Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results

by Larry Hatcher

Overview

Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results is the simple, nontechnical introduction to the most complex multivariate statistics presented in empirical research articles.

wwwStatsInResearch.com, is a companion website that provides free sample chapters, exercises, and PowerPoint slides for students and teachers. A free 600-item test bank is available to instructors.

Advanced Statistics in Research does not show how to perform statistical procedures--it shows how to read, understand, and interpret them, as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold: multiple regression, logistic regression, discriminant analysis, ANOVA, ANCOVA, MANOVA, factor analysis, path analysis, structural equation modeling, meta-analysis--and more.

Advanced Statistics in Research assumes that you have never had a course in statistics. It begins at the beginning, with research design, central tendency, variability, z scores, and the normal curve. You will learn (or re-learn) the big-three results that are common to most procedures: statistical significance, confidence intervals, and effect size. Step-by-step, each chapter gently builds on earlier concepts. Matrix algebra is avoided, and complex topics are explained using simple, easy-to-understand examples.

Need help writing up your results? Advanced Statistics in Research shows how data-analysis results can be summarized in text, tables, and figures according to APA format. You will see how to present the basics (e.g., means and standard deviations) as well as the advanced (e.g., factor patterns, post-hoc tests, path models, and more).

Advanced Statistics in Research is appropriate as a textbook for graduate students and upper-level undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.

Product Details

ISBN-13:	9780985867003
Publisher:	Shadow Finch Media LLC
Publication date:	01/07/2013
Edition description:	New Edition
Pages:	646
Sales rank:	637,555
Product dimensions:	6.80(w) x 9.80(h) x 1.40(d)

About the Author

Larry Hatcher, Ph.D. is Professor of Psychology at Saginaw Valley State University in Saginaw, Michigan. He is author or co-author of six textbooks on statistics and data analysis, including A Step-by-Step Approach to Using SAS® for Univariate & Multivariate Statistics and the widely-cited A Step-by-Step Approach to Using the SAS® System for Factor Analysis and Structural Equation Modeling.

Table of Contents

What This Book Will Do

Basic Concepts in Research and Statistics

Central Tendency, Variability, And Descriptive Statistics

Z Scores and Area Under the Normal Curve

The Big-Three Results in Research Articles

Bivariate Correlation

Bivariate Regression

Partial Correlation and Statistical Control

Multiple Regression I: Basic Concepts

Multiple Regression Ii: Advanced Concepts

Discriminant Analysis

Logistic Regression

MANOVA and ANOVA

Analysis of Covariance (ANCOVA)

Exploratory Factor Analysis

SEM I: Path Analysis with Manifest Variables

SEM II: Confirmatory Factor Analysis

SEM III: Path Analysis with Latent Factors

Meta-Analysis

Learning More About Statistics

Appendix A: Questionnaire on Eating and Exercising

Appendix B: Basics of APA Format (And How This Book Sometimes Deviates)

Appendix C: Statistical Tables

References

Index

Editorial Reviews

Readers say about Hatcher's books:

wonderful discovery

is worth the time spending on

Best statistics book I've ever had

the author explains difficult stats concepts very well and in an easy-to-understand way

Very useful, readable book

Explains concepts in a conventional (as opposed to theoretical way)

wonderful explanations in basic English

From the Publisher