Sex: 50.1/49.9% M/F Percentage with children: 24.5 Percentage ever divorced: 13.0 Percentage with current gambling problem: 1.5 Percentage with at least one traffic ticket in last year: 8.0 Percentage arrested at least once: 21.5 Percentage arrested more than once: 10.3 Percentage with >$10,000 credit card debt: 7.9 30.65 percent subjects with BMI>30 (obese) 7.28 percent subjects with BMI>40 (extreme obesity)

[+]

Identified

The Brief Self-Control Survey was designed to gain a better understanding of the operational aspects of self-control, such as breaking bad habits or persevering through a task. At inception, the developers of the measure sought to relate self-control to a number of behavioral and psychological health domains, including achievement, impulse control, psychological adjustment, interpersonal relationships, moral emotions (e.g., shame and guilt), and personality (e.g., conscientiousness and perfectionism) (Tangney, Baumeister, & Boone, 2004).

[+] PMCID, PUBMED ID, or CITATION

Text Citation: Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self‐control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of personality, 72(2), 271-324.

Measured

Two studies were undertaken in the development of the Self-Control Scale (Tangney, Baumeister, & Boone, 2004). In study 1, 93 items were drawn from a review of studies on self-control (Baumeister, Heatherton, & Tice, 1994) and piloted with 351 undergraduate participants. Using quantitative and qualitative methods (e.g., examining item-total correlations, identifying items with a large amount of overlap), this number was reduced to 36. Subjecting these items to principal components analysis and principal axis factoring uncovered five factors: (1) self-discipline, (2) deliberate/nonimpulsive action, (3) healthy habits, (4) work ethic, and (5) reliability. The brief 13-item scale was created with items from each domain to create a total score reflecting a broad conceptualization of self-control (α = .83).
The second study comprised of 255 undergraduate students. In this study, the scale again demonstrated good internal reliability (α = .85). For the 233 students that retook the survey approximately three weeks later, test-retest reliability was also high (α = .87).
Across studies 1 and 2, the Brief Self-Control Scale was positively associated with greater academic success, self-esteem, self-oriented perfectionism, and personality factors (e.g., conscientiousness). The scale was also associated with psychological adjustment and impulse-related health behaviors (e.g., less self-control was associated with anxiety, aggression, alcohol use, and binge eating) and interpersonal functioning (e.g., more self-control related to greater family cohesion and less conflict, less anxious attachment, less shame-proneness, and more perspective taking, among others). These results were largely consistent when controlling for socially desirable responding.

[+] PMCID, PUBMED ID, or CITATION

Text Citation: Baumeister, R. F., Heatherton, T. F., & Tice, D. M. (1994). Losing control: How and why people fail at self-regulation. Academic press.

Text Citation: Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self‐control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of personality, 72(2), 271-324.

[+] Demographics

Sex: 50.1/49.9% M/F
Percentage with children: 24.5
Percentage ever divorced: 13.0
Percentage with current gambling problem: 1.5
Percentage with at least one traffic ticket in last year: 8.0
Percentage arrested at least once: 21.5
Percentage arrested more than once: 10.3
Percentage with >$10,000 credit card debt: 7.9
30.65 percent subjects with BMI>30 (obese)
7.28 percent subjects with BMI>40 (extreme obesity)

Influenced

This measure has not been influenced yet.

Validated

This measure has not been validated yet.

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Additional Resources

Brief Self Control Survey Visit Link

SOBC Validation Process

The Science of Behavior Change (SOBC) program seeks to promote basic research on the initiation, personalization and maintenance of behavior change. By integrating work across disciplines, this effort will lead to an improved understanding of the underlying principles of behavior change. The SOBC program aims to implement a mechanisms-focused, experimental medicine approach to behavior change research and to develop the tools required to implement such an approach. The experimental medicine approach involves: identifying an intervention target, developing measures to permit verification of the target, engaging the target through experimentation or intervention, and testing the degree to which target engagement produces the desired behavior change.

Within the SOBC Measures Repository, researchers have access to measures of mechanistic targets that have been (or are in the processing of being) validated by SOBC Research Network Members and other experts in the field. The SOBC Validation Process includes three important stages of evaluation for each proposed measure: Identification, Measurement, and Influence.

The first stage of validation requires a measure to be Identified within the field; there must be theoretical support for the specific measure of the proposed mechanistic target or potential mechanism of behavior change. This evidence may include references for the proposed measure, or theoretical support for the construct that the proposed measure is intended to assess. The second stage of validation requires demonstration that the level and change in level of the chosen mechanistic target can be Measured with the proposed measure (assay). For example, if the proposed measure is a questionnaire, the score on the measure should indicate the activity of the target process, and it must have strong psychometric properties. The third stage of validation requires demonstration that the measure can be Influenced; there must be evidence that the measured target is malleable and responsive to manipulation. Evidence relating to each stage includes at least one peer-reviewed publication or original data presentation (if no peer-reviewed research is available to support the claim) and is evaluated by SOBC Research Network Members and experts in the field.

Once a measure has gone through these three stages, it will then either be Validated or Not validated according to SOBC Research Network standards. If a measure is Validated, then change in the measured target was reliably associated with Behavior Change. If a measure is Not validated, then change in the measured target was not reliably associated with Behavior Change. Why would we share measures that are not validated? The SOBC Research Network values open, rigorous, and transparent research. Our goal is to make meaningful progress and develop replicable and effective interventions in behavior change science. Therefore, the SOBC sees value in providing other researchers in the field with information regarding measures that work and measures that fall short for specific targets. Further, a measure that is not validated for one target in one population may be validated in another target or population.

Want to learn more? For any questions regarding the SOBC Validation Process or Measures Repository, please email info@scienceofbehaviorchange.org.

Identified

Has the mechanism been identified as a potential target for behavior change? This section summarizes theoretical support for the mechanism.

Measured

Have the psychometric properties of this measure been assessed? This section includes information such as content validity, internal consistency, and test-retest reliability.

Influenced

Has a study manipulation led to change in the mechanism? This section addresses evidence that this measure is modifiable by experimental manipulation or clinical intervention.

Not Validated

Has a change in this mechanism been associated with behavior change? This section addresses empirical evidence that causing change in the measure reliably produces subsequent behavior change.