Description: Exploratory Factor Analysis by Leandre R. Fabrigar, Duane T. Wegener This book provides a non-mathematical introduction to the theory and application of Exploratory Factor Analysis. 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Exploratory Factor Analysis (EFA) has played a major role in research conducted in the social sciences for more than 100 years, dating back to the pioneering work of Spearman on mental abilities. Since that time, EFA has become one of the most commonly used quantitative methods in many of the social sciences, including psychology, business, sociology, education, political science, and communications. To a lesser extent, it has also been utilized within the physicaland biological sciences. Despite its long and widespread usage in many domains, numerous aspects of the underlying theory and application of EFA are poorly understood by researchers. Indeed, perhaps nowidely used quantitative method requires more decisions on the part of a researcher and offers as wide an array of procedural options as EFA does. 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, proceduresfor 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 foranalyses 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. Author Biography Leandre R. Fabrigar is Associate Professor of Psychology at Queens University. He received his PhD in Psychology with a minor in Quantitative Psychology in 1995 from the Ohio State University. His primary research and teaching falls within the domains of attitudes, quantitative methods (including factor analysis and structural equation modeling), and psychological measurement. His research has been supported by grants from the Social Science and HumanitiesResearch Council of Canada, Canadian Institutes of Health Research, and the Ontario Problem Gambling Research Centre.Duane T. Wegener is Professor of Psychology at the Ohio State University and held previous faculty positions at Yale University and Purdue University. He received his PhD in Psychology with a minor in Quantitative Psychology in 1994 from Ohio State University. His primary research and interests are in attitudes and social cognition. He also teaches undergraduate and graduate statistics and research methods. His research has been supported by grants from the U. S. National Science Foundation,Canadian Institutes of Health Research, and U.S. National Institutes of Health. He received the Early Career Award from the American Psychological Association in 2001 for contributions to socialpsychology. Table of Contents Chapter 1: Introductory Factor Analysis ConceptsChapter 2: Requirements for and Decisions in Choosing Exploratory Common Factor AnalysisChapter 3: Requirements and Decisions for Implementing Exploratory Common Factor AnalysisChapter 4: Factor Analysis AssumptionsChapter 5: Implementing and Interpreting Exploratory Factor AnalysisChapter 6: Summary, Conclusions, and Recommendations Long Description Exploratory Factor Analysis (EFA) has played a major role in research conducted in the social sciences for more than 100 years, dating back to the pioneering work of Spearman on mental abilities. Since that time, EFA has become one of the most commonly used quantitative methods in many of the social sciences, including psychology, business, sociology, education, political science, and communications. To a lesser extent, it has also been utilized within the physicaland biological sciences. Despite its long and widespread usage in many domains, numerous aspects of the underlying theory and application of EFA are poorly understood by researchers. Indeed, perhaps no widely used quantitative method requires more decisions on the part of a researcher and offers aswide an array of procedural options as EFA does. 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 providedfor conducting a number of useful factor analytic procedures not included in the statistical packages. Feature Selling point: Discusses factor analytic procedures that are either relatively new or traditionally have not been widely used in past researchSelling point: Stresses the applicability of many practices in confirmatory factor analysis and structural equation modeling (e.g., use of model fit indices) for the context of EFASelling point: Offers practical instruction for conducting analyses that are not readily available in standard statistical programs such as SPSS and SAS Details ISBN0199734178 Author Duane T. Wegener Short Title EXPLORATORY FACTOR ANALYSIS Pages 176 Series Understanding Statistics Language English ISBN-10 0199734178 ISBN-13 9780199734177 Media Book Format Paperback DEWEY 001.422 Imprint Oxford University Press Inc Place of Publication New York Country of Publication United States UK Release Date 2012-01-12 Year 2012 Publication Date 2012-01-12 AU Release Date 2012-01-12 NZ Release Date 2012-01-12 US Release Date 2012-01-12 Qualifications PhD Edited by James J. Fawcett Birth 1938 Death 1851 Affiliation Former Professor of International Commerical Law, University of Nottingham Position Former Professor of International Commerical Law Publisher Oxford University Press Inc Illustrations 10 B/W, 10 HT Audience Postgraduate, Research & Scholarly We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:97825529;
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ISBN-13: 9780199734177
Book Title: Exploratory Factor Analysis
Number of Pages: 176 Pages
Language: English
Publication Name: Exploratory Factor Analysis
Publisher: Oxford University Press Inc
Publication Year: 2012
Item Height: 209 mm
Item Weight: 206 g
Type: Textbook
Author: Duane T. WEGENER, Leandre R. Fabrigar
Subject Area: Social Research
Item Width: 141 mm
Format: Paperback