Examining the Invariance of a Measurement Model by Using the Covariance Structure Approach
Abstract
The primary aim of the present study is to examine the measurement invariance of the structural equating model constructed on the numerical and verbal abilities test for sixth grade students across gender, amount of weekly pocket money and students’ perceptions of the sufficiency of their pocket money. The secondary aim is to illustrate the use of the IBM AMOS-24 software package step by step with examples to address invariance using the covariance structural analysis approach. The research data were collected from 2304 sixth grade students enrolled in public schools within the Keçiören and Pursaklar suburbs in Ankara. The covariance structures analysis approach was employed during the examination of the measurement model invariance. The study revealed that invariance was achieved in terms of configural, measurement (in both measurement weights and measurement residuals) and structural invariance with respect to all subgroups.
Keywords
References
- Arana, F. G., Rice, K. G., & Ashby, J. S. (2018). Perfectionism in Argentina and the United States: Measurement structure, invariance, and implications for depression. Journal of Personality Assessment, 100(2), 219-230. https://doi.org/10.1080/00223891.2017.1296845
- Atkinson, R., Atkinson, R., & Hilgard, E. (1995). Psikolojiye giriş II [Introduction to Psychology II]. İstanbul: Sosyal.
- Bailey, S. K., Neigel, A. R., Dhanani, L. Y., & Sims, V. K. (2018). Establishing measurement equivalence across computer-and paper-based tests of spatial cognition. Human factors, 60(3), 340-350.https://doi.org/10.1177/0018720817747731
- Başusta, N. B., & Gelbal, S. (2015). Gruplararası karşılaştırmalarda ölçme değişmezliğinin test edilmesi: PISA öğrenci anketi örneği [Testing measurement invariance in intergroup comparisons: PISA student survey sample]. Hacettepe University Journal of Education, 30(4), 80-90.
- Benson, N. (2008). Cattell-Horn-Carroll cognitive abilities and reading achievement. Journal of Psychoeducational Assessment, 26(1), 27-41. https://doi.org/10.1177/0734282907301424
- Berkowitz, M., & Stern, E. (2018). Which cognitive abilities make the difference? Predicting academic achievements in advanced STEM studies. Journal of Intelligence, 6(4), 48. https://doi.org/10.3390/jintelligence6040048
- Blankson, A. N., & McArdle, J. J. (2013). Measurement invariance of cognitive abilities across ethnicity, gender, and time among older Americans. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 70(3), 386-397. https://doi.org/10.1093/geronb/gbt106
- Borghans, L., Golsteyn B. H., Heckman J. J., & Humphries J. E. (2016). What grades and achievement tests measure. Proceedings of the National Academy of Sciences, 113 (47), 13354–13359. https://doi.org/10.1073/pnas.1601135113
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Publication Date
December 30, 2020
Submission Date
June 23, 2020
Acceptance Date
December 8, 2020
Published in Issue
Year 2020 Volume: 7 Number: 2
Cited By
Examining the Invariance of a Measurement Model of Teachers’ Awareness and Exposure Levels to Nanoscience by Using the Covariance Structure Approach
International Journal of Assessment Tools in Education
https://doi.org/10.21449/ijate.828459