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A01=Holmes Finch
A01=W. Holmes Finch
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Exploratory Factor Analysis

★★★★★
★★★★★

English

By (author): Holmes Finch W. Holmes Finch

A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory Factor Analysis by W. Holmes Finch provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in EFA. The concluding chapter addresses a number of other key issues in EFA, such as determining the appropriate sample size for a given research problem, and the handling of missing data.  It also offers brief introductions to exploratory structural equation modeling, and multilevel models for EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website.  See more
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A01=Holmes FinchA01=W. Holmes FinchAge Group_UncategorizedAuthor_Holmes FinchAuthor_W. Holmes Finchautomatic-updateCategory1=Non-FictionCategory=GPSCategory=JHBCCategory=JMBCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€20 to €50PS=ActiveSN=Quantitative Applications in the Social Sciencessoftlaunch
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Product Details
  • Weight: 180g
  • Dimensions: 139 x 215mm
  • Publication Date: 03 Dec 2019
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781544339887

About Holmes FinchW. Holmes Finch

W. Holmes Finch (Ph.D. South Carolina) is the George and Frances Ball Distinguished Professor of Educational Psychology in the Department of Educational Psychology at Ball State University. Prior to coming to Ball State he worked as a consultant in the Statistics Department at the University of South Carolina for 12 years advising faculty and graduate students on the appropriate statistical methods for their research. Dr. Finch teaches courses in statistical and research methodology as well as psychometrics and educational measurement. His research interests involve issues in psychometrics including dimensionality assessment differential item functioning generalizability theory and unfolding models. In addition he pursues research in multivariate statistics particularly those involving nonparametric techniques. He is the co-author of Multilevel Modeling Using R (with Holden J.E. & Kelley K. CRC Press 2014); Applied Psychometrics Using SAS (with French B.F. & Immekus J. Information Age 2014); and Latent Variable Models in R (with French B.F. Routledge 2015).

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