A low‐intensity, high‐frequency intervention to reduce procrastination

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Author(s)
Wessel, Jason
Bradley, Graham L
Hood, Michelle
Griffith University Author(s)
Year published
2020
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Show full item recordAbstract
Studies assessing the efficacy of interventions aimed at reducing procrastination have generally lacked robust longitudinal measurement tools. Recent developments in communication technology and applications of the Experience Sampling Method (ESM) have made observations of such dynamic phenomena possible. We leveraged recent advancements in smartphone technology and ESM to measure delay associated with procrastination, while testing a low‐intensity, high‐frequency intervention to reducing that delay. First‐year university students (N = 107) reported their progress on an assignment twice daily over 14 days prior to the required ...
View more >Studies assessing the efficacy of interventions aimed at reducing procrastination have generally lacked robust longitudinal measurement tools. Recent developments in communication technology and applications of the Experience Sampling Method (ESM) have made observations of such dynamic phenomena possible. We leveraged recent advancements in smartphone technology and ESM to measure delay associated with procrastination, while testing a low‐intensity, high‐frequency intervention to reducing that delay. First‐year university students (N = 107) reported their progress on an assignment twice daily over 14 days prior to the required submission date. Half (n = 51) were randomly allocated to an intervention condition in which they were also asked open‐ended questions designed to prompt reflection on 4 domains proposed to reduce procrastination, namely expectancy, value, delay sensitivity, and metacognition. Multilevel mixed effect models revealed lower behavioral delay in the intervention condition compared to the control condition. This effect was strongest in those who at baseline scored below the median on trait procrastination. Behavioral delay over the 14‐day period was not associated with later assignment submission or lower assignment marks. These findings support a novel method for reducing delay and suggest procrastination can be alleviated in a wide range of contexts using relatively inexpensive and non‐intrusive strategies.
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View more >Studies assessing the efficacy of interventions aimed at reducing procrastination have generally lacked robust longitudinal measurement tools. Recent developments in communication technology and applications of the Experience Sampling Method (ESM) have made observations of such dynamic phenomena possible. We leveraged recent advancements in smartphone technology and ESM to measure delay associated with procrastination, while testing a low‐intensity, high‐frequency intervention to reducing that delay. First‐year university students (N = 107) reported their progress on an assignment twice daily over 14 days prior to the required submission date. Half (n = 51) were randomly allocated to an intervention condition in which they were also asked open‐ended questions designed to prompt reflection on 4 domains proposed to reduce procrastination, namely expectancy, value, delay sensitivity, and metacognition. Multilevel mixed effect models revealed lower behavioral delay in the intervention condition compared to the control condition. This effect was strongest in those who at baseline scored below the median on trait procrastination. Behavioral delay over the 14‐day period was not associated with later assignment submission or lower assignment marks. These findings support a novel method for reducing delay and suggest procrastination can be alleviated in a wide range of contexts using relatively inexpensive and non‐intrusive strategies.
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Journal Title
Applied Psychology
Copyright Statement
© 2020 International Association of Applied Psychology. This is the peer reviewed version of the following article: A low‐intensity, high‐frequency intervention to reduce procrastination, Applied Psychology, 2020, which has been published in final form at https://doi.org/10.1111/apps.12293. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)
Note
This publication has been entered as an advanced online version in Griffith Research Online.
Subject
Educational psychology
Industrial and organisational psychology (incl. human factors)
Higher education