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  • 1
    ISBN: 9781612903873 , 1612903878
    Language: English
    Pages: 1 online resource (xxii, 420 p.) , ill.
    Edition: 2nd ed.
    Parallel Title: Erscheint auch als
    Keywords: SAS (Computer file) ; Factor analysis ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: 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.
    Note: Includes bibliographical references and index. - Description based on print version record
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  • 2
    ISBN: 9781590474174 , 1590474171
    Language: English
    Edition: 2nd ed.
    Keywords: SAS (Computer file) ; Multivariate analysis ; Electronic books ; local
    Abstract: Updated for SA®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.
    Note: Includes bibliographical references and index
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