One in a series of books co-published with SAS, this book provides a user-friendly introduction to both the SAS system and elementary statistical procedures for researchers and students in the Social Sciences. This Second Edition, updated to cover version 9 of the SAS software, guides readers step by step through the basic concepts of research and data analysis, to data input, and on to ANOVA (analysis of variance) and MANOVA (multivariate analysis of variance).

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

Norm O'Rourke

Larry Hatcher

Edward J. Stepanski

Computers & Technology

WA (Wiley-SAS)

APA Format: Quick, Simple, and Comprehensive This APA style user-friendly guide provides students and researchers with everything they need to prepare papers, posters, and slide presentations according to the guidelines of the Publication Manual of the American Psychological Association (2010): <ul>
<li>Simple, step-by-step instructions for using Microsoft Office Word® to write research papers in correct APA style.</li> <li>Comprehensive coverage of all sections of research manuscripts – from the title page to the appendices and all sections in-between.</li> <li>Simple instructions for preparing APA style references and in-text citations for paper, books, and online sources – all illustrated with clear examples.</li> <li>Detailed coverage of the Results section with special emphasis on best practices for reporting confidence intervals, effect size, and significance tests.</li> <li>Detailed coverage of t tests, ANOVA, and other elementary statistical procedures with multiple examples of how they should be reported in text, tables and figures.</li> <li>Complete example of a 40-page research manuscript in correct APA format.</li> <li>Step-by-Step instructions for using Microsoft Office PowerPoint® to create slide presentations or poster presentations for research conferences.</li> </ul>

APA Style for Papers, Presentations, and Statistical Results: The Complete Guide

Shadow Finch Media LLC

Doing statistics in JMP has never been easier! 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: A Step-by-Step Guide, authored by Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward Stepanski. Clearly written instructions 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, perform a wide range of JMP analyses, interpret the results, and more. Topics include: screening data for errors and selecting subsets with the JMP Distribution platform, 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), performing a multiple regression, and using the JMP Fit Model platform to perform a one-way multivariate analysis of variance (MANOVA). This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while 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: A Step-by-step Guide

Ann Lehamn

Software

SAS Institute

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Books by Larry Hatcher