Measures Of Self-control Research Articles

Self-Control Assessments and Implications for Predicting Adolescent Offending.

Although low self-control is consistently related to adolescent offending, it is unknown whether self-report measures or laboratory behavior tasks yield better predictive utility, or if a combination yields incremental predictive power. This is particularly important because developmental theory indicates that self-control is related to adolescent offending and, consequently, risk assessments rely on self-control measures. The present study (a) examines relationships between self-reported self-control on the Weinberger Adjustment Inventory with Go/No-Go response inhibition, and (b) compares the predictive utility of both assessment strategies for short- and long-term adolescent reoffending. It uses longitudinal data from the Crossroads Study of male, first-time adolescent offenders ages 13-17 (N = 930; 46 % Hispanic/Latino, 37 % Black/African-American, 15 % non-Hispanic White, 2 % other race). The results of the study indicate that the measures are largely unrelated, and that the self-report measure is a better indicator of both short- and long-term reoffending. The laboratory task measure does not add value to what is already predicted by the self-report measure. Implications for assessing self-control during adolescence and consequences of assessment strategy are discussed.

Using self-reported and objective measures of self-control to predict exercise and academic behaviors among first-year university students.

Thirty students (mean age = 18 ± 0.5 years) completed self-report (Self-Control Scale) and objective (isometric handgrip squeeze performance) measures of self-control, provided their exercise and academic (study/schoolwork) plans for the next month, and then logged these behaviors over the subsequent 4-week period. Trait self-control predicted exercise and academic behavior. Handgrip squeeze performance predicted academic behavior and adherence to academic plans. Further, regression analysis revealed that trait self-control and handgrip performance explained significant variance in academic behavior. These findings provide a new understanding of how different self-control measures can be used to predict first-year students' participation in, and adherence to, exercise and academic behaviors concurrently.

School Investment, Drinking Motives, and High-Risk, High-Reward Partying Decisions Mediate the Relationship Between Trait Self-Control and Alcohol Consumption Among College Drinkers.

Research has shown trait self-control, neuroticism, and coping and enhancement drinking motives to be predictors of alcohol consumption among college students. Recent research also provides evidence for the effects of role investment and role-based alcohol consumption-decision making (i.e., partying decisions). The goal of the present study was to clarify the organization and contributions of these multifarious influences on college student drinking. College students (N = 355; 51.8% female) with a heterogeneous prevalence of alcohol dependence completed measures of trait self-control; neuroticism; coping and enhancement drinking motives; subjective college student role investment, satisfaction, and stress; role-based partying scenarios; and a typical weekly alcohol consumption interview. Internal and comparative fit indices for alternative path models were evaluated and bootstrapping procedures were used to examine indirect effects. Modeling results favored a more stratified organization, where (a) the association between trait self-control and consumption was mediated by drinking motives and partying decisions, (b) the association between neuroticism and consumption was mediated by coping motives, and (c) the association between role investment and consumption was mediated by partying decisions. The associations between motives and consumption were not mediated by partying decisions. The results provide support for disinhibitory and distress pathways to college student drinking, where impulsive and anxious students are more likely to drink excessively because of more frequent mood-affecting drinking goals, less academic involvement, and/or more frequent decisions to attend parties where negative academic consequences are likely but where perceived rewarding alcohol-related and social features are present.

Reflexive reaction to feelings predicts failed smoking cessation better than does lack of general self-control.

Many treatment-seeking smokers have difficulty quitting and maintaining abstinence. Trait impulsivity versus self-control is relevant to this problem. However, impulsivity is a multifaceted construct, and different measures emphasize different parts of it. This study compared 2 self-report measures of self-control versus impulsiveness as predictors of smoking cessation. One measure taps a very specific tendency to respond impulsively when experiencing emotions. The other taps overall self-control without reference to emotional states. Adult smokers (N = 116) recruited from the community participated in a group-based smoking cessation intervention. The sample was racially/ethnically diverse, mostly male, middle aged, single, low income, and moderately nicotine dependent. Self-reports on scales titled Reflexive reaction to feelings and Self-control were completed at entry. Seven-day point prevalence abstinence (ppa) was assessed at end-of-therapy (EOT) and at 3- and 6-month follow-ups. A generalized estimating equation (GEE) tested overall relationships of the self-report scales with 7-day ppa across the assessments. Bivariate analyses revealed inverse associations between Reflexive reaction to feelings and 7-day ppa; a positive association emerged between Self-control and 7-day ppa only at EOT. A GEE found that elevated scores on Reflexive reaction to feelings predicted failure in smoking cessation across the study period (adjusted odds ratio [AOR] = 0.69 [0.49-0.96], p = .03) and that Self-control scores did not do so significantly (AOR = 1.26 [0.80-1.99], p = .32). Results add to a literature suggesting the importance of emotion-related impulsivity to behavioral problems by showing its relevance to smoking cessation in treatment-seekers. (PsycINFO Database Record

Who strikes back? A daily investigation of when and why incivility begets incivility.

Incivility at work-low intensity deviant behaviors with an ambiguous intent to harm-has been on the rise, yielding negative consequences for employees' well-being and companies' bottom-lines. Although examinations of incivility have gained momentum in organizational research, theory and empirical tests involving dynamic, within-person processes associated with this negative interpersonal behavior are limited. Drawing from ego depletion theory, we test how experiencing incivility precipitates instigating incivility toward others at work via reduced self-control. Using an experience sampling design across 2 work weeks, we found that experiencing incivility earlier in the day reduced one's levels of self-control (captured via a performance-based measure of self-control), which in turn resulted in increased instigated incivility later in the day. Moreover, organizational politics-a stable, environmental factor-strengthened the relation between experienced incivility and reduced self-control, whereas construal level-a stable, personal factor-weakened the relation between reduced self-control and instigated incivility. Combined, our results yield multiple theoretical, empirical, and practical implications for the study of incivility at work. (PsycINFO Database Record

Intimate partner violence: Are the risk factors similar for men and women, and similar to other types of offending?

We studied intimate partner violence (IPV) within a framework of other violent and nonviolent offending, to explore whether the risk factors for offending were similar across the different offense categories, and also for men and women. A comprehensive measure of offending behavior was administered to 184 men and 171 women, together with measures of anger, self-control, and psychopathic traits. The measure, the nonviolent and violent offending behavior scale (NVOBS), assesses IPV, general violence, and nonviolent offending behavior. Men perpetrated higher levels of general violence and nonviolent offenses than women, whereas women perpetrated significantly more IPV than men. Regression analyses showed that the predictors of offending behavior are generally similar for men and women, with the exception of IPV, where self-control was a better predictor of IPV for men and anger was a better predictor of IPV for women. Limitations of the present sample and suggestions for future work are discussed. Aggr. Behav. 42:404-412, 2016. © 2015 Wiley Periodicals, Inc.

An exploratory examination of At-Risk/Problematic Internet Use and disordered eating in adults

PurposeAt-Risk/Problematic Internet Use (ARPIU) has been associated with impairment in multiple domains including psychopathology. The present study examined the relationship between ARPIU and disordered eating in a large community sample. MethodsParticipants (n=1000) completed an online survey about health behaviors. Two thresholds of ARPIU and disordered eating each were examined. ResultsThe ARPIU and Sub-ED (subthreshold eating disorders) groups reported greater depressive symptoms and poorer self-control than the Control group; the Sub-ED group reported greater impulsivity than the Control group. The ARPIU and Sub-ED groups significantly differed in key features related to each condition. Finally, the co-occurrence of ARPIU and Sub-ED was associated with greater depression. In the second set of analyses based on more stringent thresholds, the Problematic Internet Use (PIU) and ED groups differed on all measures compared to the Control group. The PIU and ED groups also differed on key features related to each condition, but did not differ on measures of impulsivity or self-control. The co-occurrence of PIU and ED was associated with greater depressive symptoms than either PIU or ED independently. ConclusionsARPIU and Sub-ED share links to depression and poor self-control and these may represent possible therapeutic targets across Internet-use and disordered-eating behaviors. Co-occurring PIU and ED at either lenient or stringent thresholds is associated with greater depression. Future studies should examine the temporal nature of these associations and the extent to which targeting depression, Internet use, or disordered eating may lead to improvements across domains.

The domain specificity of intertemporal choice in pinyon jays.

When choosing between a piece of cake now versus a slimmer waistline in the future, many of us have difficulty with self-control. Food-caching species, however, regularly hide food for later recovery, sometimes waiting months before retrieving their caches. It remains unclear whether these long-term choices generalize outside of the caching domain. We hypothesized that the ability to save for the future is a general tendency that cuts across different situations. To test this hypothesis, we measured and experimentally manipulated caching to evaluate its relationship with operant measures of self-control in pinyon jays (Gymnorhinus cyanocephalus). We found no correlation between caching and self-control at the individual level, and experimentally increasing caching did not influence self-control. The self-control required for caching food, therefore, does not carry over to other foraging tasks, suggesting that it is domain specific in pinyon jays.

Are Behavioral Measures of Self-Control and the Grasmick Self-Control Scale Measuring the Same Construct? A Meta-Analysis

The Grasmick attitudinal scale of self-control (Grasmick, Tittle, Bursik, & Arneklev, Journal of Research in Crime and Delinquency, 30, 5–29, 1993) is one of the more commonly used measures in research on Gottfredson and Hirschi’s (1990) self-control concept. What has yet to be determined is whether the Grasmick scale correlates as well with crime and delinquency as behavioral measures of self-control and whether the Grasmick scale correlates better with these behavioral measures than it does with crime and delinquency. A meta-analysis was performed on 13 samples obtained from published research where the Grasmick scale, a behavioral or consequences measure of self-control, and an estimate of crime or delinquency were all administered to participants. All analyses were computed with Comprehensive Meta-Analysis, Version 2 (Borenstein, Hedges, Higgins, & Rothstein, 2005) software. The results of the meta-analysis revealed that the Grasmick scale and behavioral/consequences measures of self-control achieved comparable correlations with concurrent measures of crime and delinquency but correlated no higher with each other than they did with crime and delinquency. Four possible interpretations of these results are considered: (1) the self-control concept advanced by Gottfredson and Hirschi is a tautology; (2) the attitudinal and behavioral/consequences measures of self-control are measuring different constructs; (3) self-control is a multidimensional construct; (4) self-report measures of behavioral self-control are inadequate for assessing low self-control.

Self-report and behavioural approaches to the measurement of self-control: Are we assessing the same construct?

The capacity for self-control has been consistently linked to successful execution of health behaviour. However, a lack of consensus remains in the conceptualisation and measurement of the construct. Notably, self-report measures relate to behavioural measures of self-control only weakly or not at all. The aim of the current research was to examine the relationship between self-report and behavioural measures of self-control to determine whether these differentially relate to health behaviour. Participants (N=146) completed questionnaire and behavioural measures of self-control, and reported their physical activity. A direct effect of self-reported self-control on physical activity was observed, qualified by an interaction between self-reported self-control and behavioural measures, whereby greater self-reported self-control was associated with greater engagement in physical activity among those who performed poorly on the stop-signal task and those who performed well on the Stroop task. These results appear to indicate that the combination of trait self-control and behavioural factors leads to facilitative or debilitative effects on behaviour. Self-report and behavioural measures of self-control do not appear to assess the same elements of self-control and should not be used interchangeably. It is suggested that these measurement modes reflect a difference between trait self-control and specific self-control processes.

Does trait self-control predict weaker desire for unhealthy stimuli? A lab-based study of unhealthy snack intake

Traditionally, self-control has been conceptualized as the effortful overcoming of desires in order to enact goal-consistent behavior. Several researchers have suggested that instead, self-control is effortless, as individuals with high self-control experience less intense desire that conflicts with valued goals. The current study tested whether the relationship between trait self-control and snack intake was mediated by desire strength, or whether those with higher trait self-control were better able to overcome desire to indulge in unhealthy food, controlling for aspects of the food environment and goal motivation. A sample of women with the goal of eating healthily for weight management (N=134) completed a lab-based assessment of snack food consumption and self-report measures of desire strength and trait self-control (generic self-control, and both inhibitory and initiatory subcomponents). As expected, desire strength mediated the relationship between generic self-control and intake, such that higher self-control was related to lower snack intake indirectly via lower desire strength. The relationship between desire and intake was consistent across self-control levels. The same pattern of results emerged for both inhibitory and initiatory self-control. These findings support the contemporary conceptualization of self-control as being effortless due to the reduced strength of unhealthy desires.

Media multitasking and well-being of university students

This study examines the impact of media multitasking behaviors on university students’ social and psychological well-being (indicated by social success, normalcy, and self-control measures). To address inconsistent findings in recent literature, we characterized media multitasking behaviors by motivations, characteristics, and contexts. In particular, we examined the motivation of the primary task and the synchronicity of the task when social interactions were involved. Synchronous social interactions were found to be significantly and positively associated with social success, normalcy, and self-control. However, as predicted, media multitasking during synchronous social interactions was associated with lower social success. Further, although increased media multitasking during cognitive activities was linked with decreased self-control, media multitasking during entertainment activities was correlated with increased social success, normalcy, and self-control.

Trait self-control is predicted by how reward associations modulate Stroop interference.

Although cognitive control is commonly identified as the basis of self-controlled behavior, correlations found between trait self-control and laboratory measures of cognitive control such as Stroop interference are typically low. Based on the notion that self-control requires the ability to refrain from rewarded behaviors, and inspired by the recent finding that Stroop interference is modulated by reward associations, we propose the idea that the modulation of interference by reward associations (MIRA) is a cognitive marker of trait self-control. Two independent samples of participants completed (1) a modified Stroop task designed to assess MIRA and (2) two common measures of trait self-control: the Brief Self-Control Scale (BSCS) and the Barratt Impulsiveness Scale (BIS-11). MIRA was strongly correlated with the BSCS and moderately correlated with two of the three subscales of the BIS-11. MIRA thus appears to reflect a cognitive endophenotype of individual differences in self-control, and perhaps of related mental disorders.

Eating on impulse: Implicit attitudes, self-regulatory resources, and trait self-control as determinants of food consumption

Self-regulatory resources and trait self-control have been found to moderate the impulse–behavior relationship. The current study investigated whether the interaction of self-regulatory resources and trait self-control moderates the association between implicit attitudes and food consumption. One hundred twenty female participants were randomly assigned to either a depletion condition in which their self-regulatory resources were reduced or a no-depletion condition. Participants' implicit attitudes for chocolate were measured with the Single Category Implicit Association Test and self-report measures of trait self-control were collected. The dependent variable was chocolate consumption in an ostensible taste and rate task. Implicit attitudes predicted chocolate consumption in depleted participants but not in non-depleted participants. However, this predictive power of implicit attitudes on eating in depleted condition disappeared in participants with high trait self-control. Thus, trait self-control and self-regulatory resources interact to moderate the prediction of implicit attitude on eating behavior. Results suggest that high trait self-control buffers the effect of self-regulatory depletion on impulsive eating.

Self-Control Scale AS-36: Construction and validation study

Abstract This paper presents a validation study of a new questionnaire of self-control as an individual trait. The questionnaire has two parallel versions, one based on self-reports (AS-36) and another one based on informant reports (AS-36-3). Each version consists of three subscales, called Inhibition (12 items), Switching (12 items), and Goal Monitoring (12 items). Eight samples of participants (N = 935 altogether) took part in the validation study. Both versions obtained satisfactory indices of internal consistency, assessed with Cronbach’s alpha and split-half coefficients. Selfcontrol assessed with this scale proved to be entirely independent of general intelligence. However, AS-36 and AS-36-3 scores tended to correlate with other self-report measures of trait self control, such as Tangney, Baumeister, and Boone’s (2004) self-control scale. We conclude that AS-36 is a valid and reliable tool, suitable for assessment of self-control in both research and diagnostic settings.

Delay discounting, self-control, and substance use among adult drug court participants.

The current study examined the relationship between two measures of impulsiveness and the odds of substance use among a sample of participants on an Australian drug court (n=80). Participants completed a computer-based delay discounting task, a paper-based delay discounting task, and a questionnaire-based measure of self-control. The delay discounting tasks measured individual differences in the value attributed to distal outcomes, which is one aspect of impulsive behavior that has been found to be over-represented among illicit drug users. The relationship between the measures of impulsiveness and the odds of substance use was assessed by fitting longitudinal panel regression models with adjustment for informative treatment dropout. Consistent with previous research, drug court participants were found to have higher discount rates (i.e. were more impulsive) than a noncriminal population of university students (n=101). Drug court participants also discounted delayed gains more than delayed losses. Delay discounting was not significantly associated with the odds of substance use on the drug court program. There was a positive relationship between the survey-based measure of impulsivity and the mean substance use frequency. The authors conclude that impulsivity is correlated with substance use among drug court participants but not when measuring impulsivity using a delay discounting paradigm.

A self-regulatory approach to understanding boredom proneness

ABSTRACTWe investigated the relationship between self-regulation and two types of boredom proneness (perceived lack of internal stimulation, perceived lack of external stimulation) using a variety of measures of self-regulation. These included a general measure of self-control, measures of both regulatory focus (i.e., promotion or a sensitivity to gains/non-gains vs. prevention or a sensitivity to losses/non-losses) and regulatory mode (i.e., assessment or the tendency to compare means and goals vs. locomotion or the tendency to initiate and maintain commitment to action), and measures of cognitive flexibility (i.e., a perceived sense of control and the tendency to seek alternative solutions). Results identified a unique set of factors related to each boredom proneness component. Trait self-control and prevention focus were associated with lower boredom propensity due to a lack of external stimulation. Locomotion and the tendency to seek alternatives were associated with lower boredom propensity due to a lack of internal stimulation. These findings suggest that effective goal pursuit is associated with reduced likelihood of experiencing boredom.

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

The widely-used Brief Self-Control Scale (BSCS) is usually applied as a unidimensional measure of trait self-control. However, there is no clear empirical evidence for the scale's unidimensional structure, while different multidimensional conceptualizations of the BSCS have recently been suggested. The authors of those multidimensional models used different BSCS item subsets to specify distinct facets of self-control in order to enhance the representation of the scale's internal structure or to increase the instrument's efficiency in predicting various outcomes. Up until now, little is known about the relative performance of these conceptualizations. In this article, we compare three two-dimensional representations of the BSCS with the unidimensional measure in two samples of university students (N=205) and apprentices in vocational education and training (N=1951). Of the two-dimensional models only the one that separates positively and negatively worded items showed a consistent improvement in model fit in both samples, compared to the unidimensional model. However, in comparison to the unidimensional measure, the two-dimensional measures did not substantially enhance the predictive power concerning outcome variables in either sample. We conclude that the BSCS's total score is a viable option for assessing trait self-control and for studying its relationship with achievement-related outcome variables.

Why Don’t Households Smooth Consumption? Evidence from a $25 Million Experiment

This paper evaluates theoretical explanations for the propensity of households to increase spending in response to the arrival of predictable, lump-sum payments, using households in the Nielsen Consumer Panel who received $25 million in randomly distributed stimulus payments. The pattern of spending is inconsistent with models in which identical households cycle rapidly through high and low- response states as they manage liquidity, but is instead highly predictable by income years before the payment. Spending responses are unrelated to expectation errors, almost unrelated to crude measures of procrastination and self-control, significantly related to sophistication and planning, and highly related to impatience. (JEL D12, D14, D91, E21, H23)

Why Don't Households Smooth Consumption? Evidence from a 25 Million Dollar Experiment

This paper evaluates theoretical explanations for the propensity of households to increase spending in response to the arrival of predictable, lump-sum payments, using households in the Nielsen Consumer Panel who received $25 million in Federal stimulus payments that were distributed randomly across weeks. The pattern of spending is inconsistent with models in which identical households cycle through high and low response states as they manage liquidity. Instead, the propensity spend is a persistent household trait. This trait is unrelated to expectation errors, almost unrelated to crude measures of procrastination and self-control, moderately related to measures of sophistication and planning, and highly related to a measure of impatience.