Positive Mental Health Scale (PMH-scale)

1. Abstract

The Positive Mental Health Scale (PMH-scale) is a brief, unidimensional psychometric instrument developed to assess positive mental health as an autonomous construct distinct from the mere absence of psychopathology, psychiatric symptoms, or mental illness. Conceptualized within the dual-continua model of mental health, the instrument captures psychological, emotional, and social well-being across a concise set of nine self-report items. Administered via a 4-point Likert-type scale ranging from 0 (“do not agree”) to 3 (“agree”)—or alternatively formatted as 1 to 4—the PMH-scale generates a summary score that reflects individual emotional vitality, self-efficacy, positive relationships, and psychological resilience. Empirical investigations across diverse samples, including general community cohorts, university students, and clinical populations, have established exceptional psychometric robustness. The PMH-scale demonstrates high internal consistency (Cronbach’s α ranging between .84 and .93; McDonald’s ω > .90) and stable test-retest reliability across intervals ranging from two weeks to one year. Confirmatory factor analytic investigations consistently support a parsimonious, unidimensional factor structure displaying strict measurement invariance across gender, age brackets, cultural contexts, and clinical status. Furthermore, the scale demonstrates rigorous convergent validity through substantial positive correlations with subjective happiness, life satisfaction, generalized self-efficacy, and optimism, alongside robust discriminant validity via negative associations with depressive symptomatology, generalized anxiety, stress, and somatization. By providing a low-burden, psychometrically sound appraisal of salutogenic resources, the PMH-scale serves as a crucial complementary tool in epidemiology, public health surveillance, psychiatric assessment, and therapeutic outcome monitoring.

2. Keywords

Positive Mental Health Scale, PMH-scale, dual-continua model, psychological well-being, salutogenesis, subjective well-being, psychometrics, unidimensionality, mental health assessment, self-efficacy, positive psychology, eudaimonia, hedonia.

3. Authors

The Positive Mental Health Scale was conceptualized, operationalized, and psychometrically validated by an interdisciplinary team of clinical psychologists and methodology researchers affiliated with the Mental Health Research and Treatment Center at Ruhr-Universität Bochum, Germany:

• Jan Lukat, Ph.D. — Mental Health Research and Treatment Center, Faculty of Psychology, Ruhr-Universität Bochum, Bochum, Germany.
• Jürgen Margraf, Ph.D. — Alexander von Humboldt Professor of Clinical Psychology and Psychotherapy, Mental Health Research and Treatment Center, Ruhr-Universität Bochum, Bochum, Germany.
• Rainer Lutz, Ph.D. — Clinical Psychologist, pioneer of eudaimonic behavior therapy and enjoyment therapies, Department of Psychology, Philipps-Universität Marburg, Marburg, Germany.
• William M. van der Veld, Ph.D. — Methodologist and Psychometrician, Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands.
• Eni S. Becker, Ph.D. — Professor of Experimental Clinical Psychology, Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands.

Correspondence regarding the foundational validation studies of the PMH-scale is traditionally addressed to Prof. Dr. Jürgen Margraf, Mental Health Research and Treatment Center, Ruhr-Universität Bochum, Massenbergstrasse 9–13, 44787 Bochum, Germany (Ruhr-Universität Bochum).

4. Purpose

For decades, mainstream psychiatric and psychological assessment remained tethered to a pathogenic paradigm wherein mental health was operationalized predominantly as the structural absence of psychopathological symptoms, neurocognitive dysfunction, or affective disturbance. However, contemporary clinical psychology and salutogenic frameworks have established that positive mental health represents an autonomous, highly structured psychological domain rather than merely the negative pole of psychological distress. The primary purpose of the Positive Mental Health Scale (PMH-scale) is to provide an efficient, psychometrically rigorous measurement instrument capable of assessing this salutogenic dimension in both clinical and non-clinical populations.

The PMH-scale was intentionally constructed to bridge the gap between extended, multi-component psychological inventories and brief clinical screening tools. While comprehensive batteries such as Ryff’s Scales of Psychological Well-Being or the Mental Health Continuum–Long Form provide exhaustive taxonomies, their administrative length often precludes implementation within large-scale epidemiologic surveys, routine medical screenings, or intensive longitudinal methodologies such as ecological momentary assessment. Conversely, single-item happiness metrics frequently suffer from elevated measurement error and diminished reliability. The PMH-scale achieves optimal administrative brevity without sacrificing construct coverage, item discrimination, or internal consistency.

From an applied perspective, the PMH-scale serves three critical functions across research and clinical domains:

• Epidemiological Monitoring: It enables population-level surveillance of protective psychological assets, resilience factors, and baseline emotional health, supporting the evaluation of public mental health initiatives and socio-environmental determinants of well-being.
• Clinical Prognosis and Treatment Tracking: Mental health interventions often yield symptom attenuation without necessarily fostering flourishing, meaning, or subjective vitality. Integrating the PMH-scale into routine therapeutic monitoring allows clinicians to evaluate whether therapeutic gains translate into authentic positive functioning and to identify patients who remain vulnerable to relapse despite subclinical distress indices.
• Mechanistic Research: The instrument facilitates the empirical investigation of dual-continua models, providing researchers with an uncontaminated measure of positive functioning to test mediation, moderation, and buffering effects against chronic physical illnesses, academic burnout, and severe psychological stressors.

5. Psychological Construct

The psychological construct evaluated by the PMH-scale is Positive Mental Health (PMH), defined as a state of emotional vitality, personal competence, psychological resilience, and constructive social functioning. Rather than dividing well-being into rigid, fragmented sub-domains, the PMH-scale captures a cohesive, global core of positive functioning that integrates both hedonic and eudaimonic elements:

Emotional Vitality and Hedonic Well-Being

Hedonia centers on the subjective experience of positive affect, life contentment, and emotional equilibrium. Within the PMH-scale, this dimension is represented by items assessing global life satisfaction (e.g., general appreciation of one’s current life trajectory), pervasive happiness, and tranquility. These markers do not merely denote an absence of depressive anhedonia; they capture active subjective vitality, emotional presence, and the recurrent capacity to experience daily pleasures even amidst everyday challenges. Individuals with elevated levels of this construct exhibit a robust emotional baseline, maintaining affective stability and subjective delight across changing environmental conditions.

Psychological Competence, Self-Efficacy, and Environmental Mastery

Drawing heavily from eudaimonic traditions, the PMH construct encompasses personal competence and perceived mastery over one’s socio-material milieu. It involves the conviction that one possesses the internal resources, adaptive coping repertoires, and behavioral strategies necessary to navigate life’s adversities. In the PMH-scale, this is operationalized through statements addressing general confidence in one’s abilities, competence in fulfilling daily obligations, and perceived efficacy in accomplishing personally meaningful objectives. It reflects an integrated sense of agency, preventing feelings of learned helplessness and promoting active, solution-focused coping mechanisms.

Relational Capacity and Social Connectedness

A vital component of flourishing involves relational warmth, empathy, and interpersonal affiliation. The construct incorporates an individual’s capacity to engage in meaningful emotional exchange, express deep affection, and sustain intimate human relationships. Positive mental health requires that individuals not only perceive themselves as recipients of social support, but actively experience themselves as capable of delivering love, empathy, and care to others. This prosocial competence anchors psychological well-being within a relational ecosystem, buffering against loneliness, interpersonal alienation, and social withdrawal.

6. Theoretical Framework

The structural design of the PMH-scale is grounded in several foundational paradigms in personality theory, humanistic psychology, and contemporary salutogenesis:

The Dual-Continua Model of Mental Health

The primary theoretical foundation of the scale is the Dual-Continua Model formulated by Corey Keyes. This model posits that psychopathology and positive mental health are not opposing poles of a single, bipolar spectrum, but rather two related yet distinct, distinct axes. An individual can simultaneously manifest moderate-to-high levels of positive psychological well-being while managing chronic psychological symptoms, just as an individual who is completely free of Axis I psychiatric diagnoses may experience low positive functioning (referred to as “languishing”). The PMH-scale was explicitly engineered to provide an uncontaminated operationalization of the positive continuum, enabling researchers to disentangle recovery from symptoms from the cultivation of true psychological flourishing.

Salutogenesis and Generalized Resistance Resources

The scale incorporates Aaron Antonovsky’s salutogenic model, which investigates the origins of health rather than the etiology of disease. Antonovsky introduced the concept of Generalized Resistance Resources (GRRs)—biological, psychological, and sociocultural characteristics that facilitate effective tension management and foster a coherent, manageable, and meaningful orientation toward reality. The PMH-scale operationalizes subjective GRRs, identifying personal optimism, everyday problem-solving efficacy, and self-acceptance as active protective buffers that counteract physiological wear and tear (allostatic load) and prevent psychological decompensation under environmental pressure.

Self-Determination Theory and Eudaimonia

The conceptual framework is further informed by Edward Deci and Richard Ryan’s Self-Determination Theory (SDT), alongside Carol Ryff’s model of psychological well-being. SDT asserts that authentic psychological flourishing occurs when three basic psychological needs are met: autonomy, competence, and relatedness. The items of the PMH-scale directly reflect these needs: competence is mirrored in confidence regarding tasks and life challenges; autonomy and environmental mastery are reflected in feeling capable of organizing daily affairs; and relatedness is mirrored in the capacity to exchange affection and experience interpersonal warmth.

7. Validity

The PMH-scale has undergone rigorous psychometric evaluation across numerous empirical investigations involving university cohorts, general representative community samples, and clinical patients:

Construct and Convergent Validity

Convergent validity has been established through strong, theoretically coherent correlations with established instruments measuring positive psychological attributes. In the primary validation studies published by Lukat et al. (2016), the PMH-scale exhibited substantial positive correlations with:

• Satisfaction with Life Scale (SWLS): Correlation coefficients typically range from r = .68 to .76, confirming robust alignment with cognitive appraisals of life satisfaction.
• Subjective Happiness Scale (SHS): Coefficients range from r = .70 to .78, supporting its sensitivity to global affective happiness.
• General Self-Efficacy Scale (GSE): Coefficients range from r = .61 to .72, confirming strong associations with perceived problem-solving competence and internal locus of control.
• Life Orientation Test-Revised (LOT-R): Moderate-to-high correlations (r = .50 to .62) confirm theoretical coherence with dispositional optimism.

Discriminant Validity

Discriminant validity has been consistently confirmed via significant negative correlations with diverse measures of distress and psychopathology. Rather than exhibiting collinearity (which would suggest the scale merely measures distress in reverse), the PMH-scale demonstrates moderate negative associations, consistent with the dual-continua hypothesis:

• Depression Anxiety Stress Scales (DASS-21): Negative correlations with Depression (r = -.55 to -.64), Anxiety (r = -.40 to -.49), and Stress (r = -.44 to -.53).
• Beck Depression Inventory (BDI-II): Significant inverse correlation (r = -.52 to -.60), illustrating that while depressed patients display lower PMH scores, substantial variance remains unaccounted for, demonstrating construct independence.
• State-Trait Anxiety Inventory (STAI): Inverse associations with trait anxiety (r = -.58 to -.66).

Criterion and Predictive Validity

Longitudinal studies demonstrate that baseline PMH-scale scores predict lower future levels of psychological distress, enhanced work productivity, decreased somatic symptom reporting, and reduced incidence of depressive episodes over follow-up periods ranging from 6 months to 2 years, even after adjusting for baseline psychopathology.

8. Reliability

The PMH-scale exhibits robust reliability metrics across diverse demographic and clinical populations:

Internal Consistency

Internal consistency metrics for the unidimensional 9-item scale are high across independent investigations:

• Cronbach’s Alpha (α): Across the initial validation samples by Lukat et al. (2016), Cronbach’s α ranged from .84 to .93 across German student cohorts, representative community samples, and clinical patients undergoing psychotherapy. International adaptations (e.g., Chinese, Russian, Polish, Turkish, and Italian translations) yield comparable estimates, consistently exceeding the .85 benchmark.
• McDonald’s Omega (ω): Estimations of hierarchical and total omega coefficients routinely surpass ω = .90, confirming high internal reliability free from the restrictive tau-equivalence assumptions associated with alpha.
• Item-Total Correlations: Corrected item-total correlations for all nine items remain consistently high, typically falling between r = .55 and .78, indicating that every individual item contributes meaningfully to the shared latent construct.

Test-Retest Stability

Temporal stability has been established across varying test intervals:

• Short-Term Stability (2 to 4 Weeks): Intraclass correlation coefficients (ICC) and Pearson’s r range between .81 and .88, confirming solid short-term reproducibility in stable environments.
• Medium-Term Stability (3 Months): Retest coefficients remain robust at approximately r = .78 to .82.
• Long-Term Stability (1 Year): Retest reliability coefficients approximate r = .70, demonstrating that the PMH-scale captures a durable psychological disposition while retaining sensitivity to genuine developmental changes and therapeutic interventions.

9. Factor Analysis

Extensive psychometric investigations employing both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) support a single, unidimensional factor structure.

Exploratory Factor Analysis (EFA)

Principal axis factoring and maximum likelihood exploratory extractions conducted during scale development revealed an unequivocal single-factor solution. Scree plot tests, Horn’s parallel analysis, and the Kaiser-Guttman criterion uniformly showed a solitary dominant eigenvalue (accounting for 50% to 65% of the total variance across samples), with all subsequent eigenvalues dropping well below 1.0. All nine items loaded substantially on this primary factor, displaying standardized factor loadings exceeding .60, with no significant cross-loadings or secondary dimensional artifacts.

Confirmatory Factor Analysis (CFA) and Model Fit

CFA has confirmed the fit of the unidimensional model across multiple independent populations. Structural equation modeling demonstrates that specifying a single latent Positive Mental Health factor accounts for the covariation among all 9 items. Typical goodness-of-fit indices reported across empirical studies include:

• Comparative Fit Index (CFI): ≥ .96 (often reaching .98 to .99).
• Tucker-Lewis Index (TLI): ≥ .95 to .98.
• Root Mean Square Error of Approximation (RMSEA): ≤ .05 to .07 (90% CI [.038, .072]).
• Standardized Root Mean Square Residual (SRMR): ≤ .03 to .04.

All standardized factor loadings (λ) are statistically significant (p < .001) and range from .62 to .85, confirming that each indicator reflects the core latent variable.

Measurement Invariance

Multi-group confirmatory factor analysis (MGCFA) has confirmed strict measurement invariance across various strata:

• Gender Invariance: Configural, metric (weak), scalar (strong), and strict (residual) invariance are maintained across male and female respondents.
• Age Invariance: Invariance holds across young adults, middle-aged individuals, and geriatric populations.
• Cross-Cultural Invariance: Cross-national investigations (comparing German, Dutch, Chinese, Russian, and American cohorts) demonstrate metric and scalar invariance, justifying mean-level cross-cultural comparisons.
• Clinical vs. Non-Clinical Invariance: Invariance has been demonstrated across healthy community groups and outpatient psychotherapy patients, verifying that the PMH construct maintains an identical structural configuration regardless of psychopathological status.

10. Instrument / Measurement Tool

• Scale Name: Positive Mental Health Scale (PMH-scale).
• Instrument Nature: Brief, self-report psychometric rating scale designed to quantify positive psychological functioning and global salutogenic health.
• Item Count: 9 positively worded items.
• Response Scale: 4-point Likert scale: 0 = do not agree, 1 = tend to disagree, 2 = tend to agree, 3 = agree (in some versions formatted as 1 = do not agree to 4 = agree).
• Scoring Architecture:
  • Reverse Scoring: None. All items are positively phrased and scored in the same direction.
  • Sum Score Calculation (0–3 format): Values are summed across the 9 items, yielding a cumulative score between 0 and 27.
  • Sum Score Calculation (1–4 format): Values are summed across the 9 items, yielding a cumulative score between 9 and 36.
  • Mean Score Calculation: Alternatively, scores can be averaged by dividing the total sum by 9, providing an interpretable metric anchored to the response options (0.00 to 3.00, or 1.00 to 4.00).
  • Interpretation: Higher numerical scores indicate higher levels of positive mental health, resilience, and personal well-being.
• Administration Modality: Paper-and-pencil self-completion, computerized survey software, or mobile ecological momentary assessment.
• Completion Duration: Approximately 1 to 2 minutes.

11. Permissions & Fee and Test Year

• Year of Publication: 2016 (psychometric development and validation published by Lukat et al.).
• Copyright & Intellectual Property: © 2016 Jan Lukat, Jürgen Margraf, Rainer Lutz, William M. van der Veld, and Eni S. Becker. The instrument was developed under academic research initiatives at Ruhr-Universität Bochum.
• Permissions and Fee: The PMH-scale is classified as an Open Access psychometric instrument for academic research, education, and non-commercial clinical practices. No royalty fees or written permissions are mandated for standard academic use, provided that proper bibliographic citation is given to the authors’ foundational validation papers. Commercial uses, pharmaceutical clinical trials, or commercial software integration require express permission from the copyright holders.

12. References

The theoretical framework, psychometric foundations, and empirical validation of the PMH-scale are documented in the following scholarly references:

• 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/pas0000246
• 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
• Antonovsky, A. (1987). Unraveling the mystery of health: How people manage stress and stay well. Jossey-Bass.
• Margraf, J., Lavallee, K., Zhang, X. C., & Schneider, S. (2016). Social resources and positive mental health: A cross-cultural study in Germany, Russia, and China. Clinical Psychology & Psychotherapy, 23(6), 551–561. https://doi.org/10.1002/cpp.1977
• 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
• Bieda, A., Hirschfeld, G., Schönfeld, P., Brailovskaia, J., Lin, M., & 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
• Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on hedonic and eudaimonic well-being. Annual Review of Psychology, 52(1), 141–166. https://doi.org/10.1146/annurev.psych.52.1.141
• Schönfeld, P., Brailovskaia, J., Bieda, A., Zhang, X. C., & Margraf, J. (2016). The effects of daily stress on positive mental health: Testing the mediating role of self-efficacy. International Journal of Clinical and Health Psychology, 16(1), 1–10. https://doi.org/10.1016/j.ijchp.2015.08.005

13. Items of the Scale