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An EasyGuide to Research Design & SPSS

An EasyGuide to Research Design & SPSS

296 pages | SAGE Publications, Inc
An EasyGuide to Experimental Design and SPSS is a handbook that provides clear and concise guidance for research methods students faced with the many decisions involved in developing the most appropriate strategy to test a hypothesis. By presenting an integrated approach to the choice of design and statistical analysis this handbook helps students connect the choice of experimental design with the choice of an appropriate statistical test for data analyses. The EasyGuide also presents the exact steps to analyze data in SPSS, including ample screenshots. The authors provide a how-to for interpreting the output from SPSS analyses, and they help students format the relevant SPSS output into an APA-style results section.
Section 1: Overview Basic Design Decisions
Chapter 1: Marriage – ‘Til Death Do Us Part
We Want to Help

Basic Steps of Research

Chapter 2: The Two Faces of Correlation
Correlation as a Research Design

Correlations as a Statistic

Chapter 3: Why Your Type fo Data Really Does Matter: Nominal, Ordinal, Interval, or Ratio
Nominal Data

Ordinal Data

Interval Data

Ratio Data

Chapter 4: To KISS (Keep It Simply Student) or to Complicate Matters: Nominal Data
How Many Variables Should I Include?

How Many Participants Should I Include

How Many Independent Variables ( IVs) Should I Include

Including More Than One Independnt Variables (IV)

Choosing the Number of Levels of Each Variable

Choosing Your Dependent Variables (DVs)

Avoiding the Un-Measurable Dependent Variables (DVs)

How Many Dependent Variables (DVs) To Include

Section II: Your Basic SPSS Tool Box
Chapter 5: Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes
The Structure of SPSS

Chapter 6: SPSS Data Hygiene: Columns, and Labels, and Values….Oh My.
When to Create Your Data File: Yes Even Before Data Collection

Setting Up Your Data File

Naming and Labeling Your Variables

How to Keep Track and Remember the Details of Your Data File

Creating New Variables in Your Data File: Transformations

Conducting Analyses With Only Parts of Your Collected Data

Chapter 7: Tell Me About It: Descriptive Statistics
Describing Nominal Data

Describing Ordinal Data

Describing Interval of Ratio Data

Describing Data with Two Samples

Section III: Designs, Statistics, Interpretaion, and Write-Up in APA Style
Chapter 8: Celebrate Your Independence!: Between-Groups Designs
One IV, Two Levels

Between Groups with 2 Levels of an IV

Independent-Samples T-Test with a Pseudo-IV

Between Groups with More than 2 Levels of an IV

Chapter 9: Everybody Plays!: Repeated-Measures Designs
One Independent Variable (IV) with Two-Levels

Expanding the Number of Levels for Your Independent Variable

Adding Another Factor: Within-Subjects Factorial Designs

Chapter 10: Complicating Matters: Advanced Research Designs
Mixed Designs: One Between Variable and One Repeated-Measures

A Multivariate Design: Measuring It All Including More Than One Dependent Variable In Your Design


Chapter 11: How do I know if That Relationship is Real? Correlations
Correlational Design: Two Variables

Interpreting Pearson’s r

Analyzing Your Data

Prediction with Two Variables: Simple Linear Regression

Prediction with Several Variables: Multiple Linear Regression

Chapter 12: Statistics Charades: Two Variables, Two Categories… it a Chi Square?
I Only Have One Question

One-way Chi Square With More Than Two Levels

Now I Only Have Two Questions

Section IV: Summary
Chapter 13: Mapping Your Decisions: You Can Get There From Here
Making Basic Decisions About Your Design

Data with Distinct Groups

Interval or Ratio Data with Many Levels

Chapter 14: Sample Results Sections for Each Type of Design
Independent-Samples T-Test (True IV)

Independent-Samples T-Test (Pseudo-IV)

One-Way, Between-Groups ANOVA (True IV)

Paired-Samples T-Test

One-Way, Within-Groups (Repeated-Measures) ANOVA

Two-Way, Within-Groups (Repeated-Measures) ANOVA

Pearson’s r Correlation

Pearson’s r Correlation and Regression

One-Way ?2

Two-Way ?2

Chapter 15: Did I do that? Taking Advice From the Experts
Questions About Research Design

Questions About Analyzing Your Data

Questions About Interpreting Your Data and Presenting Your Results

When Interpreting Your Data


...Competition for books like this is fierce and the core elements of the book under review are very good: the language is expressive and always engaging, the examples are excellent and the integration of statistics and design is an essential one.

Deaglan Page, School of Psychology, Queens University Belfast, Northern Ireland
Psychology Learning and Teaching

This is a good resource for beginner researchers who need to get more background on research designs, basic statistics and how to use SPSS. An interesting contribution is the chapter on the APA results sections where the writing up of the results are explained in detail.

Dr Ensa Johnson
Centre for Augmentative and Alternative Communication, University of Pretoria
October 8, 2015

Easy to read and understand, good illustrations making it easy for students to follow the steps through

Miss Desirée Jost
Dept of Economics and Business Studies, Justus-Liebig-University Giessen
June 8, 2015

Not adopted but will be included in additional readings for course.

Mrs Marie Valentin
My dept is not listed business, Palo Alto College
January 23, 2015

Some of the images in book unclear making it difficult to engage with the text

FHSC, London South Bank University
October 13, 2014

Step by step direction with extreemly useful screen shots to reassure the novice.

Ms Cath Wright
occupational therapy, University of Teesside
September 29, 2014

As a supplement for the class members who will be using SPSS for their research projects.

Dr Anita Bowles
Psychology Dept, San Jose State University
August 23, 2014

I have chosen to use this book as a resource for students, but not as the required text.

Dr Salvatore Terrasi
Counselor Education , Lesley University
July 15, 2014

Sample Materials & Chapters

Chapter 8

Chapter 13

Beth M. Schwartz

Beth M. Schwartz is the Provost and Professor of Psychology at Endicott College. Previously she served as Vice President for Academic Affairs and Provost and Professor of Psychology at Heidelberg University, in Tiffin, Ohio. Dr. Schwartz started her career on the faculty at Randolph College (founded as Randolph-Macon Woman's College) in Lynchburg, VA, where she served for 24 years. At Randolph she was the William E. and Catherine Ehrman Thoresen ‘23 Professor of Psychology and Assistant Dean of the College. She received a BA at Colby College (Maine) and a PhD in cognitive psychology at the State University of New York at... More About Author

Janie Hamn Wilson

Janie Wilson received her PhD in Experimental Psychology from the University of South Carolina in 1994. Since that time, she has been teaching and conducting research at Georgia Southern University. In the classroom, Dr. Wilson specializes in teaching and learning in statistics and research methods. Research interests include rapport in teaching based on empirical data on the first day of class, electronic communications, interactions with students in a traditional classroom, syllabus design, and the development and validation of the Professor-Student Rapport Scale. Recent publications include two brief texts with SAGE: An EasyGuide to... More About Author

Dennis M. Goff

Dennis M. Goff received his PhD in Experimental Psychology from Virginia Tech in 1985. He has been teaching and conducting research at Randolph College (formerly Randolph-Macon Woman’s College) since 1986. He specializes in teaching and learning in statistics and developmental psychology with a burgeoning interest in evolutionary psychology. In the past 27 years, he has mentored hundreds of senior psychology majors as they completed their independently designed research projects. In recent years, all of those seniors have presented their work at regional conferences, and a few have earned recognition for best undergraduate research... More About Author

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ISBN: 9781452288826