Updated for SAS®9, this second edition is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics. Clear explanations and simple language guide you through the research terminology, data input, data manipulation, and types of statistical analysis that are most commonly used in the social and behavioral sciences. Providing practice data inspired by actual studies, this book teaches you how to choose the right statistic, understand the assumptions underlying the procedure, prepare the SAS program for the analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association. Step by step you will learn how to perform the following types of analysis: simple descriptive statistics, measures of bivariate association, t tests: independent samples and paired samples, NOVA and MANOVA, multiple regression, principal component analysis, and assessing scale reliability with coefficient alpha. This text is ideally suited to students who are beginning their study of data analysis, and to professors and researchers who want a handy reference on their bookshelf.

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition

Computers & Technology

Hatcher PH.D., Larry

O'Rourke PH.D. R.Psych., Norm

Stepanksi PH.D., Edward J

Computer Science

SAS Institute

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 
<ul>
<li>screening data for errors </li>
<li>selecting subsets </li>
<li>computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale </li>
<li>performing bivariate analyses for all types of variables </li>
<li>performing a one-way analysis of variance (ANOVA), multiple regression, and a one-way multivariate analysis of variance (MANOVA) </li>
</ul> 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.

JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition

O'Rourke Ph.D, Norm

Stepanski Ph.D., Edward J.

Lehman, Ph.D. Ann

Software

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 Factor Analysis and Structural Equation Modeling, Second Edition

Updated for SAS 9, A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition, is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics. Clear explanations and simple language guide you through the research terminology, data input, data manipulation, and types of statistical analysis that are most commonly used in the social and behavioral sciences. Providing practice data inspired by actual studies, this book teaches you how to choose the right statistic, understand the assumptions underlying the procedure, prepare the SAS program for the analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association. Step by step, authors Norm O'Rourke, Larry Hatcher, and Edward Stepanski demonstrate how to perform the following types of analysis: simple descriptive statistics, measures of bivariate association, t tests for independent samples and paired samples, ANOVA and MANOVA, multiple regression, principal component analysis, and assessing scale reliability with coefficient alpha. This text is ideally suited to students who are beginning their study of data analysis, and to professors and researchers who want a handy reference on their bookshelf.

See the best price to sell, buy, or rent books by Hatcher PH.D., Larry. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Hatcher PH.D., Larry

See the best price to sell, buy, or rent books by Hatcher PH.D., Larry. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition

JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition

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 Univariate and Multivariate Statistics, Second Edition