The dimensionality of the Brief Self-Control Scale—An evaluation of unidimensional and multidimensional applications

Lindner, Christoph; Nagy, Gabriel; Retelsdorf, Jan

doi:10.1016/j.paid.2015.07.006

Cited by 95 publications

(94 citation statements)

References 32 publications

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“…The items (e.g., "I am good at resisting temptation") were measured on a scale from 1 (does not apply at all) to 5 (fully applies). The scale showed a unidimensional structure (eigenvalue ¼ 2.93) and acceptable factor loadings ranging from 0.48 to 0.74, which corresponds with the results of a recent revision of the scales psychometric properties (Lindner, Nagy, & Retelsdorf, 2015).…”

Section: Methodssupporting

confidence: 83%

“…The suboptimal level of convergent validity for trait self-control corresponds with the moderate factor loadings found in our previous exploratory factor analysis (see 3.1.2 Measures). Although these values demonstrate room for improvement, they mirror the findings of a recent investigation of the psychometric properties of the Brief Self-Control Scale (cf., Lindner et al, 2015). This low convergent validity is indicative of the complexity of trait self-control, which is expressed in the diversity of the items of the Brief Self-Control Scale (Tangney et al, 2004).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

“Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students’ well-being

Meier

Reinecke

Meltzer

2016

Computers in Human Behavior

210

175

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Section: Methodssupporting

confidence: 83%

Section: Resultsmentioning

confidence: 99%

“Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students’ well-being

Meier

Reinecke

Meltzer

2016

Computers in Human Behavior

210

175

View full text Add to dashboard Cite

“…The Brief Self Control Scale (BSCS) consists of 13 items, scored on a 5-point scale, with a summed score ranging from 13-65 (low to high), which has been validated in student and jail inmate populations (Lindner, Nagy, & Retelsdorf, 2015;Malouf et al, 2014;Tangney, Baumeister, & Boone, 2004). The items reflect impulse control and self-discipline/restraint (Maloney, Grawitch, & Barber, 2012;Morean et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

Similarities and Differences in Victimization Risk Factors for Nonoffending and Offending Substance Users

Skjærvø

Clausen

Abel

et al. 2017

Victims & Offenders

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In this cross-sectional study of substance users in Norway, we describe the patterns of victimization and investigate the factors associated with victimization, for non-offenders and offenders separately. Recent victimization was reported by 59%, and the victimization-rate was higher among offenders compared to non-offenders (69% and 43%, p<0.001). Women, regardless of offender status, experienced more victimization. Unstable housing was associated with victimization among non-offenders, while markers for more severe substance use and indicators for poor mental health were associated with victimization in both groups.Addressing these factors may be important in reducing victimization and its negative outcomes among substance users.

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“…In all surveys, various survey tools, such as the SAPS [27], a behavioral activation system/behavioral inhibition system (BAS/BIS) [28], a short version of the smartphone addiction scale (SAS-SV) [29], depression symptom checklist-90-revision (SCL-90-R) [30], Dickman Functional and Dysfunctional Impulsivity Inventory (DFDII) [31], and belief self-control scale (BSCS) [32], were employed.…”

Section: Baseline Settlement Sessionmentioning

confidence: 99%

Design, Development and Implementation of a Smartphone Overdependence Management System for the Self-Control of Smart Devices

et al. 2016

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Background: Smartphone overdependence is a type of mental disorder that requires continuous treatment for cure and prevention. A smartphone overdependence management system that is based on scientific evidence is required. This study proposes the design, development and implementation of a smartphone overdependence management system for self-control of smart devices. Methods: The system architecture of the Smartphone Overdependence Management System (SOMS) primarily consists of four sessions of mental monitoring: (1) Baseline settlement session; (2) Assessment session; (3) Sensing & monitoring session; and (4) Analysis and feedback session. We developed the smartphone-usage-monitoring application (app) and MindsCare personal computer (PC) app to receive and integrate usage data from smartphone users. We analyzed smartphone usage data using the Chi-square Automatic Interaction Detector (CHAID). Based on the baseline settlement results, we designed a feedback service to intervene. We implemented the system using 96 participants for testing and validation. The participants were classified into two groups: the smartphone usage control group (SUC) and the smartphone usage disorder addiction group (SUD). Results: The background smartphone monitoring app of the proposed system successfully monitored the smartphone usage based on the developed algorithm. The usage minutes of the SUD were higher than the usage minutes of the SUC in 11 of the 16 categories developed in our study. Via the MindsCare PC app, the data were successfully integrated and stored, and managers can successfully analyze and diagnose based on the monitored data. Conclusion: The SOMS is a new system that is based on integrated personalized data for evidence-based smartphone overdependence intervention. The SOMS is useful for managing usage data, diagnosing smartphone overdependence, classifying usage patterns and predicting smartphone overdependence. This system contributes to the diagnosis of an abstract mental status, such as smartphone overdependence, based on specific scientific indicators without reliance on consultation.

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The dimensionality of the Brief Self-Control Scale—An evaluation of unidimensional and multidimensional applications

Cited by 95 publications

References 32 publications

“Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students’ well-being

“Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students’ well-being

Similarities and Differences in Victimization Risk Factors for Nonoffending and Offending Substance Users

Design, Development and Implementation of a Smartphone Overdependence Management System for the Self-Control of Smart Devices

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