A Multi-Level Analysis of the Effects of Statistics Anxiety/Attitudes on Trajectories of Exam Scores
Author ORCID Identifier
Document Type
Article
Publication Date
9-19-2022
Publication Title
Journal of Statistics and Data Science Education
Volume
31
Issue
1
First Page
102
Last Page
112
Abstract
This study explores three understudied facets—quadratic effects, change over time, and gender as a moderator—of the otherwise well-documented relationships between statistics anxiety and academic performance. Using pre- and post- course survey data among a sample of 111 undergraduate students in Social Statistics courses at a U.S. Midwestern university, we employ hierarchical linear modeling (HLM) to test for relationships between change in the six dimensions of the Statistics Anxiety Rating Scale (STARS) and exam grades over the course of the semester. We find that exam grades decreased over time, but at different rates across gender and the six STARS dimensions. We also identify a quadratic relationship between self-concept and final exam grades, as well as several gender interactions. This study highlights the multifaceted and dynamic nature of statistics anxiety/attitudes, as its relationship with academic performance is not always negative, linear, stable over time, or uniform across gender. Supplementary materials for this article are available online.
Recommended Citation
MacArthur, Kelly Rhea and Santo, Jonathan, "A Multi-Level Analysis of the Effects of Statistics Anxiety/Attitudes on Trajectories of Exam Scores" (2022). Psychology Faculty Publications. 313.
https://digitalcommons.unomaha.edu/psychfacpub/313
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Comments
This is an open access article published under the Creative Commons Attribution NonCommercial license.
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