Five-Factor PERMA Profiler – Amharic Version

1. Abstract

The Five-Factor PERMA Profiler – Amharic Version is a psychometrically validated adaptation of the multidimensional well-being instrument originally conceptualized by Martin Seligman and operationalized by Butler and Kern (2016). Developed by Girum Tareke Zewude and Mária Hercz, this instrument was tailored and validated specifically to assess positive psychological functioning and workplace flourishing among university instructors within Ethiopian higher education institutions. The scale operationalizes flourishing across five distinct yet interconnected pillars of well-being: Positive Emotion (P), Engagement (E), Positive Relationships (R), Meaning in Life (M), and Accomplishment (A). Comprising 15 core items distributed evenly across the five theoretical domains (three items per factor), the scale utilizes an 11-point continuous rating scale ranging from 0 to 10 with context-specific semantic anchors (e.g., never to always; not at all to completely).

Psychometric evaluations demonstrate exceptional measurement properties. Internal consistency and composite reliability indices across all five dimensions are exceptionally robust: Positive Emotion (α = .96, CR = .96), Engagement (α = .95, CR = .95), Positive Relationships (α = .95, CR = .95), Meaning in Life (α = .93, CR = .93), and Accomplishment (α = .95, CR = .95). Construct validity was substantiated via extensive factor analytic testing, where the five-factor correlated model demonstrated superior fit (χ²(90) = 299.135, p < .001, CFI = .987, TLI = .983, RMSEA = .056, 90% CI [.050, .063]) compared to alternative structural specifications, such as the single-factor model, which exhibited poor structural fit. Convergent validity was affirmed through average variance extracted (AVE) values ranging from .81 to .90, which consistently exceeded maximum shared squared variance (MSV) estimates ranging from .58 to .70, confirming robust discriminant validity. External validity testing confirmed significant positive associations with general psychological well-being and life satisfaction, alongside theoretically consistent negative correlations with depressive symptoms, generalized anxiety, and loneliness. Consequently, the Amharic PERMA Profiler serves as a culturally adapted, psychometrically sound instrument for academic research, occupational health monitoring, and institutional well-being diagnostics in Sub-Saharan African contexts.

2. Keywords

PERMA profiler, Amharic adaptation, subjective well-being, psychological flourishing, positive psychology, higher education, psychometric validation, confirmatory factor analysis, measurement invariance, occupational health

3. Authors

The adaptation, psychometric evaluation, and cross-cultural validation of the Five-Factor PERMA Profiler into Amharic were conducted by:

• Girum Tareke Zewude — Doctoral School of Education, University of Szeged, Szeged, Hungary. (Primary Contact: [email protected])
• Mária Hercz — Institute of Education, University of Szeged, Szeged, Hungary.

The original theoretical architecture of the PERMA model was established by Martin E. P. Seligman (2011) at the University of Pennsylvania, with the initial psychometric operationalization of the PERMA-Profiler developed by J. Butler and Margaret L. Kern (2016).

4. Purpose

The overarching purpose of the Amharic Five-Factor PERMA Profiler is to provide a linguistically accurate, culturally attuned, and structurally validated diagnostic tool designed to measure multi-component subjective and psychological well-being among Amharic-speaking populations. Developed with an initial focus on university academic personnel in Ethiopia, the instrument addresses a critical gap in the psychometric literature: the scarcity of rigorously standardized positive psychology assessments within East African linguistic and cultural landscapes. While mainstream organizational and clinical psychology has historically focused on the remediation of psychological distress, burnout, depressive pathology, and occupational strain, contemporary organizational scholarship emphasizes the proactive promotion of human flourishing, vitality, and workplace thriving.

Clinical, Occupational, and Institutional Applications

Within higher education environments, university instructors face unique structural stressors, including excessive teaching loads, research productivity demands, institutional governance transformations, and socioeconomic resource constraints. The Amharic PERMA Profiler provides educational administrators, occupational psychologists, and institutional policymakers with an empirical mechanism to:

• Assess baseline levels of occupational flourishing and psychological vitality across academic faculties.
• Identify specific psychological deficits (e.g., low professional accomplishment versus diminished institutional meaning) to inform targeted institutional well-being interventions.
• Evaluate the longitudinal efficacy of faculty development initiatives, mentorship systems, and workplace wellness programs.
• Distinguish between the presence of positive mental health and the mere absence of psychological distress, facilitating comprehensive mental health audits.

Research Applications and Cross-Cultural Epistemology

In empirical research, the tool enables cross-cultural comparative analyses regarding the universal versus culture-specific mechanisms of subjective well-being. By translating and psychometrically validating Seligman’s Western-derived model into Amharic—the principal working language of Ethiopia—researchers can investigate whether the five-factor multidimensional architecture maintains functional, metric, and scalar equivalence across diverse socioeconomic realities. Moreover, it empowers researchers to model path relations among occupational autonomy, transformational leadership, academic performance, and multidimensional flourishing.

5. Psychological Construct

The PERMA Profiler operationalizes the construct of well-being not as a static, unidimensional affective state (such as mere happiness), but as a dynamic, multidimensional constellation of five distinct, measurable pillars that intrinsically motivate human action. Each dimension captures an essential facet of human optimal functioning:

Positive Emotion (P)

Positive emotion refers to the subjective frequency and intensity of positive affective states, including joy, contentment, optimism, and cheerfulness. Rather than reflecting hedonistic pleasure alone, this construct embodies the “broaden-and-build” affective resources that enhance cognitive flexibility, social connectedness, and coping resilience. In the Amharic PERMA Profiler, this subscale captures an individual’s global tendency to experience positive moods, joyfulness, and contentment in everyday life (e.g., evaluating how often one feels joyful, positive, or contented).

Engagement (E)

Rooted in Mihaly Csikszentmihalyi’s theory of flow, engagement represents the psychological state of deep absorption, focused attention, and intrinsic involvement in activities. When individuals experience high engagement, their cognitive and emotional resources are fully deployed, often leading to a loss of self-consciousness and a distorted perception of time. In the workplace, high engagement reflects an academic professional’s deep immersion in teaching, intellectual inquiry, and pedagogical problem-solving (e.g., losing track of time while pursuing compelling intellectual work or feeling deeply absorbed in vocational tasks).

Positive Relationships (R)

Human beings possess an evolutionary need for social belonging, interpersonal intimacy, and communal integration. The positive relationships dimension captures the perception of being valued, loved, supported, and integrated within a reciprocal social network. This construct encompasses both the subjective availability of emotional and instrumental social support during times of crisis and the qualitative satisfaction derived from mutual interpersonal bonds with colleagues, friends, and family members.

Meaning in Life (M)

Meaning pertains to the subjective conviction that one’s life possesses coherence, significance, and purpose, transcending immediate personal gratification to serve a higher cause. Derived from eudaimonic traditions, meaning involves viewing one’s occupational and personal endeavors as valuable, purposeful, and directed toward meaningful ends. For educators, this reflects the belief that scholarly dissemination and student mentorship contribute meaningfully to societal progress and ethical life goals.

Accomplishment (A)

Accomplishment (or achievement) encompasses the subjective pursuit of mastery, competence, goal progression, and personal attainment. It addresses both objective progress toward explicit career or personal objectives and the internal psychological feeling of efficacy, capability, and responsibility fulfillment. This dimension evaluates an individual’s capacity to set, work toward, and realize significant life goals while successfully executing complex professional demands.

6. Theoretical Framework

The theoretical bedrock of the PERMA Profiler rests upon Martin E. P. Seligman’s well-being theory, articulated in his seminal work Flourish: A Visionary New Understanding of Happiness and Well-being (2011). Seligman formulated the PERMA framework as a conceptual evolution of his earlier Authentic Happiness theory (2002), which had posited three elements: positive emotion (the pleasant life), engagement (the good life), and meaning (the meaningful life). Recognizing the limitations of Authentic Happiness theory—specifically its over-reliance on subjective happiness as a single focal outcome—Seligman introduced well-being theory, redefining the core topic of positive psychology from happiness to flourishing.

Foundational Postulates of Seligman’s Well-Being Theory

Seligman established three definitive criteria that every constituent element of flourishing must fulfill:

1. Intrinsic Contribution: It must contribute directly to human well-being in its own right, rather than serving solely as a proxy or stepping stone for another element.
2. Autonomous Pursuit: Many individuals must pursue the element for its own sake, rather than pursuing it exclusively to obtain one of the other elements.
3. Operational Independence: It must be conceptually and operationally distinguishable from the other four dimensions, permitting independent definition and psychometric measurement.

Under this architecture, well-being is not a physical entity that can be measured directly through a single operational metric; instead, it is an abstract, multidimensional construct akin to “weather” or “socioeconomic status.” Just as weather is indicated by temperature, humidity, precipitation, and wind speed, flourishing is jointly indicated by positive emotion, engagement, relationships, meaning, and accomplishment. The theoretical model assumes that each factor represents a discrete vector of human flourishing, yet they often reinforce one another synergistically in supportive psychosocial environments.

Cross-Cultural Adaptations and Ecological Validity

In adapting this model to the Ethiopian higher education landscape, Zewude and Hercz (2022) situated Seligman’s framework within cultural psychology paradigms. Collectivistic and developing societal settings often experience unique dynamics where relational interdependence, communal support systems, and spiritual-existential meaning may interact differently with personal achievement compared to Western individualistic settings. Thus, validating whether the five-factor theoretical configuration remains invariant across distinct socio-demographic contexts constitutes an empirical test of the universal applicability of Seligman’s multidimensional theory.

7. Validity

The psychometric validity of the Amharic PERMA Profiler was systematically evaluated through construct, convergent, discriminant, and concurrent validity analyses within a representative sample of university instructors in Ethiopia.

Factorial and Construct Validity

Construct validity was initially verified through tests of sampling adequacy. Bartlett’s test of sphericity yielded highly significant results (χ²(105) = 3425.940, p < .001), indicating that the correlation matrix was non-identity and appropriately structured for factor extraction. Standardized factor loadings across all 15 observed indicators onto their designated latent constructs were high, exceeding standard psychometric thresholds (ranging from .72 to .94 across subscales).

Convergent and Discriminant Validity

Convergent validity was quantitatively evaluated using the Average Variance Extracted (AVE) criterion, which determines whether the variance captured by a latent construct exceeds variance due to measurement error. Discriminant validity was evaluated using the Fornell-Larcker criterion, which requires that a latent construct’s AVE exceed its Maximum Shared Squared Variance (MSV) with any other latent construct:

• Positive Emotion: AVE = 0.90 > MSV = 0.70
• Engagement: AVE = 0.87 > MSV = 0.58
• Positive Relationships: AVE = 0.87 > MSV = 0.65
• Meaning in Life: AVE = 0.81 > MSV = 0.69
• Accomplishment: AVE = 0.87 > MSV = 0.70

Because every subconstruct demonstrated an AVE well above the conventional .50 benchmark, and because all AVE values exceeded their corresponding MSV estimates, the Amharic PERMA Profiler confirmed both convergent and discriminant validity.

External Criterion-Related Validity

Criterion validity was established by correlating the PERMA dimensions with established external measures of psychological functioning, affective well-being, and psychopathology:

• Positive Constructs (Convergent Validity): The overall PERMA model demonstrated statistically significant positive correlations with Ryff’s Psychological Well-Being Scale (PWBS; r = .190, p < .01) and the Satisfaction with Life Scale (SWLS; r = .134, p < .01). While modest, these correlations support the theoretical distinction between eudaimonic flourishing as operationalized by PERMA and general life satisfaction or global psychological functioning.
• Negative Constructs (Divergent Validity): The PERMA composite and subscales demonstrated statistically significant inverse correlations with negative psychological states: Depression (r = -.264 to -.255, p < .01), Anxiety (r = -.215 to -.248, p < .01), and Loneliness (r = -.179 to -.228, p < .01). These negative correlations substantiate that individuals experiencing higher multidimensional flourishing simultaneously report lower symptom levels of affective distress and social isolation.

8. Reliability

The internal consistency and composite reliability of the Amharic Five-Factor PERMA Profiler were assessed using classical test theory and structural equation modeling parameters. Across all five subscales, the instrument exhibited exceptionally high reliability coefficients, well exceeding the recognized psychometric benchmark of .70 for research instruments and .90 for clinical-grade diagnostic tools:

• Positive Emotion (P): Cronbach’s alpha (α) = .96; Composite Reliability (CR) = .96
• Engagement (E): Cronbach’s alpha (α) = .95; Composite Reliability (CR) = .95
• Positive Relationships (R): Cronbach’s alpha (α) = .95; Composite Reliability (CR) = .95
• Meaning in Life (M): Cronbach’s alpha (α) = .93; Composite Reliability (CR) = .93
• Accomplishment (A): Cronbach’s alpha (α) = .95; Composite Reliability (CR) = .95

These findings demonstrate that the Amharic adaptation maintains minimal measurement error and high item covariance within each specific pillar. Furthermore, the convergence between Cronbach’s alpha and composite reliability confirms that the assumption of tau-equivalence did not artificially inflate internal consistency estimates, affirming the scale’s structural stability across academic cohorts.

9. Factor Analysis

To ascertain the latent structure of the Amharic PERMA Profiler, researchers carried out single-group and multi-group confirmatory factor analyses (CFA), systematically comparing four competing structural models: a single-factor unidimensional model, a five-factor correlated model, a higher-order factor model, and a bifactor model.

Structural Model Comparisons and Goodness-of-Fit

Model fit evaluation was conducted using standard structural equation modeling indices, including the Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Chi-Square to degrees-of-freedom ratio:

• Single-Factor Model: Exhibited unacceptable fit across all diagnostic indices (χ²(104) = 4166.65, p < .001, CFI = .759, TLI = .719, RMSEA = .161, 90% CI [.155, .167]). This failure confirmed that human flourishing cannot be conceptualized as an undifferentiated, single latent trait.
• Five-Factor Correlated Model: Yielded the best empirical fit to the data (χ²(90) = 299.135, p < .001, CFI = .987, TLI = .983, RMSEA = .056, 90% CI [.050, .063]). Standardized item loadings were strong across all 15 indicators. Inter-scale latent correlations ranged from .71 to .81, indicating strong, theoretically coherent relationships among distinct pillars.
• Higher-Order Model: Demonstrated excellent goodness-of-fit (χ²(85) = 338.262, p < .001, CFI = .985, TLI = .981, RMSEA = .059, 90% CI [.052, .066]), supporting the conceptualization of an overarching “flourishing” construct that accounts for the covariance among the five first-order factors.
• Bi-Factor Model: Also achieved strong fit (χ²(75) = 306.412, p < .001, CFI = .986, TLI = .981, RMSEA = .060, 90% CI [.053, .067]), though standardized factor loadings on the general flourishing factor were noticeably lower (ranging from .72 to .88) compared to the specific factors.

Consistent with Seligman’s theoretical framework and international validation studies (e.g., Butler & Kern, 2016; Wammerl et al., 2019), the five-factor correlated model was selected as the optimal representation of the data, demonstrating that the Amharic translation preserves the multidimensional integrity of the original instrument.

10. Instrument / Measurement Tool

• Name of Tool: Five-Factor PERMA Profiler – Amharic Version
• Construct Assessed: Multidimensional Subjective and Psychological Flourishing
• Theoretical Framework: Seligman’s Well-Being Theory (2011)
• Target Population: Adults, higher education faculty, university instructors, and general Amharic-speaking working populations
• Administration Format: Self-report paper-and-pencil questionnaire or computerized survey
• Total Number of Items: 15 items (comprising 5 subscales with 3 items per factor)
• Subscale Breakdown:
  • Positive Emotion: Items P1, P2, P3
  • Engagement: Items E1, E2, E3
  • Positive Relationships: Items R1, R2, R3
  • Meaning in Life: Items M1, M2, M3
  • Accomplishment: Items A1, A2, A3
• Response Scale: 11-point continuous numerical rating scale (0 to 10), arranged in blocks with contextual verbal anchors:
  • Block 1: 0 = “Never” (“u1260u132du122bu123d”) to 10 = “Always” (“u1201u120du130au12da”)
  • Block 2: 0 = “Not at all” (“u1260u132du122bu123d”) to 10 = “Completely” (“u1219u1209 u1260u1219u1209”)
  • Block 3: 0 = “Never” (“u1260u132du122bu123d”) to 10 = “Always” (“u1201u120du130au12da”)
  • Block 4: 0 = “Not at all” (“u1260u132du122bu123d”) to 10 = “Completely” (“u1219u1209 u1260u1219u1209”)
• Scoring Protocol:
  • Each subscale score is computed by calculating the arithmetic mean of its three constituent items:
  • Positive Emotion Mean Score: (P1 + P2 + P3) / 3
  • Engagement Mean Score: (E1 + E2 + E3) / 3
  • Relationships Mean Score: (R1 + R2 + R3) / 3
  • Meaning Mean Score: (M1 + M2 + M3) / 3
  • Accomplishment Mean Score: (A1 + A2 + A3) / 3
  • An overall flourishing composite index can also be calculated as the grand mean across all 15 items: Σ(All 15 Items) / 15.
  • Higher scores (closer to 10) reflect greater psychological flourishing within that specific domain.

11. Permissions & Fee and Test Year

Year of Publication: The psychometric validation and measurement invariance study of the Amharic PERMA Profiler was published in 2022 (Pedagogika, Vol. 146, Issue 2, pp. 209–236). The initial development and formal release occurred in July 2023.

Permissions & Usage Policy: In alignment with open science initiatives in positive psychology, the Amharic PERMA Profiler is an open-access psychometric instrument available free of charge for non-commercial academic research, pedagogical evaluation, and non-profit educational purposes. Researchers and practitioners utilizing the instrument are required to cite the original validation study by Zewude and Hercz (2022) as well as the foundational profiler development publication by Butler and Kern (2016). Commercial applications, incorporation into for-profit digital platforms, or organizational consulting packages require explicit formal permission from the adapting authors.

12. References

Butler, J., & Kern, M. L. (2016). The PERMA-Profiler: A brief multidimensional measure of flourishing. International Journal of Wellbeing, 6(3), 1–48. https://doi.org/10.5502/ijw.v6i3.526

Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.

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

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. (2002). Authentic happiness: Using the new positive psychology to realize your potential for lasting fulfillment. Free Press.

Seligman, M. E. P. (2011). Flourish: A visionary new understanding of happiness and well-being. Free Press.

Wammerl, M., Jaunig, J., Bleser, G., Shammas, L., & Ebner, C. (2019). The German version of the PERMA-Profiler: Psychometric properties and adaptations. Journal of Well-Being Assessment, 3(2), 115–135. https://doi.org/10.1007/s41543-019-00021-z

Zewude, G. T., & Hercz, M. (2022). Psychometric properties and measurement invariance of the PERMA Profiler in an Ethiopian higher education setting. Pedagogika, 146(2), 209–236. https://doi.org/10.15823/p.2022.146.11

13. Items of the Scale