Factor Structure of the Exercise Self-Efficacy Scale

Cornick, Jessica E.

doi:10.1080/1091367x.2015.1074579

Cited by 12 publications

(8 citation statements)

References 36 publications

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“…The bifactor model fit the data better than other plausible models, indicating a general postgraduate school application self-efficacy factor accounting for overlap across items, in addition to four distinct subfactors of Self-Promotion (SP), Resume/CV preparation (CV), Securing a Recommendation (LOR), and Standardized Test Preparation (STP). This is consistent with recent self-efficacy research, which has supported the use of bifactor structures for modeling career decision selfefficacy (Török et al, 2016), multicultural counseling self-efficacy (Sheu et al, 2012), and exercise self-efficacy (Cornick, 2015). A bifactor model that includes a general PSASE factor is conceptually consistent with the possibility that efficacy regarding the application process is intertwined with students' confidence in enacting more specific application behaviors regarding securing a letter of recommendation, promoting themselves, completing a resume/CV, and preparing for standardized tests.…”

Section: Discussionsupporting

confidence: 89%

The Development and Validation of a Scale Measuring Postgraduate School Application Self-Efficacy

Rowe-Johnson

Rice²,

Ali

2020

Journal of Career Assessment

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This study introduces a new construct to the literature that may impact students’ entrance into postgraduate programs: postgraduate school application self-efficacy. Although previous scholars have explored the admissions processes for a variety of disciplines and have developed a measure for graduate education self-efficacy, no measure has been developed to assess postgraduate school application self-efficacy (PSASE). Therefore, the purpose of this study was to develop and validate a measure of 423 undergraduate students’ PSASE. Parallel analyses, exploratory factor analyses, and confirmatory factor analyses were conducted to determine the underlying factor structure of the PSASE scale. Reliability and correlational analyses were also conducted to assess convergent and discriminant validity. Results revealed a conceptually interpretable, 16-item, four-factor solution that accounted for 80.88% of the total variance. Correlational analyses with graduate education self-efficacy and self-esteem provided evidence of convergent and discriminant validity for the PSASE subscales. Implications and future directions were explored.

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Section: Discussionsupporting

confidence: 89%

The Development and Validation of a Scale Measuring Postgraduate School Application Self-Efficacy

Rowe-Johnson

Rice²,

Ali

2020

Journal of Career Assessment

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“…In line with recent contributions examining the factorial structure of multifaceted self-efficacy measures in organisational and educational settings ( Barbaranelli, Fida, Paciello, & Tramontano, 2018 ; Cornick, 2015 ; Török, Tóth-Király, Bőthe, & Orosz, 2017 ; van Dinther, Dochy, Segers, & Braeken, 2013 ), a bifactor model was tested against three alternative models: 1) single factor (i.e., all items loading on a unique factors); 2) five first-order factors (i.e., subset of items loading on the corresponding theoretical factors, which are correlated to each other); 3) second-order factors (i.e., subset of items loading on the corresponding theoretical factors, which were then loaded onto a hierarchically higher factor). Bifactor models are particularly suitable for multifaceted constructs, where it is possible to hypothesise a general factor - accounting for the commonality shared by all the items - along with multiple specific factors - each one accounting for their unique influence on corresponding sub-set of items, above and beyond the general factor ( Brunner, Nagy, & Wilhelm, 2012 ; Chen, Hayes, Carver, Laurenceau, & Zhang, 2012 ; Chen, West, & Sousa, 2006 ).…”

Section: Introductionsupporting

confidence: 75%

Development and validation of the e-Work Self-Efficacy Scale to assess digital competencies in remote working

Tramontano

Grant

Clarke³

2021

Computers in Human Behavior Reports

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The COVID-19 pandemic accelerated the adoption of remote working practices worldwide. This has focussed attention on the need to identify the competencies employers and employees should train and develop to build digital resilience, enabling the benefits of remote working to be realised while mitigating potential risks. This contribution presents a multifaceted e-Work Self-Efficacy Scale, which supports a recently developed Digital Resilience Competency Framework (DRCF), assessing e-skills, trust building, self-care, remote social skills, and remote emotional self-efficacy beliefs. Data from 670 non-managerial employees (54.0% males) from a telecommunications company based in the Czech Republic were analysed, providing support for a bi-factor model. Latent Profile Analysis identified three clusters, characterised by different profiles: the Well-adjusted (with a reasonably good balance in engagement, satisfaction, and productivity), the Unhealthily dedicated (suffering some difficulties in setting boundaries), and the Distrustful self-shielding (the most compromised) remote workers. The results reinforce the importance of focusing on digital resilience competencies to promote sustainable, productive, engaging and healthy remote working. The e-Work Self-Efficacy Scale is a practical and effective organisational tool for managers and employees to use to assess and build digital resilience and sits alongside the Digital Resilience Competency Framework.

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“…Although a study conducted in the United States reported a single factor [13], most of the studies conducted in Asian countries have found that the ESES is multidimensional. The differences in psychological constructs between Eastern and Western cultures [30] may have contributed to such differences in beliefs about exercise habits.…”

Section: Discussionmentioning

confidence: 97%

“…Note that the adaptation and validation of the ESES in several countries have been conducted among unhealthy populations [9e12]. In a study of healthy undergraduate students from the United States, a twofactor model emerged [13]. A recent study on Malaysian university students simplified the ESES to 12 items and reported a threefactor structure [14].…”

Section: Introductionmentioning

confidence: 99%

The Indonesian Version of the Exercise Self-Efficacy Scale: Cross-cultural Adaptation and Psychometric Testing

Hakim

Wang

Widiantoro³

et al. 2020

Asian Nursing Research

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The study aimed to translate the Exercise Self-Efficacy Scale (ESES) into Indonesian and test the cultural equivalence, reliability, and validity of the new version for university students. Methods: The cross-sectional study recruited 379 Indonesian university students using convenience sampling. Phase 1, a culturally appropriate version of the ESES was developed in the Indonesian language. Phase 2, the psychometric properties were determined through exploratory factor analysis, bootstrap factor analysis, and confirmatory factor analysis. The internal consistency reliability was tested using Cronbach's a, whereas the stability using intraclass correlation coefficient to assess.Results: The students' ages ranged from 17 to 39 years, and 65.0% were women. For translation equivalence, the mean item content validity indexes ranged from 3.5 to 4, and all items were understandable. The 16-item scale exhibited cross-cultural appropriateness and readability, with a three-factor model explaining 62.3% of the variance in exercise self-efficacy. A bootstrap analysis using 100 resamples further confirmed the three-factor model. The indices of the good-fit model that used the three-factor by two-stage least squares method were satisfactory, with c 2 /df ¼ 3.3, goodness of fit index ¼ .88, and root mean-square error of approximation ¼ .05 (p < .001). The Cronbach's a was .78, .80, and .92 for factors 1, 2, and 3, respectively. The test-retest reliability was demonstrated with an intraclass correlation coefficient of .91, indicating adequate measurement stability. Conclusion:The 16-item ESES-I has acceptable validity and reliability; however, a broader application of the scale requires further testing in different populations to confirm its external validity.

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Factor Structure of the Exercise Self-Efficacy Scale

Cited by 12 publications

References 36 publications

The Development and Validation of a Scale Measuring Postgraduate School Application Self-Efficacy

The Development and Validation of a Scale Measuring Postgraduate School Application Self-Efficacy

Development and validation of the e-Work Self-Efficacy Scale to assess digital competencies in remote working

The Indonesian Version of the Exercise Self-Efficacy Scale: Cross-cultural Adaptation and Psychometric Testing

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