Positive Mental Health Scale (PMH-scale)

1. Abstract

The Positive Mental Health Scale (PMH-scale) is a brief, psychometrically sound, unidimensional self-report instrument developed by Jürgen Margraf and colleagues (Lukat et al., 2016) to assess positive psychological functioning, emotional well-being, and generalized mental health. Grounded in the dual-continua model of mental health, the scale conceptualizes mental health not merely as the absence of psychopathology, affective distress, or psychiatric morbidity, but as an autonomous, affirmative dimension characterized by positive affect, life satisfaction, psychological resilience, perceived self-efficacy, and social vitality. Comprising exactly nine positively phrased items rated on a 4-point Likert scale ranging from 0 (“do not agree”) to 3 (“agree”), or alternatively coded 1 to 4, the PMH-scale yields a single composite score reflecting overall positive mental health.

Extensive psychometric investigations conducted across large representative general population samples, clinical outpatients, university students, and diverse international cohorts demonstrate outstanding psychometric properties. Confirmatory factor analyses (CFA) consistently confirm a robust unidimensional structure across genders, age groups, clinical versus non-clinical strata, and cultural contexts, establishing strict measurement invariance. The scale exhibits high internal consistency, with Cronbach’s alpha coefficients routinely ranging between α = .84 and .93, alongside excellent test-retest reliability across short- and medium-term intervals (r_tt = .74 to .85). Convergent and discriminant validity are firmly substantiated through meaningful correlations with established measures of subjective well-being, resilience, optimism, self-esteem, generalized anxiety, depressive symptom inventories, and physiological stress markers. Given its brief administration time of less than two minutes and minimal cognitive burden, the PMH-scale is widely utilized in epidemiological surveys, clinical outcome monitoring, positive psychology interventions, and occupational health research.

2. Keywords

Positive Mental Health Scale, PMH-scale, positive psychology, subjective well-being, dual-continua model, mental health assessment, psychometrics, flourishing, life satisfaction, emotional well-being, unidimensional scale, psychological resilience

3. Authors

The Positive Mental Health Scale was authored and validated by a collaborative research consortium led by clinical psychologists and psychometricians based at Ruhr-Universität Bochum (Mental Health Research and Treatment Center) and the Radboud University Nijmegen:

• Jan Lukat, Dipl.-Psych. — Mental Health Research and Treatment Center, Department of Clinical Psychology and Psychotherapy, Ruhr-Universität Bochum, Bochum, Germany.
• Prof. Dr. Jürgen Margraf — Alexander von Humboldt Professor of Clinical Psychology and Psychotherapy; Chair of Clinical Psychology and Psychotherapy, Mental Health Research and Treatment Center, Ruhr-Universität Bochum, Bochum, Germany. Email contact via institutional registry: [email protected].
• Dr. Rainer Lutz — Psychologische Praxis und Institut für Genussforschung, Marburg, Germany; co-developer of eudaimonic and enjoyability-oriented clinical intervention models.
• Dr. William M. van der Veld — Behavioral Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands; psychometrician specializing in structural equation modeling and measurement invariance.
• Prof. Dr. Eni S. Becker — Professor of Clinical Psychology, Behavioral Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands.

4. Purpose

For several decades, psychiatric classification and clinical psychometrics operated predominantly under a pathogenic or deficit-oriented paradigm. Traditional assessment batteries—such as the Beck Depression Inventory (BDI-II), the Symptom Checklist-90-Revised (SCL-90-R), or the Patient Health Questionnaire (PHQ-9)—were specifically engineered to track the severity, frequency, and syndromal manifestations of mental illness. However, the conceptual absence of depressive, anxious, or somatoform distress does not equate to flourishing, thriving, or possessing robust adaptive coping mechanisms. The primary purpose of the Positive Mental Health Scale (PMH-scale) is to operationalize, assess, and monitor affirmative psychological health as a freestanding, non-redundant construct that exists concurrently with or independently of psychiatric illness.

The PMH-scale addresses several fundamental psychometric and clinical needs:

• Routine Outcome Monitoring (ROM): In clinical psychology and psychiatric rehabilitation, therapeutic efficacy has historically been defined by symptomatic reduction. The PMH-scale allows clinicians to assess whether therapeutic interventions successfully foster subjective happiness, vitality, autonomous self-care, and problem-solving capacities, reflecting holistic recovery rather than mere symptom remission.
• Epidemiological and Public Health Surveillance: The brief nine-item design enables large-scale population surveys to capture emotional, psychological, and social well-being indicators without inflating participant burden or survey attrition rates.
• Differential Diagnostic Stratification: By integrating the PMH-scale alongside psychopathology measures, researchers can implement Corey Keyes’ two-continua framework, categorizing populations into four quadrants: flourishing (low psychopathology, high PMH), languishing (low psychopathology, low PMH), struggling (high psychopathology, high PMH), or floundering (high psychopathology, low PMH).
• Prevention and Occupational Health: Positive mental health acts as an empirical buffer against job burnout, secondary traumatic stress, and chronic work-related exhaustion. Organizations employ the scale to benchmark psychological capital and evaluate wellness interventions.

By balancing economy of administration with psychometric robustness, the PMH-scale provides an efficient diagnostic and research vehicle across both community and psychiatric environments.

5. Psychological Construct

The psychological construct assessed by the PMH-scale is generalized Positive Mental Health (PMH). PMH represents an integrated, multidimensional constellation of psychological resources, subjective well-being, and adaptive emotional functioning that coalesces into a coherent, overarching latent factor. While the PMH-scale is psychometrically unidimensional, its items capture three interrelated domains of affirmative psychological life:

1. Emotional and Hedonic Well-Being

Hedonic well-being encompasses subjective states of positive affect, frequent experiences of joy, cheerfulness, and global cognitive evaluations of one’s life as a whole (life satisfaction). In the PMH-scale, this domain is explicitly captured through affirmations of overall life satisfaction (Item 1), affective enjoyment and happiness (Item 4), and humor and cheerfulness (Item 8: “I am a person who can laugh easily”). Emotional well-being indicates the presence of positive emotions rather than merely low negative affect, reflecting Barbara Fredrickson’s broaden-and-build mechanism of affective positivity.

2. Psychological Well-Being and Eudaimonia

Drawing upon Carol Ryff’s and Edward Deci and Richard Ryan’s conceptual models, eudaimonic functioning involves self-realization, psychological autonomy, environmental mastery, and stress coping. The PMH-scale assesses these psychological resources through internal agency, equilibrium, and adaptive coping:

• Equilibrium and Emotional Regulation: Represented by Item 6 (“I am a calm, balanced person”), reflecting internal emotional stability, distress tolerance, and autonomous self-regulation.
• Self-Efficacy and Problem-Solving Competence: Operationalized through Item 3 (“I feel that I am actually well equipped to deal with life and its difficulties”) and Item 7 (“When I am facing a difficult situation, I usually know what to do”). These tap into Bandura’s generalized self-efficacy and perceived personal competence under adversity.
• Healthy Autonomy and Self-Care: Reflected in Item 2 (“Even if the well-being of others is very important to me, I also think of myself”). This item captures non-pathological altruism balanced with healthy individuation and boundaries, preventing psychological depletion.

3. Somatopsychic Vitality and Energy

Positive mental health is intrinsically embodied. High positive psychological functioning manifests in physiological drive, perceived physical vigor, and restorative bodily health. The PMH-scale taps into this bodily-mind interface through Item 5 (“I am in good physical condition”) and Item 9 (“Overall, I am full of energy”). This reflects subjective vitality—defined as the conscious experience of having energy available to the self—which serves as an indispensable reservoir for adaptive behavioral execution.

6. Theoretical Framework

The PMH-scale is conceptually anchored within several foundational theories in clinical psychology, personality science, and health psychology:

The Dual-Continua Model of Mental Health

Foremost among the PMH-scale’s theoretical underpinnings is Corey Keyes’ Dual-Continua Model. Keyes postulated that mental illness and mental health do not represent polar endpoints of a single continuum. Rather, they constitute two distinct, correlated yet independent continua. An individual may experience substantial psychiatric distress (e.g., an episodic mood disorder or generalized anxiety) while concurrently retaining adaptive coping strategies, interpersonal intimacy, and purposeful orientation. Conversely, the complete absence of DSM-defined psychopathology does not ensure flourishing; individuals free of disorder may experience profound languishing characterized by emptiness, lack of purpose, and anhedonia. The PMH-scale provides the explicit measurement metric for the positive continuum.

The Salutogenic Paradigm

Originating from the seminal work of Aaron Antonovsky, salutogenesis focuses on the origins of health and the factors that support human resilience rather than the pathogenesis of disease. Central to salutogenesis is the Sense of Coherence (SOC)—the perception that life stressors are comprehensible, manageable, and meaningful. Several PMH items directly mirror manageability and meaningfulness (e.g., Items 3 and 7). Lukat et al. integrated salutogenic thinking by framing human experience through positive resources that maintain psychological equilibrium even in adverse environments.

The Broaden-and-Build Theory of Positive Emotions

Formulated by Barbara Fredrickson, the broaden-and-build theory posits that discrete positive emotions (e.g., joy, interest, contentment, laughter) broaden individuals’ momentary thought-action repertoires and build enduring physical, intellectual, social, and psychological resources. Items tapping cheerfulness, laughter (Item 8), and general happiness (Item 4) capture this broadening process, which counteracts psychological narrowing induced by threat and stress.

Bandura’s Self-Efficacy Theory

Albert Bandura’s concept of perceived self-efficacy—the belief in one’s capability to organize and execute actions required to manage prospective situations—serves as a core cognitive substrate within the PMH-scale. When individuals perceive themselves as competent to navigate challenges (Item 3) and execute decisive problem-solving (Item 7), cognitive appraisals of external threats are shifted toward challenges, diminishing physiological distress and elevating subjective well-being.

7. Validity

The PMH-scale has undergone rigorous psychometric validation across thousands of participants in clinical, community, and student cohorts (Lukat et al., 2016; Bieda et al., 2017; Margraf et al., 2020).

Construct and Factorial Validity

Extensive exploratory and confirmatory factor analyses establish that the PMH-scale forms a clear, parsimonious single-factor construct. Item loadings on this solitary latent factor are universally strong, typically ranging from λ = .60 to .85. The single-factor model exhibits excellent fit statistics across diverse populations, verifying structural construct validity across diverse demographic segments.

Convergent Validity

The PMH-scale correlates strongly and positively with other validated instruments assessing related psychological constructs:

• Satisfaction with Life: High positive correlations with the Satisfaction with Life Scale (SWLS), typically observed between r = .68 and r = .78.
• Subjective Happiness: Robust positive associations with the Subjective Happiness Scale (SHS) (r ≈ .70 to .75).
• Resilience: Moderate-to-high correlations with the Connor-Davidson Resilience Scale (CD-RISC) and the Brief Resilience Scale (BRS) (r = .55 to .69).
• Generalized Self-Efficacy: Marked positive correlations with the General Self-Efficacy Scale (GSE) (r = .58 to .67).
• Optimism: Positive associations with the Life Orientation Test-Revised (LOT-R) (r = .52 to .64).

Discriminant and Incremental Validity

Discriminant validity has been firmly demonstrated through negative correlations with established psychopathological inventories:

• Depressive Symptoms: Consistently negative correlations with the Beck Depression Inventory-II (BDI-II) and PHQ-9, ranging from r = -.55 to r = -.72.
• Anxiety Symptoms: Negative correlations with the Beck Anxiety Inventory (BAI) and GAD-7 (r = -.42 to r = -.56).
• Perceived Stress: Moderate-to-strong inverse associations with the Perceived Stress Scale (PSS-10) (r = -.52 to r = -.65).

Crucially, longitudinal modeling has confirmed incremental predictive validity: baseline scores on the PMH-scale predict subsequent remission from major depression and generalized anxiety disorder, as well as lower rates of relapse, above and beyond the predictive power of baseline depression or anxiety scores alone.

8. Reliability

The psychometric evaluation of the PMH-scale demonstrates exceptional internal consistency, temporal stability, and measurement precision across independent cohorts.

Internal Consistency

Despite consisting of only 9 items, the PMH-scale achieves uniformly high internal consistency estimates:

• Cronbach’s Alpha (α): In the initial validation study by Lukat et al. (2016), Cronbach’s alpha was evaluated across multiple distinct samples: a representative German population sample (α = .93), a student sample (α = .88), and a large clinical inpatient and outpatient sample (α = .91). Subsequent international replications (e.g., in Russian, Chinese, Italian, and US samples) report alpha values stably distributed between α = .84 and α = .93.
• McDonald’s Omega (ω): Under modern psychometric frameworks where tau-equivalence cannot be assumed, McDonald’s categorical or hierarchical omega values consistently equal or exceed ω = .90, demonstrating that the scale scores reflect true variance of a single construct without substantial item-specific residual contamination.
• Mean Inter-Item Correlation: Inter-item correlations cluster homogeneously within the optimal range of r = .42 to .58, demonstrating high coherence without redundant item content.

Test-Retest Reliability (Temporal Stability)

The stability of the PMH-scale has been evaluated across multiple time intervals:

• Short-term Stability (1 to 2 weeks): In non-interventional stability cohorts, test-retest correlations are high, ranging between r_tt = .81 and r_tt = .85, indicating that the instrument captures stable psychological states rather than transient momentary mood swings.
• Medium-to-Long-term Stability (3 to 12 months): Across extended multi-wave longitudinal surveys, stability coefficients remain solid (r_tt = .65 to .74), consistent with the theoretical premise that positive mental health represents an enduring psychological disposition subject to gradual change or therapeutic intervention.

9. Factor Analysis

The latent dimensionality of the PMH-scale has been subjected to rigorous exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and multi-group measurement invariance testing across diverse population parameters.

Exploratory Factor Analysis (EFA)

During initial scale development (Lukat et al., 2016), principal component analysis and maximum likelihood factor analyses applied to an initial pool of items consistently yielded an unequivocal single-factor solution. Scree plot tests, parallel analyses, and eigenvalues clearly pointed toward unidimensionality, with the primary eigenvalue markedly exceeding secondary components (eigenvalue 1 > 5.0, eigenvalue 2 < 0.85), accounting for over 50% to 60% of the total variance.

Confirmatory Factor Analysis (CFA)

CFA models specifying a strict unidimensional construct have demonstrated exceptional goodness-of-fit indices across both general population and clinical samples:

• Comparative Fit Index (CFI): Routinely observed values range between .96 and .99 (with CFI ≥ .95 indicating superior fit).
• Tucker-Lewis Index (TLI): Typically ranges from .95 to .98.
• Root Mean Square Error of Approximation (RMSEA): Estimates consistently fall between .038 and .062 (with 90% confidence intervals below .08), indicating low approximation error.
• Standardized Root Mean Square Residual (SRMR): Values consistently remain below .035.

All standardized factor loadings (λ) are statistically significant (p < .001). Representative factor loadings observed across published validation samples are structured as follows:

• Item 1 (Life satisfaction): λ = .78 – .84
• Item 2 (Self-care and autonomy): λ = .55 – .65
• Item 3 (Equipped for difficulties): λ = .74 – .82
• Item 4 (Enjoyment and happiness): λ = .79 – .85
• Item 5 (Physical condition): λ = .58 – .68
• Item 6 (Calm and balanced): λ = .72 – .80
• Item 7 (Knowing what to do): λ = .70 – .79
• Item 8 (Laugh easily): λ = .66 – .76
• Item 9 (Full of energy): λ = .75 – .83

Measurement Invariance

Multigroup confirmatory factor analyses (MGCFA) have confirmed metric (weak), scalar (strong), and residual (strict) measurement invariance across gender groups, broad age strata (adolescents, young adults, middle-aged, and elderly cohorts), cross-cultural samples (German, Dutch, Chinese, Russian, and North American cohorts), and clinical versus healthy non-clinical populations. Scalar invariance allows researchers to compare latent and manifest mean scores across these sub-groups directly without measurement bias.

10. Instrument / Measurement Tool

• Test Name: Positive Mental Health Scale (PMH-scale)
• Original Language: German (Skala zur Erfassung Positiver Psychischer Gesundheit)
• Validated Translations: English, Chinese, Russian, Italian, Spanish, French, Polish
• Administration Format: Self-administered paper-and-pencil questionnaire, digital survey / online psychological testing, or clinician-supervised rating
• Target Population: Adolescents (ages 14+) and adults across general, community, student, occupational, and psychiatric clinical populations
• Completion Time: Approximately 1 to 2 minutes
• Number of Items: 9 items
• Dimensionality: Unidimensional (Single global Positive Mental Health score)
• Response Format: 4-point Likert scale: 0 = do not agree, 1 = tend not to agree, 2 = tend to agree, 3 = agree (in some versions formatted as 1 to 4)
• Scoring and Reverse Scoring:
  • All items are positively formulated and scored directly (no reverse-scored items).
  • A total score is calculated by summing the responses across all 9 items (ranging from 0 to 27 or 9 to 36 depending on the coding).
  • Higher scores indicate higher levels of positive mental health.
  • Alternatively, a mean score can be derived by dividing the sum by 9 (mean item score range 0.00 to 3.00 or 1.00 to 4.00).

11. Permissions & Fee and Test Year

• Initial Publication Year: 2016 (primary peer-reviewed psychometric validation published by Lukat, Margraf, Lutz, van der Veld, & Becker in Psychological Assessment; early developmental working versions circulated from 2009 onward).
• Copyright & Ownership: Intellectual copyright belongs to the authors (Jan Lukat, Jürgen Margraf, Rainer Lutz, William M. van der Veld, and Eni S. Becker) and Ruhr-Universität Bochum.
• Permissions & Accessibility: The PMH-scale is an open-access psychometric instrument. It is made freely available for non-commercial scientific research, academic inquiry, educational training, and routine non-commercial clinical practice.
• Commercial Use: Any commercial implementation, commercial corporate software integration, or profit-generating consultancy use requires formal written authorization and licensing agreements from the primary copyright holders at Ruhr-Universität Bochum.
• Contact and Repository Access: Researchers may consult the Mental Health Research and Treatment Center at Ruhr-Universität Bochum or access the scale via open repositories such as Ruhr-Universität Bochum Faculty of Psychology.

12. References

• Antonovsky, A. (1987). Unraveling the mystery of health: How people manage stress and stay well. Jossey-Bass.
• Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company.
• Bieda, A., Hirschfeld, G., Schönfeld, P., Brailovskaia, J., Zhang, X. C., & Margraf, J. (2017). Universal happiness? Cross-cultural measurement invariance of scales assessing positive mental health. Psychological Assessment, 29(4), 408–421. https://doi.org/10.1037/pas0000353
• Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The Satisfaction With Life Scale. Journal of Personality Assessment, 49(1), 71–75. https://doi.org/10.1207/s15327752jpa4901_13
• Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226. https://doi.org/10.1037/0003-066X.56.3.218
• Keyes, C. L. M. (2002). The mental health continuum: From languishing to flourishing in life. Journal of Health and Social Behavior, 43(2), 207–222. https://doi.org/10.2307/3090197
• Lukat, J., Margraf, J., Lutz, R., van der Veld, W. M., & Becker, E. S. (2016). Psychometric properties of the Positive Mental Health Scale (PMH-scale). Psychological Assessment, 28(2), e1–e11. https://doi.org/10.1037/pas0000248
• Margraf, J., Lavallee, K., Zhang, X. C., & Schneider, S. (2020). Social rhythm and mental health: A prospective longitudinal study in young adults. PLOS ONE, 15(3), e0230781. https://doi.org/10.1371/journal.pone.0230781
• Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology, 57(6), 1069–1081. https://doi.org/10.1037/0022-3514.57.6.1069
• Seligman, M. E. P. (2011). Flourish: A visionary new understanding of happiness and well-being. Free Press.

13. Items of the Scale