Abstract
Positive mental health is fundamental to individuals’ overall well-being, and a reliable assessment of well-being has been of concern to many researchers over the past decade. These efforts have engendered a plethora of well-being rating scales, of which the Mental Health Continuum-Short Form (MHC-SF) is a self-assessment scale measuring positive human mental functioning. In this study, we examine the inherent structure of the Korean version of the MHC-SF by testing several competing models identified in the literature. Data were collected from a sample of 252 preschool teachers working in childcare centers in South Korea. Confirmatory factor analysis (CFA) was performed to determine the structure of the MHC-SF. McDonald’s omega coefficients were used to evaluate reliability. Our results for CFA revealed that a bifactor model with a general well-being factor and three specific factors comprising the emotional, social, and psychological dimensions produced the best fit with the data. Additionally, the MHC-SF evinced excellent internal consistency. Our findings suggest that the scores of the three specific factors should not be used as the first choice when using the MHC-SF, and the MHC-SF appears to be a measure that is best seen as a single unitary construct of general well-being.
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The data that support the findings of this study are available from the corresponding author upon reasonable request. Due to privacy and ethical concerns, supporting data cannot be made openly available.
References
Bonifay, W., & Cai, L. (2017). On the complexity of item response theory models. Multivariate Behavioral Research, 52(4), 465–484. https://doi.org/10.1080/00273171.2017.1309262
Brouwer, D., Meijer, R. R., & Zevalkink, J. (2013). On the factor structure of the Beck depression inventory–II: G is the key. Psychological Assessment, 25(1), 136–145. https://doi.org/10.1037/a0029228
Chen, F. F., Jing, Y., Hayes, A., & Lee, J. M. (2013). Two concepts or two approaches? A bifactor analysis of psychological and subjective well-being. Journal of Happiness Studies, 14(3), 1033–1068.
de Bruin, G. P., & du Plessis, G. A. (2015). Bifactor analysis of the Mental Health Continuum-Short Form (MHC-SF). Psychological Reports, 116(2), 438–446. https://doi.org/10.2466/03.02.PR0.116k20w6
Diener, E. (2009). Subjective well-being. In E. Diener (Ed.), The science of well-being (pp. 11–58). Springer.
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
Doré, I., O’Loughlin, J. L., Sabiston, C. M., & Fournier, L. (2017). Psychometric evaluation of the mental health continuum–short form in French Canadian young adults. The Canadian Journal of Psychiatry, 62(4), 286–294. https://doi.org/10.1177/0706743716675855
Fan, X., & Sivo, S. A. (2007). Sensitivity of fit indices to model misspecification and model types. Multivariate Behavioural Research, 42(3), 509–529. https://doi.org/10.1080/00273170701382864
Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. https://doi.org/10.1037/1082-989X.9.4.466
Guo, C., Tomson, G., Guo, J., Li, X., Keller, C., & Soderqvist, F. (2015). Psychometric evaluation of the Mental Health Continuum-Short Form (MHC-SF) in Chinese adolescents - a methodological study. Health and Quality of Life Outcomes, 13, 198. https://doi.org/10.1186/s12955-015-0394-2
Hernández-Torrano, D., Ibrayeva, L., Muratkyzy, A., Lim, N., Nurtayev, Y., Almukhambetova, A., Clementi, A., & Sparks, J. (2021). Validation of a Kazakhstani version of the mental health continuum-short form. Frontiers in Psychology, 12, 754236. https://doi.org/10.3389/fpsyg.2021.754236
Hides, L., Quinn, C., Stoyanov, S., Cockshaw, W., Mitchell, T., & Kavanagh, D. J. (2016). Is the mental wellbeing of young Australians best represented by a single, multidimensional or bifactor model? Psychiatry Research, 241, 1–7. https://doi.org/10.1016/j.psychres.2016.04.077
Jeon, L., Buettner, C. K., & Hur, E. (2016). Preschool teachers’ professional background, process quality, and job attitudes: A person-centered approach. Early Education and Development, 27(4), 551–571. https://doi.org/10.1080/10409289.2016.1099354
Jeon, L., Buettner, C. K., & Grant, A. A. (2018). Early childhood teachers’ psychological well-being: Exploring potential predictors of depression, stress, and emotional exhaustion. Early Education and Development, 29(1), 53–69.
Joshanloo, M., Wissing, M. P., Khumalo, I. P., & Lamers, S. M. A. (2013). Measurement invariance of the Mental Health Continuum-Short Form (MHC-SF) across three cultural groups. Personality and Individual Differences 55, 755–759.
Jovanović, V. (2015). Structural validity of the mental health continuum- short form: The bifactor model of emotional, social and psychological well-being. Personality and Individual Differences, 75, 154–159. https://doi.org/10.1016/j.paid.2014.11.026
Karaś, D., Cieciuch, J., & Keyes, C. L. M. (2014). The polish adaptation of the Mental Health Continuum-Short Form (MHC-SF). Personality and Individual Differences, 69, 104–109. https://doi.org/10.1016/j.paid.2014.05.011
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
Keyes, C. L. M. (2005). Mental health and/or mental illness? Investigating axioms of the complete state model of health. Journal of Consulting and Clinical Psychology, 73(3), 539–548. https://doi.org/10.1037/0022-006X.73.3.539
Keyes, C. L. M. (2006). Subjective well-being in mental health and human development research worldwide: An introduction. Social Indicators Research, 77(1), 1–10. https://doi.org/10.1007/s11205-005-5550-3
Keyes, C. L. (2007). Promoting and protecting mental health as flourishing: A complementary strategy for improving national mental health. American Psychologist, 62(2), 95–108. https://doi.org/10.1037/0003-066X.62.2.95
Keyes, C. L. M., Wissing, M., Potgieter, J. P., Temane, M., Kruger, A., & Van Rooy, S. (2008). Evaluation of the mental health continuum–short form (MHC–SF) in Setswana-speaking south Africans. Clinical Psychology & Psychotherapy, 15(3), 181–192. https://doi.org/10.1002/cpp.572
Kidger, J., Brockman, R., Tilling, K., Campbell, R., Ford, T., Araya, R., King, M., & Gunnell, D. (2016). Teachers' wellbeing and depressive symptoms, and associated risk factors: A large cross sectional study in English secondary schools. Journal of Affective Disorders, 192, 76–82. https://doi.org/10.1016/j.jad.2015.11.054
Kline, R. B. (2011). Principles and practice of structural equation modeling. Guilford Press.
Lamers, S. M. A., Westerhof, G. J., Bohlmeijer, E. T., ten Klooster, P. M., & Keyes, C. L. M. (2011). Evaluating the psychometric properties of the Mental Health Continuum-Short Form (MHC-SF). Journal of Clinical Psychology, 67(1), 99–110. https://doi.org/10.1002/jclp.20741
Lamers, S. M., Westerhof, G. J., Glas, C. A. W., & Bohlmeijer, E. T. (2015). The bidirectional relation between positive mental health and psychopathology in a longitudinal representative panel study. Journal of Positive Psychology, 10(6), 553–560. https://doi.org/10.1002/cpp.57210.1080/17439760.2015.1015156
Lee, B. (2019). Testing of the factor structure of the Center for Epidemiologic Studies Depression Scale 10 in a sample of Korean “geese” mothers. Health Care for Women International, 40(5), 539–553. https://doi.org/10.1080/07399332.2018.1548017
Lim, Y. J. (2014). Psychometric characteristics of the Korean mental health continuum–short form in an adolescent sample. Journal of Psychoeducational Assessment, 32(4), 356–364. https://doi.org/10.1177/0734282913511431
Lim, Y. J., Ko, Y. G., Shin, H. C., & Cho, Y. R. (2012). Psychometric evaluation of the Mental Health Continuum-Short Form (MHC-SF) in South Koreans. Korean Journal of Psychology, 31(2), 369–386.
Longo, Y., Jovanovic, V., Sampaio de Carvalho, J., & Karas, D. (2020). The general factor of well-being: Multinational evidence using Bifactor ESEM on the mental health continuum-short form. Assessment, 27(3), 596–606. https://doi.org/10.1177/1073191117748394
Luijten, C. C., Kuppens, S., van de Bongardt, D., & Nieboer, A. P. (2019). Evaluating the psychometric properties of the Mental Health Continuum-Short Form (MHC-SF) in Dutch adolescents. Health and Quality of Life Outcomes, 17(1), 157. https://doi.org/10.1186/s12955-019-1221-y
Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis testing approaches to setting cutoff values for fit indexes and dangers in overgeneralising Hu & Bentler’s (1999) findings. Structural Equation Modelling, 11(3), 320–341. https://doi.org/10.1207/s15328007sem1103_2
Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47(5), 667–696. https://doi.org/10.1080/00273171.2012.715555
Reise, S. P., Morizot, J., & Hays, R. D. (2007). The role of bifactor model in resolving dimensionality issues in health outcome measures. Quality of Life Research, 16, 19–31. https://doi.org/10.1007/s11136-007-9183-7
Reise, S. P., Moore, T. M., & Haviland, M. G. (2010). Bifactor models and rotations: Exploring the extent to which multidimensional data yield univocal scale scores. Journal of Personality Assessment, 92(6), 544–559. https://doi.org/10.1080/00223891.2010.496477
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Applying bifactor statistical indices in the evaluation of psychological measures. Journal of Personality Assessment, 98(3), 223–237. https://doi.org/10.1080/00223891.2015.1089249
Ryff, C. D., & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719–727. https://doi.org/10.1037/0022-3514.69.4.719
Santini, Z. I., Torres-Sahli, M., Hinrichsen, C., Meilstrup, C., Madsen, K. R., Rayce, S. B., Baker, M. M., ten Have, M., Schotanus-Dijkstra, M., & Koushede, V. (2020). Measuring positive mental health and flourishing in Denmark: Validation of the mental health continuum short form (MHC-SF) and cross-cultural comparison across three countries. Health and Quality of Life Outcomes, 18(1), 297. https://doi.org/10.1186/s12955-020-01546-2
Söderqvist, F., & Larm, P. (2023). Psychometric evaluation of the mental health continuum – Short form in Swedish adolescents. Current Psychology, 42, 2136–2144. https://doi.org/10.1007/s12144-021-01626-6
Suldo, S. M., Thalji, A., & Ferron, J. (2011). Longitudinal academic outcomes predicted by early adolescents’ subjective well-being, psychopathology, and mental health status yielded from a dual factor model. The Journal of Positive Psychology, 6(1), 17–30. https://doi.org/10.1080/17439760.2010.536774
Watts, A. L., Poore, H. E., & Waldman, I. D. (2019). Riskier tests of the validity of the bifactor model of psychopathology. Clinical Psychology Science, 7(6), 1285–1303. https://doi.org/10.1177/2167702619855035
World Health Organization. (2004). Promoting mental health: Concepts, emerging evidence, practice (summary report) (p. 69). WHO Press.
Żemojtel-Piotrowska, M., Piotrowski, J., Osin, E., Cieciuch, J., Adams, B., Ardi, R., et al. (2017). The mental health continuum-short form: The structure and application for cross-cultural studies–a 38 nation study. Journal of Clinical Psychology, 74(6), 1034–1052. https://doi.org/10.1002/jclp.22570
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This research was supported by Woosong University (Grant No. WLB 1928-2332-01).
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The Institutional Review Board at Woosong University in Korea (Protocol Code: 1041549-201006-SB-103) provided the study’s ethical approval.
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Lee, B., Kim, Y.E. A comparison of factor structure models for the Mental Health Continuum-Short Form (MHC-SF) among preschool teachers in South Korea. Curr Psychol 43, 4678–4687 (2024). https://doi.org/10.1007/s12144-023-04683-1
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DOI: https://doi.org/10.1007/s12144-023-04683-1