scholarly journals Examining within-person relationships between state assessments of affect and eudaimonic well-being using multi-level structural equation modeling

2020 ◽  
pp. 1-10
Author(s):  
Eranda Jayawickreme ◽  
Eli Tsukayama ◽  
Laura E.R. Blackie ◽  
Brandon Weiss
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
State Assessments ◽  
Multi Level

Evaluating the Construct Validity of Ryff’s Scales of Psychological Well-Being Using Exploratory Structural Equation Modeling

2016 ◽  
Vol 35 (6) ◽  
pp. 633-638 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Tze-Li Hsu ◽  
KoFan Lee ◽  
Lori Wolff
Keyword(s):  
Structural Equation Modeling ◽  
Construct Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Well Being ◽  
The United States ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Psychological Well Being ◽  
Measurement Models

The purpose of this study was to evaluate the construct validity of Ryff’s Scales of Psychological Well-Being (SPWB) using exploratory structural equation modeling (ESEM). The data were drawn from the national survey of Midlife in the United States conducted during 1994 and 1995. Measurement models assuming different number of factors (1-6 factors) and considering the effect of negatively wording items were specified and compared to determine optimal number of underlying factors. The discriminant validity was assessed following Farrell’s suggestions. The results showed the discriminant validity was questionable due to five indicators with considerable cross-loadings.

scholarly journals Psychometric properties of the Italian version of the Experience in Close Relationship Scale 12 (ECR-12): an exploratory structural equation modeling study

2019 ◽  
Vol 22 (3) ◽  
Author(s):  
Agostino Brugnera ◽  
Cristina Zarbo ◽  
Benedetto Farina ◽  
Angelo Picardi ◽  
Andrea Greco ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Coping Strategies ◽  
Psychometric Properties ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Attachment Avoidance ◽  
Italian Version ◽  
Exploratory Structural Equation Modeling ◽  
Close Relationship

The Experiences in Close Relationship Scale (ECR) is one of the most commonly used self-report instruments of adult attachment and has been widely adopted in psychotherapy research. Composed of two subscales, namely Attachment Avoidance and Anxiety, the ECR was recently shortened to a 12-items version, called the ECR-12. Given the importance of extending knowledge on its applicability in understudied populations, our aim was to validate the ECR-12 in a large sample of Italian native-speakers. A total of 1197 participants (73.2% females; mean age=28.53±11.37 years) completed the ECR-12. Each participant also completed other measures of attachment, psychopathology, interpersonal distress, coping strategies, and well-being. An Exploratory Structural Equation Modeling analysis showed an excellent fit of the data, providing support for the two-dimensional orthogonal structure of the ECR-12. In addition, the measurement model was invariant across genders. Both attachment anxiety and attachment avoidance subscales demonstrated good internal reliability, with McDonald’s Omegas and Cronbach’s Alphas above the suggested 0.8 cut-off. Finally, the Italian version of ECR-12 showed adequate convergent, concurrent, and divergent validity. Highly anxious individuals reported the highest levels of maladaptive interpersonal functioning and coping strategies, resulting in lower well-being. Interestingly, both attachment insecurity dimensions predicted higher levels of psychopathology, even after controlling for demographic variables and levels of self-reported relational difficulties. Given the good psychometric properties of the ECR-12, researchers and practitioners in Italy are encouraged to adopt the ECR-12 in their future research on adult attachment in psychotherapy.

Effect of Spiritually Dimensions on Martial Satisfaction

2017 ◽  
Vol 9 (2) ◽  
pp. 117
Author(s):  
Kamal Khurana
Keyword(s):  
Structural Equation Modeling ◽  
Marital Satisfaction ◽  
Marital Quality ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Impact ◽  
Well Being ◽  
Equation Modeling ◽  
Relationship With God ◽  
Cross Sectional

Spiritually is an essential part of our physical and mental well-being. Spirituality dimensions also effects marital quality. This paper presents evidences that there exists a positive effect of spirituality dimensions on marital satisfaction. The results are proved through structural equation modeling among the latent variables- direct relationship with God, relationship with God through others and martial satisfaction- in a cross-sectional study of 382 married adults aged 18 to 48 years comprising of 225 males and 157 female respondents. Data was collected in Delhi NCR region through self-administrated questionnaire formulated through marital quality index (Norton, 1983)15 and daily spiritual scale (Underwood, 2002)19. Results of structural equation modeling suggest that there is a positive impact of spirituality dimensions on marital satisfaction.

scholarly journals Using kaizen to improve employee well-being: Results from two organizational intervention studies

2016 ◽  
Vol 70 (8) ◽  
pp. 966-993 ◽  
Author(s):  
Ulrica von Thiele Schwarz ◽  
Karina M Nielsen ◽  
Terese Stenfors-Hayes ◽  
Henna Hasson
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Intervention Studies ◽  
Intervention Group ◽  
Well Being ◽  
Realist Evaluation ◽  
Equation Modeling ◽  
Organizational Interventions ◽  
Participatory Intervention

Participatory intervention approaches that are embedded in existing organizational structures may improve the efficiency and effectiveness of organizational interventions, but concrete tools are lacking. In the present article, we use a realist evaluation approach to explore the role of kaizen, a lean tool for participatory continuous improvement, in improving employee well-being in two cluster-randomized, controlled participatory intervention studies. Case 1 is from the Danish Postal Service, where kaizen boards were used to implement action plans. The results of multi-group structural equation modeling showed that kaizen served as a mechanism that increased the level of awareness of and capacity to manage psychosocial issues, which, in turn, predicted increased job satisfaction and mental health. Case 2 is from a regional hospital in Sweden that integrated occupational health processes with a pre-existing kaizen system. Multi-group structural equation modeling revealed that, in the intervention group, kaizen work predicted better integration of organizational and employee objectives after 12 months, which, in turn, predicted increased job satisfaction and decreased discomfort at 24 months. The findings suggest that participatory and structured problem-solving approaches that are familiar and visual to employees can facilitate organizational interventions.

scholarly journals Longitudinal stability and interrelations between health behavior and subjective well-being in a follow-up of nine years

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0259280
Author(s):  
Säde Stenlund ◽  
Niina Junttila ◽  
Heli Koivumaa-Honkanen ◽  
Lauri Sillanmäki ◽  
David Stenlund ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Health Behavior ◽  
Health Behaviors ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
The Cross

Background The bidirectional relationship between health behavior and subjective well-being has previously been studied sparsely, and mainly for individual health behaviors and regression models. In the present study, we deepen this knowledge focusing on the four principal health behaviors and using structural equation modeling with selected covariates. Methods The follow-up data (n = 11,804) was derived from a population-based random sample of working-age Finns from two waves (2003 and 2012) of the Health and Social Support (HeSSup) postal survey. Structural equation modeling was used to study the cross-sectional, cross-lagged, and longitudinal relationships between the four principal health behaviors and subjective well-being at baseline and after the nine-year follow-up adjusted for age, gender, education, and self-reported diseases. The included health behaviors were physical activity, dietary habits, alcohol consumption, and smoking status. Subjective well-being was measured through four items comprising happiness, interest, and ease in life, and perceived loneliness. Results Bidirectionally, only health behavior in 2003 predicted subjective well-being in 2012, whereas subjective well-being in 2003 did not predict health behavior in 2012. In addition, the cross-sectional interactions in 2003 and in 2012 between health behavior and subjective well-being were statistically significant. The baseline levels predicted their respective follow-up levels, the effect being stronger in health behavior than in subjective well-being. Conclusion The four principal health behaviors together predict subsequent subjective well-being after an extensive follow-up. Although not particularly strong, the results could still be used for motivation for health behavior change, because of the beneficial effects of health behavior on subjective well-being.

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