A Beginner's Guide to Factor Analysis: Focusing on Exploratory Factor Analysis
An Gie Yong,Sean Pearce +1 more
- Vol. 09, Iss: 2, pp 79-94
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TLDR
An overview of the statistical technique and how it is used in various research designs and applications is given, to develop a better understanding of when to employ factor analysis and how to interpret the tables and graphs in the output.Abstract:
The following paper discusses exploratory factor analysis and gives an overview of the statistical technique and how it is used in various research designs and applications. A basic outline of how the technique works and its criteria, including its main assumptions are discussed as well as when it should be used. Mathematical theories are explored to enlighten students on how exploratory factor analysis works, an example of how to run an exploratory factor analysis on SPSS is given, and finally a section on how to write up the results is provided. This will allow readers to develop a better understanding of when to employ factor analysis and how to interpret the tables and graphs in the output.read more
Citations
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Journal ArticleDOI
One Size Doesn’t Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research
TL;DR: The aspects of validity that researchers should consider when using surveys are reviewed and factor analysis is focused on, a statistical method that can be used to collect an important type of validity evidence.
Journal ArticleDOI
Exploratory factor analysis: Current use, methodological developments and recommendations for good practice
TL;DR: In this article, the authors reviewed ten years of studies containing exploratory factor analysis and compared them with new methodological options, focusing on four major issues: an adequate sample size, the extraction method, the rotation method and the factor retention criterion determining the number of factors.
Journal ArticleDOI
Travellers' self-protections against health risks: An application of the full Protection Motivation Theory
TL;DR: In this article, the authors conducted semi-structured interviews and an online survey and found that both threat and coping appraisals can enhance tourists' protection motivations, which in turn affect their actual behaviors.
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A deep learning approach for detecting malicious JavaScript code
TL;DR: A new deep learning framework for detection of malicious JavaScript code, from which the architecture obtained the highest detection accuracy compared with the control group, and logistic regression as a classifier was used.
Journal ArticleDOI
The age of mobile social commerce: An Artificial Neural Network analysis on its resistances
TL;DR: Zhang et al. as discussed by the authors found that all resistances positively correlated with usage intention, except for image barrier, which appeared to be the most influencing resistance, and the possible coexistence of resistance behavior and usage intention resembles the fitting justification.
References
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Book
Discovering Statistics Using SPSS
Andy P. Field,Jeremy N.V. Miles +1 more
TL;DR: Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SAS(R).
Book
Applied Multivariate Statistics for the Social Sciences
TL;DR: In this article, the authors focus on a conceptual understanding of the material rather than proving results and stress the importance of checking the data, assessing the assumptions, and ensuring adequate sample size so that the results can be generalized.
Journal ArticleDOI
The Application of Electronic Computers to Factor Analysis
TL;DR: A survey of available computer programs for factor analytic computations and a analysis of the problems of the application of computers to factor analysis.
Journal Article
Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from Your Analysis
TL;DR: In this paper, the authors collect, in one article, information that will allow researchers and practitioners to understand the various choices available through popular software packages, and to make decisions about "best practices" in exploratory factor analysis.