Behavioral Research and Analysis: An Introduction to Statistics within

Description

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings. New in the Fourth Edition: Extensive... Read more

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings.

New in the Fourth Edition:

Extensive improvements based on suggestions from those using this book in the classroom

Statistical procedures that have been developed and validated since the previous edition

Each chapter in the body now contains relevant key words, chapter summaries, key word definitions, and end of chapter exercises (with answers)

Revisions to include recent changes in the APA Style Manual

When looking for a book for their own use, the authors found none that were totally suitable. They found books that either reviewed the basics of behavioral research and experimental design but provided only cursory coverage of statistical methods or they provided coverage of statistical methods with very little coverage of the research context within which these methods are used. No single resource provided coverage of methodology, statistics, and communication skills. In a classic example of necessity being the mother of invention, the authors created their own.

This text is ideal for a single course that reviews research methods, essential statistics through multi-factor analysis of variance, and thesis (or major project) preparation without discussion of derivation of equations, probability theory, or mathematic proofs. It focuses on essential information for getting a research project completed without prerequisite math or statistics training. It has been revised many times to help students at a variety of academic levels (exceptional high school students, undergraduate honors students, masters students, doctoral students, and post-doctoral fellows) across varied academic disciplines (e.g., human factors and ergonomics, behavioral and social sciences, natural sciences, engineering, exercise and sport sciences, business and management, industrial hygiene and safety science, health and medical sciences, and more).

Illustrating how to plan, prepare, conduct, and analyze an experimental or research report, the book emphasizes explaining statistical procedures and interpreting obtained results without discussing the derivation of equations or history of the method. Destined to spend more time on your desk than on the shelf, the book will become the single resource you reach for again and again when conducting scientific research and reporting it to the scientific community.

Illustrates how to plan, conduct, analyze, and prepare an experimental or research report

Includes new statistical procedures that have been developed and validated since the previous edition

Incorporates SAS in the exercises at the end of each chapter

Takes into account the changes in the APA guidebook

Provides new examples in exercise and sport science, public health, gerontology, and biomedical areas

Solutions manual available upon qualifying course adoption
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Overview of Scientific Research
Key Words
What Is Science?
Scientific Method
Goals, Principles, and Assumptions of Science
Five Basic Approaches to Scientific Research
Summary
Key Word Definitions
References
Exercises
Exercise Answers

Methods of Describing Data
Key Words
Samples and Populations
Consideration of Numbers in Statistics
Graphical Methods of Description
Univariate Frequency Distribution
Summary
Key Word Definitions
References
Exercises
Exercise Answers

Bivariate Descriptive Statistics
Key Words
Bivariate Frequency Distributions
Correlation: The Pearson r
Other Correlation Coefficients
Prediction and Concept of Regression
Summary
Key Word Definitions
References
Exercises
Exercise Answers

Simple Experimental Designs
Key Words
Introduction to Inferential Statistics
Statistical Hypothesis Testing
Two Randomized Groups Designs: t-Test for Independent Samples
Two Matched Groups and Repeated Measures Designs: t-Test for Correlated Data
Nonparametric Analysis
Testing for Significance of Correlation
Summary
Key Word Definitions
References
Exercises
Exercise Answers

Simple Analysis of Variance
Key Words
More Than Two Treatments Designs
Single-Factor (Simple) Analysis of Variance
ANOVA for More Than Two Randomized Groups Design
ANOVA for Repeated Measures Design
Post Hoc Analyses: Multiple Comparisons Among Means
Summary
Key Word Definitions
References
Exercises
Exercise Answers

Multifactor Analysis of Variance
Key Words
Rationale for Factorial Designs
Factorial Designs
Nested Designs
Types of Analysis of Variance Designs
Between-Groups Designs
Between-Groups (Random Blocks) Two-Factor ANOVA Designs
Within-Subjects (Repeated Measures) Two-Factor ANOVA Designs
Mixed Two-Factor ANOVA Designs
Summary
Key Word Definitions
References
Exercises
Exercise Answers

Planning, Conducting, and Reporting Research
Key Words
Planning and Conducting Study
Techniques for Controlling Extraneous Variables
Conducting an Experiment
Writing Research Report
Method
Results
Discussion
Summary
References
Summary
Key Word Definitions
References
Exercises
Exercise Answers
Appendix A: Statistical Tables
Appendix B: Glossary of Statistical Terms, Equations, and Symbols
Appendix C: Statistical Equations
Index

Author(s)

Biography

Max Vercruyssen, PhD, is the director of Hawaii Academy, a private school for lifetime fitness, gymnastics, and human sciences, where he also serves as chair of the research department and as head coach of the school's elitelevel trampoline gymnastics teams. For the past 15 years, Dr. Vercruyssen has reduced his research activities so that he and his wife, Dr. Donna Mah, could coach their four daughters in national and international championships.

He holds a bachelor's degree in experimental psychology; master's degrees in experimental and physiological psychology, exercise and sport sciences, and public health; a PhD in neuromuscular control, and pursued postdoctoral training to earn advanced certificates in ergonomics and gerontology. Most of his advanced statistics training was under Paul A. Games (Pennsylvania State University) and as required for experimental psychology, biostatistics, and longitudinal studies of aging.At the University of Southern California (USC), Dr. Vercruyssen served as assistant professor of human factors and ergonomics, director of the Human Factors Laboratory, and codirector of the Laboratory of Attention and Motor Performance in the Andrus Gerontology Center. He also helped develop the university's ergonomics graduate degree programs and mentored the first ergonomics majors in safety science. At the University of Hawaii, he was an associate professor in psychology, gerontology, and geriatric medicine.During the 1990s, Dr. Vercruyssen was also a research associate at the University of Minnesota's Center for Transportation Research, Institute of Intelligent Transportation Systems, and a distinguished fellow of gerontechnology at the Technical University of Eindhoven, Netherlands. Dr. Vercruyssen authored or coauthored over 200 refereed publications and presented papers at international scientific and technical conferences. Nine years of his university appointments involved teaching experimenta

Behavioral Research and Analysis An Introduction to Statistics within the Context of Experimental Design, Fourth Edition

Description

Table of Contents

Author(s)

Biography

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