scholarly journals Passion Scale: Psychometric Properties and Factorial Invariance via Exploratory Structural Equation Modeling (ESEM)

2019 ◽  
Vol 29 ◽  
Author(s):  
Evandro Morais Peixoto ◽  
Tatiana de Cássia Nakano ◽  
Ricardo Almeida Castillo ◽  
Leonardo Pestillo Oliveira ◽  
Marcos Alencar Abaide Balbinotti
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Structural Equation ◽  
Measurement Model ◽  
Factorial Invariance ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Brazilian Version ◽  
Theoretical Hypothesis ◽  
Adaptation Processes

Abstract Passion is an important element among the psychological processes involved in the performance of any activity, including sports practice. Given the scarcity of nationally valid and reliable instruments, this study has the purpose of presenting the adaptation processes of the Passion Scale to the Brazilian context. A total of 789 Brazilian athletes (age:16.62±3.20; 58.4% men) participated in the study. To evaluate their psychometric properties, the scale dimensionality was estimated through the Hull method and Exploratory Structural Equation Modeling, and the accuracy by composite reliability. The factorial invariance model was estimated between men and women, and between participants of different competitive levels. Results showed the two-factor structure of the scale, according to the theoretical hypothesis, with desirable accuracy indicators. Equivalence of the measurement model was demonstrated when evaluating participants of different sexes and different competitive levels. Results suggest adequacy of the Brazilian version for the evaluation of this construct.

The relationship between attraction, perception of service, opportunities and tourist satisfaction in backwater tourism in Alappuzha district of Kerala in India

2021 ◽  
pp. 146735842110440
Author(s):  
Legy Clara Joseph ◽  
Vasanthi Soundararajan ◽  
Satyanarayana Parayitam
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Conceptual Model ◽  
Structural Equation ◽  
Positive Relationship ◽  
Measurement Model ◽  
Equation Modeling ◽  
Tourist Satisfaction ◽  
Tourism And Hospitality ◽  
The Relationship

This article aims to explore the relationships between destination attractions, tourists’ awareness of eco-tourism and facilities, level of perceived service, opportunities and problems, and tourist satisfaction in backwater tourism in Kerala, India. Using a structured survey instrument, we gathered data from 586 tourists. A conceptual model was developed and tested after checking the psychometric properties of the instrument. We tested the measurement model using the Lisrel package (structural equation modeling), and Hayes (2018) process macros were used to test the moderation hypotheses. The results confirm that (i) attraction and opportunities are positively related to tourist satisfaction, (ii) perception of service positively moderates the relationship between attraction and tourist satisfaction, (iii) perception of service (first moderator) and awareness (second moderator) interact to influence the relationship between attraction and tourist satisfaction, and (iv) problems negatively moderate the positive relationship between opportunities and tourist satisfaction. The implications for the literature on tourism and hospitality and practicing managers are discussed.

scholarly journals Psychometric properties of the Chalder Fatigue Scale revisited: an exploratory structural equation modeling approach

2015 ◽  
Vol 24 (9) ◽  
pp. 2273-2278 ◽  
Author(s):  
Ted C. T. Fong ◽  
Jessie S. M. Chan ◽  
Cecilia L. W. Chan ◽  
Rainbow T. H. Ho ◽  
Eric T. C. Ziea ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Modeling Approach

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.

scholarly journals Psychometric Properties of the Chinese Bermond–Vorst Alexithymia Questionnaire: An Exploratory Structural Equation Modeling Study

2021 ◽  
Vol 15 ◽  
pp. 183449092199142
Author(s):  
Zhihao Wang ◽  
Ting Wang ◽  
Katharina S. Goerlich ◽  
Riddhi J. Pitliya ◽  
Bob Bermond ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Affective Factors ◽  
Confirmatory Factor ◽  
Affective Components ◽  
Acceptable Reliability ◽  
Tas 20

The Toronto Alexithymia Scale-20 (TAS-20) has been widely used to assess alexithymia. The Bermond–Vorst Alexithymia Questionnaire (BVAQ) assesses two additional features of alexithymia—the affective factors of emotionalizing and fantasizing, which are not included in the TAS-20. However, there is currently no Chinese version of the BVAQ. Here, the authors collected data from 439 college students (293 females, aged 17–27, mean ± SD = 20.25 ± 1.88) to evaluate the psychometric properties for a Chinese BVAQ translation. Exploratory structural equation modeling and confirmatory factor analysis provided satisfactory validity and acceptable reliability for a six-factor first-order solution of a 35-item Chinese BVAQ. This adaptation retained the five original BVAQ factors (identifying, analyzing, verbalizing, emotionalizing, and fantasizing) and further specified the factor of identifying (successful identifying and unsuccessful identifying feelings). The authors also found a two-factor second-order model of cognitive and affective components for alexithymia in the Chinese population. Higher correlations with the TAS-20 were observed for identifying, analyzing, and verbalizing feelings (0.34 ∼ 0.61) relative to fantasizing and emotionalizing (0.02 ∼ −0.05). These results support the construct validity of the adaptation. This work provides a reliable and valid Chinese adaptation of the BVAQ.

Psychometric Properties of the Body Checking Questionnaire (BCQ) and of the Body Checking Cognitions Scale (BCCS): A Bifactor-Exploratory Structural Equation Modeling Approach

Assessment ◽  
2019 ◽  
pp. 107319111985841
Author(s):  
Christophe Maïano ◽  
Alexandre J. S. Morin ◽  
Annie Aimé ◽  
Geneviève Lepage ◽  
Stéphane Bouchard
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Eating Attitudes ◽  
The Body ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Body Checking ◽  
Two Measures

This research sought to assess the psychometric properties of the French versions of the Body Checking Questionnaire and the Body Checking Cognitions Scale among community samples. A total sample of 922 adolescents and adults was involved in a series of two studies. The results from the first study supported factor validity and reliability of responses obtained on these two measures, and showed that both measures were best represented by a bifactor-exploratory structural equation modeling representation of the data. The results from the second study replicated these conclusions, while also supporting the measurement invariance of the bifactor-exploratory structural equation modeling solution and the equivalence of the correlations among the two measures (i.e., convergent validity) across samples. This second study also supported the criterion-related validity of ratings on both measures with measures of global self-esteem, physical appearance, social physique anxiety, fear of negative appearance evaluation, and disturbed eating attitudes and behaviors. Finally, the results of this last study also supported the measurement invariance and lack of differential item functioning of both measures in relation to sex, age, diagnosis of eating disorders, and body mass index.

The Measurement Structure of School Engagement Among Youth in China: An Exploratory Structural Equation Modeling Study

2017 ◽  
Vol 37 (3) ◽  
pp. 280-292
Author(s):  
Jingtong Pan ◽  
Jonathan F. Zaff
Keyword(s):  
Structural Equation Modeling ◽  
School Engagement ◽  
Structural Equation ◽  
Measurement Model ◽  
Female Students ◽  
Emotional Engagement ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Current Sample ◽  
11Th Grade

In this research, we examined the construct of a school engagement scale using exploratory structural equation modeling (ESEM). This study involved a translated measurement model that was originally developed by Li and Lerner for U.S. youth, and data from a sample of eighth-, ninth-, and 11th-grade Chinese adolescents ( N = 364). First, the results indicated that instead of the three factors (cognitive, emotional, and behavioral engagement) that have been found in previous research on school engagement, four factors emerged for the current sample: school compliance, participation, emotional engagement, and cognitive engagement. Second, the factor structure was gender invariant in the ESEM framework. We further found that female students scored higher than males on school compliance and emotional engagement. Third, the convergent correlations among school engagement subscales and academic performance were in line with theoretical expectations. Finally, based on the differences between this study and previous studies in Western countries, the need for a more thorough investigation in the conceptualization and measurement of school engagement among youth in China was discussed.

Coaching Efficacy and Exploratory Structural Equation Modeling: A Substantive-Methodological Synergy

2011 ◽  
Vol 33 (6) ◽  
pp. 779-806 ◽  
Author(s):  
Nicholas D. Myers ◽  
Melissa A. Chase ◽  
Scott W. Pierce ◽  
Eric Martin
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Future Research ◽  
Model Data ◽  
Single Group ◽  
Exploratory Structural Equation Modeling ◽  
Coaching Efficacy

The purpose of this article was to provide a substantive-methodological synergy of potential importance to future research in sport and exercise psychology. The substantive focus was to improve the measurement of coaching efficacy by developing a revised version of the coaching efficacy scale (CES) for head coaches (N = 557) of youth sport teams (CES II-YST). The methodological focus was exploratory structural equation modeling (ESEM), a methodology that integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) within the general structural equation model (SEM). The synergy was a demonstration of how ESEM (as compared with CFA) may be used, guided by content knowledge, to develop (or confirm) a measurement model for the CES II-YST. A single-group ESEM provided evidence for close model-data fit, while a single-group CFA fit significantly worse than the single-group ESEM and provided evidence for only approximate model-data fit. A multiple-group ESEM provided evidence for partial factorial invariance by coach’s gender.

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