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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

Exercise Description

The typical exercise describes a fictitious investigation and provides excerpts from the Results section of the corresponding (and equally-fictitious) journal article. These results are followed by:

Factual Questions

Items that ask the reader to locate and interpret specific findings presented in the Results section.

Discussion Questions

Items that ask readers to think critically in evaluating the research design, analysis, and/or results; these items are well-suited for small-group discussion activities.

Sphinxian Questions for the Reckless or Foolhardy

Utterly impossible questions that statisticians will still be arguing about thousands of years from now.

 

 

Title: Advanced Statistics in Research: Reading, Understanding and Writing Up Data Analysis Results
Author: Larry Hatcher
Paperback: 644 pages
Publisher: Shadow Finch Media LLC (January 7, 2013)
Language: English
ISBN-10: 0985867000
ISBN-13: 978-0985867003
Product Dimensions: 10 x 7 x 1.5 inches
Shipping Weight: 3 pounds


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Advanced Statistics: Reading, Understanding and Writing Up Data Analysis Results