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Furthering development of the Eating Disorder Examination-Pregnancy Version (EDE-PV): Exploratory factor analysis and psychometric performance among a community sample of pregnant individuals with body mass index ≥ 25. [PDF]
Eat DisordJouppi RJ +4 more
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Exploratory Factor Analysis [PDF]
, 1988 The purpose of this chapter is to provide an overview of exploratory analysis to guide users in selecting appropriate procedures. While it will occasionally be necessary to present some new material to aid in selection of appropriate techniques, no new techniques are presented here.
Ira H. Bernstein +2 more
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visualizing exploratory factor analysis models [PDF]
Research Papers in Economics, 2008 Exploratory factor analysis (EFA) is an important tool in data analyses, particularly in social science. Usually four steps are carried out which contain a large number of options. One important option is the number of factors and the association of variables with a factor. Our tools aim to visualize various models with different numbers in parallel of
Sigbert Klinke, Cornelia Wagner
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2011
In many areas of psychology, and other disciplines in the behavioural sciences, often it is not possible to measure directly the concepts of primary interest. Two obvious examples are intelligence and social class. In such cases, the researcher is forced to examine the concepts indirectly by collecting information on variables that can be measured or ...
Brian Everitt, Torsten Hothorn
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In many areas of psychology, and other disciplines in the behavioural sciences, often it is not possible to measure directly the concepts of primary interest. Two obvious examples are intelligence and social class. In such cases, the researcher is forced to examine the concepts indirectly by collecting information on variables that can be measured or ...
Brian Everitt, Torsten Hothorn
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2018
Chapter 6 argues that exploratory factor analysis is an abductive method of theory generation that exploits a principle of scientific inference known as the principle of the common cause. Factor analysis is an important family of multivariate statistical methods that is widely used in the behavioral and social sciences.
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Chapter 6 argues that exploratory factor analysis is an abductive method of theory generation that exploits a principle of scientific inference known as the principle of the common cause. Factor analysis is an important family of multivariate statistical methods that is widely used in the behavioral and social sciences.
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Exploratory and Confirmatory Factor Analysis
2018This chapter consists of data-driven examples of how factor analysis as a statistical tool can be applied in music education research. The chapter presents examples of how factor analysis methods can be used to identify latent variables, which in turn can be used to represent a broad set of measured variables.
Kenneth Elpus, Peter Miksza
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Multivariate Exploratory Data Analysis: A Perspective on Exploratory Factor Analysis.
Biometrics, 1989Multivariate Exploratory Data Analysis: A Perspective on Exploratory Factor Analysis. By A. Yates. ISBN 0 88706 538 4 (hardbound), 0 88706 539 2 (paperbound). State University of New York, Albany, 1987. 354 pp. $59.50 (hardbound), $19.95 (paperbound).
B. S. Everitt, A. Yates
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Principal component analysis and exploratory factor analysis
Statistical Methods in Medical Research, 1992In this paper we compare and contrast the objectives of principal component analysis and exploratory factor analysis. This is done through consideration of nine examples. Basic theory is presented in appendices. As well as covering the standard material, we also describe a number of recent developments.
IT Joliffe, Bjt Morgan
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