Advertisement
| factor analysis psychology example: Factor Analysis Richard L. Gorsuch, 2014-11-27 Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use. Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the inner workings of these methods. The new Introduction highlights the remarkably few changes that the author would make if he were writing the book today. An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book’s thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred. |
| factor analysis psychology example: An Easy Guide to Factor Analysis Paul Kline, 2014-02-25 Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, and concludes with a discussion of the use of the technique with various examples. 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). |
| factor analysis psychology example: A First Course in Factor Analysis Andrew L. Comrey, Howard B. Lee, 2013-11-12 The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention is given to the extraction problem, the rotation problem, and the interpretation of factor analytic results. Hence, readers are given a background of understanding in the the theory underlying factor analysis and then taken through the steps in executing a proper analysis -- from the initial problem of design through choice of correlation coefficient, factor extraction, factor rotation, factor interpretation, and writing up results. This revised edition includes introductions to newer methods -- such as confirmatory factor analysis and structural equation modeling -- that have revolutionized factor analysis in recent years. To help remove some of the mystery underlying these newer, more complex methods, the introductory examples utilize EQS and LISREL. Updated material relating to the validation of the Comrey Personality Scales also has been added. Finally, program disks for running factor analyses on either an IBM-compatible PC or a mainframe with FORTRAN capabilities are available. The intended audience for this volume includes talented but mathematically unsophisticated advanced undergraduates, graduate students, and research workers seeking to acquire a basic understanding of the principles supporting factor analysis. Disks are available in 5.25 and 3.5 formats for both mainframe programs written in Fortran and IBM PCs and compatibles running a math co-processor. |
| factor analysis psychology example: Confirmatory Factor Analysis for Applied Research, Second Edition Timothy A. Brown, 2015-01-07 This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities ... |
| factor analysis psychology example: Handbook of Research Methods in Personality Psychology Richard W. Robins, R. Chris Fraley, Robert F. Krueger, 2009-12-09 Bringing together leading investigators, this comprehensive handbook is a one-stop reference for anyone planning or conducting research on personality. It provides up-to-date analyses of the rich array of methodological tools available today, giving particular attention to real-world theoretical and logistical challenges and how to overcome them. In chapters filled with detailed, practical examples, readers are shown step by step how to formulate a suitable research design, select and use high-quality measures, and manage the complexities of data analysis and interpretation. Coverage ranges from classic methods like self-report inventories and observational procedures to such recent innovations as neuroimaging and genetic analyses. |
| factor analysis psychology example: Exploratory Factor Analysis W. Holmes Finch, 2019-09-05 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. |
| factor analysis psychology example: Problems and Solutions in Human Assessment Richard D. Goffin, Edward Helmes, 2012-12-06 The assessment of individual differences has generated shockwaves affecting sociology, education, and a number of other behavioral sciences as well as the fields of management and organizational behavior. In covering the assessment of individual differences, this book pays tribute to the interests and activities that Douglas N. Jackson has incorporated into his career as a psychologist. He continues to be a leader in putting academic findings to practical use. He has also inspired generations of students with his mastery of complex concepts and as a personal example of the ability to balance several simultaneous areas of research. Consistent with the focus of Jackson's research, the theme of this book will be how the use of deductive, construct-driven strategies in the assessment of individual differences leads to benefits in terms of the applicability of the assessment instruments and the clarity of the conclusions that can be drawn from the research. |
| factor analysis psychology example: Factor Analysis and Related Methods Roderick P. McDonald, 1985 First Published in 1985. Routledge is an imprint of Taylor & Francis, an informa company. |
| factor analysis psychology example: Exploratory Factor Analysis Leandre R. Fabrigar, Duane T. Wegener, 2012-01-12 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, and procedures for determining the appropriate number of factors. |
| factor analysis psychology example: Making Sense of Factor Analysis Marjorie A. Pett, Nancy R. Lackey, John J. Sullivan, 2003-03-21 Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs. This accessible volume will help both novice and experienced health care professionals to Increase their knowledge of the use of factor analysis in health care research Understand journal articles that report the use of factor analysis in test construction and instrument development Create new data collection instruments Examine the reliability and structure of existing health care instruments Interpret and report computer-generated output from a factor analysis run Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research offers a practical method for developing tests, validating instruments, and reporting outcomes through the use of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers. |
| factor analysis psychology example: Introduction to Factor Analysis Jae-On Kim, Charles W. Mueller, 1978-11 Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs. |
| factor analysis psychology example: Intelligence Paul Kline, 2013-04-15 Paul Kline's latest book provides a readable modern account of the psychometric view of intelligence. It explains factor analysis and the construction of intelligence tests, and shows how the resulting factors provide a picture of human abilities. Written to be clear and concise it none the less provides a rigorous account of the psychometric view of intelligence. |
| factor analysis psychology example: Statistics for Psychology Using R Vivek M. Belhekar, 2016-10-31 A unique textbook introducing and demonstrating the use of R in psychology. Statistics for Psychology Using R comprehensively covers standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used in the field of psychology and other social sciences. Its innovative structure and pedagogical approach coupled with numerous worked-out examples and self-assessment tests make it a user-friendly and easy-to-understand companion for students and scholars with limited background in statistics. The standout feature of this textbook is that it demonstrates the application of R—a free, flexible, and dynamically changing software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences. |
| factor analysis psychology example: Best Practices in Exploratory Factor Analysis Jason W. Osborne, 2014-07-23 Best Practices in Exploratory Factor Analysis (EFA) is a practitioner-oriented look at this popular and often-misunderstood statistical technique. We avoid formulas and matrix algebra, instead focusing on evidence-based best practices so you can focus on getting the most from your data.Each chapter reviews important concepts, uses real-world data to provide authentic examples of analyses, and provides guidance for interpreting the results of these analysis. Not only does this book clarify often-confusing issues like various extraction techniques, what rotation is really rotating, and how to use parallel analysis and MAP criteria to decide how many factors you have, but it also introduces replication statistics and bootstrap analysis so that you can better understand how precisely your data are helping you estimate population parameters. Bootstrap analysis also informs readers of your work as to the likelihood of replication, which can give you more credibility. At the end of each chapter, the author has recommendations as to how to enhance your mastery of the material, including access to the data sets used in the chapter through his web site. Other resources include syntax and macros for easily incorporating these progressive aspects of exploratory factor analysis into your practice. The web site will also include enrichment activities, answer keys to select exercises, and other resources. The fourth best practices book by the author, Best Practices in Exploratory Factor Analysis continues the tradition of clearly-written, accessible guides for those just learning quantitative methods or for those who have been researching for decades.NEW in August 2014! Chapters on factor scores, higher-order factor analysis, and reliability. Chapters: 1 INTRODUCTION TO EXPLORATORY FACTOR ANALYSIS 2 EXTRACTION AND ROTATION 3 SAMPLE SIZE MATTERS 4 REPLICATION STATISTICS IN EFA 5 BOOTSTRAP APPLICATIONS IN EFA 6 DATA CLEANING AND EFA 7 ARE FACTOR SCORES A GOOD IDEA? 8 HIGHER ORDER FACTORS 9 AFTER THE EFA: INTERNAL CONSISTENCY 10 SUMMARY AND CONCLUSIONS |
| factor analysis psychology example: A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling Larry Hatcher, Norm O'Rourke, 2013-03-01 Annotation Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easy-to-understand guide makes SEM accessible to all userseven those whose training in statistics is limited or who have never used SAS. It gently guides users through the basics of using SAS and shows how to perform some of the most sophisticated data-analysis procedures used by researchers: exploratory factor analysis, path analysis, confirmatory factor analysis, and structural equation modeling. It shows how to perform analyses with user-friendly PROC CALIS, and offers solutions for problems often encountered in real-world research. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures. |
| factor analysis psychology example: Confirmatory Factor Analysis for Applied Research Timothy A. Brown, 2014-12-29 With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website (www.guilford.com/brown3-materials) offers data and program syntax files for most of the research examples, as well as links to CFA-related resources. New to This Edition *Updated throughout to incorporate important developments in latent variable modeling. *Chapter on Bayesian CFA and multilevel measurement models. *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. *Utilizes the latest versions of major latent variable software packages. |
| factor analysis psychology example: Introduction to Statistics in Psychology Dennis Howitt, Duncan Cramer, 2008 Introduction to Statistics in Psychology4th edition is the complete guide to statistics for psychology students. Its range is exceptional in order to meet student needs throughout their undergraduate degree and beyond. By keeping to simple mathematics, step by step explanations of all the important statistical concepts, tests and procedures ensure that students understand data analysis properly. Pedagogical features such as ‘research design issues’, ‘calculations’ and the advice boxes help structure study into manageable sections whilst the overview and key points help with revision. Plus this 4th edition includes even more examples to bring to life how different statistical tests can be used in different areas of psychology. |
| factor analysis psychology example: Statistics and Research Methods in Psychology with Excel J.P. Verma, 2019-08-27 This book, specifically developed for students of psychology, covers a wide range of topics in statistics and research designs taught in psychology, in particular, and other disciplines like management, sociology, education, home science, and nutrition, in general, in most universities. It explains how to use Excel to analyze research data by elaborating statistical concepts. Each chapter contains sections like “Check you Computing skill” and “Check your Statistical Concepts” to enable students to assess their knowledge in a graded manner. The book addresses one of the major challenges in psychology research, viz., how to measure subjective phenomenon like attitude, desire, and preferences of an individual. Separate emphasis has been given to the measurement techniques which are essential tools to assess these subjective parameters in numerical form, required for statistical analysis to draw meaningful conclusions. The book is equally helpful to students of humanities, life sciences and other applied areas. Consisting of 14 chapters, the book covers all relevant topics of statistics and research designs which are important for students to plan and complete their research work. |
| factor analysis psychology example: The General Factor of Personality Janek Musek, 2017-05-04 The General Factor of Personality improves our understanding of the personality structure and the relations between major personality dimensions, as well as major dimensions of the entire non-cognitive sphere of psychological variables. The results of the empirical testing and theoretical evaluations in this book contribute to the more comprehensive and precise theoretical framework of the General Factor of Personality (GFP) and that of the entire personality structure. Additionally, the book answers some unresolved questions concerning the nature of the GFP, including whether it is based more on correlations in real behavior or on other less substantial factors between lower-order dimensions of personality. This book is crucially important not only for theoretical reasons, but also for the tremendous practical and applied value of the assumed general dimension of personality. As a common denominator of all the most important fields of personality beyond cognition (Big Five, well-being, coping, emotionality, motivation, self-concept, self-esteem, control, wisdom and others), the GFP represents an extremely strong single predictor of the quality of life, mental health and well-being, career, academic success, and the quality of family and interpersonal relations. - Reviews the theoretical and methodological work on the General Factor of Personality (GFP) - Presents major research results in the field of GFP and the dimensional structure of personality - Provides a balanced and objective approach to the topic of GFP, addressing criticisms and controversies - Considers the practical and applied aspects of this research - Draws conclusions on the bioevolutionary model of GFP to give a more thorough understanding of biological bases of human personality |
| factor analysis psychology example: Statistics for Marketing and Consumer Research Mario Mazzocchi, 2008-05-22 Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each method as well as showing how they are applied. The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including: - 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots) - 136 multiple choice questions for tests This is augmented by in-depth discussion of topics including: - Sampling - Data management and statistical packages - Hypothesis testing - Cluster analysis - Structural equation modelling |
| factor analysis psychology example: Handbook of Psychological Testing Paul Kline, 2013-11-12 Since publication in its first edition the Handbook of Psychological Testing has become the standard text for organisational and educational psychologists. It offers the only comprehensicve, modern and clear account of the whole of the field of psychometrics. It covers psychometric theory, the different kinds of psychological test, applied psychological testing, and the evaluation of the best published psychological tests. It is outstanding for its detailed and complete coverage of the field, its clarity (even for the non-mathematical) and its emphasis on the practical application of psychometric theory in psychology and education, as well as in vocational, occupational and clinical fields. For this second edition the Handbook has been extensively revised and updated to include the latest research and thinking in the field. Unlike other work in this area, it challenges the scientific rigour of conventional psychometrics and identifies groundbreaking new ways forward. |
| factor analysis psychology example: Factor Analysis Edward E. Cureton, Ralph B. D'Agostino, 2013-11-19 First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company. |
| factor analysis psychology example: Individual Differences and Personality Michael C. Ashton, 2013-03-21 How do we come to be who we are? Why do we differ in our personalities? How do these differences matter in life? Individual Differences and Personality aims to describe how and why personality varies among people. Unlike books that focus on individual theorists, this book focuses on current research and theory on the nature of personality and related individual differences. The book begins by discussing how personality is measured, the concept of a personality trait, and the basic dimensions of personality. This leads to a discussion of the origins of personality, with descriptions of its developmental course, its biological causes, its genetic and environmental influences, and its evolutionary function. The concept of a personality disorder is then described, followed by a discussion of the influence of personality on life outcomes in relationships, work, and health. Finally, the book examines the important differences between individuals in the realms of mental abilities, of beliefs and attitudes, and of behavior. - Presents a scientific approach to personality and related individual differences, as well as theory and research on the fundamental questions about human psychological variation - New edition presents findings from dozens of new research studies of the past six years - Includes new chapter on vocational interests and a revised chapter on personality disorders reflecting DSM-5 formulation - Contains streamlined descriptions of measurement concepts and heritability research - Includes various boxes containing interesting asides that help to maintain the student's attention |
| factor analysis psychology example: Assessing Measurement Invariance for Applied Research Craig S. Wells, 2021-06-03 This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data. |
| factor analysis psychology example: Handbook of Applied Multivariate Statistics and Mathematical Modeling Howard E.A. Tinsley, Steven D. Brown, 2000-05-22 Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities. |
| factor analysis psychology example: Statistical Approaches to Measurement Invariance Roger E. Millsap, 2012-03-29 This book reviews the statistical procedures used to detect measurement bias. Measurement bias is examined from a general latent variable perspective so as to accommodate different forms of testing in a variety of contexts including cognitive or clinical variables, attitudes, personality dimensions, or emotional states. Measurement models that underlie psychometric practice are described, including their strengths and limitations. Practical strategies and examples for dealing with bias detection are provided throughout. The book begins with an introduction to the general topic, followed by a review of the measurement models used in psychometric theory. Emphasis is placed on latent variable models, with introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided. Measurement invariance and bias in the context of multiple populations is defined in chapter 3 followed by chapter 4 that describes the common factor model for continuous measures in multiple populations and its use in the investigation of factorial invariance. Identification problems in confirmatory factor analysis are examined along with estimation and fit evaluation and an example using WAIS-R data. The factor analysis model for discrete measures in multiple populations with an emphasis on the specification, identification, estimation, and fit evaluation issues is addressed in the next chapter. An MMPI item data example is provided. Chapter 6 reviews both dichotomous and polytomous item response scales emphasizing estimation methods and model fit evaluation. The use of models in item response theory in evaluating invariance across multiple populations is then described, including an example that uses data from a large-scale achievement test. Chapter 8 examines item bias evaluation methods that use observed scores to match individuals and provides an example that applies item response theory to data introduced earlier in the book. The book concludes with the implications of measurement bias for the use of tests in prediction in educational or employment settings. A valuable supplement for advanced courses on psychometrics, testing, measurement, assessment, latent variable modeling, and/or quantitative methods taught in departments of psychology and education, researchers faced with considering bias in measurement will also value this book. |
| factor analysis psychology example: Contributions to Correlational Analysis Robert J. Wherry, 2014-05-10 Contributions to Correlational Analysis provides information pertinent to the fundamental aspects of correlational analysis that can be used to replace and enhance many of the parametric and nonparametric inferential statistical tests. This book discusses the basic concern of correctional analysis, which is the relationship between two sets of measure. Organized into 18 chapters, this book begins with an overview of the nature of correction analysis. This text then explains the simple linear relationships in which explains the simple linear relationships in which Y and X each consists of some single measurement per person and the relationship is assumed to be linear. Other chapters consider basic ways of expanding the process to include more or different measurements of either X or Y but with no attempt to find the best functions. This book discusses as well the topic of factor analysis. The final chapter deals with canonical correlation. This book is a valuable resource for psychologists. |
| factor analysis psychology example: Places Rated Almanac David Savageau, 1993 This sometimes controversial bestseller, completely updated with all new statistics, is packed with timely facts and unbiased information on more than 300 metropolitan areas in the U.S. and Canada. Each city is ranked according to costs of living, crime rates, cultural life, and environmental factors. |
| factor analysis psychology example: The SAGE Handbook of Quantitative Methodology for the Social Sciences David Kaplan, 2004-06-21 Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook. |
| factor analysis psychology example: Factor Analysis Raymond Bernard Cattell, 1973 |
| factor analysis psychology example: The Measurement of Health and Health Status Paul Krabbe, 2016-10-07 The Measurement of Health and Health Status: Concepts, Methods and Applications from a Multidisciplinary Perspective presents a unifying perspective on how to select the best measurement framework for any situation. Serving as a one-stop shop that unifies material currently available in various locations, this book illuminates the intuition behind each method, explaining how each method has special purposes, what developments are occurring, and how new combinations among methods might be relevant to specific situations. It especially emphasizes the measurement of health and health states (quality-of-life), giving significant attention to newly developed methods. The book introduces technically complex, new methods for both introductory and technically-proficient readers. - Assumes that the best measure depends entirely on the situation - Covers preference-based methods, classical test theory, and item response theory - Features illustrations and animations drawn from diverse fields and disciplines |
| factor analysis psychology example: Factor Analysis Jae-On Kim, Charles W. Mueller, 1978-11 Describes various commonly used methods of initial factoring and factor rotation. In addition to a full discussion of exploratory factor analysis, confirmatory factor analysis and various methods of constructing factor scales are also presented. |
| factor analysis psychology example: Scale Construction and Psychometrics for Social and Personality Psychology Mike Furr, 2011-02-15 Providing conceptual and practical foundations in scale construction and psychometrics for producers and consumers of social/personality research, this guide covers basic principles, practices, and processes in scale construction, scale evaluation, scale use, and interpretation of research results in the context of psychological measurement. It explains fundamental concepts and methods related to dimensionality, reliability, and validity. In addition, it provides relatively non-technical introductions to special topics and advanced psychometric perspectives such as Confirmatory Factor Analysis, Generalizability Theory, and Item Response Theory. The SAGE Library in Social and Personality Psychology Methods provides students and researchers with an understanding of the methods and techniques essential to conducting cutting-edge research. Each volume within the Library explains a specific topic and has been written by an active scholar (or scholars) with expertise in that particular methodological domain. Assuming no prior knowledge of the topic, the volumes are clear and accessible for all readers. In each volume, a topic is introduced, applications are discussed, and readers are led step by step through worked examples. In addition, advice about how to interpret and prepare results for publication are presented. |
| factor analysis psychology example: Learning Statistics with R Daniel Navarro, 2013-01-13 Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com |
| factor analysis psychology example: Foundations of Factor Analysis Stanley A Mulaik, 2009-09-25 Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling. This long-awaited e |
| factor analysis psychology example: Factor analysis and principal component analysis Di Franco, Marradi, 2013 |
| factor analysis psychology example: Communication Research Statistics John C. Reinard, 2006-04-20 While most books on statistics seem to be written as though targeting other statistics professors, John Reinard′s Communication Research Statistics is especially impressive because it is clearly intended for the student reader, filled with unusually clear explanations and with illustrations on the use of SPSS. I enjoyed reading this lucid, student-friendly book and expect students will benefit enormously from its content and presentation. Well done! --John C. Pollock, The College of New Jersey Written in an accessible style using straightforward and direct language, Communication Research Statistics guides students through the statistics actually used in most empirical research undertaken in communication studies. This introductory textbook is the only work in communication that includes details on statistical analysis of data with a full set of data analysis instructions based on SPSS 12 and Excel XP. Key Features: Emphasizes basic and introductory statistical thinking: The basic needs of novice researchers and students are addressed, while underscoring the foundational elements of statistical analyses in research. Students learn how statistics are used to provide evidence for research arguments and how to evaluate such evidence for themselves. Prepares students to use statistics: Students are encouraged to use statistics as they encounter and evaluate quantitative research. The book details how statistics can be understood by developing actual skills to carry out rudimentary work. Examples are drawn from mass communication, speech communication, and communication disorders. Incorporates SPSS 12 and Excel: A distinguishing feature is the inclusion of coverage of data analysis by use of SPSS 12 and by Excel. Information on the use of major computer software is designed to let students use such tools immediately. Companion Web Site! A dedicated Web site includes a glossary, data sets, chapter summaries, additional readings, links to other useful sites, selected calculators for computation of related statistics, additional macros for selected statistics using Excel and SPSS, and extra chapters on multiple discriminant analysis and loglinear analysis. Intended Audience: Ideal for undergraduate and graduate courses in Communication Research Statistics or Methods; also relevant for many Research Methods courses across the social sciences |
| factor analysis psychology example: Applied Psychometrics Robert Ladd Thorndike, 1982-01 |
| factor analysis psychology example: The Psychology of Humor Rod A. Martin, Thomas Ford, 2018-07-14 Most of us laugh at something funny multiple times during a typical day. Humor serves multiple purposes, and although there is a sizable and expanding research literature on the subject, the research is spread in a variety of disciplines. The Psychology of Humor, 2e reviews the literature, integrating research from across subdisciplines in psychology, as well as related fields such as anthropology, biology, computer science, linguistics, sociology, and more. This book begins by defining humor and presenting theories of humor. Later chapters cover cognitive processes involved in humor and the effects of humor on cognition. Individual differences in personality and humor are identified as well as the physiology of humor, the social functions of humor, and how humor develops and changes over the lifespan. This book concludes noting the association of humor with physical and mental health, and outlines applications of humor use in psychotherapy, education, and the workplace. In addition to being fully updated with recent research, the second edition includes a variety of new materials. More graphs, tables, and figures now illustrate concepts, processes, and theories. It provides new brief interviews with prominent humor scholars via text boxes. The end of each chapter now includes a list of key concepts, critical thinking questions, and a list of resources for further reading. - Covers research on humor and laughter in every area of psychology - Integrates research findings into a coherent conceptual framework - Includes brain imaging studies, evolutionary models, and animal research - Integrates related information from sociology, linguistics, neuroscience, and anthropology - Explores applications of humor in psychotherapy, education, and the workplace - Provides new research, plus key concepts and chapter summaries |
| factor analysis psychology example: Measuring and Analyzing Behavior in Organizations Fritz Drasgow, 2002 This title brings together advances in measurement and data analysis and discusses the range of problems that can be addressed with these approaches. It examines most important areas of measurement, applied statistics, research methods, and data analysis. |
FACTOR - LinkedIn
Since our inception in 1979, FACTOR® has been committed to providing companies in the petroleum marketing and convenience store industries with proven industry-leading software, …
FACTOR, INC. - LinkedIn
Formerly named Visual Risk Technologies, FACTOR has been solving challenging risk management problems in the transportation, energy, chemical, insurance, and public sectors …
Factor Corp - LinkedIn
Developing Futures, Building Today | Factor Corp is at the forefront of property development and construction, crafting innovative spaces that elevate lifestyles and set new benchmarks in quality.
FACTOR GROUP LLC - LinkedIn
Factor Group is proud to have been named one of Florida’s Best Companies to Work For in 2009. We have a team of over 150 employees and offices in the United States and Latin America.
Factor - LinkedIn
Factor | 1,416 followers on LinkedIn. Unlocking the hidden insights that enable marketing leaders to make trusted decisions and drive success. | Factor is your go-to data librarian.
Factor Fellowship - LinkedIn
The Factor Fellowship connects New York’s diverse high-performing emerging leaders to careers in startups. | Built by NYC VCs and startups, Factor connects top talent to startup careers.
Factor San Francisco - LinkedIn
Factor makes the internet beautiful. And businesses more profitable. We're a results-driven creative agency, with fully-remote talent working across the US and Canada.
FACTOR - LinkedIn
Since our inception in 1979, FACTOR® has been committed to providing companies in the petroleum marketing and convenience store industries with proven industry-leading software, process ...
FACTOR, INC. - LinkedIn
Formerly named Visual Risk Technologies, FACTOR has been solving challenging risk management problems in the transportation, energy, chemical, insurance, and public sectors since 1997.
Factor Corp - LinkedIn
Developing Futures, Building Today | Factor Corp is at the forefront of property development and construction, crafting innovative spaces that elevate lifestyles and set new benchmarks in quality.
FACTOR GROUP LLC - LinkedIn
Factor Group is proud to have been named one of Florida’s Best Companies to Work For in 2009. We have a team of over 150 employees and offices in the United States and Latin America.
Factor - LinkedIn
Factor | 1,416 followers on LinkedIn. Unlocking the hidden insights that enable marketing leaders to make trusted decisions and drive success. | Factor is your go-to data librarian.
Factor Fellowship - LinkedIn
The Factor Fellowship connects New York’s diverse high-performing emerging leaders to careers in startups. | Built by NYC VCs and startups, Factor connects top talent to startup careers.
Factor San Francisco - LinkedIn
Factor makes the internet beautiful. And businesses more profitable. We're a results-driven creative agency, with fully-remote talent working across the US and Canada.
