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What is Exploratory Factor Analysis (EFA)

Chapter 15
Methods for Analyzing and Leveraging Online Learning Data
A statistical procedure that identifies underlying structures and relationships among measured variables resulting in summary data (unnamed related factors or components), usually applied to scale responses to surveys; often used prior to confirmatory factor analysis (informed by a priori hypothesizing).
Published in Chapter:
An Exploratory Factor Analysis of an Open-Access Virtual “Privilege Walk” Instrument
Copyright: © 2019 |Pages: 57
DOI: 10.4018/978-1-5225-7528-3.ch015
Abstract
A virtual “privilege walk” is an interactive survey that helps a respondent consider the role of unfair advantage in social relationships and where he or she stands in relation to social power based on family life, access to resources, social positioning and embodiment, and other factors. In 2014, at Kansas State University, an open-access virtual privilege walk was created to align with the launch of a graduate social justice certificate program. This chapter explores that privilege walk instrument through (1) a computational text analysis, (2) descriptive statistics around the responses to the instrument, and (3) an exploratory factor analysis (based on three years of anonymous data) to see how well the underlying factors align with the intended factors and to find directions for improving the instrument.
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Chapter 11
Development of an E-Service Quality Model (eSQM) to Assess the Quality of E-Service
Used as a theory generating procedure. It is used to uncover the underlying structure of a relatively large set of variables and identifies representative variables from a much larger set of variables for use in subsequent multivariate analysis.
Published in Chapter: Development of an E-Service Quality Model (eSQM) to Assess the Quality of E-Service; From: Strategies and Tools for Managing Connected Consumers
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Chapter 1
Computational Thinking Self-Efficacy Perception for Progressive Learning in Malaysia: A Study of Validity and Reliability
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