Research Article

A Mixture Partial Credit Analysis of Math Anxiety

Volume: 5 Number: 4 December 16, 2018
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A Mixture Partial Credit Analysis of Math Anxiety

Abstract

The purpose of this study was to investigate a new methodology for detection of differences in middle grades students’ math anxiety. A mixture partial credit model analysis was used to detect distinct latent classes based on homogeneities in response patterns. The analysis detected two latent classes. Students in Class 1 had less anxiety about apprehension of math lessons and use of mathematics in daily life, and more self-efficacy for mathematics than students in Class 2. Students in both classes were similar in terms of test and evaluation anxiety. Moreover, students in Class 1 were found to be more successful in mathematics, mostly like mathematics and mathematics teachers, and have better educated mothers than students in Class 2. Manifest variables of gender, attending private or public schools, and education levels of fathers did not differ among the latent classes. Characterizing differences between members of each latent class extends recent advances in measuring math anxiety.

Keywords

References

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Details

Primary Language

English

Subjects

Studies on Education

Journal Section

Research Article

Publication Date

December 16, 2018

Submission Date

June 25, 2018

Acceptance Date

August 25, 2018

Published in Issue

Year 2018 Volume: 5 Number: 4

APA
Ölmez, İ. B., & Cohen, A. S. (2018). A Mixture Partial Credit Analysis of Math Anxiety. International Journal of Assessment Tools in Education, 5(4), 611-630. https://doi.org/10.21449/ijate.455175
AMA
1.Ölmez İB, Cohen AS. A Mixture Partial Credit Analysis of Math Anxiety. Int. J. Assess. Tools Educ. 2018;5(4):611-630. doi:10.21449/ijate.455175
Chicago
Ölmez, İbrahim Burak, and Allan S. Cohen. 2018. “A Mixture Partial Credit Analysis of Math Anxiety”. International Journal of Assessment Tools in Education 5 (4): 611-30. https://doi.org/10.21449/ijate.455175.
EndNote
Ölmez İB, Cohen AS (December 1, 2018) A Mixture Partial Credit Analysis of Math Anxiety. International Journal of Assessment Tools in Education 5 4 611–630.
IEEE
[1]İ. B. Ölmez and A. S. Cohen, “A Mixture Partial Credit Analysis of Math Anxiety”, Int. J. Assess. Tools Educ., vol. 5, no. 4, pp. 611–630, Dec. 2018, doi: 10.21449/ijate.455175.
ISNAD
Ölmez, İbrahim Burak - Cohen, Allan S. “A Mixture Partial Credit Analysis of Math Anxiety”. International Journal of Assessment Tools in Education 5/4 (December 1, 2018): 611-630. https://doi.org/10.21449/ijate.455175.
JAMA
1.Ölmez İB, Cohen AS. A Mixture Partial Credit Analysis of Math Anxiety. Int. J. Assess. Tools Educ. 2018;5:611–630.
MLA
Ölmez, İbrahim Burak, and Allan S. Cohen. “A Mixture Partial Credit Analysis of Math Anxiety”. International Journal of Assessment Tools in Education, vol. 5, no. 4, Dec. 2018, pp. 611-30, doi:10.21449/ijate.455175.
Vancouver
1.İbrahim Burak Ölmez, Allan S. Cohen. A Mixture Partial Credit Analysis of Math Anxiety. Int. J. Assess. Tools Educ. 2018 Dec. 1;5(4):611-30. doi:10.21449/ijate.455175

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