Use of exploratory factor analysis in maritime research

Maskey, Reenu; Fei, Jiangang; Nguyen, Hong-Oanh

doi:10.1016/j.ajsl.2018.06.006

Cited by 192 publications

(125 citation statements)

References 44 publications

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“…The study obtained and applied the results of exploratory factor analysis (with varimax rotation) for the 30 observed variables. The loading factor of each of the 30 indicators was above 0.5 therefore, it was deemed successful and statistically relevant [49]. Babin and Anderson [46] identified loadings such as ±0.30=minimal, ±0.40=important and ±0.50= essentially substantial using another thumb rule.…”

Section: Discussionmentioning

confidence: 99%

Project-Based Learning Conceptual Framework for Integrating Soft Skills Among Students of Technical Colleges

et al. 2020

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In most professions, the value of soft skills has been recognized and many companies make decisions on employment and performance assessment based in part on the soft skills of workers. Project-Based Learning (PjBL), in its nature as a pedagogical method, has the capability of harnessing the potential of students in soft skills. The purpose of this study was to develop a PjBL conceptual framework for integrating soft skills among students of technical colleges. The population goal for the study was made up of 372 technical teachers from 22 government technical colleges across the sample area. Considering the heterogeneous complexity of the population from which the survey is extracted, the stratified technique of random sampling was used to choose the 295 participants for the study. Through Confirmatory Factor Analysis (CFA) models the chi-square values, modification indices, and standardized estimates were developed using Analysis Moment of Structures (AMOS). Structural Equation Modeling (SEM) was used to check the model's causal relationship by the application of AMOS version 20. The study findings revealed PjBL preparation (planning), application, commitment, and assessment techniques each to have a positive significant impact on soft skill improvement among students of technical colleges. On the other hand, the study found that facilitation in project-based learning has a significant yet negative relation to integrating soft skills among students at the technical colleges. Interestingly, the outcome of this research suggests that PjBL in technical colleges will have a substantial positive impact on the integration of soft skills among the students. Based on the finding of the study, the government should provide adequate facilities for appropriate PjBL activities to enhance the integration of soft skills. Technical teachers should employ the PjBL identified elements in the teaching and learning of at technical colleges for effective incorporation of soft skills among the students. INDEX TERMS Soft skills, technical colleges, project-based learning, technical vocational education and training.

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Section: Discussionmentioning

confidence: 99%

Project-Based Learning Conceptual Framework for Integrating Soft Skills Among Students of Technical Colleges

et al. 2020

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“…EFA data analysis was utilized in factor analysis of the 38 observed indicators for the indicator grouping process. We considered only factors with a loading factor of ≥0.3 [31]. There were 26 such indicators for the measurement model analysis process.…”

Section: Normality and Correlationmentioning

confidence: 99%

Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ)

et al. 2020

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The purposes of this research are (1) to create a motorcycle riding behavior measurement model for a Thai population by Motorcycle Rider Behavior Questionnaire (MRBQ) modification with exploratory factor analysis (EFA); (2) to verify the measurement model by second-order confirmatory factor analysis (second-order CFA); and (3) to define the guidelines of the self-assessment report for Thai people in terms of riding motorcycles. Collected data were distributed among four areas: metro-municipalities, municipalities, district municipalities, and non-municipalities from five regions. The sample consisted of 1516 motorcycle riders who were at least 20 years old. Of these riders, 91.4% had motorcycle riding licenses, 84.4% had over five years of experience in motorcycle riding, 75.5% used a motorcycle to go to work/study, and 82.1% used a helmet sometimes. Exploratory factor analysis (EFA) and second-order confirmatory factor analysis (second-order CFA) were used for measurement model creation. The results presented 26 indicators that were confirmed to compose the motorcycle riding behavior of Thai people at a statistical significance level of α = 0.05; these were separated into four factors, namely, traffic error, control error, stunts, and safety equipment. The results of this MRBQ study can inform future study of the motorcycle riding behavior of Thai people.

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“…Items with factor loadings less than 0.4 were deleted one by one in increasing order of factor loadings and factor analyses were run several times to get a simple structure (Maskey, Fei, & Nguyen, 2018). Maskey et al (2018), in a review of 35 EFA based studies, found that a factor loading of 0.4 is widely taken as a cut-off value in such studies (Cerit, 2000;Pantouvakis, 2006;Dahl, Fenstad, & Kongsvik, 2014;Field, 2009). In addition, items were also checked for their Eigenvalue respective impact on the cumulative scale reliability (α = .70).…”

Section: Preliminary Data Analysismentioning

confidence: 99%

Reexamining construct validity of the Short Dark Triad (SD3) scale

Siddiqi¹,

Shahnawaz²,

Nasir³

2020

Current Issues in Personality Psychology

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BackgroundThe conceptualization of negative personality has evolved over the last few decades but the scientific assessment of negative traits is still at a nascent stage. The present study aimed to test the construct and external validity of the Short Dark Triad (SD3) scale, one of the most widely used scales to measure the dark triad, by conducting three independent studies.Participants and procedureExploratory factor analysis (EFA) was conducted on 379 participants and confirmatory bifactor analysis was carried out on a sample of 414 participants. Additionally, an independent sample of 168 participants was used to test the external validity of SD3.ResultsIn study 1, after the triarchic model was disconfirmed by a confirmatory factor analysis (CFA), an EFA was run on the original 27-item scale, which produced a two-factor model consisting of a dark dyad and narcissism. This was followed by a confirmatory bifactor analysis in study 2, which revealed that while Machiavellianism and psychopathy are better measured as manifestations of a general negative disposition, narcissism emerges as a distinct trait which is not significantly captured by the dark core of personality. Moreover, study 3 revealed that dark dyad is a better correlate and predictor of negative traits as com-pared to narcissism.ConclusionsIn keeping with these findings, we propose that narcissism should be measured holistically with equal emphasis on all its con-stituents and facets and that the intrinsic dimensionality of these traits must be captured while scoring. Implications and future directions are duly discussed.

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Use of exploratory factor analysis in maritime research

Cited by 192 publications

References 44 publications

Project-Based Learning Conceptual Framework for Integrating Soft Skills Among Students of Technical Colleges

Project-Based Learning Conceptual Framework for Integrating Soft Skills Among Students of Technical Colleges

Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ)

Reexamining construct validity of the Short Dark Triad (SD3) scale

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