An easyguide to research design & SPSS
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An easyguide to research design & SPSS
SAGE, c2015
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An easy guide to research design & SPSS
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Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
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
ANCOVA
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.....is 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
by "Nielsen BookData"
