Journals / Bartın Üniversitesi Eğitim Fakültesi Dergisi / 2023 / Cilt: 12 Sayı: 3

Alternative Confirmatory Factor Analytic Models for Examining Preservice Teachers' Non-Cognitive Skills

Pages
460–470
Publication Date
2023-07-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results indicate that the higher-order factor model for emotional awareness (n = 670) and the bifactor model for personality traits (n = 670) were the preferred models that better represent the underlying factor structures.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study provides a comparative analysis of the inferences that can be reached about preservice teachers' emotional awareness and personality traits when several alternative factor analytic models are tested simultaneously.
📊
Key Findings & Data:Results indicate that the higher-order factor model for emotional awareness (n = 670) and the bifactor model for personality traits (n = 670) were the preferred models that better represent the underlying factor structures.
💡
Conclusion & Impact:Multidimensionality and practical decisions concerning score reporting are discussed.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:non-cognitive skills · teacher training · factor analytic models

Abstract

This study provides a comparative analysis of the inferences that can be reached about preservice teachers' emotional awareness and personality traits when several alternative factor analytic models are tested simultaneously. An empirical illustration is provided using two datasets collected for a research study aiming to profile the social-emotional behavior repertoire of preservice teachers. Four alternative factor analytic models were considered for both datasets: the unidimensional model, the correlated model, the higher- (or second-) order model, and the bifactor model. Results indicate that the higher-order factor model for emotional awareness (n = 670) and the bifactor model for personality traits (n = 670) were the preferred models that better represent the underlying factor structures. Multidimensionality and practical decisions concerning score reporting are discussed.

🔖

Cite This Article

KAHRAMAN, N., BOZ, E. S., AKBAŞ, D., ÇORBACI, E. C., IŞIK, Ş., ATALAY, N. Ü., AYDIN, F. N., ÇAKAN, M., SAĞIROĞLU, Ş. (2023). Alternative Confirmatory Factor Analytic Models for Examining Preservice Teachers' Non-Cognitive Skills. Bartın Üniversitesi Eğitim Fakültesi Dergisi, Cilt: 12 Sayı: 3, 460–470. https://ajindex.com/articles/953692

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford. Brunner, M., Nagy, G., & Wilhelm, O. (2012). A tutorial on hierarchically structured constructs. Journal of Personality, 80, 796-846. https://doi.org/10.1111/j.1467-6494.2011.00749.x
  2. Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105. https://doi.org/10.1037/h0046016
  3. Chen, F. F., West, S. G., & Sousa, K. H. (2006). A comparison of Bifactor and Second-order models of quality of life. Multivariate Behavioral Research, 41(2), 189-225. https://doi.org/10.1207/s15327906mbr4102_5
  4. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334. https://doi.org/10.1007/BF02310555
  5. Dunn, K. J., & McCary, G. (2020). The place of the bifactor model in confirmatory factor analysis investigations into construct dimensionality in Language Testing. Front. Psychol., 1357. https://doi.org/10.3389/fpsyg.2020.01357
  6. Eid, M., & Diener, E. (2006). Introduction: The need for multimethod measurement in psychology. In M. E. Diener, Handbook of multimethod measurement in psychology (pp. 3-9). American Psychological Association. Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Lawrence Erlbaum Associates. Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4(1), 26-42. https://doi.org/10.1037/1040-3590.4.1.26
  7. Gustafsson, J. E., & Åberg-Bengtsson, L. (2010). Unidimensionality and the interpretability of psychological instruments. In S. Embretson, Measuring psychological constructs: Advances in model-based approaches (pp. 97-121). American Psychological Association. https://doi.org/10.1037/12074-005
  8. Holzinger, K. J., & Swineford, F. (1937). The bi-factor method. Psychometrika, 2, 41-54. https://doi.org/10.1007/BF02287965
  9. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
  10. Inceman-Kara, F., & Yuksel, G. (2022). Focusing on Adolescents' Emotional Awareness: Instrument Validation and Evaluation of a Training Program. Participatory Educational Research, 9(4), 289-306. http://dx.doi.org/10.17275/per.22.91.9.4
  11. Jennings, P. A., & Greenberg, M. T. (2009). The prosocial classroom: Teacher social and emo