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An EasyGuide to Research Design & SPSS
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An EasyGuide to Research Design & SPSS

Second Edition


© 2019 | 312 pages | SAGE Publications, Inc

An EasyGuide to Research Design and SPSS® is an essential resource for students to successfully navigate and complete research projects. Using a clear, concise, and conversational writing style, authors Beth M. Schwartz, Janie H. Wilson, and Dennis M. Goff cover all of the most basic and common designs and analyses that students need to know for appropriately testing a hypothesis. The handbook includes step-by-step instructions accompanied by ample screenshots for working with data in SPSS®, along with guidance on interpreting outputs and formatting results in APA style. The Second Edition features a streamlined organization, updated references, and new content on factorial designs, effect size, and G*Power. 

 

 
Preface
 
About the Authors
 
SECTION I. OVERVIEW OF BASIC DESIGN DECISIONS
 
1. The Marriage of Stats and Methods: ’til Death Do They Part
We Want to Help  
Basic Steps of Research  
Summary  
 
2. Nominal, Ordinal, Interval, or Ratio: Why Your Type of Data Really Does Matter
Nominal Data  
Ordinal Data  
Interval Data  
Ratio Data  
Summary  
 
3. Designing Your Hypothesis: To KISS (Keep It Simple, Student) or to Complicate Matters
How Many Variables Should I Include?  
How Many Participants Should I Include?  
How Many Independent Variables Should I Include?  
Including More Than One Independent Variable  
Choosing the Number of Levels of Each Variable  
Choosing Your Dependent Variables  
Avoiding the Unmeasurable Dependent Variables  
How Many Dependent Variables to Include  
Summary  
 
SECTION II. YOUR BASIC SPSS TOOLBOX
 
4. Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes
 
5. Handling Your Data in SPSS: Columns, and Labels, and Values . . . Oh My!
The Structure of SPSS  
When to Create Your Data File: Yes, Even Before Data Collection  
Setting Up Your Data File  
Importing Data  
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  
Calculating a Total or Mean Score  
Recording Variables  
Conducting Analyses With Only Part of Your Collected Data: Split File and Select Cases  
Summary  
 
6. Descriptive Statistics: Tell Me About It
Describing Nominal Data  
Describing Ordinal Data  
Describing Interval or Ratio Data  
Describing Data With Two Samples  
Summary  
 
SECTION III. DESIGNS, STATISTICS, INTERPRETATION, AND WRITE-UP IN APA STYLE
 
7. Between-Groups Designs: Celebrate Your Independence!
One IV, Two Levels  
Between Groups With Two Levels of an IV  
Independent-Samples t-Test With a Quasi-IV  
Between Groups With More Than Two Levels of an IV  
Between Groups With More Than One IV  
Summary  
 
8. Repeated-Measures Designs: Everybody Plays!
One Independent Variable With Two Levels  
Expanding the Number of Levels for Your Independent Variable  
Adding Another Factor: Within-Subjects Factorial Designs  
Summary  
 
9. Advanced Research Designs: Complicating Matters
Mixed Designs: One Between Variable and One Repeated-Measures Variable  
A Multivariate Design: Measuring It All Including More Than One Dependent Variable in Your Design  
ANCOVA  
Summary  
 
10. Correlational Analysis: How Do I Know If That Relationship Is Real?
Correlational Analysis: Two Variables  
Prediction With Two Variables: Simple Linear Regression  
Prediction With Several Variables: Multiple Linear Regression  
Summary  
 
11. Chi Square: Staying on the Same Frequency
What Do You Expect?  
One-Way Chi Square With More Than Two Levels  
Two-Way Chi Square  
Summary  
 
12. How Many Participants Do You Need? More Power to You!
Finding Power in SPSS’s General Linear Model  
Using G*Power to Find Power  
Planning Sample Sizes for Your Future Research  
Summary  
 
SECTION IV. A SUMMARY
 
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  
Summary  
 
14. APA Results Sections
t-Test for Independent Samples (True IV)  
t-Test for Independent Samples (Pseudo-IV)  
One-Way ANOVA for Independent Groups (True IV)  
t-Test for Correlated Samples  
One-Way ANOVA for Correlated Groups (Repeated Measures)  
Factorial ANOVA for Correlated Groups (Repeated Measures)  
Factorial ANOVA for Mixed Groups  
Factorial ANOVA for Independent Groups  
Analysis of Covariance  
Pearson’s r Correlation  
Pearson’s r Correlation and Simple Regression  
One-Way c2  
Two-Way c2  
 
15. Frequently Asked Questions: Did I Do That?
Questions About Research Design  
Questions About Analyzing Your Data  
Questions About Interpreting Your Data and Presenting Your Results  
Summary  
 
Glossary
 
Index
 
References

An excellent practical guide for education research.

Dr Jim Nichols
School Of Education, Nyack College
February 12, 2018

For instructors

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