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A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling

A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling
Author: Larry Hatcher
Publisher: SAS Institute
Total Pages: 444
Release: 2013-03-01
Genre: Computers
ISBN: 1612903878

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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.


A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
Author: Ph. D. Norm O'Rourke
Publisher: SAS Institute
Total Pages: 444
Release: 2013-03-23
Genre: Computers
ISBN: 9781642952919

Download A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition Book in PDF, ePub and Kindle

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 users, even 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.


A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics

A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics
Author: Norm O'Rourke
Publisher: SAS Institute
Total Pages: 552
Release: 2005
Genre: Computers
ISBN: 1590474171

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Providing practice data inspired by actual studies, this book explains how to choose the right statistic, understand the assumptions underlying the procedure, prepare an SAS program for an analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association.


Applied Multivariate Analysis

Applied Multivariate Analysis
Author: Neil H. Timm
Publisher: Springer Science & Business Media
Total Pages: 709
Release: 2007-06-21
Genre: Mathematics
ISBN: 0387227717

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This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.


A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
Author: Norm O'Rourke, Ph.D., R.Psych.
Publisher: SAS Institute
Total Pages: 444
Release: 2013-03-23
Genre: Computers
ISBN: 1629592447

Download A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition Book in PDF, ePub and Kindle

This easy-to-understand guide makes SEM accessible to all users. 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.


Diet and Cancer

Diet and Cancer
Author: Elleny Balder
Publisher: Cuvillier Verlag
Total Pages: 159
Release: 2004
Genre:
ISBN: 3865372791

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Best Practices in Quantitative Methods

Best Practices in Quantitative Methods
Author: Jason W. Osborne
Publisher: SAGE
Total Pages: 609
Release: 2008
Genre: Social Science
ISBN: 1412940656

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The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.


Encyclopedia of Biopharmaceutical Statistics - Four Volume Set

Encyclopedia of Biopharmaceutical Statistics - Four Volume Set
Author: Shein-Chung Chow
Publisher: CRC Press
Total Pages: 2434
Release: 2018-09-03
Genre: Medical
ISBN: 1351110268

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Since the publication of the first edition in 2000, there has been an explosive growth of literature in biopharmaceutical research and development of new medicines. This encyclopedia (1) provides a comprehensive and unified presentation of designs and analyses used at different stages of the drug development process, (2) gives a well-balanced summary of current regulatory requirements, and (3) describes recently developed statistical methods in the pharmaceutical sciences. Features of the Fourth Edition: 1. 78 new and revised entries have been added for a total of 308 chapters and a fourth volume has been added to encompass the increased number of chapters. 2. Revised and updated entries reflect changes and recent developments in regulatory requirements for the drug review/approval process and statistical designs and methodologies. 3. Additional topics include multiple-stage adaptive trial design in clinical research, translational medicine, design and analysis of biosimilar drug development, big data analytics, and real world evidence for clinical research and development. 4. A table of contents organized by stages of biopharmaceutical development provides easy access to relevant topics. About the Editor: Shein-Chung Chow, Ph.D. is currently an Associate Director, Office of Biostatistics, U.S. Food and Drug Administration (FDA). Dr. Chow is an Adjunct Professor at Duke University School of Medicine, as well as Adjunct Professor at Duke-NUS, Singapore and North Carolina State University. Dr. Chow is the Editor-in-Chief of the Journal of Biopharmaceutical Statistics and the Chapman & Hall/CRC Biostatistics Book Series and the author of 28 books and over 300 methodology papers. He was elected Fellow of the American Statistical Association in 1995.


JMP for Basic Univariate and Multivariate Statistics

JMP for Basic Univariate and Multivariate Statistics
Author: Ann Lehman
Publisher: SAS Institute
Total Pages: 559
Release: 2013
Genre: Computers
ISBN: 1612906036

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Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition. Updated for JMP 10 and including new features on the statistical platforms, this book offers clearly written instructions to guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results clearly in a way that is suitable for publication, perform a wide range of JMP analyses, interpret the results, and more. Topics include screening data for errors selecting subsets computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale performing bivariate analyses for all types of variables performing a one-way analysis of variance (ANOVA), multiple regression, and a one-way multivariate analysis of variance (MANOVA) Advanced topics include analyzing models with interactions and repeated measures. There is also comprehensive coverage of principle components with emphasis on graphical interpretation. This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.