CORRELATES OF EXAM PERFORMANCE IN AN INTRODUCTORY STATISTICS COURSE: BASIC MATH SKILLS ALONG WITH SELF-REPORTED PSYCHOLOGICAL/BEHAVIORAL AND DEMOGRAPHIC VARIABLES

Authors

  • LAURA A. RABIN CUNY Brooklyn College
  • ANJALI KRISHNAN CUNY Brooklyn College
  • ROSE BERGDOLL CUNY Brooklyn College
  • JOSHUA FOGEL CUNY Brooklyn College

DOI:

https://doi.org/10.52041/serj.v20i1.97

Keywords:

Statistics education research, Math Assessment for College Students, Self-efficacy, Self-reported procrastination, Discriminant correspondence analysis

Abstract

This study investigated whether basic mathematics skills are associated with undergraduate psychology statistics course performance while simultaneously considering self-reported psychological/behavioral and demographic variables. Participants (n = 460) completed a Math Assessment for College Students (MACS), which included questions ranging from calculating percentages to graphical interpretation. The researchers used a discriminant correspondence analysis to reveal differences in course performance evaluated as the average of three exam grades. For the variation in the average exam scores accounted for by our model, the MACS scores provided the largest contribution. Other variables associated with better exam grades included white ethnicity, non-transfer status, lower year in school, and low procrastination. The researchers discuss the implications for helping instructors identify areas of basic mathematical deficiency and strength.

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Published

2021-06-23

Issue

Section

Regular Articles