Peer tutoring is an effective method of improving undergraduate students’ academic performance, especially for those at-risk for poor grades. Peer tutoring has seldom been explored in undergraduate statistics, a difficult but required course for many college majors. The current study investigated the benefits of peer tutoring for 180 demographically-diverse undergraduate students enrolled in an introductory psychology statistics course at an urban public university. We investigated the predictive value of attendance at peer tutoring sessions for in-class examination performance. We also studied the role of help-seeking and self-efficacy. Results indicated that peer tutoring attendance was associated with higher grades for in-class examination among at-risk students. Help-seeking and self-efficacy were not associated with in-class examination scores. Peer tutors can help at-risk students increase scores in statistics courses. Departments offering undergraduate introductory statistics courses should allocate resources to allow for funding of peer tutoring programs.
Mathematical competency is related to performance in introductory statistics courses and may be a roadblock to successful course completion. We developed a new measure (Math Assessment for College Students, MACS) of basic mathematics skills that improves upon measures previously used in undergraduate settings. The MACS is freely available and contains items not typically included on standardized measures of mathematical ability. We administered the 44-item MACS to 414 undergraduate psychology statistics students, and used a multiple correspondence analysis to eliminate 14 items, resulting in a 30-item measure with strong psychometric properties. MACS scores showed statistically significant moderate correlations with a commonly used standardized measure of basic mathematics skills and with overall statistics course grade. We discuss the utility of the MACS and how the MACS may help course instructors identify areas of mathematical deficiency that require remediation. First published November 2018 at Statistics Education Research Journal Archives
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