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.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

Investigating the Measurement of Consumer Ecological Behaviour, Environmental Knowledge, Healthy Food, and Healthy Way of Life

2014 ◽  
Vol 5 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Norazah Mohd Suki
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Measurement Model ◽  
Healthy Food ◽  
Environmental Knowledge ◽  
Equation Modeling ◽  
Future Research ◽  
Computer Programme ◽  
Way Of Life ◽  
Ecological Behaviour

The objective of this research is to investigate the measurement of consumer ecological behaviour, environmental knowledge, healthy food, and healthy way of life that is derived from the literature and survey. Correlations between environmental knowledge, healthy food, and healthy way of life with consumer ecological behaviour are also investigated. Statistical techniques were used to analyse the data using descriptive and exploratory factor analysis (EFA) with the computer programme Statistical Package for Social Sciences (SPSS) version 21. The latter was performed using principal component analysis and varimax rotation with the objective to test the underlying factor structure of the data. Next, confirmatory factor analysis (CFA) was executed via structural equation modeling (SEM) technique using analysis of moment structures (AMOS) computer programme version 21 in order to confirm the measurement model. CFA results show that the correlations between environmental knowledge, healthy way of life, and healthy food with consumer ecological behaviour were significant and supported, respectively. This study contributes to the extant literature on consumer ecological behaviour by developing a robust measure. Results offer a clearer perspective for companies to identify consumer ecological behaviour for better market segmentation, targeting and positioning of green products that are not harmful to the environment and could promote demands. The research implications are further explicated and the directions for future research are also elucidated.

scholarly journals Assessing the Unidimensionality of Clayton’s Environmental Identity Scale Using Confirmatory Factor Analysis (CFA) and Bifactor Exploratory Structural Equation Modeling (bifactor-ESEM)

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Paulo Moreira ◽  
Ana Loureiro ◽  
Richard Inman ◽  
Pablo Olivos-Jara
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Bifactor Model ◽  
Equation Modeling ◽  
Environmental Identity ◽  
Order Model ◽  
Exploratory Structural Equation Modeling ◽  
Confirmatory Factor

A relevant intrapersonal characteristic for understanding intentions and behavior toward environmental sustainability is the degree to which nature is important for a person’s self-definition. Clayton’s Environmental Identity (EID) scale purports to measure this construct. However, a limited number of prior exploratory studies of this measure have supported different factor structures. Hence, our initial aim was to develop an understanding of the dimensionality of Clayton’s 24-item EID scale by testing competing latent structures using confirmatory factor analysis. We analyzed self-reported data from 458 adults (Mage = 26.7 years; 81% female). Four a priori models (a first-order model, a second-order model, a unidimensional model, and a bifactor model) did not show satisfactory fit to the data. An ancillary analysis using bifactor exploratory structural equation modeling (bifactor-ESEM) indicated a bifactor model with three specific factors had a good fit to the data. The factor loadings of this model and values for bifactor indices (Omega Hierarchical and Explained Common Variance [ECV]) indicated a single mean score across all EID scale items taps into an essentially unidimensional construct and is therefore appropriate to interpret. In sum, our study provides a critical insight into the dimensionality of Clayton’s EID scale that will be valuable when applying this measure for research and intervention purposes.

scholarly journals Prediksi Minat Perilaku Menggunakan Jasa Pajak Elektronik: Analisis Faktor Konfirmatori

InFestasi ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 321
Author(s):  
Jullie J. Sondakh
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Behavioral Intention ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Confirmatory Factor

<p class="Ventura-Abstract">The purpose of this research is to predict the tax payer behavioral intention of using the e-SPT through the application of Technology Acceptance Model (TAM).</p><p class="Ventura-Abstract">This research used survey method to collect primary data from the population of tax payer in the city of Manado and Bitung with 156 respondents while using judgement sampling method.The data analysis is using Structural Equation Modeling (SEM) that consists of two steps; the measurement model and structural model. The focus of this research is on the first step of SEM modeling, which is the measurement model by using the Confirmatory Factor Analysis (CFA). The purpose of this analysis is to test the validity and reliability from the indicator of the construct or latent variable researched, thus, we will obtain the fit construct or latent variable before proceeding to the next step of SEM which is the structural model.Based on the confirmatory factor analysis (CFA), we obtained the validity test result, convergent validity, and reliability test result, construct reliability and variance extracted, from the indicator of construct or latent variable which are perceived usefulness, perceived ease of use, attitude towards e-SPT, and behavioral intention to use e-SPT. The reliabilty and validity test result showed that there is no indicator from all the tested latent variable to be excluded for the next step of Structural Equation Modeling (SEM)  which is the structural model.</p><p class="Ventura-Abstract"> </p><p class="Ventura-Abstract">Tujuan penelitian ini adalah melakukan prediksi minat perilaku wajib pajak menggunakan  e-SPT melalui penerapanTechnology Acceptance Model (TAM). Penelitian ini menggunakan metode survei untuk mengumpulkan data primer dari populasi yaitu wajib pajak di Kota Manado dan Bitung dengan jumlah sampel sebanyak 156 responden serta penentuan sampel berdasarkan metode  judgment sampling. Teknik analisis data menggunakan pemodelan Structural Equation Modeling (SEM) yang terdiri  dari dua tahapan yaitu model pengukuran (measurement model) dan model struktural (structural model). Fokus penelitian ini adalah pada pemodelan SEM tahap pertama yaitu model pengukuran (measurement model)  melalui  analisis faktor konfirmatori (Confirmatory Factor Analysis - CFA). Analisis ini  bertujuan  untuk menguji validitas dan reliabilitas dari indikator-indikator pembentuk konstruk atau variabel laten yang diteliti sehingga diperoleh  konstruk atau variabel laten yang fit  sebelum lanjut ke tahap pemodelan SEM berikutnya  yaitu model struktural. Berdasarkan analisis faktor konfirmatori (Confirmatory Factor Analysis - CFA) diperoleh hasil uji validitas yaitu signifikansi  factor loading (convergent validity) dan reliabilitas (construct reliability dan variance extracted) dari indikator pembentuk konstruk atau variabel laten kegunaan persepsian (Perceived Usefulness), kemudahan penggunaan persepsian (Perceived ease of use), sikap terhadap penggunaan  e-SPT (Attitude towards e-SPT) dan  minat perilaku  menggunakan e-SPT (Behavioral intention to use e-SPT). Hasil uji validitas dan reliabilitas ini menunjukan bahwa tidak ada indikator dari variabel kegunaan persepsian (Perceived Usefulness), kemudahan penggunaan persepsian (Perceived ease of use), sikap terhadap penggunaan  e-SPT (Attitude towards e-SPT) dan  minat perilaku  menggunakan e-SPT (Behavioral intention to use e-SPT) yang di hilangkan pada analisis selanjutnya yaitu pemodelan Structural Equation Modeling (SEM) tahap kedua  sehingga  dapat dilakukan estimasi model persamaan struktural (structural model).</p>

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.

Evaluating the construct validity of Stress Overload Scale-Short using exploratory structural equation modeling

2017 ◽  
Vol 25 (7) ◽  
pp. 913-921 ◽  
Author(s):  
Wenlong Mu ◽  
Wenjie Duan
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Negative Emotion ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Confirmatory Factor ◽  
Personal Vulnerability ◽  
Negative Emotion Symptoms

This study used exploratory structural equation modeling and confirmatory factor analysis to examine the construct validity of the Chinese version of Stress Overload Scale-Short, which included personal vulnerability and event load. The participants included 629 community residents and 495 university students. The results indicated a better goodness-of-fit using exploratory structural equation modeling compared with confirmatory factor analysis. The Stress Overload Scale-Short performed well in distinguishing individuals with more negative emotion symptoms from the general population. A moderation analysis demonstrated that social support moderates the effect of personal vulnerability on negative emotion symptoms. These results facilitated the application of Stress Overload Scale-Short in the current population.

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