A single item measure of self-control – validation and location in a nomological network of self-control, boredom, and if-then planning Article Swipe
Wanja Wolff
,
Maik Bieleke
,
Chris Englert
,
Alex Bertrams
,
Julia Schüler
,
Corinna Martarelli
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/exv2g
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/exv2g
Self-control is a highly adaptive human capacity and research on self-control is booming. To further facilitate self-control research, especially in conditions where time-constraints might render the use of multi-item measures of self-control problematic, a validated time-efficient single item measure would be an asset. However, such a measure has not yet been developed and tested. Here, we address this gap by reporting the psychometric properties of a single item measure of self-control and by assessing its localization within a larger theorized psychometric network consisting of self-control, boredom and if-then planning. In a high-powered (N = 1553) study with paid online workers from the US (Gender: 47.3% female, 51.7% male, 1% other; Age: 40.36 ± 12.65 years), we found evidence for the convergent validity (Brief Self-Control Scale), divergent validity (Short Boredom Proneness Scale and If-Then Planning Scale), and criterion validity (objective and subjective Socio-Economic Status) of the single item measure of self-control (“How much self-control do you have?”). Network psychometrics further revealed that the single item was part of the self-control subnetwork and clearly distinguishable from boredom and if-then planning, which together with self-control form a larger psychometric network of psychological dispositions that are relevant for orienting goal directed behavior. Thus, the present findings indicate that self-control can be adequately captured with the single item measure presented here, thereby extending the methodological toolbox of self-control researchers by a highly-time efficient measure
Related Topics
Concepts
Boredom
Self-control
Psychology
Measure (data warehouse)
Control (management)
Scale (ratio)
Convergent validity
Psychometrics
Self-report study
Nomological network
Computer science
Developmental psychology
Social psychology
Structural equation modeling
Artificial intelligence
Data mining
Machine learning
Internal consistency
Quantum mechanics
Physics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31234/osf.io/exv2g
- https://psyarxiv.com/exv2g/download
- OA Status
- gold
- Cited By
- 6
- References
- 78
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3212143212
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3212143212Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31234/osf.io/exv2gDigital Object Identifier
- Title
-
A single item measure of self-control – validation and location in a nomological network of self-control, boredom, and if-then planningWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-09-02Full publication date if available
- Authors
-
Wanja Wolff, Maik Bieleke, Chris Englert, Alex Bertrams, Julia Schüler, Corinna MartarelliList of authors in order
- Landing page
-
https://doi.org/10.31234/osf.io/exv2gPublisher landing page
- PDF URL
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https://psyarxiv.com/exv2g/downloadDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://psyarxiv.com/exv2g/downloadDirect OA link when available
- Concepts
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Boredom, Self-control, Psychology, Measure (data warehouse), Control (management), Scale (ratio), Convergent validity, Psychometrics, Self-report study, Nomological network, Computer science, Developmental psychology, Social psychology, Structural equation modeling, Artificial intelligence, Data mining, Machine learning, Internal consistency, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1, 2022: 2, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
78Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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