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Front. Psychol. | doi: 10.3389/fpsyg.2018.00190

THE FACTOR STRUCTURE OF THE CA-MIR AS EVALUATED USING CONFIRMATORY FACTOR ANALYSIS

 Paola Molina1, Marta Casonato1,  Maria N. Sala1 and  Silvia Testa1*
  • 1Psychology, Università degli Studi di Torino, Italy

Introduction. The aim of the current study was to evaluate the factor structure of the CA-MIR (CArtes- Modèles Individuels de Relations), a self-report questionnaire designed to tap into the relational strategies of adults that was developed by a French-speaking research group coordinated by Blaise Pierrehumbert. The CA-MIR’s particular merit lies in the richness and complexity of the theoretical model underpinning it. However, to date, this model has only been partially reproduced in studies using exploratory analysis and has never been tested via confirmatory factor analysis (CFA).
Objective and Method. We thus conducted CFA on data collected from a sample of 979 subjects, recruited using a snowball sampling method during the spring and fall of 2005. To assess if some item multidimensionality was present, we estimated both the independent clusters model (ICM-CFA) and a model in which some zero loading restrictions were removed.
Results. The results supported the originally proposed structure of the CA-MIR; the large majority of items were good indicators of the expected latent dimensions and only few items showed relevant secondary loadings or loaded in an unexpected factor. The instrument adequately differentiates the three attachment styles, taking into account both past and present experiences of attachment relationships, and providing a rich and complex assessment of multiple features of attachment. In terms of internal consistency, alpha values were satisfactory and comparable to those found in the original Swiss validation study.
Conclusions. Our results are of key importance for both research and clinical work, given the lack of valid and easy-to-administer tools for evaluating adult attachment.

Keywords: Ca-Mir, adult attachment, questionnaire, self-report, factor structure, confirmatory factor analysis

Received: 08 Sep 2017; Accepted: 05 Feb 2018.

Edited by:

Pietro Cipresso, Istituto Auxologico Italiano (IRCCS), Italy

Reviewed by:

Donald Sharpe, University of Regina, Canada
Harsha Perera, University of Nevada, Las Vegas, United States  

Copyright: © 2018 Molina, Casonato, Sala and Testa. 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 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: Dr. Silvia Testa, Università degli Studi di Torino, Psychology, Via Verdi 10, Turin, 10124, Torino, Italy, silvia.testa@unito.it