scholarly journals Component-based structural equation modeling for the assessment of psycho-social aspects and performance of athletes

2021 ◽  
Author(s):  
Rosa Fabbricatore ◽  
Maria Iannario ◽  
Rosaria Romano ◽  
Domenico Vistocco
Keyword(s):  
Structural Equation Modeling ◽  
Personality Traits ◽  
Structural Equation ◽  
Well Being ◽  
Sport Performance ◽  
Equation Modeling ◽  
Mental Skills ◽  
Path Modeling ◽  
Design Strategies ◽  
Validity And Reliability

AbstractRecent studies have pointed out the effect of personality traits on athletes’ performance and success; however, fewer analyses have focused the relation among these features and specific athletic behaviors, skills, and strategies to enhance performance. To fill this void, the present paper provides evidence on what personality traits mostly affect athletes’ mental skills and, in turn, their effect on the performance of a sample of elite swimmers. The main findings were obtained by exploiting a component-based structural equation modeling which allows to analyze the relationships among some psychological constructs, measuring personality traits and mental skills, and a construct measuring sports performance. The partial least squares path modeling was employed, as it is the most recognized method among the component-based approaches. The introduced method simultaneously encompasses latent and emergent variables. Rather than focusing only on objective behaviors or game/race outcomes, such an approach evaluates variables not directly observable related to sport performance, such as cognition and affect, considering measurement error and measurement invariance, as well as the validity and reliability of the obtained latent constructs. The obtained results could be an asset to design strategies and interventions both for coaches and swimmers establishing an innovative use of statistical methods for maximizing athletes’ performance and well-being.

scholarly journals Development of a Model to Predict love Trauma Syndrome in Students According to Personality Traits, Initial Maladaptive Schemas and Spiritual Health

2021 ◽  
Author(s):  
Marziyeh Etemadnia ◽  
◽  
Shohreh Shiroodi ◽  
Javad Khalatbari ◽  
Shahnam Abolghasemi ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Personality Traits ◽  
Structural Equation ◽  
Well Being ◽  
Spiritual Health ◽  
Model Fit ◽  
Equation Modeling ◽  
Maladaptive Schemas ◽  
Correlational Research

Objectives Love trauma syndrome is a common occurrence among college students that can result to psychological and educational problems. The current research supposed to illustrate the role of personality traits, early maladaptive Schemas and spiritual health in prediction of love trauma syndrome. Methods The present study was a correlational research based on structural equation modeling (SEM). The population includes all students of Tehran universities who suffers love trauma syndrome. 500 subjects were selected by cluster random sampling and answered the Love Trauma Inventory(LTI), Hexaco Personality Questionnaire(HEXACO), Young Schema Questionnaire(YSQ-SF) and Spirituality Index of Well-Being(SIWB). Data analysis was performed by structural equation modeling using LISREL software. Results SEM model showed a root mean square error of 0.043 which indicate good model fit. Conclusion The provided model for predicting LT syndrome was a good fitting model. Personality traits, early maladaptive schemes, and the spiritual health could predict LT syndrome. Extraversion, excitement, humility/honesty, sacrifice, abandonment/ instability and life plan are the best predictors for intensity of love trauma syndrome.

The Effect of Transformational Leadership and Well-Being on Performance of Soccer Players: An Inclusive Model

2021 ◽  
pp. 1-9
Author(s):  
Sinan Yildirim ◽  
Ziya Koruç
Keyword(s):  
Transformational Leadership ◽  
Negative Affect ◽  
Psychological Health ◽  
Structural Equation ◽  
Well Being ◽  
Sport Performance ◽  
Need Satisfaction ◽  
Soccer Players ◽  
Satisfaction With Life Scale ◽  
Equation Modeling

The current study focuses on the effect of transformational leadership on athletes’ performance in the mediation of psychological need satisfaction, burnout, competition anxiety, life satisfaction, and positive–negative affect. The sample consisted of 391 soccer players aged between 16 and 20 years. Six scales were used in this study: Multifactor Leadership Questionnaire, Needs Satisfaction Scale, Athlete Burnout Measure, Satisfaction with Life Scale, Positive and Negative Affect Scale, and Sport Competition Anxiety Test. The method of Vallerand was preferred to measure performance, and structural equation modeling was employed to analyze data. The model data fit was also verified. It was found that the transformational leadership behaviors of coaches signally influence athletes’ performance either directly or indirectly. From another perspective, increasing the psychological health or well-being of  athletes has important effects on sport performance.

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.

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