Abstract
Number line estimation (i.e., indicating the position of a given number on a physical line) is a standard assessment of children's spatial representation of number magnitude. Importantly, there is an ongoing debate on the question in how far the bounded task version with start and endpoint given (e.g., 0 and 100) might induce specific estimation strategies and thus may not allow for unbiased inferences on the underlying representation. Recently, a new unbounded version of the task was suggested with only the start point and a unit fixed (e.g., the distance from 0 to 1). In adults this task provided a less biased index of the spatial representation of number magnitude. Yet, so far there are no children data available for the unbounded number line estimation task. Therefore, we conducted a cross-sectional study on primary school children performing both, the bounded and the unbounded version of the task. We observed clear evidence for systematic strategic influences (i.e., the consideration of reference points) in the bounded number line estimation task for children older than grade two whereas there were no such indications for the unbounded version for any one of the age groups. In summary, the current data corroborate the unbounded number line estimation task to be a valuable tool for assessing children's spatial representation of number magnitude in a systematic and unbiased manner. Yet, similar results for the bounded and the unbounded version of the task for first- and second-graders may indicate that both versions of the task might assess the same underlying representation for relatively younger children—at least in number ranges familiar to the children assessed. This is of particular importance for inferences about the nature and development of children's magnitude representation.
Introduction
The metaphor of a mental number line (Moyer and Landauer, ; Restle, ) describing the (spatial) representation of number magnitude is widely recognized (for overviews see Hubbard et al., ; De Hevia et al., ) and also considered in the currently most influential model in numerical cognition research [i.e., the Triple Code Model (Dehaene, ; Dehaene and Cohen, ; Dehaene et al., )]. Behavioral (e.g., Dehaene et al., ; Fischer, , ) as well as neuropsychological (e.g., Zorzi et al., ) data provide evidence for an automatic activation of number magnitude on an analogous left-to-right oriented number line in Western cultures (see Shaki et al., , for other cultures). Against this background, it is interesting to take a closer look at the development of the mental number line representation in children.
A standard task to make inferences about the development of the mental number line is the number line estimation task (e.g., Siegler and Opfer, ; Geary et al., ; Whyte and Bull, ; see also Petitto, ) also known as number-to-position task (e.g., Berteletti et al., ). In this task participants are required to estimate the spatial position of a given number on an empty number line with labeled endpoints defining the numerical range covered (e.g., 0–100; e.g., Siegler and Opfer, ). Usually, the deviance of the estimated position of a number from its correct position is interpreted to provide information about how the mapping of numbers to space and thus the mental number line representation develops. Generally, estimation performance is more error-prone in younger children as they tend to overestimate the position of relatively small numbers to the right (i.e., placing 9 at about the position of 40; Moeller et al., ). As a consequence, the positions of relatively large numbers are compressed toward the end of the scale which results in relatively high estimation errors (Siegler and Opfer, ; Booth and Siegler, ; Laski and Siegler, ). To account for this estimation pattern, Siegler and colleagues proposed children's estimations to represent a quite isomorphic reflection of a logarithmic underlying representation of number magnitude as the authors found a logarithmic function to fit the observed estimation pattern best. With increasing age and experience, however, the authors suppose children to develop a linear representation of number magnitude reflected by an estimation pattern fitted best by a linear function. This representational change, also referred to as log-to-linear shift, is interpreted to reflect the development toward a linear representation of number magnitude in older children and adults (Siegler and Opfer, ; Siegler and Booth, ; Booth and Siegler, , ).
However, the conclusion of such a representational shift as drawn by Siegler and colleagues is currently discussed controversially with respect to both theoretical but also methodological issues (e.g., Barth and Paladino, ; Barth et al., ; Moeller and Nuerk, ; Slusser et al., ; see also Ebersbach et al., for an overview). From a theoretical point of view, there are alternative accounts to explain the developmental changes in number line performance. A seemingly logarithmic response pattern may be accounted for by a two- or multi-linear fitting procedure, while a seemingly linear pattern may be accounted for by proportion judgment. As regards logarithmic fitting, Moeller et al. (; see also Helmreich et al., ) observed that a two-linear model suggesting separate but linear representations for one- and two-digit numbers predicts the estimation performance of first-graders in a 0–100 number line task even better than a logarithmic model. Theoretically speaking, the results of Moeller and colleagues do not indicate children's estimation pattern to directly reflect their spatial representation of number magnitude. Rather, they emphasize the importance of understanding the place-value structure of the Arabic number system: With increasing age and experience children master the integration of tens and units into the base-10 place-value structure of the Arabic number system and the separate representations are then integrated to result in a linear estimation pattern (Moeller et al., ; Helmreich et al., ; see also Ebersbach et al., , for a similar two-linear approach). Another argument challenging the hypothesis of a representational log-to-linear shift was suggested by Barth and Paladino () addressing seemingly linear fittings (see also Slusser et al., ). These authors suggested the standard number line estimation task to be more of a proportion judgment than a number magnitude estimation task. Barth and her colleagues argue that the to-be-estimated numbers are not considered in isolation but always in relation to reference points such as the start and endpoint of the given number line or its half. Their claim is methodologically corroborated by fitting results for power models usually used in proportion-judgment context (e.g., Spence, ) which provided the best fit for children's estimation performance: In contrast to a linear model which cannot account for systematic biases at reference points the authors found that either one- (considering start and endpoint as references; cf. Spence, ) or two-cycle power models (i.e., considering start and endpoint as well as their mean as reference points; cf. Hollands and Dyre, ) fitted 7-year-old children's estimation patterns on a 0–100 scale best (Barth and Paladino, ). From a theoretical point of view, Barth and colleagues suppose the standard (bounded) number line estimation task to reflect the application of proportion-judgment strategies rather than providing a direct measure of the spatial representation of number magnitude. This is corroborated by the finding that with increasing age more reference points are considered for estimation performance (Slusser et al., ).
The argument that the traditional number line estimation task induces strategies of proportion judgment was further corroborated by Cohen and Blanc-Goldhammer (). They observed smaller standard deviations of adults' estimations close to reference points but larger standard deviations between these points resulting in a characteristic M-shaped distribution. The validity of such a pattern to indicate the use of reference points was also corroborated when evaluating eye fixation data (see Schneider et al., , for children's eye fixation data; see also Sullivan et al., , for adult data).
Considering a recently introduced new version of the number line estimation task (see below for more details) one aim of the current study was to evaluate whether proportion-judgment strategies found in bounded number line estimation are a generalizable characteristic of number line estimation and how the application of this strategy is related to age.
Despite the debate on the nature of the numerical representations and processes underlying number line estimation performance there is accumulating evidence suggesting that number line estimation performance is not only systematically related to actual numerical performance but also predictive of future numerical development. For instance, the acuity of children's mental number line representation as assessed by the linearity of children's number line estimations was found to be positively correlated with other numerical competencies such as numerosity estimation or numerical magnitude comparison (Booth and Siegler, ; Laski and Siegler, ) but also more complex arithmetic indices such as actual addition performance (Booth and Siegler, ). In the same study, children's number line estimation performance was also a reliable predictor of the ability to learn new addition problems (Booth and Siegler, ; see also Gunderson et al., ; Muldoon et al., , for longitudinal evaluations of the relationship between number line estimation and children's mathematical development). Finally, there is now even first evidence from intervention studies suggesting a causal relationship between the acuity of the mental number line representation and more complex numerical/arithmetic abilities. For instance, Siegler and Ramani (; see also Ramani and Siegler, ) observed that playing simple linear number board games not only improved children's number line estimation performance significantly but also that this training effect generalized to their arithmetic competency (see also Fischer et al., , for the validity of embodied experiences of spatial number magnitude; Kucian et al., , for similar evidence in children with dyscalculia).
Taken together, it can be noted that number line estimation performance is a reliable predictor of actual and future numerical competencies even though it is still under debate what exactly is assessed by the number line estimation task in its standard bounded version with given start- and endpoint.
Cohen and Blanc-Goldhammer (; see also Booth and Siegler, for a somewhat similar task) proposed a new unbounded version of the number line estimation task without a predefined fixed endpoint. Instead, a unit (i.e., the distance between 0 and 1) is given together with a start point allowing for the estimation of the spatial position of a presented target number on a number line. Importantly, evaluation of participants' estimation pattern corroborated their hypothesis that this task version provided a less biased measure of the mental number line representation: There were no indications of systematic biases reflecting the use of reference points. Moreover, variability of participants' estimation errors increased continuously with number magnitude. This is in line with the assumption of a linear mental number line representation with scalar variance (Gibbon, ; Gibbon and Church, ; Whalen et al., ). This scalar variance hypothesis suggests that the spacing between adjacent numbers on the mental number line is equidistant while representational uncertainty increases with the magnitude of the numbers. Against this background, the authors concluded that the unbounded number line estimation task seems to provide a more pure measure of the underlying mental number line representation as compared to the traditional bounded version of the task.
The only published data on the unbounded number line estimation task are from adult participants, however, number line estimation tasks are used much more prominently in the assessment of children's mental number line representation. Therefore, the objectives of the current study were straightforward.
We wished to evaluate how far the results of Cohen and Blanc-Goldhammer () generalize to children's estimation performance. Therefore, we recruited a broad sample of primary school children from grade one through four as well as a sample of adult controls to perform both tasks, the new unbounded and the standard bounded version of the number line estimation task. Because there are no data available on children performing the unbounded number line estimation task, hypotheses were derived from recent data for the bounded number line estimation task. Slusser et al. () observed children at the age of 7–8 to make use of 2 or 3 reference points (start-, end- and midpoint) to increase their estimation accuracy. In contrast, for younger children's estimation patterns indications for such a proportion-judgment strategy were less obvious. For five-year-olds the authors even suggested that children might have ignored the endpoint of the scale treating the task as an ‘open-ended magnitude judgment’ (Slusser et al., , p. 203) comparable to an unbounded version of the number line estimation task. Furthermore, in an eye-tracking study Schneider et al. () corroborated the assumption of qualitative differences between estimation strategies between relatively younger and older children. In particular, they observed that third-graders targeted their eye fixations more directly toward to-be-expected reference points (i.e., start, middle, and endpoint of the number line) than did younger children. Against this background, we expected a change in estimation strategies in the bounded number line task to occur from grade three at the latest with more pronounced indications for the use of reference points for older children. In contrast, based on the results for the unbounded number line estimation task in adults (Cohen and Blanc-Goldhammer, ) indicating a less biased measure of number line estimation no such qualitative change of estimation strategy was expected for the unbounded number line estimation task.
To pursue these hypotheses we evaluated two different aspects of our participants' estimation performance in accordance with the proceeding of Cohen and Blanc-Goldhammer (). First, we appraised participants' estimation patterns by fitting different kinds of models. Additionally, we considered the distribution of participants' estimation errors. Taken together, these two aspects should answer the questions whether there are qualitative differences in solution strategies (number line estimation vs. proportion judgment) between (i) the bounded and the unbounded version of the number line estimation task in children and (ii) at what age such differences emerge.
Methods
Participants
A cross-sectional sample of 233 primary school children [65 first-graders (31 girls; mean age: 6;7 years, SD = 3.90 months), 61 second-graders (32 girls; mean age: 7;7 years, SD = 5.58 months), 59 third-graders (23 girls; mean age: 8;8 years, SD = 6.35 months) and 48 fourth-graders (27 girls; 9;8 years, SD = 5.91 months)] was assessed on a battery of basic numerical tasks including number line estimation to investigate the development of numerical competencies. Children were tested three months after class started. All children participated voluntarily and were included in the sample only after their parents provided a signed informed consent form. In addition, a control sample of 68 university students (56 females; mean age: 23;5 years, SD = 4;8 years) volunteered to perform the number line tasks.
Stimuli
For the different age groups we used different number scales covering the ranges that are taught in the respective grades and can thus be considered more or less familiar to the children tested, this means that children should possibly be able to infer the midpoint of the respective range (first-graders: 0–10; second-graders: 0–20; third-graders: 0–100; fourth-graders: 0–1000; adults: 0–10,000). At all age groups 20 stimuli for the bounded number line task were chosen to allow for reliable identification of possible proportion-judgment strategies, resulting in more items at the suggested reference points (cf. Barth et al., ). A total of four items was displayed on one DIN A4 sheet with the start-point of the number lines being varied horizontally to prevent participants from relying on estimates of previous trials as possible anchor points. All number lines were 20 cm long with labeled endpoints below and the to-be-estimated number placed above the middle of the number line (see Figure 1 for a schematic illustration). In all number ranges two practice items (exception: number range 0–10 with only one practice item) ensured participants understanding of the task and were shown on the first page prior to the critical trials. Different from the bounded number line estimation task we did not change the range covered by the unbounded number line task for the different age groups. The same physical length of 20 cm was used for the unbounded and the bounded task to enhance comparability between task versions. The unit indicating the distance between 0 and 1 was depicted below the start-point. The to-be-estimated numbers were presented above the start point (see Figure 1 for a schematic illustration). The numerical length of the unbounded number line was 29. Only items in the range from 0 to 20 were used to assess unbounded number line performance, leaving enough space between the largest numbers and the physical endpoint. A total of 15 items were presented as numbers 0, 1, 5, 11, and 20 were excluded and 10 served as practice item. Again, four items were presented on one DIN A4 sheet arranged in the same way as the bounded task items.
Figure 1
Procedure
All tasks were administered in group settings. For the bounded number line task, children received the oral instruction that they are presented with a special number line which only has a start- and endpoint but no further numbers in between. Then the task was explained (in German) as follows: “Look at the number printed above the number line—where do you think this number goes between 0 and X. Please mark your estimate on the line.” Importantly, no numbers apart from the start and the endpoint were indicated. In the unbounded task, the instruction was similar: Children were told that there is no end to the number line but that they can see how long the distance from 0 to 1 is. Further instructions were adapted to the task: “Look at the number printed above the number line—where do you think this number goes?” Again, no other numbers were indicated to participants. Adults were provided with written instructions. Neither age group received feedback as to the correctness of any of the items. Task order was the same for all age groups: participants started with the bounded followed by the unbounded number line estimation task.
Analyses
As variables of interest we evaluated children's mean estimates (indicating their estimation performance) as well as the standard deviation of children's percent absolute error (PAE = |Estimate − Target number|/ Scale *100; cf. Siegler and Booth, , reflecting the variability of their estimates). In line with the procedure of Ashcraft and Moore () we ran a contour analysis contrasting the variability of children's estimation errors at and in between possible reference points (using t-tests) for both the bounded and unbounded estimation task separated for each age group. Therefore, standard deviations of the PAEs of the two target numbers closest to the origin, the first quartile, the midpoint, the third quartile and the endpoint, were pooled. In case target number and reference point were identical (e.g., item 15 in the unbounded task conforms to the third quartile) the item itself plus the two closest target numbers were considered. For first-graders' on the 0–10 bounded number line task only one item was considered for the origin and endpoint, respectively, as there were only 8 target numbers.
In addition, we evaluated the goodness of fit of several models used in previous studies to mathematically reflect children's estimation performance (e.g., linear, power models, etc.). To fit models Matlab 7.14 was used applying the trust region algorithm for the fitting of non-linear models. For both number line tasks we estimated the fit of the same models thereby differentiating grossly between three families of functions corresponding to different estimation strategies: (i) direct estimation strategies should be indicated by the superior fit of the linear and (unbounded) power function (cf., Slusser et al., ), (ii) proportion-judgment based estimation strategies should be indexed by one- and two-cycle power models (cf. Barth et al., ), and (iii) dead-reckoning strategies should be reflected by dual and multi scallop models (for scallop models see Cohen and Blanc-Goldhammer, ).
Linear models were fitted with two free parameters (i.e., the intercept and the slope). The unbounded power model had one free parameter (i.e., the exponent) while dual scallop and multi scallop models were fitted with two free parameters (i.e., the exponent and the size of the working window). The linear and the unbounded model allow for identifying direct estimation strategies, with no application of an additional strategy like dead-reckoning or proportion judgment. In contrast, cyclic power models suggest that participants use at least two references point (start and end point for the one-cycle model whereas the two-cycle model indicates the use of an additional central reference point). Cyclic models were fitted with one free parameter (i.e., the exponent determining the shape of the power function). Dual and multi scallop models are well suited to find out whether participants applied a dead-reckoning strategy. Thereby, participants first estimate a particular working window of numbers (e.g., 5) and then use multiplies of this working window to estimate the position of higher numbers. The dual scallop model allows for identifying participants, who applied the working window twice and the multi scallop model participants, who repeated their working window multiple times. As identification of such dead-reckoning strategies was not at the heart of this study, we summarized results of the respective models in the category of “others.”
However, different from testing the scallop models in the bounded condition applying cyclic power models in the unbounded task is not as straightforward as it seems to be at first glance. Importantly, cyclic power models require definition of an upper bound, which can be easily specified in a bounded number line task. However, for the unbounded number line task such an upper bound does not exist per se. Theoretically, participants might have used the end of the physical line as an upper bound or the largest number which they had to estimate. Since these strategies might vary between participants, a fixed upper bound for testing cyclic models in the unbounded task cannot be used. Therefore, this upper bound has to be estimated by the fitting procedure (cf. Barth et al., ). The range of the parameter accounting for the upper bound was allowed to vary between 19 and 29, corresponding to the largest target number (19) and the numerical end of the line (29).
Models were compared by calculating AICc (Akaike information criterion with a correction for finite sample sizes) values for each participant (e.g., Burnham et al., ; see also Cohen and Blanc-Goldhammer, , for a similar procedure). Lower AICc values were then interpreted as superior fit of either model1.
Results
In total, 61 participants (18 first-graders, 18 second-graders, five third-graders, five fourth-graders and 15 adults) were excluded from final analyses as they had missing data on at least three items within one of the tasks and/or showed an estimation pattern indicating insufficient understanding of the task (e.g., marking the middle of the number line for all trials). Furthermore, individual estimates that differed more than ± 3 SD from the age groups' mean estimate were also excluded. It is important to note that this trimming procedure did not change results substantially.
Estimation patterns and model fittings
Mean estimates were calculated separately for all age groups and plotted as a function of target number to look for obvious indications of the use of reference points (see Figure 2). We found that for all age groups mean estimates increased steadily with increasing size of the target number independently of task version. Only first graders' bounded number line estimates obviously differed in distribution from older children's and adults' bounded estimates (see Figure 2A, left column). In general, first graders seemed to underestimate larger numbers as they did not produce estimates larger than about 6 on the 0–10 bounded number scale.
Figure 2
For the unbounded number line task the distributions of estimates look very similar for the different age groups (see Figures 2A–E, right column). It is notable, that first-graders and adults overestimated numbers toward the end of the scale (i.e., numbers close to 20; see Figure 2A, right column), seemingly they often tended to locate larger numbers toward the end of the physical line (which was at 29).
Because plotting estimates as a function of target number only allows for visual inspection to conclude whether children did or did not use proportion-based estimation strategies, we fitted estimates with different types of models. Table 1 depicts frequencies of best fitting models for the different age groups separated for both, task and strategy applied (parentheses show relative frequencies).
Table 1
| Estimation strategies | Model fittings | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Direct | Proportional | other | Linear | Unbounded power | Dual scallop | Multi scallop | One- cycle | Two- cycle | |
| BOUNDED TASK | |||||||||
| 1st grade | 40 (85) | 7 (15) | 0 | 30 (64) | 10 (21) | 0 | 0 | 4 (9) | 3 (6) |
| 2nd grade | 32 (74) | 9 (21) | 2 (5) | 22 (51) | 10 (23) | 1 (2) | 1 (2) | 5 (12) | 4 (9) |
| 3rd grade | 17 (31) | 37 (69) | 0 | 4 (7) | 13 (24) | 0 | 0 | 25 (46) | 12 (22) |
| 4th grade | 15 (35) | 28 (65) | 0 | 5 (12) | 10 (23) | 0 | 0 | 8 (19) | 20 (47) |
| Adults | 37 (70) | 16 (30) | 0 | 12 (23) | 25 (47) | 0 | 0 | 7 (13) | 9 (17) |
| UNBOUNDED TASK | |||||||||
| 1st grade | 40 (85) | 4 (9) | 3 (6) | 15 (32) | 25 (53) | 2 (4) | 1 (2) | 4 (9) | 0 |
| 2nd grade | 39 (91) | 4 (9) | 0 | 17 (40) | 22 (51) | 0 | 0 | 3 (7) | 1 (2) |
| 3rd grade | 50 (93) | 0 | 4 (7) | 12 (22) | 38 (70) | 2 (4) | 2 (4) | 0 | 0 |
| 4th grade | 39 (91) | 2 (5) | 2 (5) | 10 (23) | 29 (67) | 1 (2) | 1 (2) | 2 (5) | 0 |
| Adults | 45 (85) | 2 (4) | 6 (11) | 16 (30) | 29 (55) | 2 (4) | 4 (8) | 2 (4) | 0 |
Absolute and relative frequency (percentages) of best fitting models indicating direct estimation, proportion judgments or other estimation strategies (left column) and detailed distribution of best fitting model of participants' estimates (right column) separated for bounded and unbounded number line tasks and age groups.
The best fitting models are indicated in bold script.
First- and second graders seemed to use a direct estimation strategy solving the bounded number line estimation task as the linear model provided the best fit (for 64% of the first- and 51% of the second-graders). Interestingly, this pattern changed for third- and fourth-graders: Only 31% of the third-graders' and 35% of the fourth-graders' estimates were accounted for best by models indicating direct estimation strategies (i.e., linear and unbounded power models). Instead, one- or two-cycle models provided a better fit, clearly indicating the use of reference points and thus proportion-judgment strategies (Barth and Paladino, ). In detail, 68% of third-graders' estimates were fitted best by cyclic power models: 46% by one-cycle and 22% by two-cycle models. Thus, most third-graders seemed to consider two reference points (i.e., start- and endpoint). Moreover, 66% of fourth-graders' estimates were also accounted for best by cyclic power models. The high percentage for two-cycle models (47%) indicated the prominent use of three reference points.
Unexpectedly, a direct estimation strategy was also observed for the majority of adult's estimates (70%) as the single scallop model provided the best fit for 47% of participants' estimates. At first glance, this result pattern seems to contradict our hypothesis and also previous results of Cohen and Blanc-Goldhammer (). However, a closer look at the estimation pattern clarified this: as adults show estimation patterns with very small PAEs all model fittings were more or less identical as indicated by the respective adjusted R2 (linear model: mean adj.R2 = 0.985, unbounded power model: mean adj.R2 = 0.984, dual scallop model: mean adj.R2 = 0.983, multi scallop model: mean adj.R2 = 0.983, one-cycle model: mean adj.R2 = 0.981, two-cycle model: mean adj.R2 = 0.981). Thus, as power models with an exponent of 1 are basically similar to a linear function without an intercept, selection of best fitting model does not provide sufficient evidence to reliably differentiate between estimation strategies. Yet, a closer inspection of (adults') estimation errors is informative (see below).
Regarding model fittings for estimates in the unbounded version, results are more consistent: Independent of age group, the majority of participants was always classified to use direct estimation strategies as an unbounded power model provided the best fit for their estimates. According to Cohen and Blanc-Goldhammer (), this model indicates that participants directly estimated targets' locations (see also Slusser et al., ). Dual and multi scallop models fitted best for only a few participants' estimates, most frequently adults, as did cyclic models. Taken together, these data do not corroborate the notion of a prominent use of specific strategies such as proportion-judgment or dead-reckoning in unbounded number line estimation.
PAE distribution
On the panels of Figures 3 and 4, we plotted the mean standard deviations of PAE as a function of target number (see left column) and the standard deviations of PAEs at targets close to specific reference points (i.e., origin, midpoint, and endpoint) and in between reference points (first quartile, third quartile) to be compared in a contour analysis (right column; cf. Ashcraft and Moore, ).
Figure 3
Figure 4

Standard deviations of percent absolute errors (PAE) for unbounded number line estimation performance. The left column depicts the relationship between standard deviations of PAEs and target numbers whereas the right column depicts results of counter analyses summarizing standard deviations of PAEs at specific reference points (cf. Ashcraft and Moore,
Even from visual inspection of bounded number line estimation performance, it is obvious that between grades two and three (Figures 3B,C) a change in children's estimation strategies seems to occur. First- and second-graders' PAE variability increased significantly with increasing target numbers as indicated by both, the more detailed distribution of PAE variability (Figures 3A,B, left column) as well as the contour analyses (Figures 3A,B, right column). Correlating SD of PAE and size of target number revealed significant correlations of r = 0.99 (p < 0.01) for both age groups. In contrast, children from grade three on showed M-shaped patterns of PAE distribution and no significant correlation between SD of PAE and size of target number (all r < 0.32, all p > 0.18). This means that children's estimations varied less at and around the to-be-expected reference points (i.e., start and endpoint as well as the midpoint of the scale) whereas PAE variability was reliably larger in between these reference points. Additionally, the same patterns were also present for fourth-graders and adults, especially when taking a closer look at the distribution of PAE variability plotted as target function (see Figures 3C–E, left column). Importantly, these (indicated) M-shaped patterns of error distribution are characteristic for proportion-judgment strategies (cf. Cohen and Blanc-Goldhammer,
In contrast to this, for the unbounded number line task similar PAE distributions were observed across all age groups: PAE variability increased monotonously with target number (see Figures 4A–E) resulting in significant correlations between SD of PAE and size of target number for all age groups (from r = 0.62 to r = 0.99, all p < 0.05). This pattern of linearly increasing error variability was most prevalent for second-, third-, and fourth graders. However, for first-graders we observed PAE variability to decrease toward the end of the scale (see Figure 4A) while PAE variability remained constant for adults' estimates of larger target numbers (see Figure 4E). This pattern was due to the fact that first-graders and adults placed larger numbers toward the end of the physical line, thereby increasing PAEs but reducing their variability or holding it constant, respectively. Importantly, the t-tests statistically evaluating the contour analysis did not reveal any significant differences in PAE variability at/around reference points compared to PAE variability in between these reference points (all t < 0.50, all p > 0.63).
Discussion
The current study set off to investigate the development of children's spatial representation of number magnitude by comparing their estimation performance in both a standard bounded as well as a new unbounded version of the number line estimation task. Such a direct contrast of the two versions of the task for children is of particular interest as a recent study with adult participants (Cohen and Blanc-Goldhammer,
In the following, we will first discuss the differential development in the bounded and unbounded version of the number line estimation task before elaborating on the broader implication for research on children's numerical development.
Differential development of number line estimations in bounded vs. unbounded number line tasks
First- and second-graders' bounded and unbounded number line estimations indicated no substantial differences between the estimation patterns and error distributions for the two versions of the number line estimation task in our study. This corroborates our hypothesis that indices for the use of proportion-judgment strategies (considering at least two reference points) may only occur after a certain level of proficiency has been reached (see also Slusser et al.,
Apart from this general pattern there was an interesting finding for the first-graders in our sample. We observed that first-graders overestimated positions of large numbers in the unbounded number line task. This means that they placed numbers close to 20 (which was the maximum of the number range assessed) even beyond than necessary (i.e., further to the right, see Figure 2, Panel A). Because we also observed a decrease of the variation of the estimation errors toward the end of the scale, this probably indicates that first-graders used the length of the physical line as any kind of orientation. However, because there was no numerical endpoint indicated and there is evidence that relatively younger children tend to even ignore the upper bound when given (at least they do not seem to use it systematically as a reference point, Slusser et al.,
In contrast to first- and second-graders and in line with previous studies investigating bounded number line estimation (e.g., Slusser et al.,
A similar pattern was observed when looking at adults' estimation performance. Although model fittings indicated adults to use direct estimation strategies a closer inspection of PAE variability was also informative. The M-shaped distribution of PAE variability clearly indicated the use of proportion-judgment strategies. Synced with the fact that model fittings can hardly differentiate between very accurate and basically linear estimation patterns the fitting results for adult participants should be considered only cautiously. In contrast, adults' estimates on the unbounded number line revealed no indication for the systematic use of proportion-judgment strategies. However, different from second- to fourth-graders and comparable to first-graders, adults seemed to use the end of the number line as some kind of endpoint. Not only did adults overestimate numbers close to the largest target number assessed but their PAE variability remained constant for these target numbers as well. This result pattern, however, is in line with previous findings of Cohen and Blanc-Goldhammer (
Taken together and in line with previous studies (cf. Cohen and Blanc-Goldhammer,
Implications for research on numerical development
Estimation performance in the bounded number line task is closely related to other numerical concepts, to some extent even causally (e.g., Booth and Siegler,
Limitations and perspectives
Although it was not at the heart of the current study to compare the two versions of number line estimation tasks with respect to task difficulty, we wish to elaborate on potential concerns about the different number ranges assessed being responsible for the application of different strategies. The choice of different number ranges for the bounded task was based on the results of previous studies (cf. Slusser et al.,
Table 2
| Age group | Bounded task | Unbounded task | ||||
|---|---|---|---|---|---|---|
| M | SD | Range | M | SD | Range | |
| First grade | 22.8 | 11.6 | 0–10 | 15.0 | 7.6 | 0–20 |
| Second grade | 14.7 | 9.2 | 0–20 | 10.7 | 4.4 | 0–20 |
| Third grade | 6.4 | 2.8 | 0–100 | 13.8 | 6.6 | 0–20 |
| Fourth grade | 6.0 | 2.1 | 0–1000 | 11.9 | 6.1 | 0–20 |
| Adults | 3.3 | 1.1 | 0–10,000 | 10.0 | 5.7 | 0–20 |
Mean PAE's (percent absolute error) and SD of PAEs for the range of the respective number line task separated for the different age groups.
An additional argument corroborating this interpretation comes from the development of PAEs. Comparing mean PAEs within bounded number line estimation, an ANOVA revealed a main effect of age group [F(4, 239) = 68.75, p < 0.01]. Post-hoc pairwise comparisons showed significant differences between mean PAEs of first-graders and second-graders with all other age groups (all p < 0.01). Third- and fourth-grader's as well as adult's mean PAEs for the bounded task did not differ significantly. For mean PAEs for unbounded estimation an ANOVA revealed a main effect of age group [F(4, 239) = 5.54, p < 0.01]. Post-hoc tests indicated significantly higher PAEs for first-graders compared to second-graders and adults (p < 0.05, p < 0.01, respectively). Additionally, third-graders were indexed to differ significantly from adults regarding their mean PAE (p < 0.05). So, constant PAEs for third-, fourth-graders and adults in the bounded number line task indicate that the difficulty of the respective range assessed was approximately the same for the different age groups. Since differences in estimation errors of unbounded number line performance reveal no systematic pattern (see Table 2, notification) there are no obvious indications for strategy application.
However, besides these issues regarding the ranges used in bounded number line estimation other theoretical as well as methodological aspects which we did not control for explicitly might also play a role in number line estimation performance. For example, differences in the visual appearance of the tasks, or the missing second landmark in the unbounded task, in particular, might involve different processes of spatial recall. For instance it is interesting to note that Huttenlocher et al. (
In sum, this correspondence asks for further studies to disentangle how number line estimation is influenced by both general influences of spatial cognition and the particular spatial attributes of task presentation such as item placement or task instruction (cf. Barth and Paladino,
Conclusions
In the current study we directly compared children's estimations in the standard bounded as well as a new unbounded version of the number line estimation task. In line with recent research we found reliable evidence for the use of proportion-judgment strategies in bounded number line estimation for relatively older children (third- and fourth-graders) and adults adding to evidence suggesting that estimations in the bounded number line task are not reflecting an isomorphic measure of the mental number line of relatively older children and adults.
In contrast, there were no indications for the use of any strategies other than direct number line estimation for the unbounded number line estimation task which, thus, may be a valuable tool for assessing the spatial magnitude representation in a more unbiased way, at least for older children and adults. The fact that we did observe similar results for the bounded and the unbounded version of the task for first- and second-graders may indicate that both versions of the task might assess the same underlying representation for relatively younger children at least in number ranges familiar to the children assessed.
Taken together, the bounded and the unbounded number line estimation task seem to assess different representations and processes, although aiming to assess the same underlying spatial representation of number magnitude. Importantly, this has implications on a broader level. As estimation performance in the bounded number line task is not only correlated with but even causally related to other numerical and arithmetic competencies, future research is necessary to investigate whether it is indeed the spatial representation of number magnitude (assessed by the bounded number line task) or rather the concomitantly assessed proportion understanding which predicts future numerical competencies and achievement.
Conflict of interest statement
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.
Statements
Acknowledgments
Tanja Link, Korbinian Moeller and Hans-Christoph Nuerk are members of the “Cooperative Research Training Group” of the University of Education, Ludwigsburg, and the University of Tuebingen, which is supported by the Ministry of Science, Research and the Arts in Baden-Württemberg. Korbinian Moeller and Hans-Christoph Nuerk are associated with the LEAD—Learning, Educational Achievement, and Life Course Development Graduate School which is supported by the German Research Foundation. We acknowledge support by Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of Tuebingen University. We are grateful to the teachers of the Steinbachschule Büsnau for their cooperation and all pupils and their parents for participation. Furthermore we would like to thank Regina Reinert, Samantha Speidel, Christina Woitschek, and Alexander Schneidt for their help in data acquisition.
Conflict of interest
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.
Footnotes
1.^Please note that we previously advocated bi-linear or multi-linear fittings of children's number line estimations whereas we fitted one-cycle and two-cycle models (cf. Barth and Paladino,
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Summary
Keywords
mental number line, number line estimation, estimation strategies, proportion judgment, numerical development
Citation
Link T, Huber S, Nuerk H-C and Moeller K (2014) Unbounding the mental number line—new evidence on children's spatial representation of numbers. Front. Psychol. 4:1021. doi: 10.3389/fpsyg.2013.01021
Received
10 May 2013
Accepted
27 December 2013
Published
22 January 2014
Volume
4 - 2013
Edited by
Klaus F. Willmes, RWTH Aachen University, Germany
Reviewed by
Vanessa R. Simmering, University of Wisconsin Madison, USA; Lieven Verschaffel, University of Leuven, Belgium
Copyright
© 2014 Link, Huber, Nuerk and Moeller.
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) or licensor 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 terms.
*Correspondence: Tanja Link, Department of Psychology, Eberhard Karls University, Schleichstraße 4, 72076 Tuebingen, Germany e-mail: tanja.link@uni-tuebingen.de
This article was submitted to Developmental Psychology, a section of the journal Frontiers in Psychology.
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