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Solution Manual for Intermediate Statistics Using SPSS 1st Edition by Herschel Knapp

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Solution Manual for Intermediate Statistics Using SPSS 1st Edition by Herschel Knapp
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Solution Manual for Intermediate Statistics Using SPSS 1st Edition by Herschel Knapp

Solution Manual for Intermediate Statistics Using SPSS 1st Edition by Herschel Knapp

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
Continuous
Interval
Ratio
Categorical
Nominal
Ordinal
Good Common Sense
Key Concepts
Practice Exercises
2 Working in SPSS
Learning Objectives
Video
Overview—SPSS
Two Views: Variable View and Data View
Variable View
Name
Type
Width
Decimals
Label
Values
Missing
Columns
Align
Measure
Role
Data View
Value Labels Icon
Codebook
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
Number (n)
Mean (M)
Median
Mode
Standard Deviation (SD)
Variance
Minimum
Maximum
Range
SPSS—Loading an SPSS Data File
Data Set
Test Run
SPSS—Descriptive Statistics: Continuous Variables (Age)
Statistics Tables
Histogram With Normal Curve
Skewed Distribution
SPSS—Descriptive Statistics: Categorical Variables (Gender)
Frequency Statistics Tables
Bar Chart
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
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Normality
Pretest Checklist Criterion 2—n Quota
Pretest Checklist Criterion 3—Homogeneity of Variance
Test Run
Results
Pretest Checklist Criterion 3—Homogeneity of Variance
p Value
Hypothesis Resolution
Îą Level
Abstract
Type I and Type II Errors
Type I Error
Type II Error
Overview—Mann-Whitney U Test
Test Run
Results
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
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Normality
Pretest Checklist Criterion 2—n Quota
Pretest Checklist Criterion 3—Homogeneity of Variance
Test Run
Results
Pretest Checklist Criterion 3—Homogeneity of Variance
Comparison 1—Control : Pet Therapy
Comparison 2—Control : Meditation
Comparison 3—Pet Therapy : Meditation
Hypothesis Resolution
Abstract
Overview—Kruskal-Wallis Test
Test Run
Results
Good Common Sense
Key Concepts
Practice Exercises
6 ANCOVA
Learning Objectives
When to Use This Statistic
Video
Layered Learning
Overview—ANCOVA
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Homogeneity of Regression Slopes
Test Run
Results
Pretest Checklist Criterion 2—Homogeneity of Variance (Levene’s Test)
Hypothesis Resolution
Abstract
Good Common Sense
Key Concepts
Practice Exercises
7 MANOVA
Learning Objectives
When to Use This Statistic
Video
Layered Learning
Overview—MANOVA
Example
Research Questions
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—n Quota
Pretest Checklist Criterion 2—Normality
Pretest Checklist Criterion 3—Moderate Correlation
Test Run
Results
Pretest Checklist Criterion 4—Homogeneity of Variance-Covariance (Box’s M Test)
Pretest Checklist Criterion 5—Homogeneity of Variance (Levene’s Test)
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
Pretest/Posttest Design
Step 1: Pretest
Step 2: Treatment
Step 3: Posttest
Example
Research Question
Groups
Procedure
Step 1: Pretest
Step 2: Treatment
Step 3: Posttest
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Normality of Difference
Test Run
Results
Hypothesis Resolution
Abstract
Overview—Wilcoxon Test
Test Run
Results
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
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Mauchly’s Test of Sphericity
Test Run
Results
Pretest Checklist Criterion 1—Mauchly’s Test of Sphericity
Hypothesis Resolution
Abstract
Variations on Longitudinal Design
Design A—Treatment Effects and Sustainability (O X O O)
Design B—Incremental Monitoring (O X O X O)
Design C—Stable Baseline and Treatment Effect (O O X O)
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
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1–n ≥ 5 per Cell Minimum
Test Run
Results
Pretest Checklist Criterion 1–n ≥ 5 per Cell Minimum
Hypothesis Resolution
Abstract
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
Example 1—Pearson Regression
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Normality
Test Run
Correlation
Regression (Scatterplot With Regression Line)
Results
Scatterplot Points
Scatterplot Regression Line
Pretest Checklist Criterion 2—Linearity
Pretest Checklist Criterion 3—Homoscedasticity
Correlation
Hypothesis Resolution
Abstract
Negative Correlation
No Correlation
Overview—Spearman Correlation
Example 2—Spearman Correlation
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Test Run
Results
Hypothesis Resolution
Abstract
Alternate Use for Spearman Correlation
Correlation Versus Causation
Good Common Sense
Key Concepts
Practice Exercises
12 Multiple Regression
Learning Objectives
When to Use This Statistic
Video
Overview—Multiple Regression
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Dummy Variables
Pretest Checklist
Pretest Checklist Criterion 1—n Quota
Pretest Checklist Criterion 2—Linearity
Test Run
Results
Pretest Checklist Criterion 3—Homoscedasticity
Pretest Checklist Criterion 4—Multicollinearity
Pretest Checklist Criterion 5—Normality
Hypothesis Resolution
Abstract
Supplemental Processing Methods
Good Common Sense
Key Concepts
Practice Exercises
13 Logistic Regression
Learning Objectives
When to Use This Statistic
Video
Overview—Logistic Regression
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—n Quota
Pretest Checklist Criterion 2—Normality
Pretest Checklist Criterion 3—Multicollinearity
Test Run
Results
Comprehending Logistic Regression R2
Hypothesis Resolution
Documentation Overview
Abstract
Model 1: Initial Results
Documenting Results Part 1: Outcome Variable
Documenting Results Part 2: Categorical Predictors
Categorical Documentation Option: Alternate Write-Up if Exp(B) Is Less Than 1
Documenting Results Part 3: Continuous Predictors
Documenting Continuous Variable Results if Exp(B) Is Less Than 1
Documenting Continuous Variable Results if Exp(B) Is Greater Than 1
Documenting Continuous Variable Results if Exp(B) Equals 1
Abstract for Model 1: Initial Results
Model 2: Selective Results
Abstract for Model 2: Selective Results
Model 3: Redefining a Reference Category
Data Set
Abstract for Model 3: Redefining a Reference Category
Good Common Sense
Key Concepts
Practice Exercises
Part VI: Data Handling
14 Supplemental SPSS Operations
Learning Objectives
Overview—Supplemental SPSS Operations
Data Sets
Generating Random Numbers
Sort Cases
Data Set
Select Cases
Data Set
Recoding—Example 1
Data Set
Recoding—Example 2
Data Set
Importing Data
Importing Excel Data
Data Set
Importing ASCII Data
Data Set
SPSS Syntax
Creating Dummy Variables Using Syntax
Data Sets
Good Common Sense
Key Concepts
Practice Exercises
Glossary
Index
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Solution Manual for Intermediate Statistics Using SPSS 1st Edition by Herschel Knapp