Exercises for Advanced Statistics in Research
This section contains free PDF downloads of 23 exercises, sorted by chapter. Most chapters have at least one exercise, and several chapters have more than one. The typical exercise describes a fictitious investigation and provides excerpts from the Results section of the corresponding (and equally-fictitious) journal article.
These exercises are supplementary materials for Advanced Statistics in Research, available in paperback at amazon.com. The Instructor’s Page provides information about how teachers may obtain the Exercise Key.
Chapter 1: What this Book will Do
Exercise: None
Chapter 2: Basic Concepts in Research and Statistics
Exercise 2.3: Nonexperimental Versus Experimental Research
The Relationship between College Student Grades and Instructor-Course Evaluations
Exercise 2.5: Systems for Classifying Variables in Research
Classifying Variables from a Study of Paranormal Phenomena
Chapter 3: Central Tendency, Variability, and Descriptive Statistics
Exercise 3.1: Frequency Tables, Frequencies, and Percentages
College-Student Scores on a Measure of Academic Achievement Motivation
Exercise 3.2: Histograms and the Shapes of Distributions
Frequency Histograms for Variables Assessed by the Undergraduate Activities Questionnaire
Exercise 3.5: Mean, Median, and Interquartile Range
The Relationship between College Major and Typical Salary Earned
Exercise 3.7: Central Tendency, Variability, and Descriptive Statistics
SAT Scores, GPA, and the Undergraduate Activities Questionnaire
Exercise 3.9: Interpreting Boxplots
Boxplots for Variables Assessed by the Undergraduate Activities Questionnaire
Chapter 4: z Scores and Areas Under the Normal Curve
Exercise 4.3: z Scores and Area Under the Normal Curve
The Relative Location of Student Scores on Scales Derived from a Questionnaire
Chapter 5: The Big-Three Results in Research Articles
Exercise 5.3: Statistical Significance, Confidence Intervals, and Effect Size
Living On-Campus Versus Off-Campus: Perceived Problems, Perceived Benefits
Chapter 6: Bivariate Correlation
Exercise 6.3: Interpreting All Possible Correlations in a Table
Relationship Between Physical Attractiveness, Intelligence, Self-Confidence, and Income
Chapter 7: Bivariate Regression
Exercise 7.3: Scatterplots, Bivariate Regression, and Prediction
Predicting Graduate-School GPA from Undergraduate Coursework
Chapter 8: Partial Correlation and Statistical Control
Exercise 8.3: Zero-Order and Partial Correlation Coefficients
Does the SAT Still Predict GPA After Statistically Controlling for SES?
Chapter 9: Multiple Regression I: Basic Concepts
Exercise 9.3: Multiple Regression with Simultaneous Entry
Predicting Graduate GPA from Aptitude Test Scores and Undergraduate Coursework
Chapter 10: Multiple Regression II: Advanced Concepts
Exercise 10.3: Multiple Regression with Hierarchical Entry
Traits of Individuals Who Watch Verbally-Aggressive TV Shows
Chapter 11: Discriminant Analysis
Exercise 11.3: Discriminant Analysis with Classification Analysis
Predicting Whistle-blowing Behavior in Public-sector Organizations
Chapter 12: Logistic Regression
Exercise 12.3: Binary Logistic Regression with Sequential Entry
Predicting Sexual Regret in College Students
Chapter 13: MANOVA and ANOVA
Exercise 13.3: MANOVA and Univariate ANOVA
Predicting Online Social-Networking Behavior from Impression-Management Self-Efficacy
Chapter Chapter 14: Analysis of Covariance (ANCOVA)
Exercise 14.3: Using ANCOVA with Data from a True Experiment
Guessing the Gender of Online Video Game Players
Chapter 15: Exploratory Factor Analysis
Exercise 15.5: Exploratory Factor Analysis with Varimax Rotation
Determining the Number and Nature of Personality Traits in Dogs
Chapter 16: SEM I: Path Analysis with Manifest Variables
Exercise 16.3: Path Analysis with Manifest Variables
Parasocial Relationships Between Racing Spectators and Formula 1 Drivers: A Path Model
Chapter 17: SEM II: Confirmatory Factor Analysis
Exercise 17.3: Using CFA to Develop a Measurement Model
Measuring Constructs Relevant to an Employee’s Intention to Quit a Job
Chapter 18: SEM III: Path Analysis with Latent Factors
Exercise 18.3: Path Analysis with Latent Factors
Determinants of an Employee’s Intention to Quit a Job
Chapter 19: Meta-Analysis
Exercise 19.5: Meta-Analysis, Summary Effects, and Heterogeneity
Exposure to “Thin-Ideal” Media and Body Dissatisfaction in Women
Chapter 20: Learning More About Statistics
Exercise: None