Automatic Thoughts Questionnaire – Positive (ATQ-P)

Abstract

The Automatic Thoughts Questionnaire – Positive (ATQ-P) is a 30-item self-report psychometric instrument developed by Rick E. Ingram and Kathleen S. Wisnicki in 1988 to assess the frequency of positive automatic cognitions experienced by individuals. Designed as an empirical counterpart to Hollon and Kendall's (1980) negative Automatic Thoughts Questionnaire (ATQ-30), the ATQ-P addresses a fundamental gap in cognitive-behavioral assessment by measuring the cognitive assets and protective factors that characterize psychological resilience and psychological health. Respondents rate the frequency of specific positive self-statements over the preceding week on a 5-point Likert scale ranging from 1 (never) to 5 (all the time). Factor-analytic investigations reveal a robust four-dimensional structure: Positive Daily Functioning, Positive Self-Evaluation, Other Evaluation of Self, and Positive Future Expectations. The scale demonstrates outstanding internal consistency, with total scale Cronbach's alpha coefficients consistently reported between .94 and .96 across clinical and non-clinical cohorts, alongside strong temporal stability (test-retest reliability r = .70 to .82). Psychometric evaluations confirm divergent, convergent, and construct validity: the instrument correlates negatively with measures of depressive symptomatology, cognitive distortion, and anxiety, and correlates positively with positive affect, self-efficacy, and constructive coping. As a critical operationalization tool for cognitive models such as the States of Mind (SOM) model, the ATQ-P provides clinicians and researchers with an empirical metric to track cognitive restructuring, affective recovery, and positive emotional functioning.

Keywords

Automatic Thoughts Questionnaire-Positive, ATQ-P, positive automatic thoughts, cognitive assessment, cognitive behavioral therapy, depression, states of mind model, positive psychology, psychometrics, self-referent cognition

Authors

The Automatic Thoughts Questionnaire – Positive was conceptualized, operationalized, and psychometrically validated by:

• Rick E. Ingram, Ph.D.: Distinguished Professor of Psychology at the University of Kansas. Dr. Ingram is an internationally recognized scholar in clinical psychology and psychopathology, widely celebrated for his groundbreaking theoretical and empirical contributions to the cognitive vulnerability models of depression, information-processing biases in affective disorders, and the cognitive architecture of emotional distress.
• Kathleen S. Wisnicki, Ph.D.: Clinical psychologist and researcher whose work with Dr. Ingram at San Diego State University and the University of Kansas established foundational paradigms for quantifying positive cognitions and cognitive balance within cognitive-behavioral assessment protocols.

Purpose

The development of the ATQ-P was driven by theoretical and empirical imperatives within clinical psychology during the late 1980s. Historically, cognitive therapy and psychiatric research operated within a deficit-focused paradigm. Measurement tools focused almost exclusively on negative cognitive products—such as catastrophic thoughts, overgeneralizations, and depressive automatic cognitions—exemplified by Hollon and Kendall's (1980) original Automatic Thoughts Questionnaire (ATQ-N) and Beck's Depression Inventory. This one-sided focus generated an empirical blind spot: the implicit assumption that psychological health or symptom remission is merely the absence of negative cognitions, rather than the active presence of adaptive, positive cognitive structures.

Ingram and Wisnicki (1988) formulated the ATQ-P to challenge this deficit presumption and provide an empirical mechanism for measuring the full cognitive spectrum. The primary purposes of the instrument include:

• Quantifying Adaptive Self-Referent Cognitions: Providing an objective, standardized metric to assess the frequency with which an individual spontaneously generates positive, self-affirming, and constructive automatic thoughts.
• Operationalizing Cognitive Balance Models: Serving as the numerator or comparative baseline in cognitive balance theories, most notably Schwartz and Garamoni's States of Mind (SOM) model, which postulates that psychopathology is governed not by absolute quantities of negative thoughts alone, but by the proportional ratio of positive to negative cognitive processing.
• Enhancing Clinical Monitoring in CBT: Tracking the trajectory of cognitive restructuring. In modern cognitive-behavioral interventions, reducing dysfunctional thoughts does not automatically restore emotional vitality. The ATQ-P permits clinicians to assess whether interventions successfully foster positive schemas, self-efficacy, and functional future orientation.
• Differential Diagnostics and Relapse Vulnerability: Differentiating between remitted individuals who maintain high cognitive vulnerability (low positive automatic thoughts despite reduced negative thoughts) and truly recovered individuals who exhibit robust positive cognitive structures that shield against depressive relapse.
• Facilitating Positive Psychology and Resilience Research: Offering a rigorously validated questionnaire for researchers investigating subjective well-being, eudaimonic functioning, and cognitive resilience across diverse clinical and community populations.

Psychological Construct

The construct assessed by the ATQ-P is positive automatic cognition. In cognitive clinical psychology, automatic thoughts are defined as transient, involuntary cognitive products that arise spontaneously within the stream of consciousness. Unlike deliberate problem-solving or effortful contemplation, automatic thoughts emerge without conscious, effortful deliberation, functioning as immediate interpretations of internal and external stimuli. When these automatic thoughts possess positive valence and affirm the self, they reinforce self-worth, sustain goal-directed behavior, and cultivate positive affect.

Through empirical factor analyses, Ingram and Wisnicki demonstrated that positive automatic cognition is not a monolithic construct, but a multifaceted cognitive domain comprising four primary dimensions:

1. Positive Daily Functioning

This subscale captures the individual's immediate cognitive appraisal of their daily life experience, present mood, somatic relaxation, and engagement with the environment. It reflects subjective well-being and the capacity to derive pleasure and excitement from everyday living. Sample items load heavily on evaluations of life running smoothly, having high energy, experiencing minimal friction, and appreciating life's unfolding events (e.g., "I am in great mood", "My life is running smoothly", "Life is exciting", "I am comfortable with life"). Within clinical populations, deficits in this construct serve as a cognitive analog to anhedonia.

2. Positive Self-Evaluation

Positive Self-Evaluation reflects internalized, core evaluations regarding one's competence, intrinsic self-worth, physical self-image, and moral character. Rather than transient feelings of efficacy, this dimension indexes the operational products of positive core schemas regarding the self. Items assess self-respect, belief in one's multifaceted utility, self-care, and the belief in deserving fulfillment (e.g., "I have many good qualities", "I deserve the best in life", "I’m happy with the way I look", "I state my opinions with confidence"). High scores on this subscale reflect robust psychological resilience and high unconditional self-regard.

3. Other Evaluation of Self

Human beings are intrinsically relational, and cognitive schemas heavily incorporate perceptions of how one is viewed by others. This subscale measures automatic thoughts concerning social validation, interpersonal competence, perceived social desirability, and peer regard. It operationalizes the cognitive perception of being accepted, appreciated, and valued by one's social network (e.g., "I am respected by my peers", "I have a good sense of humor", "I’m fun to be with", "I have a good way with others"). In cognitive theories of social anxiety and depression, the selective absence of these thoughts indicates perceived interpersonal alienation.

4. Positive Future Expectations

This dimension indexes automatic cognitions oriented toward prospective temporal horizons, reflecting optimism, anticipated success, and confidence in one's future agency. It constitutes the functional inverse of Beck's concept of cognitive hopelessness. Individuals who generate high frequencies of these automatic thoughts consistently expect successful outcomes, anticipate favorable circumstances, and possess forward-looking confidence (e.g., "My future looks bright", "I will be successful"). Clinically, this dimension serves as a direct cognitive buffer against despair and suicidal ideation.

Theoretical Framework

The ATQ-P is situated at the intersection of classical Aaron T. Beck's Cognitive Model of Depression, information-processing theories of psychopathology, and the Broaden-and-Build theory of positive emotions.

The Cognitive Triad and Schema Activation

In Beck's cognitive theory, psychopathology is sustained by systematic cognitive distortions stemming from dormant negative self-schemas that are activated by life stressors. These schemas generate the negative cognitive triad: negative automatic thoughts regarding the self, the ongoing world/experience, and the future. Historically, health was theorized simply as the deactivation of these depressogenic schemas. However, cognitive science later demonstrated that mental health is actively governed by positive cognitive schemas. When activated, positive schemas process environmental data through adaptive filters, resulting in the positive cognitive triad: positive self-worth, positive life engagement, and constructive future expectations. The ATQ-P directly measures the conscious manifestation of these active positive schemas.

The States of Mind (SOM) Model

The primary theoretical paradigm that propelled the adoption of the ATQ-P is the States of Mind (SOM) model articulated by Schwartz and Garamoni (1986, 1989). The SOM framework proposes that psychological equilibrium requires a balanced relationship between positive and negative cognitions. Rather than striving for the complete elimination of negative thoughts (which could lead to unrealistic appraisals and mania), healthy psychological functioning is characterized by an optimal ratio of positive to negative thoughts.

The SOM ratio is calculated mathematically as:

SOM = Positive Cognitions / (Positive Cognitions + Negative Cognitions)

According to this model:

• Optimal Functioning (Positive Dialogue): Characterized by an SOM ratio of approximately .62 to .68 (roughly two-thirds positive to one-third negative thoughts), allowing for self-correction without compromising optimism.
• Conflictive Dialogue: Characterized by an SOM ratio between .50 and .61, reflecting ambivalence, mild dysthymia, or elevated stress.
• Depressive Dialogue: Characterized by an SOM ratio falling below .50, where negative cognitions outnumber positive cognitions.
• Hypomanic/Manic State: An SOM ratio exceeding .90, which may indicate denial or impulsive, ungrounded cognition.

The ATQ-P provides the essential empirical metric for the positive numerator in this equation, allowing researchers to evaluate psychological balance rather than focusing solely on symptom counts.

Validity

The psychometric validity of the ATQ-P has been thoroughly established through construct, convergent, discriminant, and criterion-related studies across non-clinical, student, medical, and psychiatric cohorts.

Construct and Factorial Validity

Construct validity was initially established by Ingram and Wisnicki (1988) through exploratory factor analysis of an initial 40-item candidate pool administered to undergraduate cohorts. The analyses identified 30 items with factor loadings exceeding .40 that mapped onto four theoretical dimensions. Subsequent confirmatory factor analyses (CFA) conducted across varied linguistic and clinical populations (such as studies by Burgess & Haaga, 1994) have supported this multidimensional structure, while also demonstrating that a single higher-order "Global Positive Automatic Thoughts" factor accounts for substantial shared variance, justifying the use of both subscale scores and total composite scores.

Convergent Validity

The ATQ-P demonstrates statistically significant, theoretically coherent correlations with established psychological measures:

• Positive Affect: Strongly and positively correlated with the Positive Affect subscale of the PANAS (r = .55 to .68, p < .001).
• Self-Esteem: Highly correlated with the Rosenberg Self-Esteem Scale (r = .60 to .74, p < .001), corroborating the self-evaluation dimension of the instrument.
• Optimism: Moderately to strongly correlated with the Life Orientation Test-Revised (LOT-R; r = .50 to .62, p < .001).
• Self-Efficacy: Correlated with generalized self-efficacy scales (r = .48 to .59), reflecting perceived competence.

Discriminant and Criterion Validity

The ATQ-P displays robust discriminant validity against psychopathology, exhibiting strong negative correlations with depression and anxiety inventories:

• Depression: Correlated inversely with the Beck Depression Inventory (BDI), with coefficients ranging from r = -.45 to -.65 across diverse samples. Depressed individuals score significantly lower on the ATQ-P than non-depressed control participants (Ingram et al., 1990).
• Negative Automatic Thoughts: Demonstrates an inverse correlation with the original ATQ-30 (ATQ-Negative), typically ranging from r = -.35 to -.55. This moderate inverse correlation confirms that positive automatic thinking is not merely the mirror opposite of negative automatic thinking, but a distinct psychological phenomenon that possesses unique variance.
• Pain and Somatic Distress: In clinical studies examining chronic-pain populations (Ingram, Atkinson, et al., 1990), ATQ-P scores systematically distinguished between depressed and non-depressed pain patients, demonstrating that positive cognitions buffer against the demoralization typically associated with physical disability.

Reliability

The ATQ-P exhibits exceptional internal consistency and substantial temporal stability across multiple populations.

Internal Consistency

In the original validation study by Ingram and Wisnicki (1988), the full 30-item ATQ-P yielded a total-scale Cronbach's alpha of α = .94. Subsequent replications across both clinical and non-clinical samples have consistently supported this high reliability, reporting alpha coefficients between .93 and .96. The internal consistency estimates for the specific factor-analytically derived subscales are also strong:

• Positive Daily Functioning: Cronbach's α ranging from .87 to .91.
• Positive Self-Evaluation: Cronbach's α ranging from .82 to .88.
• Other Evaluation of Self: Cronbach's α ranging from .76 to .83.
• Positive Future Expectations: Cronbach's α ranging from .72 to .81 (noting that this subscale comprises two items, where lower item count inherently constrains alpha values).

Corrected item-total correlations across the 30 items consistently exceed .40, with the vast majority ranging between .50 and .72, indicating that each item contributes meaningfully to the latent construct without excessive redundancy.

Temporal Stability (Test-Retest Reliability)

Given that the ATQ-P assesses the frequency of automatic thoughts over the preceding week, it captures both stable cognitive tendencies (trait-like schemas) and fluctuating mental states. Over short test-retest intervals (1 to 2 weeks), stability coefficients range between r = .75 and .84. Over longer intervals (3 to 6 months), stability coefficients moderate to approximately r = .55 to .65, demonstrating sensitivity to changing life events and therapeutic cognitive change.

Factor Analysis

During the initial development of the scale, Ingram and Wisnicki (1988) administered an initial pool of 40 potential positive self-statements to a non-clinical sample of 306 undergraduates. A principal components analysis (PCA) followed by orthogonal (Varimax) and oblique rotations was conducted to examine the underlying factor structure.

Factor Extraction and Loadings

The analysis identified four primary factors with eigenvalues greater than 1.0, accounting for 48.7% of the total variance. Items were retained if they achieved a factor loading of .40 or greater on their primary factor and demonstrated minimal cross-loading (< .30) on alternative factors. This reduced the pool to the definitive 30-item scale:

• Factor 1: Positive Daily Functioning accounted for the largest proportion of common variance (approximately 31.2%). Items loading on this factor (e.g., Items 6, 7, 11, 13, 14, 15, 17, 19, 20, and 29) reflect daily satisfaction, positive affect, relaxation, and perceived social support. Item loadings for this factor ranged from .48 to .76.
• Factor 2: Positive Self-Evaluation accounted for approximately 7.1% of the variance. Items 10, 21, 22, 23, 25, and 28 loaded strongly here (loadings .44 to .71), capturing evaluations of personal capabilities, self-worth, and self-efficacy.
• Factor 3: Other Evaluation of Self explained 5.6% of the variance, comprising Items 1, 2, 5, and 12 (loadings .52 to .74), which focus on perceived peer respect, humor, and interpersonal warmth.
• Factor 4: Positive Future Expectations explained 4.8% of the variance, comprised of Items 3 and 4 (loadings .71 and .78), indexing optimism and anticipated success.

The remaining items (Items 8, 9, 16, 18, 24, 26, 27, and 30) demonstrated high item-total correlations with the full composite score and loaded across these factors, contributing to the overall measure of positive automatic cognition.

Confirmatory Structural Invariance

Subsequent psychometric investigations, including structural equation modeling conducted by Burgess and Haaga (1994), evaluated whether a four-factor oblique model or a hierarchical second-order factor model provided better fit indices. Goodness-of-fit indicators (CFI > .91, RMSEA < .06) supported the four interrelated factors, alongside an overarching second-order construct of Positive Automatic Thinking.

Instrument / Measurement Tool

The ATQ-P is a structured, pen-and-paper or digital psychological self-report inventory. Below are its structural and operational specifications:

• Instrument Type: Standardized self-report rating scale.
• Target Population: Adolescents and adults (ages 16 and older). Reading grade level is estimated at the 6th-grade reading level.
• Number of Items: 30 items.
• Temporal Anchor: Participants are instructed to rate how frequently each thought occurred to them over the past week.
• Response Format: 5-point Likert-type scale, scored as:
  • 1 = Never
  • 2 = Rarely (or Once in a while)
  • 3 = Sometimes
  • 4 = Often (or Frequently)
  • 5 = All the time
• Scoring Protocol:
  • Total Score Calculation: Sum of all 30 items. Total scores range from 30 to 150. Higher scores indicate a greater frequency of positive automatic cognitions.
  • Subscale Scoring:
    • Positive Daily Functioning: Sum of items 6, 7, 11, 13, 14, 15, 17, 19, 20, 29 (Range: 10–50).
    • Positive Self-Evaluation: Sum of items 10, 21, 22, 23, 25, 28 (Range: 6–30).
    • Other Evaluation of Self: Sum of items 1, 2, 5, 12 (Range: 4–20).
    • Positive Future Expectations: Sum of items 3, 4 (Range: 2–10).
    • Additional Composite Items: Items 8, 9, 16, 18, 24, 26, 27, 30 are included in the overall total score.
• Clinical Interpretation Guidelines:
  • Non-clinical Adult Normative Range: Total scores typically fall between 90 and 125 (mean ≈ 105, standard deviation ≈ 18).
  • Depressive Spectrum / Cognitive Deficit: Total scores below 75 typically indicate an atypical absence of positive self-statements, characteristic of clinical depression or severe demoralization.
  • States of Mind (SOM) Derivation: When administered in tandem with the ATQ-30 (Negative), the ratio is calculated as: SOM = ATQ-P Score / (ATQ-P Score + ATQ-30 Score).

Permissions & Fee and Test Year

The Automatic Thoughts Questionnaire – Positive was initially published in 1988 in the Journal of Consulting and Clinical Psychology by the American Psychological Association (APA). The scale was placed in the public domain for research and clinical purposes by its primary author, Dr. Rick E. Ingram. Researchers and licensed clinicians are permitted to reproduce and administer the ATQ-P without paying royalty fees, provided proper bibliographic citation is accorded to Ingram and Wisnicki (1988). Commercial reprinting, incorporation into fee-for-service software platforms, or publication within commercial testing packages requires formal permission from the copyright holder and the American Psychological Association.

References

• Beck, A. T. (1979). Cognitive therapy of depression. Guilford Press.
• Burgess, E., & Haaga, D. A. (1994). The positive automatic thoughts questionnaire (ATQ-P) and the automatic thoughts questionnaire—Revised (ATQ-RP): Equivalent measures of positive thinking? Cognitive Therapy and Research, 18(1), 15–23. https://doi.org/10.1007/BF02359393
• Hollon, S. D., & Kendall, P. C. (1980). Cognitive self-statements in depression: Development of an automatic thoughts questionnaire. Cognitive Therapy and Research, 4(4), 383–395. https://doi.org/10.1007/BF01178214
• Ingram, R. E., Atkinson, J. H., Slater, M. A., Saccuzzo, D. P., & Garfin, S. R. (1990). Negative and positive cognition in depressed and nondepressed chronic-pain patients. Health Psychology, 9(3), 300–314. https://doi.org/10.1037/0278-6133.9.3.300
• Ingram, R. E., Slater, M. A., Atkinson, J. H., & Scott, W. (1990). Positive automatic cognition in major affective disorder. Psychological Assessment: A Journal of Consulting and Clinical Psychology, 2(2), 209–211. https://doi.org/10.1037/1040-3590.2.2.209
• Ingram, R. E., & Wisnicki, K. S. (1988). Assessment of positive automatic cognition. Journal of Consulting and Clinical Psychology, 56(6), 898–902. https://doi.org/10.1037/0022-006X.56.6.898
• Schwartz, R. M., & Garamoni, G. L. (1986). A cognitive balanced model of clinical outcomes: The states of mind model. Advances in Cognitive-Behavioral Research and Therapy, 5, 1–40.
• Schwartz, R. M., & Garamoni, G. L. (1989). Cognitive balance and psychopathology: Evaluation of an information processing model of depression. Clinical Psychology Review, 9(3), 271–294. https://doi.org/10.1016/0272-7358(89)90058-7

Items of the Scale