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Intermediate Statistics Using SPSS
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Intermediate Statistics Using SPSS

September 2017 | 480 pages | SAGE Publications, Inc
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What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results?

 

Herschel Knapp's friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.

 

Free downloadable tutorial videos provide an overview of each statistical method!



 
Preface
 
Acknowledgments
 
About the Author
 
PART I: STATISTICAL FUNDAMENTALS
 
1. Research Principles
Learning Objectives

 
Overview—Research Principles

 
Rationale for Statistics

 
Research Questions

 
Treatment and Control Groups

 
Rationale for Random Assignment

 
Hypothesis Formulation

 
Reading Statistical Outcomes

 
Accept/Reject Hypotheses

 
Variable Types/Levels of Measure

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
2. Working in SPSS
Learning Objectives

 
Video

 
Overview—SPSS

 
Two Views: Variable View and Data View

 
Saving Data Files

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
PART II: SUMMARIZING VARIABLES
 
3. Descriptive Statistics
Learning Objectives

 
When to Use This Statistic

 
Videos

 
Overview—Descriptive Statistics

 
Descriptive Statistics

 
SPSS—Loading an SPSS Data File

 
Data Set

 
Test Run

 
SPSS—Descriptive Statistics: Continuous Variables (Age)

 
SPSS—Descriptive Statistics: Categorical Variables (Gender)

 
SPSS—Descriptive Statistics: Continuous Variables (Age) Select by Categorical Variable (Gender)—Females Only

 
SPSS—(Re)Selecting All Variables

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
PART III: MEASURING DIFFERENCES BETWEEN GROUPS
 
4. t Test and Mann-Whitney U Test
Learning Objectives

 
When to Use This Statistic

 
Videos

 
Overview—t Test

 
Overview—Mann-Whitney U Test

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
5. ANOVA and Kruskal-Wallis Test
Learning Objectives

 
When to Use this Statistic

 
Videos

 
Layered Learning

 
Overview—ANOVA

 
Overview—Kruskal-Wallis Test

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
6. ANCOVA
Learning Objectives

 
When to Use This Statistic

 
Video

 
Layered Learning

 
Overview—ANCOVA

 
Groups

 
Procedure

 
Hypotheses

 
Data Set

 
Pretest Checklist

 
Test Run

 
Results

 
Hypothesis Resolution

 
Abstract

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
7. MANOVA
Learning Objectives

 
When to Use This Statistic

 
Video

 
Layered Learning

 
Overview—MANOVA

 
Groups

 
Procedure

 
Hypotheses

 
Data Set

 
Pretest Checklist

 
Test Run

 
Results

 
Hypothesis Resolution

 
Abstract

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
PART IV: MEASURING DIFFERENCES OVER TIME
 
8. Paired t Test and Wilcoxon Test
Learning Objectives

 
When to Use This Statistic

 
Videos

 
Overview—Paired t Test

 
Overview—Wilcoxon Test

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
9. ANOVA Repeated Measures
Learning Objectives

 
When to Use This Statistic

 
Video

 
Layered Learning

 
Overview—ANOVA Repeated Measures

 
Variations on Longitudinal Design

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
PART V: MEASURING RELATIONSHIP BETWEEN VARIABLES
 
10. Chi-Square
Learning Objectives

 
When to Use This Statistic

 
Video

 
Overview—Chi-Square

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
11. Correlation and Regression: Pearson and Spearman
Learning Objectives

 
When to Use this Statistic

 
Tutorial Videos

 
Overview—Pearson Correlation

 
Groups

 
Overview—Spearman Correlation

 
Alternate Use for Spearman Correlation

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
12. Multiple Regression
Learning Objectives

 
When to Use This Statistic

 
Video

 
Overview—Multiple Regression

 
Supplemental Processing Methods

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
13. Logistic Regression
Learning Objectives

 
When to Use This Statistic

 
Video

 
Overview—Logistic Regression

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
PART VI: DATA HANDLING
 
14. Supplemental SPSS Operations
Learning Objectives

 
Overview—Supplemental SPSS Operations

 
Creating Dummy Variables Using Syntax

 
Data Sets

 
Good Common Sense

 
Key Concepts

 
Practice Exercises

 
 
Glossary
 
Index
Key features

KEY FEATURES:

  • Clear, jargon-free language walks students through examples to assess the assumptions (pretest criteria), process the data, and document the results of each statistic. Margin icons help guide the navigation within each chapter.
  • 17 downloadable tutorial videos provide an overview of each statistical process and directions for processing the pretest checklist criteria, ordering the statistical test, and interpreting the results.
  • Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts, and build a thorough comprehension of the statistical process.
  • Tables and notation as well as solutions to the abstract-writing exercises are consistent with APA style.
  • Real-world examples and exercises–with corresponding downloadable data sets–provide students with the opportunity to discover the results of plausible research projects that span a variety of disciplines.

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