Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties
Procrastination is a chronic and widespread problem; however, emerging work raises questions regarding the strength of the relationship between self-reported procrastination and behavioral measures of task engagement. This study assessed the internal reliability, concurrent validity, predictive vali...
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Published in | Frontiers in psychology Vol. 13; p. 784471 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
24.02.2022
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Subjects | |
Online Access | Get full text |
ISSN | 1664-1078 1664-1078 |
DOI | 10.3389/fpsyg.2022.784471 |
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Summary: | Procrastination is a chronic and widespread problem; however, emerging work raises questions regarding the strength of the relationship between self-reported procrastination and behavioral measures of task engagement. This study assessed the internal reliability, concurrent validity, predictive validity, and psychometric properties of 10 self-report procrastination assessments using responses collected from 242 students. Participants’ scores on each self-report instrument were compared to each other using correlations and cluster analysis. Lasso estimation was used to test the self-report scores’ ability to predict two behavioral measures of delay (days to study completion; pacing style). The self-report instruments exhibited strong internal reliability and moderate levels of concurrent validity. Some self-report measures were predictive of days to study completion. No self-report measures were predictive of deadline action pacing, the pacing style most commonly associated with procrastination. Many of the self-report measures of procrastination exhibited poor fit. These results suggest that researchers should exercise caution in selecting self-report measures and that further study is necessary to determine the factors that drive misalignment between self-reports and behavioral measures of delay. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Katrin B. Klingsieck, University of Paderborn, Germany; Piers Steel, University of Calgary, Canada; Rodrigo Moreta-Herrera, Pontificia Universidad Católica del Ecuador, Ecuador This article was submitted to Quantitative Psychology and Measurement, a section of the journal Frontiers in Psychology Edited by: Frode Svartdal, UiT The Arctic University of Norway, Norway These authors have contributed equally to this work and share last authorship |
ISSN: | 1664-1078 1664-1078 |
DOI: | 10.3389/fpsyg.2022.784471 |