Dieting Self-Efficacy Test (DSET)

Abstract

The Dieting Self-Efficacy Test (DSET) is an established psychometric instrument developed to evaluate an individual's perceived self-efficacy and perceived control regarding eating habits, weight management, and dietary adherence. Rooted in Albert Bandura's social cognitive theory, the instrument was operationalized by Philip Lawrence Ascheman (1989, 1991) at Iowa State University to address the need for a targeted psychometric tool measuring eating self-efficacy expectations across high-risk eating scenarios, negative emotional states, and chronic dieting challenges. Comprising 30 self-report items, the DSET assesses individuals across core behavioral and cognitive dimensions, including vulnerability to binge eating, susceptibility to emotional eating, cognitive preoccupation with weight and shape, and vulnerability to self-regulatory failure during weight reduction regimens.

Respondents evaluate each statement using a 5-point Likert response scale ranging from 1 (Agree strongly) to 5 (Disagree strongly), with items 11 and 16 reverse-scored to account for positive self-regulatory framing. Psychometric evaluations demonstrate high internal consistency, with total scale Cronbach's alpha coefficients exceeding .90, robust test-retest reliability across multiple assessment intervals, and strong convergent validity with established measures of eating pathology, including the Eating Disorder Inventory (EDI), the Binge Eating Scale (BES), and measures of negative affectivity. Exploratory and confirmatory factor analyses support a coherent factor structure capturing perceived loss of control over food, affective eating triggers, and dieting relapse vulnerability. This article provides an exhaustive examination of the DSET's theoretical foundations, structural dimensions, psychometric properties, scoring procedures, clinical utility, and research applications in behavioral medicine and clinical psychology.

Keywords

Dieting Self-Efficacy Test, DSET, eating self-efficacy, self-regulatory efficacy, weight management, binge eating, emotional eating, social cognitive theory, dietary adherence, psychometrics, eating behavior

Authors

The Dieting Self-Efficacy Test (DSET) was conceived, operationalized, and psychometrically validated by Philip Lawrence Ascheman, Ph.D., within the Department of Psychology at Iowa State University (Ames, Iowa, United States). The initial construction and empirical derivation of the instrument were documented in his master's thesis titled Development of an Eating Self-Efficacy Expectation Measure (Ascheman, 1989), supervised by academic faculty specializing in clinical psychometrics and behavioral medicine. Further psychometric refinement, cross-validation, and clinical construct delineation were completed in his doctoral dissertation, A Validation Study of a Measure of Dieting Self-Efficacy (Ascheman, 1991).

Purpose

The Dieting Self-Efficacy Test was developed to fulfill a critical methodological and clinical gap in the assessment of eating behaviors and behavioral weight regulation. While traditional nutritional and psychological assessments often focused solely on dietary intake, caloric counting, or overt eating disorder symptomatology (such as severe purging or emaciation), they frequently failed to measure the underlying cognitive-mediational mechanisms governing whether an individual can initiate and maintain dietary control. Ascheman recognized that cognitive appraisals—specifically perceived capability to manage food intake under challenging circumstances—play a decisive role in long-term behavioral maintenance and relapse vulnerability.

Clinical Applications

In clinical settings, the DSET serves as a diagnostic, prognostic, and treatment-planning instrument. It is widely employed in cognitive-behavioral therapy (CBT) programs for bulimia nervosa, binge eating disorder (BED), and non-purging eating disorders not otherwise specified. By administering the DSET prior to therapy, clinicians can identify specific triggers and cognitive vulnerabilities where the patient experiences profound self-regulatory doubt—such as depressive episodes, interpersonal stress, or perceived dietary violations (the "abstinence violation effect"). Throughout the therapeutic process, repeated administrations allow practitioners to monitor whether therapeutic gains translate into genuine increases in perceived self-regulatory efficacy, rather than superficial, short-lived compliance.

Research Applications

Within empirical research, the DSET functions as a standard dependent or mediating variable in longitudinal studies evaluating lifestyle interventions, pharmacological weight-loss trials, and nutritional behavioral interventions. Researchers utilize the instrument to model the psychological trajectories of weight regain, testing hypotheses regarding whether pre-treatment self-efficacy moderates post-intervention adherence. Moreover, the scale facilitates cross-disciplinary research examining the interplay between emotional regulation, metabolic functioning, and cognitive appraisals in diverse clinical and non-clinical populations.

Psychological Construct

The central psychological construct evaluated by the DSET is dieting self-efficacy, conceptualized as an individual's subjective conviction in their capability to organize, execute, and sustain dietary control and avoid overeating across diverse environmental, emotional, and physiological states. Rather than representing a static personality trait, dieting self-efficacy is a dynamic, context-dependent self-belief system that directly influences effort expenditure, persistence in the face of obstacles, and emotional reactions following behavioral setbacks.

Key Dimensions of the Construct

The 30 items of the DSET evaluate several interrelated facets of perceived control and eating-related vulnerability:

• Perceived Loss of Control over Consumption: This dimension assesses the individual's recurring cognitive appraisal that once eating begins, it cannot be voluntarily terminated. Items such as Item 25 ("I can't control how much I eat") and Item 29 ("I can't help overeating") capture this sense of helplessness and automaticity, reflecting deep-seated doubts about one's executive inhibitory control in the presence of food.
• Negative Affect and Stress-Induced Eating: Self-efficacy expectations are frequently compromised during periods of elevated negative affect. Items such as Item 8 ("Before I eat, I often feel depressed") and Item 18 ("I overeat when I am distressed") evaluate an individual's vulnerability to emotional eating, where palatable food is utilized as a maladaptive affect-regulation strategy due to low perceived efficacy in coping with distress through non-consummatory means.
• Binge Eating Episodes and Post-Binge Compensatory Desires: Certain items probe severe self-regulatory failures characterized by rapid, uncontrolled consumption of objectively large quantities of food, accompanied by physical discomfort and compensatory impulses (e.g., Item 4: "I sometimes have the urge to vomit after eating"; Item 7: "Sometimes I go on eating binges"; Item 22: "Sometimes I eat so much I get sick").
• Dietary Abandonment and Relapse Vulnerability: This facet captures the cognitive tendency to surrender structured dietary plans when initial difficulties arise. Illustrated by Item 13 ("I give up on diets after a few days") and Item 19 ("After a diet, I usually go on an eating binge"), it assesses the individual's lack of long-term adherence efficacy and susceptibility to post-diet behavioral rebound.
• Cognitive Preoccupation with Food, Shape, and Weight: High levels of cognitive interference regarding food and body image undermine self-efficacy by constantly depleting self-regulatory bandwidth. Items like Item 5 ("I think a lot about getting fat"), Item 9 ("My life seems to revolve around food"), and Item 20 ("I think about food often") index this pervasive intrusive ideation.
• Positive Self-Regulatory Agency: Captured via reverse-scored items (Item 11: "I can normally control my eating behavior"; Item 16: "Most of the time I can resist the urge to stuff myself"), this dimension represents the adaptive, protective pole of the self-efficacy spectrum, wherein individuals maintain confidence in their day-to-day self-discipline.

Theoretical Framework

The theoretical framework underpinning the DSET synthesizes Bandura's Social Cognitive Theory with Marlatt and Gordon's Relapse Prevention Model and Herman and Polivy's Restraint Theory.

Bandura's Social Cognitive Theory

According to Bandura (1977, 1986, 1997), self-efficacy expectations refer to beliefs in one's capabilities to organize and execute the courses of action required to produce given attainments. Bandura made a fundamental distinction between efficacy expectations (the conviction that one can successfully execute the behavior) and outcome expectancies (the judgment that a given behavior will lead to specific outcomes). In the context of dieting, an individual may possess high outcome expectancy (knowing that caloric restriction leads to weight reduction) yet exhibit extremely low efficacy expectations (believing they are entirely unable to resist food when lonely, exhausted, or surrounded by peers). The DSET operationalizes efficacy expectations across diverse internal and external challenges.

Marlatt's Relapse Prevention Model

The Relapse Prevention framework developed by G. Alan Marlatt and Judith Gordon (1985) provides critical insight into the behavioral patterns assessed by the DSET. Marlatt posited that when an individual attempting behavioral change encounters a "high-risk situation" (such as interpersonal conflict or emotional distress), an adequate coping response increases self-efficacy and decreases relapse probability. Conversely, if an individual lacks effective coping strategies or holds low self-efficacy expectations, a lapse (initial dietary violation) occurs. This lapse often triggers the Abstinence Violation Effect (AVE), characterized by guilt, internal attributions of failure, and complete self-regulatory abandonment. Items 13, 17, and 19 of the DSET directly capture this cycle of perceived helplessness and subsequent bingeing.

Restraint Theory and the Disinhibition Hypothesis

C. Peter Herman and Janet Polivy's Restraint Theory highlights the paradoxical nature of chronic dieting. Chronic dieters impose rigid cognitive limits on their food intake. When these cognitive boundaries are breached—either by involuntary food intake, alcohol consumption, or emotional distress—"counterregulation" occurs, wherein the individual consumes significantly more food than non-dieters. The DSET captures this psychological conflict through items measuring the tension between excessive control and complete loss of control (e.g., Item 17: "I bounce between feeling that I don't have enough control of my eating to feeling that I try too hard to control it").

Validity

Comprehensive psychometric investigations conducted by Ascheman (1989, 1991) and subsequent independent researchers have established robust evidence supporting the construct, convergent, discriminant, and predictive validity of the DSET.

Construct and Convergent Validity

Convergent validity has been evaluated by correlating the DSET with widely recognized psychometric measures of eating pathology, dietary restraint, and psychological distress. Ascheman observed strong, statistically significant correlations between DSET scores and subscales of the Eating Disorder Inventory (EDI; Garner et al., 1983). Specifically, when scored in the direction of dietary inefficacy (perceived lack of control), the DSET correlates positively with the EDI Bulimia subscale (r = .68 to .76, p < .001) and the Drive for Thinness subscale (r = .52 to .61, p < .001). Furthermore, the DSET demonstrates substantial convergent validity with Gormally's Binge Eating Scale (BES; r = .70 to .79), confirming that individuals with low dieting self-efficacy report elevated binge-eating frequencies and severe loss of control.

Moderate to high positive correlations have also been recorded with the Beck Depression Inventory (BDI; r = .40 to .52), aligning with theoretical models positing that negative mood states substantially impair perceived self-regulatory efficacy and promote comfort eating.

Discriminant Validity

Discriminant validity was established by comparing DSET performance across distinct demographic and clinical cohorts. Clinical samples diagnosed with bulimia nervosa or binge eating disorder exhibited significantly higher inefficacy scores (reflecting lower self-efficacy) compared to non-clinical controls (t > 8.50, p < .0001). Furthermore, the DSET displays low to negligible correlations with unrelated personality constructs such as generalized social introversion, sensory processing sensitivity, and non-eating-related academic self-efficacy, confirming that the scale assesses domain-specific self-regulatory expectations rather than generalized negative affect or global low self-esteem.

Predictive and Criterion Validity

In behavioral weight-loss trials, baseline DSET scores reliably predict program retention, dietary compliance, and objective weight loss over 12- and 24-week follow-up intervals. Participants entering treatment with higher baseline self-efficacy (or those demonstrating marked improvements in self-efficacy within the first four weeks of cognitive-behavioral intervention) demonstrated significantly lower attrition rates and greater percentage body weight reduction than participants maintaining low self-efficacy appraisals.

Reliability

The DSET exhibits exemplary reliability across diverse operational metrics, establishing its utility for both group-level research and individual clinical decision-making.

Internal Consistency

In the original validation samples consisting of university cohorts and clinical weight-loss participants (Ascheman, 1989, 1991), the total 30-item DSET yielded exceptional internal consistency coefficients. The total scale Cronbach's alpha coefficient ranged between .91 and .94 across validation samples. Item-total correlations for the individual items generally fall within the .42 to .74 range, indicating that each item shares substantial variance with the overarching latent construct without introducing redundant collinearity. The reverse-scored items (Item 11 and Item 16) demonstrate robust corrected item-total correlations following inversion (typically exceeding .50).

Test-Retest Reliability and Temporal Stability

Temporal stability was evaluated across non-clinical cohorts over intervals of two to four weeks. Pearson product-moment correlation coefficients demonstrated high stability, with test-retest reliability estimates ranging from r = .84 to .89 (p < .001). These findings confirm that while dieting self-efficacy can change dynamically in response to targeted clinical intervention, it remains remarkably stable in the absence of treatment, functioning as a reliable cognitive baseline.

Standard Error of Measurement

Given the high alpha coefficients, the Standard Error of Measurement (SEM) of the DSET is small, allowing clinicians to calculate narrow 95% confidence intervals around observed scores and accurately determine whether pre-to-post treatment score shifts represent true clinical change or random measurement error (reliable change index).

Factor Analysis

The structural dimensionality of the DSET was established through rigorous exploratory factor analyses (EFA) utilizing principal axis factoring and principal component analysis (PCA), supplemented by oblique (Promax) and orthogonal (Varimax) rotations (Ascheman, 1989, 1991). While the DSET possesses a strong overarching general factor—perceived dietary self-efficacy / loss of eating control—multidimensional analyses consistently reveal three to four salient underlying sub-dimensions.

EFA Findings and Factor Loadings

In Ascheman's initial exploratory factor model, the scree plot and eigenvalue analysis (eigenvalues > 1.0) accounted for more than 55% of the total variance, isolating primary structural clusters:

• Factor 1: Perceived Inability to Control Intake / Overeating (Eigenvalue > 9.0; accounting for ~32% of variance): Characterized by high factor loadings (.55 to .81) from items assessing direct behavioral loss of control, including Item 1 ("I frequently overeat, even when I plan not to"), Item 21 ("I frequently overeat"), Item 25 ("I can't control how much I eat"), Item 28 ("I often find myself eating, even when I didn't plan to"), Item 29 ("I can't help overeating"), and Item 30 ("At times, it seems impossible to control my eating habits").
• Factor 2: Emotional and Distress-Induced Eating (Eigenvalue ~ 2.8; accounting for ~10% of variance): Items loading primarily on this factor reflect eating in response to internal affective triggers, including Item 8 ("Before I eat, I often feel depressed"; loading .68) and Item 18 ("I overeat when I am distressed"; loading .75).
• Factor 3: Body Image, Weight Preoccupation, and Dietary Relapse (Eigenvalue ~ 2.1; accounting for ~7% of variance): Defined by items indexing cognitive anxiety regarding weight gain and chronic dieting failure, such as Item 3 ("At times, it seems impossible to control my weight"; loading .64), Item 5 ("I think a lot about getting fat"; loading .59), Item 6 ("Dieting just doesn't work for me"; loading .62), and Item 13 ("I give up on diets after a few days"; loading .58).
• Factor 4: Binge Eating and Severe Disinhibition (Eigenvalue ~ 1.5; accounting for ~5% of variance): Encompassing items reflecting severe clinical pathology, such as Item 4 (vomiting urges; loading .51), Item 7 (eating binges; loading .70), and Item 22 (eating until sick; loading .65).

Confirmatory Factor Analysis (CFA)

Subsequent structural evaluations utilizing confirmatory factor analysis (CFA) have demonstrated that while a higher-order general factor model exhibits acceptable fit (CFI > .90, RMSEA < .065), multidimensional models accounting for correlated sub-factors provide an enhanced representation of the instrument's structural architecture. Consequently, researchers may calculate both an overarching composite score and distinct subscale indices to capture granular profiles of eating-related vulnerability.

Instrument / Measurement Tool

• Test Name: Dieting Self-Efficacy Test (DSET)
• Alternative Title in Literature: Eating Self-Efficacy Expectation Measure (ESEEM)
• Author: Philip Lawrence Ascheman, Ph.D. (Iowa State University)
• Instrument Type: Self-report psychometric rating scale
• Target Population: Adults and adolescents (clinical and non-clinical populations, individuals undergoing weight management or eating disorder therapy)
• Administration Format: Paper-and-pencil or computerized self-administered questionnaire
• Administration Time: Approximately 5 to 10 minutes
• Total Item Count: 30 items
• Response Scale: 5-point Likert response format:
  • 1 = Agree strongly
  • 2 = Agree moderately
  • 3 = Neither agree nor disagree
  • 4 = Disagree moderately
  • 5 = Disagree strongly
• Reverse-Scored Items: Items 11 and 16 are positively phrased and must be reversed prior to computing composite scores.
• Scoring Models:
  • Standard Pathology / Inefficacy Scoring: When scored according to original research formulations where higher numbers reflect disagreement with maladaptive statements, reverse-scoring items 11 and 16 means: (1 becomes 5, 2 becomes 4, 3 remains 3, 4 becomes 2, 5 becomes 1). In this system, higher total scores reflect higher self-efficacy (stronger disagreement with eating loss-of-control statements).
  • Direct Symptom Severity Scoring: Conversely, clinicians frequently invert all negatively phrased items so that higher scores directly reflect higher severity of dietary disinhibition / low self-efficacy. In this convention, items 11 and 16 are scored: 1=5, 2=4, 3=3, 4=2, 5=1, while all other 28 items are scored directly: 1=5 (Agree strongly = high pathology) down to 5=1 (Disagree strongly = low pathology). Total raw scores range from 30 to 150.

Permissions & Fee and Test Year

The Dieting Self-Efficacy Test was initially formulated in 1989 and formally validated in 1991 through academic research conducted at Iowa State University by Philip Lawrence Ascheman. The instrument is documented in the public domain for non-commercial scholarly and academic research purposes via the Iowa State University Digital Repository (Retrospective Theses and Dissertations, Paper 9627). Researchers, clinical psychologists, and healthcare practitioners wishing to employ the DSET for educational, clinical, or academic research may typically do so without licensing fees, provided that proper bibliographic citation is accorded to the original author and Iowa State University. For commercial adaptations, corporate wellness platforms, or commercial software integration, permissions should be sought from the author or the intellectual property division of Iowa State University.

References

• Ascheman, P. L. (1989). Development of an eating self-efficacy expectation measure (Unpublished master's thesis). Iowa State University, Ames, IA. https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=10626&context=rtd
• Ascheman, P. L. (1991). A validation study of a measure of dieting self-efficacy (Doctoral dissertation, Iowa State University). Retrospective Theses and Dissertations, Paper 9627. https://lib.dr.iastate.edu/rtd/9627/
• Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
• Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company.
• Garner, D. M., Olmstead, M. P., & Polivy, J. (1983). Development and validation of a multidimensional eating disorder inventory for anorexia nervosa and bulimia. International Journal of Eating Disorders, 2(2), 15–34. https://doi.org/10.1002/1098-108X(198321)2:2<15::AID-EAT2260020203>3.0.CO;2-6
• Gormally, J., Black, S., Daston, S., & Rardin, D. (1982). The assessment of binge eating severity among obese persons. Addictive Behaviors, 7(1), 47–55. https://doi.org/10.1016/0306-4603(82)90024-7
• Herman, C. P., & Polivy, J. (1980). Restrained eating. In A. J. Stunkard (Ed.), Obesity (pp. 208–225). W. B. Saunders.
• Marlatt, G. A., & Gordon, J. R. (Eds.). (1985). Relapse prevention: Maintenance strategies in the treatment of addictive behaviors. Guilford Press.
• Stunkard, A. J., & Messick, S. (1985). The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. Journal of Psychosomatic Research, 29(1), 71–83. https://doi.org/10.1016/0022-3999(85)90010-8

Items of the Scale