Proposing a Measurement Model of REBT and Applying It to the Assessment of Well-Being and Happiness in Patients with Tension-Type Headaches

This study examined whether a traditional low-impact mind–body exercise, Tai Chi, affects health-related quality-of-life (HRQOL) and headache impact in an adult population suffering from tension-type headaches. Forty-seven participants were randomly assigned to either a 15 week intervention program of Tai Chi instruction or a wait-list control group. HRQOL (SF-36v2) and headache status (HIT-6™) were obtained at baseline and at 5, 10 and 15 weeks post-baseline during the intervention period. Statistically significant (P< 0.05) improvements in favor of the intervention were present for the HIT score and the SF-36 pain, energy/fatigue, social functioning, emotional well-being and mental health summary scores. A 15 week intervention of Tai Chi practice was effective in reducing headache impact and also effective in improving perceptions of some aspects of physical and mental health.

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Exploring competitiveness and wellbeing in Italy by spatial principal component analysis

10.36253/978-88-5518-461-8.27 ◽

2021 ◽

pp. 141-146

Author(s):

Carlo Cusatelli ◽

Massimiliano Giacalone ◽

Eugenia Nissi

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Well Being ◽

Component Analysis ◽

Measurement Model ◽

Statistical Technique ◽

Multivariate Statistical ◽

Spatial Principal Component Analysis ◽

Italian Provinces ◽

Reflective Measurement

Well being is a multidimensional phenomenon, that cannot be measured by a single descriptive indicator and that, it should be represented by multiple dimensions. It requires, to be measured by combination of different dimensions that can be considered together as components of the phenomenon. This combination can be obtained by applying methodologies knows as Composite Indicators (CIs). CIs are largely used to have a comprehensive view on a phenomenon that cannot be captured by a single indicator. Principal Component Analysis (PCA) is one of the most popular multivariate statistical technique used for reducing data with many dimension, and often well being indicators are obtained using PCA. PCA is implicitly based on a reflective measurement model that it non suitable for all types of indicators. Mazziotta and Pareto (2013) in their paper discuss the use and misuse of PCA for measuring well-being. The classical PCA is not suitable for data collected on the territory because it does not take into account the spatial autocorrelation present in the data. The aim of this paper is to propose the use of Spatial Principal Component Analysis for measuring well being in the Italian Provinces.

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DEVELOPING AND TESTING AN ASSISTED LIVING ENVIRONMENT MODEL

Innovation in Aging ◽

10.1093/geroni/igz038.2374 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S637-S638

Author(s):

Sarah D Holmes ◽

Elizabeth Galik ◽

Barbara Resnick

Keyword(s):

Built Environment ◽

Assisted Living ◽

Well Being ◽

Measurement Model ◽

Living Environment ◽

Equation Modeling ◽

Dissemination And Implementation ◽

Age In Place ◽

The Impact ◽

Environment Measurement

Abstract The assisted living (AL) environment plays an important role in supporting residents’ life satisfaction and helping them to age in place. Guided by ecological theory, the AL environment is multidimensional and has many interrelated components including staffing (e.g. direct care workers, nursing, activity staff), services provided (e.g. medical, mental health, pharmacy), amenities offered at the setting (e.g. beauty salon, computer room, exercise facilities), and built environment features (e.g. walkability). Moreover, evidence suggests that aspects of the AL environment can enhance or detract from the physical function, well-being, social engagement, and behavioral outcomes among residents. The purpose of this study was to develop and test an integrative AL environment measurement model that includes indicators of staffing, services, amenities, and the built environment. Baseline data was used from a study testing the Dissemination and Implementation of Function Focused Care in AL. A total of 54 AL facilities across three states were included in the sample. Settings ranged in size from 31 to 164 beds with an average size of 82.2 (SD=26.2) beds and the majority were for profit facilities (n=41, 74.5%). Structural equation modeling was used to test the proposed model. Results showed that the model fit the data (chi-squared/df=1.86, p<.05; CFI=.858, RMSEA=.126). Having an integrative AL environment measurement model will advance future research that explores the impact of the environment on resident outcomes. In addition, findings from this study can inform interventions and programs designed to modify AL environments to optimize residents’ ability to age in place.

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Influence of organizational culture supporting work-life balance on well-being and depression mediated by work-life balance

The Korean Journal of Industrial and Organizational Psychology ◽

10.24230/kjiop.v32i1.1-27 ◽

2019 ◽

Vol 32 (1) ◽

pp. 1-27 ◽

Cited By ~ 5

Author(s):

Jeong Mi Lee ◽

Hwan Gyu Choi

Keyword(s):

Organizational Culture ◽

Structural Model ◽

Group Analysis ◽

Age Groups ◽

Well Being ◽

Measurement Model ◽

Work Life ◽

Work Life Balance ◽

Life Balance ◽

Negative Effect

This study aimed to verify the structural relationship among organizational culture, work-life balance, wellbeing and depression. A total of 569 Korean employees were recruited. The measurement model and the structural model were verified and also the model applicability was examined through cross-validation across gender and age. The results show that organizational culture supporting work-life balance has positive effect on employees’ well-being and work-life balance whereas has negative effect on depression, and those effects are mediated by work-life balance. The results from the multi-group analysis showed that for both male and female employees in all age groups, organizational culture supporting work-life balance has significant effect on well-being, depression and work-life balance. In addition, it was verified that work-life balance significantly affects well-being and depression in all age groups regardless of gender.

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KETERKAITAN KESEHATAN SPIRITUAL (SPIRITUAL WELL-BEING) DAN ORIENTASI KEPUTUSAN ETIS (ETHICAL ORIENTATION OF DECISION MAKING) (Studi Empiris terhadap Para Pembuat Keputusan di Indonesia Tahun 2016)

Jurnal Akuntansi ◽

10.24912/ja.v21i1.136 ◽

2017 ◽

Vol 21 (1) ◽

pp. 95

Author(s):

I Cenik Ardana ◽

Elizabeth Sugiarto D ◽

Yuniarwati Yuniarwati

Keyword(s):

Decision Making ◽

Well Being ◽

Measurement Model ◽

Ethical Orientation ◽

Validity And Reliability ◽

Measurement Models ◽

Spiritual Well Being ◽

Positive Correlations ◽

Level Of Significance ◽

Testing Instruments

Specifically, the purpose of this study is: (1) to test the validity and reliability of the measurement model of Fisher's spiritual well-being (SWB) construct (2010); (2) to test the validity and reliability of the measurement model of Forsyth’s ethical orientation of decision-making (EDM) construct (1980), and (3) to examine the correlation of Fisher’s SWB variables with Forsyth’s EDM variables (1980). Testing instruments or measurement models uses confirmatory factor analysis and Cronbach Alpha's reliability and testing correlation uses Perlson's correlation. The data is processed with SPSS version 22. The results of this study showed that: (1) the measurment model of Fisher’s SWB construct is valid and reliable; (2) the measurment model of Forsyth’s EDM construct is also valid and reliable. It is also concluded that there is a positive and significant correlation between ideal spiritual well-being (ISWB) construct, either in whole (ISWB) and each dimension (ICSWB, IPSWB, ITSWB, IESWB) with ideal ethical orientation of decision-making (IEDM). There is also a positive and significant relationship between lived spiritual well-being (LSWB) construct as a whole with relative ethical orientation of decision-making (REDM). In testing the correlation of each dimension of LSWB construct (LCSWB, LPSWB, LTSWB, LESWB) with REDM construct, despite all the dimensions of LSWB shows positive correlations with REDM, but the level of significance of the association varies.

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Investigating the Mental Health Impacts of University Campus Green Space Through Perceived Sensory Dimensions and the Mediation Effects of Perceived Restorativeness on Restoration Experience

Frontiers in Public Health ◽

10.3389/fpubh.2020.578241 ◽

2020 ◽

Vol 8 ◽

Author(s):

Fahimeh Malekinezhad ◽

Paul Courtney ◽

Hasanuddin bin Lamit ◽

Mauro Vigani

Keyword(s):

Mental Health ◽

University Students ◽

Structural Equation ◽

Green Space ◽

Well Being ◽

Measurement Model ◽

Green Spaces ◽

Equation Modeling ◽

Mediation Effects ◽

Landscape Characteristics

Introduction: Green spaces support people mentally in their everyday life. Perceived restorativeness and Perceived Sensory Dimension (PSD) have been addressed as optimal environmental related characteristics with regards to psychological restoration. However, relatively little research has investigated how the perception of these characteristics, directly and indirectly, affects restoration experience, particularly in a sample of university students within the area of green outdoor campus landscapes.Methods: This study hypothesizes these associations through application of partial least squares structural equation modeling (PLS-SEM), inputting data from a sample of university students in Malaysia. In the hypothesized model, we examine the degree of restoration that is enjoyed by subjects within landscapes through the effects of these characteristics. Indirect effects of perceived restorativeness via evaluation of mediation effects associated with perception of landscape characteristics and restoration experience are also investigated.Results: Through validation of the measurement model, we find significant positive coefficient paths with adequate predictive abilities in the hypothesized model. Findings suggest the effect of PSD on perceived restorativeness leads to a better explanation of restoration experience. In addition, perceived landscape characteristics of PSD enhance restoration experience in alignment with perceived restorativeness characteristics.Conclusions: Greater effects on restoration experience come through perceived restorativeness that is affected by PSD, which itself is capable of promoting favorable experiences of restorativeness in a green space and facilitating psychological restorative outcomes. The mechanistic effect of emotional regulation implies a distinct role of green spaces in maintaining good mental health and has relevance to public health models that promote independence and well-being through preventative approaches. The work paves the way for further studies that examine which dimensions of PSD support perceived restorativeness and restoration experience more than others, and the wider psycho-social value of green spaces through the application of mediation effects and personal sensory dimensions in the development of mental health.

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Latent Markov Latent Trait Analysis for Exploring Measurement Model Changes in Intensive Longitudinal Data

Evaluation & the Health Professions ◽

10.1177/0163278720976762 ◽

2020 ◽

pp. 016327872097676

Author(s):

Leonie V. D. E. Vogelsmeier ◽

Jeroen K. Vermunt ◽

Loes Keijsers ◽

Kim De Roover

Keyword(s):

Longitudinal Data ◽

Measurement Invariance ◽

Ordinal Data ◽

Latent Trait ◽

Well Being ◽

Measurement Model ◽

Social Contexts ◽

Psychological Constructs ◽

Intensive Longitudinal Data ◽

Trait Analysis

Drawing inferences about dynamics of psychological constructs from intensive longitudinal data requires the measurement model (MM)—indicating how items relate to constructs—to be invariant across subjects and time-points. When assessing subjects in their daily life, however, there may be multiple MMs, for instance, because subjects differ in their item interpretation or because the response style of (some) subjects changes over time. The recently proposed “latent Markov factor analysis” (LMFA) evaluates (violations of) measurement invariance by classifying observations into latent “states” according to the MM underlying these observations such that MMs differ between states but are invariant within one state. However, LMFA is limited to normally distributed continuous data and estimates may be inaccurate when applying the method to ordinal data (e.g., from Likert items) with skewed responses or few response categories. To enable researchers and health professionals with ordinal data to evaluate measurement invariance, we present “latent Markov latent trait analysis” (LMLTA), which builds upon LMFA but treats responses as ordinal. Our application shows differences in MMs of adolescents’ affective well-being in different social contexts, highlighting the importance of studying measurement invariance for drawing accurate inferences for psychological science and practice and for further understanding dynamics of psychological constructs.

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Adaptasi dan uji properti psikometrik The PERMA-Profiler pada orang Indonesia

Persona Jurnal Psikologi Indonesia ◽

10.30996/persona.v10i1.4986 ◽

2021 ◽

Vol 10 (1) ◽

pp. 81-103

Author(s):

Diana Elfida ◽

Mirra Noor Milla ◽

Winarini Wilman D. Mansoer ◽

Bagus Takwin

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Convergent Validity ◽

Positive Emotion ◽

Goodness Of Fit ◽

Satisfaction With Life ◽

Well Being ◽

Measurement Model ◽

Satisfaction With Life Scale ◽

Confirmatory Factor

AbstractThe PERMA-Profiler is a well-being instrument which combines the hedonic and eudaimonic perspective of well-being. This instrument was developed based on well-being theory (Seligman, 2012) which explained well-being as a multidimensional construct, included positive emotion, engagement, relationship, meaning, and accomplishment (PERMA). This study aimed to adapt and examine the psychometric properties of the PERMA-Profiler in Indonesian people. The participants were 439 Indonesians, aged 17-63 years old (mean age = 30,82; SD = 10,00). Confirmatory Factor Analysis (CFA) was used to test the measurement model of PERMA. The result showed that the PERMA-Profiler met the goodness of fit criteria as a multi dimensional construct with five elements. Fourteen items have satisfactory factor loading. The PERMA-Profiler has good construct reliability as well as Cronbach’s alpha. The convergent validity was shown by the positive correlation between elements of PERMA with satisfaction with life scale (SWLS) and subjective happiness scale (SHS). In addition, the significant correlation between elements and each element with a total score proved the multidimensional nature of PERMA. The overall findings showed that the adaptation version of PERMA-Profiler have a good psychometric property and could be applied to Indonesian people.Keywords: confirmatory factor analysis; PERMA; reliability; validity; well-being AbstrakThe PERMA-Profiler merupakan instrumen kebahagiaan yang memadukan perspektif hedonik dan eudaimonik untuk mengukur kebahagiaan. Instrumen ini mengacu pada well-being theory (M. E. P. Seligman, 2012) yang menjelaskan kebahagiaan sebagai konstruk multidimensi, meliputi positive emotion, engagement, relationship, meaning, dan accomplishment (PERMA). Penelitian ini bertujuan untuk mengadaptasi dan menguji properti psikometrik the PERMA-Profiler pada orang Indonesia. Partisipan berjumlah 439 orang Indonesia (pria = 108, wanita = 331) dan berusia antara 17- 63 tahun (usia rerata = 30,82 tahun; SD = 10,00). Confirmatory Factor Analysis (CFA) digunakan untuk menguji model pengukuran. Hasil CFA memperlihatkan the PERMA-Profiler memenuhi kriteria kecocokan model sebagai konstruk multidimensi yang terdiri dari lima elemen. Terdapat 14 dari 15 aitem yang valid. Keempatbelas aitem juga yang mengukur satu konstruk tunggal yaitu well-being. The PERMA-Profiler juga memperlihatkan reliabilitas komposit dan konsistensi internal yang memuaskan. Korelasi positif yang signifikan dengan pengukuran skala kepuasan hidup dan skala kebahagiaan umum menunjukkan PERMA-Profiler memenuhi validitas konvergen. Setiap dimensi berkorelasi signifikan satu sama lain dan dengan skor total. Temuan ini memperlihatkan hasil adaptasi the PERMA-Profiler memiliki properti psikometrik yang bagus dan dapat diterapkan pada orang Indonesia.Kata Kunci: confirmatory factor analysis; kebahagiaan; PERMA; reliabilitas; validitas

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