Exploratory Factor Analysis Spss
- A process in which the values of observed data are expressed as functions of a number of possible causes in order to find which are the most important
- (factor analytic) factor analytical: of or relating to or the product of factor analysis
- Factor analysis is a statistical method used to describe variability among observed variables in terms of a potentially lower number of unobserved variables called factors.
- any of several methods for reducing correlational data to a smaller number of dimensions or factors; beginning with a correlation matrix a small number of components or factors are extracted that are regarded as the basic variables that account for the interrelations observed in the data
- In the afternoon RiverBend Academy offers classes that meet 1-3 times per week. These classes are designed to offer background information and generate project ideas.
- serving in or intended for exploration or discovery; “an exploratory operation”; “exploratory reconnaissance”; “digging an exploratory well in the Gulf of Mexico”; “exploratory talks between diplomats”
- study: a study investigating an entirely new area of research. Unlike replications, an exploratory study does not follow directly from an existing study. (p. 469)
- Relating to or involving exploration or investigation
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- SPSS is a computer program used for statistical analysis. Between 2009 and 2010 the premier software for SPSS was called PASW (Predictive Analytics SoftWare) Statistics. The company announced July 28, 2009 that it was being acquired by IBM for US$1.2 billion.
- A software program that facilitates quantitative analysis.
exploratory factor analysis spss – An Easy
An Easy Guide to Factor Analysis is the clearest, most comprehensible introduction to factor analysis for students. All those who need to use statistics in psychology and the social sciences will find it invaluable.
Paul Kline is Professor of Psychometrics at the University of Exeter. He has been using and teaching factor analysis for thirty years. His previous books include Intelligence: the psychometric view (Routledge 1990) and The Handbook of Psychological Testing (Routledge 1992).
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exploratory factor analysis spss
This book provides a non-mathematical introduction to the underlying theory of EFA and reviews the key decisions that must be made in its implementation. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the use of principal components analysis versus common factor analysis, procedures for determining the appropriate number of factors, and methods for rotating factor solutions. Explanations and illustrations of the application of different factor analytic procedures are provided for analyses using common statistical packages (SPSS and SAS), as well as a free package available on the web (Comprehensive Exploratory Factor Analysis). In addition, practical instructions are provided for conducting a number of useful factor analytic procedures not included in the statistical packages.