directed than at day care, where instructions are given to a group. There is in fact evidence that child-directed speech is associated with larger vocabulary size (<xref ref-type="bibr" rid="B28">Hart and Risley 1995</xref>; <xref ref-type="bibr" rid="B56">Rowe, 2008</xref>; <xref ref-type="bibr" rid="B72">Weisleder and Fernald, 2013</xref>), which could explain why attending day care only predicted the growth of sound effects in boys. Sound effects are usually onomatopoeic words which are possibly much used in play between young children and not so much in child-directed speech at home. Girls with a stronger vocabulary can presumably develop vocabulary also in day care settings without speech directed specifically at them. Among the girls there were also lexical categories that predicted no growth in day care attendance at 24&#xa0;months of age. The categories affected by day care were sound effects and animal sounds, nouns, people words, and games and routines, which were already more developed at 13&#xa0;months of age in the girls. All these categories, except for people words, belonged to the four largest developing categories between 13 and 24&#xa0;months of age. This could suggest that the focus and language used in day care at this early age is related more to the first developing categories of sounds, people, and play words and nouns than to action, descriptive, and function&#x20;words.</p>
<p>In the present study, the predictive value of day care attendance &#x201c;overrides&#x201d; the educational and occupational status of the parents in relation to early vocabulary growth. This is a surprising result. Day care in Finland falls under early childhood education and care legislation to secure lifelong learning, starting from day care. For each child attending day care, educational plans are created, including individual goals for the development of the child (<xref ref-type="bibr" rid="B52">Ministry of Education and Culture</xref>). Of the children in the present study, only 53% were in day care at 24&#xa0;months of age. It has been suggested in international studies that children of parents with a higher educational level attend fewer hours at day care at a younger age (<xref ref-type="bibr" rid="B67">Urm and Tulviste, 2016</xref>), but also that children attending day care in the first year of life have parents who are more highly educated (<xref ref-type="bibr" rid="B78">de Hoog et&#x20;al., 2014</xref>). As discussed above, it is possible that the effects of highly educated parents come across other variables such as day care attendance. Formal day care arrangements and the use of these services varies greatly in different countries. Only in Europe is there a large discrepancy in provision and use of formal day care services at the ages of 0&#x2013;2&#xa0;years, where 73% of Danish children attend day care compared to only 2% of Czech and Polish children (<xref ref-type="bibr" rid="B19">European Commission, 2009</xref>).</p>
<p>It can also be argued that cultural differences in environmental factors (such as day care arrangements, educational systems) influence and cause variations in the results of different studies. However, <xref ref-type="bibr" rid="B18">Eriksson et&#x20;al. (2012)</xref>, <xref ref-type="bibr" rid="B75">Bleses et&#x20;al. (2008)</xref>, <xref ref-type="bibr" rid="B15">Caselli et&#x20;al. (1995)</xref>, <xref ref-type="bibr" rid="B76">Braginsky et&#x20;al. (2019)</xref>, and <xref ref-type="bibr" rid="B38">Kuvac&#x30c;-Kraljevic&#xb4; et&#x20;al. (2021)</xref> demonstrate in their studies including language societies inside and outside Europe that cultural differences do not supersede the basic process in early vocabulary development.</p>
</sec>
<sec id="s4-4">
<title>Different Effects on Lexical Growth Between Boys and Girls</title>
<p>The results of the present study suggest that lexical growth is affected differently by child and family factors as a function of the child&#x2019;s sex. Various factors predicted the growth in lexical categories in boys and girls in diverging ways. As there were no significant differences between the background variables in boys and girls, the differences we found in lexical growth were analyzed as a function of the child&#x2019;s sex. These findings are in line with the hypothesis that there would be different effects of child and family factors on the development of lexical categories in boys and girls, and with previous studies by <xref ref-type="bibr" rid="B4">Barbu et&#x20;al. (2015)</xref> and <xref ref-type="bibr" rid="B41">Lankinen et&#x20;al. (2018)</xref> where sex differences in language development have been found to relate to family factors.</p>
<p>One explanation for the differences in how vocabulary development was predicted by background factors in boys and girls could be different susceptibilities in boys vs girls to the factors influencing early language development. It has been suggested in twin studies that early language development is influenced differently by biological and environmental factors (<xref ref-type="bibr" rid="B23">Galsworthy et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B68">Van Hulle, et&#x20;al., 2004</xref>). There is a possibility that when analyzing boys and girls together in relation to language development and the factors affecting it, factors that would enlighten the gender variations in early language development are overlooked. This variation as a function of the child&#x2019;s sex is important and needs to be studied more, as it brings new perspectives to early language development and is thus of significance in supporting early vocabulary development and children at&#x20;risk.</p>
</sec>
<sec id="s4-5">
<title>Strengths and Limits</title>
<p>A strength of the present study is the prospective longitudinal birth cohort design. Moreover, it presents new detailed information on the early vocabulary growth of lexical categories and how vocabulary growth is predicted by background factors as a function of the child&#x2019;s sex. However, there are some limitations that need to be considered when interpreting the results. The effect sizes were small, meaning that the studied factors explained only part of the vocabulary growth in lexical categories between the ages of 13 and 24&#xa0;months. This was true of both boys and girls. In the present study, vocabulary size at 13&#xa0;months of age was not considered in the factor analysis; it could have added the aspect of where in the vocabulary development the child was at the beginning of the growth period. For some children with a larger vocabulary size, the growth could have continued on the same trajectory. On the other hand, for a child with a larger vocabulary already at 13&#xa0;months, the growth may not have seemed as big as for a child with less vocabulary in the beginning. Another restriction was that the date of enrolment in day care was not asked for. This limited the interpretation of the effects concerning day care attendance, as we lacked detailed information on how long the child had attended day&#x20;care.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>The present study provides detailed information of vocabulary growth in lexical categories between the ages of 13 and 24&#xa0;months. It shows that in all the lexical categories, the growth in girls outpaced that in boys. Furthermore, our results suggest differences between vocabulary growth in boys and girls in relation to child and family factors. Boys with a family risk of late onset of speech had slower growth in all lexical categories except for sound effects and animal sounds. Being a girl and the firstborn enhanced vocabulary growth in the lexical classes of descriptive and function words. Day care attendance at 24&#xa0;months of age affected vocabulary growth positively in girls more than in boys. In boys, only the lexical category of sound effects was enhanced, whereas the categories of sound effects, nouns, people words, and games and routines grew larger in girls attending day care at age 24&#xa0;months compared to children staying at home. The present study emphasizes the need to be aware that not all factors influence early vocabulary development in the same way in boys and girls and suggests that studies of effects on early language development should consider examining vocabulary growth separately in boys and&#x20;girls.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The datasets presented in this article are not readily available because: The data has not been collected in the whole country, but in a part of Finland and includes sensitive information that could potentially identify participants. The Clinical Research Centre of the Hospital District of Southwest Finland has specified that legal and ethical restrictions prevent public sharing of deidentified individual participant data. Requests for data are handled by the directory board of the STEPS Study and can be sent to Hanna Lagstro&#xc3;&#x2c6;m (hanlag@utu.fi). Requests to access the datasets should be directed to; Hanna Lagstro&#xc3;&#x2c6;m (<email>hanna.lagstrom@utu.fi</email>).</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by The Finnish Ministry of Social Affairs and Health and the Ethics Committee of the Hospital District of Southwest Finland approved the STEPS Study in 2007. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of&#x20;kin.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>AN was responsible for writing the manuscript, reviewing the literature, and performing the initial analyses. PU was responsible for performing the SEM analysis and describing it in the manuscript. PK and PR were responsible in planning the study design and the questionnaires. PK was responsible for collecting the language data. PR was the main supervisor of the project, and PU, PK and PR revised the manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This research was supported in part by Kommunalr&#xe5;det C G Sundells stiftelse.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>The authors are grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole STEPS study&#x20;team.</p>
</ack>
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