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An EasyGuide to Research Design & SPSS

An EasyGuide to Research Design & SPSS

© 2015 | 296 pages | SAGE Publications, Inc
An EasyGuide to Research Design & SPSS provides clear and concise guidance for selecting the most appropriate design and statistical analysis to test a research hypothesis. By connecting experimental design with an appropriate statistical test for data analysis, the EasyGuide details the exact steps for inputting and analyzing data in SPSS, offers a “how-to” for interpreting the output from SPSS analyses, and provides guidance in formatting SPSS output into APA style.
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
November 16, 2016

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
Key features


  • Explains the tie between research design, statistical choice, and understanding of results
  • Covers methods and statistics coursework required of all psychology majors
  • Offers an ideal introduction for students new to the discipline and those wishing to refamiliarize themselves with the basics of research design and statistical analysis
  • Addresses in detail the pitfalls in testing hypotheses and interpreting data
  • Offers students step-by-step guidance on reading SPSS output
  • Screenshots provide a visual reference to reinforce concepts discussed in the EasyGuide

Sample Materials & Chapters

Chapter 8

Chapter 13

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ISBN: 9781452288826