A Step By Step Approach To Using Sas For Univariate And Multivariate Statistics Second Edition


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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

language: en

Publisher: SAS Institute

Release Date: 2005


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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.

A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition


A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition

Author: Norm O'Rourke

language: en

Publisher: Wiley-Interscience

Release Date: 2008-03-14


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This set contains: 9780471469445 A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, Second Edition by Norm O'Rourke, Larry Hatcher, Edward J. Stepanski, SAS Institute Inc and 9780471226185 An Introduction to Categorical Data Analysis, Second Edition by Alan Agresti.

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.

language: en

Publisher: SAS Institute

Release Date: 2013-03-23


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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.