Exploring statistics anxiety and self-efficacy in psychology undergraduate students

Statistics anxiety is experienced by a large proportion of psychology students, even though conducting statistical analyses is a fundamental skill for students to acquire. The research on statistics anxiety has tended to explore either dispositional factors (e.g. personality) or situational factors (e.g. teacher effects). One potential predictor that has not yet been considered is statistical self-efficacy; the belief that one can successfully complete statistical tasks. The present study aims to clarify whether statistical self-efficacy is a predictor of any aspects of statistics anxiety in psychology students. In this study 100 undergraduate students (89% female identifying), in the second and third (final) year of a psychology degree in the UK, completed the Statistics Anxiety Rating Scale (STARS), the Statistics Self-efficacy scale (SSE), and a measure of trait anxiety. A hierarchical regression showed a significant negative relationship between statistical self-efficacy and all aspects of statistics anxiety, showing that students who are more confident in their statistical skills experience less statistics anxiety. Findings are discussed in relation to both understanding statistics anxiety and developing interventions to alleviate statistics anxiety, such as mentoring for students with diagnosed clinical anxiety conditions or interventions that aim to improve a student’s self-efficacy.

Authors

Publication Details

Journal
Psychology Teaching Review
Published
2024-10-01
DOI
https://doi.org/10.53841/bpsptr.2024.30.2.17
Citations
1
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring statistics anxiety and self-efficacy in psychology undergraduate students

Amie Felton, О. P. Maksimenko, Victoria J. Bourne, Paul Clarke et al.
1 citations
Psychology Teaching Review
Statistics Education and Methodologies
0.71
article

Exploring statistics anxiety and self-efficacy in psychology undergraduate students

Amie Felton, О. P. Maksimenko, Victoria J. Bourne, Paul Clarke, Maria Iliopoulou
article en
1 citations

Abstract

Statistics anxiety is experienced by a large proportion of psychology students, even though conducting statistical analyses is a fundamental skill for students to acquire. The research on statistics anxiety has tended to explore either dispositional factors (e.g. personality) or situational factors (e.g. teacher effects). One potential predictor that has not yet been considered is statistical self-efficacy; the belief that one can successfully complete statistical tasks. The present study aims to clarify whether statistical self-efficacy is a predictor of any aspects of statistics anxiety in psychology students. In this study 100 undergraduate students (89% female identifying), in the second and third (final) year of a psychology degree in the UK, completed the Statistics Anxiety Rating Scale (STARS), the Statistics Self-efficacy scale (SSE), and a measure of trait anxiety. A hierarchical regression showed a significant negative relationship between statistical self-efficacy and all aspects of statistics anxiety, showing that students who are more confident in their statistical skills experience less statistics anxiety. Findings are discussed in relation to both understanding statistics anxiety and developing interventions to alleviate statistics anxiety, such as mentoring for students with diagnosed clinical anxiety conditions or interventions that aim to improve a student’s self-efficacy.

Psychology Teaching ReviewVol. 30(2)
Openalex Percentile: Top 25%
Statistics Education and Methodologies
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.