Factor Analysis and Related Methods

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A01=Roderick P. McDonald
advanced psychometric methods
approximate
Approximate Simple Structure
Author_Roderick P. McDonald
Behavior Domain
Category=JHBC
common
Common Factor Analysis
Common Factor Model
Common Factor Scores
confirmatory
confirmatory factor analysis applications
COSAN Model
covariance structure analysis
covariances
Data Set
educational measurement techniques
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exploratory Common Factor Analysis
Factor Score Estimates
Factor Scores
Good Estimation Procedure
Independent Clusters Model
Invariant Factors Model
Item Characteristic Curve
Item Parameters
item response modeling
Latent Trait
Latent Trait Model
latent variable modeling
LISREL
LISREL Model
loadings
model
Monotone Regression Function
Normal Ogive
quantitative behavioral research
Rasch Model
regression
Regression Weights
residual
Residual Covariance Matrix
Residual Covariances
simple
weights

Product details

  • ISBN 9780898593884
  • Weight: 498g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Jan 1985
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Factor Analysis is a genetic term for a somewhat vaguely delimited set of techniques for data processing, mainly applicable to the social and biological sciences. These techniques have been developed for the analysis of mutual relationships among a number of measurements made on a number of measurable entities. In the broad sense, factor analysis comprises a number of statistical models which yield testable hypotheses -- hypotheses that may confirm or disconfirm in terms of the usual statistical procedures for making tests of significance. It also comprises a number of simplifying procedures for the approximate description of data, which do not in any sense constitute disconfirmable hypotheses, except in the loose sense that they supply approximations to the data. In literature, the two types of analysis have often been confused.

This book clarifies the concepts of factor analysis for students or professionals in the social sciences who wish to know the technique, rather than the mathematics, of factor theory. Mathematical concepts are described to have an intuitive meaning for the non-mathematical reader. An account of the elements of matrix algebra, in the appendix, and the (mathematical) notes following each chapter will help the reader who wishes to receive a more advanced treatment of the subject. Factor Analysis and Related Methods should prove a useful text for graduate and advanced undergraduate students in economics, the behavioral sciences, and education. Researchers and practitioners in those fields will also find this book a handy reference.

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