The General Factor of Well-Being: Multinational Evidence Using Bifactor ESEM on the Mental Health Continuum–Short Form

Assessment ◽  
2017 ◽  
Vol 27 (3) ◽  
pp. 596-606 ◽  
Author(s):  
Ylenio Longo ◽  
Veljko Jovanović ◽  
Joana Sampaio de Carvalho ◽  
Dominika Karaś
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Short Form ◽  
Well Being ◽  
Total Sample ◽  
Equation Modeling ◽  
General Factor ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Competing Models

The Mental Health Continuum–Short Form (MHC-SF) is a widely used scale aimed at assessing three components of well-being: emotional, social, and psychological. The factor structure of the MHC-SF has been under debate over the past 10 years. The main goal of the present study was to examine the dimensionality of the MHC-SF. Confirmatory factor analyses (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were used to evaluate competing models of the MHC-SF structure. The total sample consisted of 7,521 participants from four countries: The Netherlands, Poland, Portugal, and Serbia. The results indicated that the three CFA factors were very highly related, and that a bifactor ESEM model provided the best fit to the data in all samples. Our findings provided support for the bifactor structure of well-being with a strong general factor explaining most of the variance in the items.

scholarly journals A MENTÁLIS EGÉSZSÉG KONTINUUM SKÁLA RÖVID VÁLTOZATÁNAK HAZAI VALIDÁCIÓJA

2020 ◽  
Vol 75 (2) ◽  
pp. 217-246
Author(s):  
Reinhardt Melinda ◽  
Horváth Zsolt ◽  
Tóth László ◽  
Kökönyei Gyöngyi
Keyword(s):  
Mental Health ◽  
Emotion Regulation ◽  
Big Five ◽  
Structural Equation ◽  
Short Form ◽  
Well Being ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Cognitive Emotion Regulation ◽  
Hungarian Version

Háttér és célkitűzésekA Mentális Egészség Két-kontinuum Modellje a mentális egészség pozitív összetevőit, a szubjektív jóllét komponenseit összegzi. Vizsgálatunkban a modell alapján létrehozott Mentális Egészség Kontinuum Skála rövid változatának (rövid MEKS) pszichometriai mutatóit és faktorszerkezetét teszteltük hazai felnőtt egyetemista mintán.Módszer552 egyetemista (71,5% nő, átlagéletkor = 22,09 év, szórás = 3,66) vett részt a keresztmetszeti elrendezésű vizsgálatban, akiket a következő kérdőívek kitöltésére kértünk: Mentális Egészség Kontinuum Skála - rövid változat; Majdnem Tökéletes Skála - rövid változat; Depresszió, Szorongás és Stressz Kérdőív - rövid változat (DASS-21); Kognitív Érzelem Reguláció Kérdőív - rövid változat és Big Five Személyiség- leltár-2 (BFI-2).EredményekA Mentális Egészség Kontinuum Skála rövid változatának a tételek kereszttöltéseit is megengedő (Exploratory Structural Equation Modeling, ESEM) bifaktoros szerkezetét erősítettük meg: a globális szubjektív jóllét faktor erős jelenléte mellett az eredeti szerző, Corey L. M. Keyes által leírt három specifikus (érzelmi, pszichológiai és társas) jóllét faktor is megerősítést nyert. A bifaktoros ESEM modell nemi invarianciáját is sikerült igazolnunk. A mérőeszköz megbízhatósági eredményei kiválóak (ω = 0,79-0,92 között), ahogyan validitása is bizonyítást nyert: az elvártaknak megfelelően a pozitív mentális egészség mutatók (teljes rövid MEKS és alskálái) a depresszív, a szorongásos és a stressz tünetekkel, valamint az önkritikus, maladaptív perfekcionizmussal fordított irányú együtt járást mutatnak, míg az adaptív kognitív érzelemregulációs stratégiákkal és az alkalmazkodást segítő személyiségvonásokkal (barátságosság, lelkiismeretesség, érzelmi stabilitás, extraverzió) pozitív kapcsolatban állnak.KövetkeztetésekEredményeink szerint egy valid, a szubjektív jóllét szintet globálisan és annak egyes területeit is megbízhatóan mérő önkitöltős kérdőívet tudtunk bevezetni a magyar tesztállományba.Background and aimsThe Two Continua Model of Mental Health summarizes the positive components of mental health. Our aim was to test the psychometric characteristics and the factor structure of the Hungarian version of the Mental Health Continuum-Short Form (MHC-SF), a measurement based on the Two Continua Model of Mental Health, among Hungarian university students.Methods552 university students (71.5% women, mean age = 22.09, SD = 3,66) took part in the cross-sectional research. Respondents filled out the following questionnaires: Hungarian version of the MHC-SF; the Short Form of the Revised Almost Perfect Scale; the Depression Anxiety and Stress Scales (DASS-21), the short version of the Cognitive Emotion Regulation Questionnaire; the Big Five Invento- ry-2.ResultsWe strenghtened the bifactor structure of the Hungarian version of the MHC-SF in Exploratory Structural Equation Modeling (ESEM) framework, which allows the cross-loadings of the items. Beside the strong global subjective well-being factor specific (emotional, psychological, and social) well-being factors emerged. Measurement invariance across gender is also demonstrated. The reliabilty of the Hungarian MHC-SF is excellent (ω = 0.79-0.92), as well as its validity. As it was expected, indicators of positive mental health associated negatively with depressive, anxiety, and stress symptoms, furthermore self-critical and maladaptive perfectionism. In contrast, global and specific components of subjective well-being were in positive association with adaptive cognitive emotion regulation strategies and certain personality traits, like agreeableness, conscientiousness, emotional stability, and extraversion.ConclusionsAccording to our results a valid questionnaire was introduced into the Hungarian test system, which can reliably measure global subjective well-being, as well as its specific components.

Emotional intelligence in older adults: psychometric properties of the TMMS-24 and relationship with psychological well-being and life satisfaction

2017 ◽  
Vol 29 (8) ◽  
pp. 1327-1334 ◽  
Author(s):  
I. Delhom ◽  
M. Gutierrez ◽  
B. Lucas-Molina ◽  
J. C. Meléndez
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Emotional Intelligence ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Psychological Well Being ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor

ABSTRACTBackground:Aging is a process during which important changes occur in different areas of development and emotional intelligence plays an essential role. The objective of this study was twofold: first, to validate the TMMS-24 in an older population; and second, to examine the mediating role of life satisfaction in the relationship between emotional intelligence and psychological well-being.Methods:The sample consisted of 215 older adults (60.15% women) with a mean age of 69.56 (SD = 6.42), without cognitive impairment. Data on emotional intelligence, satisfaction with life, and psychological well-being were obtained through the TMMS-24, the SWLS, and Ryff's psychological well-being scales, respectively. Confirmatory factor analyses and structural equation modeling were conducted.Results:Confirmatory factor analyses confirmed the three-dimensional structure of the TMMS-24. The total scale showed an internal consistency of 0.90, ranging from 0.84 to 0.85 for the subscales. Structural equation modeling indicated that emotional intelligence exerted an influence on psychological well-being both directly and indirectly through life satisfaction.Conclusions:These findings show that the TMMS-24 has adequate psychometric properties for assessing emotional intelligence in elderly participants, and they indicate that emotional intelligence influences cognitive and affective judgments of life satisfaction, with these judgments of life satisfaction predicting psychological well-being.

Less Time, Better Quality. Shortening Questionnaires to Assess Team Environment and Goal Orientation

2013 ◽  
Vol 16 ◽  
Author(s):  
Saül Alcaraz ◽  
Carme Viladrich ◽  
Miquel Torregrosa
Keyword(s):  
Goal Orientation ◽  
Structural Equation ◽  
Missing Values ◽  
Short Form ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Short Forms ◽  
Team Environment ◽  
Confirmatory Factor

AbstractWhen assessing team environments in youth sport, participants often spend substantial time responding to lots of items in questionnaires, causing a lack of efficiency (i.e. time and effort) and a decrease of data quality. The purpose of this work was to create short-forms of the questionnaires PeerMCYSQ, SCQPeer, TEOSQ, and also to analyse the existing short-form of the SCQCoach. In Study 1 we developed the short-forms of the instruments. We shortened the questionnaires by using both theory driven and data-driven criteria. In Study 2, we used also qualitative and quantitative data with the aim of validating the short-forms. Finally, in Study 3 we tested the last version of the short-forms and sought evidences concerning their criterion validity. The results showed evidence that supports the psychometric merit of these short-forms: (a) significantly less missing values were obtained; (b) all the factors obtained alpha values above .70; (c) confirmatory factor analyses demonstrated that the short-forms fitted the hypothesized models well; (d) correlations between variables were coherent with expectations, and (e) structural equation modeling results showed significant paths consistent with previous literature. On average, our participants only spent a third of the time used to complete the original questionnaires.

scholarly journals Factors Related to Mental Health During the COVID-19 Lockdown in Spain

2021 ◽  
Vol 12 ◽  
Author(s):  
Ruth Pinedo ◽  
Isabel Vicario-Molina ◽  
Eva González Ortega ◽  
Andrés Palacios Picos
Keyword(s):  
Mental Health ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Survey ◽  
Psychological Impact ◽  
Well Being ◽  
Vulnerable Groups ◽  
Equation Modeling ◽  
Healthy Habits ◽  
And Gender

The COVID-19 disease has forced governments to adopt exceptional measures. The lockdown decreed in Spain in 2020 required citizens to stay confined at home, which might have affected their mental health. The objective is to identify factors that influenced adults' mental health during this period. A sample of 3,508 adults from the Spanish general population completed an online survey that collected sociodemographic data and information about daily planning and activities, healthy habits, loneliness, coping humor and mental health. Data were analyzed using Structural Equation Modeling. According to the results, the proposed model showed good fit values, and latent variables explained 30% of the variance in mental health. Loneliness, coping humor, healthy habits, age and gender had a significant weight in the prediction of mental health during lockdown. Area of residence, number of days of confinement and number of people in the household were not related to mental health. This study addresses the effect of COVID-19 and social distancing measures by identifying risk and protective factors for the development of mental health difficulties. There is a need to target specific and early interventions aimed at mitigating the psychological impact of the pandemic while increasing well-being, especially in more vulnerable groups.

scholarly journals Transformative value and the role of involvement in gamification and serious games for well-being

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rory Francis Mulcahy ◽  
Nadia Zainuddin ◽  
Rebekah Russell-Bennett
Keyword(s):  
Serious Games ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Content Type ◽  
Role Involvement ◽  
Competing Models ◽  
Moderating Role ◽  
Health And Well Being

PurposeThis study aims to investigate the use of gamification and serious games as transformative technologies that encourage health and well-being behaviors. The purpose of this paper is to investigate the transformative value that can be created by gamified apps and serious games and the role involvement plays between transformative value and desired outcomes.Design/methodology/approachFour gamified apps/serious games were examined in the study, with data collected from N = 497 participants. The data were analyzed using structural equation modeling.FindingsThe results revealed that gamified apps and serious games can create three transformative value dimensions – knowledge, distraction, and simulation – which can have direct and indirect effects on desired outcomes. Examination of competing models revealed involvement plays a mediating rather than a moderating role for gamification and serious games for well-being.Originality/valueThis research contributes greater understanding of how technology can be leveraged to deliver transformative gamification services. It demonstrates the multiple transformative value dimensions that can be created by gamified apps and serious games, which assist the performance of well-being behaviors and which have yet to be theorized or empirically examined. The study also establishes the mediating rather than the moderating role of involvement in gamification and serious games, as called for in the literature.

Lifestyle and Shiftwork: Designing and Testing a Model for Health Promotion of Iranian Nurses

2019 ◽  
Vol 26 (3) ◽  
pp. 262-268 ◽  
Author(s):  
Hamidreza Mokarami ◽  
Tayebe Rahimi Pordanjani ◽  
Ali Mohammadzadeh Ebrahimi ◽  
Fariba Kiani ◽  
Mohammad Faridan
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Sleep Disturbance ◽  
Indirect Effect ◽  
Structural Equation ◽  
Sleep Disturbances ◽  
Well Being ◽  
Chronic Fatigue ◽  
Equation Modeling ◽  
Physical And Mental Health

BACKGROUND: Lifestyle is one factor that forms the nurses’ health, particularly those who work in shiftwork schedules. AIMS: The aim of this study was to design and test a model for health promotion of Iranian nurses. In this model, nurses’ lifestyle was considered as the precedent, physical and mental health as the outcomes, and sleep disturbance and chronic fatigue as the mediators. METHODS: A cross-sectional study using structural equation modeling was conducted among 240 shiftworker nurses in Iran. The data collection was performed using the Persian versions of the Survey of Shiftworkers Questionnaire and Life Style Questionnaire. Bootstrap in Preacher and Hayes’ Macro program was used for testing mediation. RESULTS: Lifestyle had a weak significant direct effect on physical (β = 0.13, p < .04) and mental health (β = 0.12, p < .02), and it had a significant indirect effect on physical health via chronic fatigue (β = −0.11, p < .001) and sleep disturbance (β = −0.05, p < .01). This variable only had a significant indirect effect on mental health via chronic fatigue (β = −0.19, p < .001). The final model proposed a new significant path between sleep disturbances and chronic fatigue (β = 0.22, p < .001). CONCLUSIONS: Therefore, the hospital officials can enhance the nurses’ physical and mental well-being by providing interventions and training courses on aspects of healthy lifestyles, such as physical activity, avoidance of smoking, and maintenance of body weight.

Investigating the Structure of the Pediatric Symptoms Checklist in the Preschool Setting

2016 ◽  
Vol 35 (5) ◽  
pp. 494-505 ◽  
Author(s):  
Christine DiStefano ◽  
Jin Liu ◽  
Yin Burgess
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Short Form ◽  
School Setting ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
Psychological Instruments ◽  
Preschool Setting

When using educational/psychological instruments, psychometric investigations should be conducted before adopting to new environments to ensure that an instrument measures the same constructs. Exploratory structural equation modeling and confirmatory factor analysis methods were used to examine the utility of the short form of the Pediatric Symptoms Checklist (PSC-17) in the school setting. Using a sample of 836 preschool children rated by teachers, three factors were identified across both techniques, with factors matching the hypothesized structure of the instrument. The PSC-17 may be an option for use in preschool settings when conducting behavioral and emotional screening.

Expressive flexibility and resilience among U.S. military college students: Evaluating the enhancing and suppressing of emotions and resilience

2020 ◽  
Vol 4 (2) ◽  
pp. 187-198
Author(s):  
Vasiliki Georgoulas-Sherry
Keyword(s):  
Structural Equation ◽  
Human Performance ◽  
Factor Model ◽  
Well Being ◽  
Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Student Sample ◽  
Psychological Constructs ◽  
Resilience Scale ◽  
Military Student

Significant research has confirmed the necessity to better comprehend psychological constructs that are essential in predicting and influencing human performance, in particular, assessing expressive flexibility and resilience. However, limited research has investigated the relationships that exist between these two constructs that are critical protective factors in facilitating the mental health and the well-being of individuals. Through a number of structural equation modeling (SEM) techniques, the current endeavor evaluates this gap to assess the relationship between these two constructs. Utilizing a military student sample from a private U.S. military university (N = 107), participants completed the Resilience Scale for Adults (RSA) and the Flexible Regulation of Emotional Expression (FREE) scale. Correlations matrixes reported positive relationships between expressive flexibility and resilience. Confirmatory factor analyses (CFAs) revealed a bi-factor models of expressive flexibility and resilience. Additional CFAs revealed a two-factor model structure between expressive flexibility and resilience. Implications for future work are offered.

scholarly journals Stress of COVID-19, Anxiety, Economic Insecurity, and Mental Health Literacy: A Structural Equation Modeling Approach

2021 ◽  
Vol 12 ◽  
Author(s):  
Yangxiu Hu ◽  
Baojuan Ye ◽  
Jiawen Tan
Keyword(s):  
Mental Health ◽  
Health Literacy ◽  
Structural Equation ◽  
Mental Health Literacy ◽  
Well Being ◽  
Equation Modeling ◽  
Economic Insecurity ◽  
Chinese College Students ◽  
Negatively Associated

The COVID-19 pandemic is currently a global health threat attributed to negatively affecting the mental health and well-being of people globally. The purpose of the current study is to examine the mediating roles of economic insecurity and mental health literacy in the relationship between stress about COVID-19 and anxiety. Results from the current study using a large sample of Chinese college students (N = 1,334) showed that stress of COVID-19 was positively associated with economic insecurity and anxiety while negatively associated with mental health literacy, which in turn was negatively associated with anxiety. These results elucidate our understanding of the role of mediators in stress about COVID-19 and anxiety. The findings are useful in terms of providing evidence for tailoring interventions and implementing preventative approaches to mitigate anxiety due to stress of COVID-19. Based on the present findings and within the context of COVID-19, the potential utility of promoting MHL to reduce the psychopathological consequences of COVID-19 is discussed.

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