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Lab Manual for Psychological Research and Statistical Analysis

Lab Manual for Psychological Research and Statistical Analysis

First Edition

August 2019 | 160 pages | SAGE Publications, Inc
Lab Manual for Psychological Research and Statistical Analysis serves as an additional resource for students and instructors in a research methods, statistics, or combined course where classroom and/or laboratory exercises are conducted. Packed with exercises, checklists, and how-to sections, this robust lab manual gives students hands-on guidance and practice for conducting and analyzing their own psychological research. Dawn M. McBride and J. Cooper Cutting provide students with additional opportunities for practice in a course with challenging material that requires practice and repetition for deeper understanding.
Introduction for Instructors
CHAPTER 1 • Psychological Research: The Whys and Hows of the Scientific Method and Statistics
1a: The Purpose of Statistics

1b: Science in the Media

1c: Understanding Your Data

1d: Displaying Distributions

1e: Making and Interpreting Graphs

1f: Setting up Your Data in SPSS: Creating a Data File

1g: Displaying Distributions in SPSS

CHAPTER 2 • Developing a Research Question and Understanding Research Reports
2a: How to Read Empirical Journal Articles

2b: Reading Journal Articles—Mueller and Oppenheimer (2014)

2c: Reading Journal Articles—Roediger and Karpicke (2006)

2d: Reviewing the Literature

2e: Creating References

2f: APA Style

2g: APA-Style Manuscript Checklist

CHAPTER 3 • Ethical Guidelines for Psychological Research
3a: Ethics

3b: Ethics in a Published Study

3c: Academic Honesty Guidelines—What Is (and Isn’t) Plagiarism

3d: Examples of Plagiarism

3e: Identifying and Avoiding Plagiarism

CHAPTER 4 • Probability and Sampling
4a: Distributions and Probability

4b: Basic Probability

4c: Subject Sampling

4d: Sampling

CHAPTER 5 • How Psychologists Use the Scientific Method: Data Collection Techniques and Research Designs
5a: Naturalistic Observation Group Activity

5b: Basics of Psychological Research

5c: Designing an Experiment Activity

5d: Research Design Exercise

5e: Design and Data Collection Exercise

CHAPTER 6 • Descriptive Statistics
6a: Central Tendency: Comparing Data Sets

6b: Understanding Central Tendency

6c: Central Tendency in SPSS

6d: Describing a Distribution (Calculations by Hand)

6e: More Describing Distributions

6f: Descriptive Statistics With Excel

6g: Measures of Variability in SPSS

CHAPTER 7 • Independent Variables and Validity in Research
7a: Identifying and Developing Hypotheses About Variables

7b: Independent and Dependent Variables

7c: Identifying Variables From Abstracts

7d: Identifying Variables From Empirical Articles

7e: Research Concepts: Designs, Validity, and Scales of Measurement

7f: Internal and External Validity

CHAPTER 8 • One-Factor Experiments
8a: Bias and Control Exercise

8b: Experimental Variables

8c: Experiments Exercise

8d: Experimental Designs

CHAPTER 9 • Hypothesis-Testing Logic
9a: Inferential Statistics Exercise

9b: Calculating z Scores Using SPSS

9c: The Normal Distribution

9d: z Scores and the Normal Distribution

9e: Hypothesis Testing With Normal Populations

9f: Hypothesis Testing With z Tests

CHAPTER 10 • t Tests
10a: Hypothesis Testing With a Single Sample

10b: One-Sample t Test in SPSS

10c: One-Sample t Tests by Hand

10d: Related-Samples t Tests

10e: Related-Samples t Test in SPSS

10f: Independent Samples t Tests

10g: Hypothesis Testing—Multiple Tests

10h: More Hypothesis Tests With Multiple Tests

10i: t Tests Summary Worksheet

10j: Choose the Correct t Test

10k: Writing a Results Section From SPSS Output—t Tests

CHAPTER 11 • One-Way Analysis of Variance
11a: One-Way Between-Subjects Analysis of Variance (Hand Calculations)

11b: One-Way Between-Subjects Analysis of Variance in SPSS

11c: Writing a Results Section From SPSS Output—Analysis of Variance

11d: Inferential Statistics and Analyses

CHAPTER 12 • Correlation Tests and Simple Linear Regression
12a: Creating and Interpreting Scatterplots

12b: Understanding Correlations

12c: Correlations and Scatterplots in SPSS

12d: Computing Correlations by Hand

12e: Hypothesis Testing With Correlation Using SPSS

12f: Regression

CHAPTER 13 • Chi-Square Tests
13a: Chi-Square Crosstabs Tables

13b: Chi-Square Hand Calculations From Crosstabs Tables

13c: Chi-Square in SPSS—Type in the Data

13d: Chi-Square in SPSS From a Data File

CHAPTER 14 • Multifactor Experiments and Two-Way Analysis of Variance (Chapters 14 and 15)
14a: Factorial Designs

14b: Factorial Designs Article—Sproesser, Schupp, and Renner (2014)

14c: Factorial Designs Article—Farmer, McKay, and Tsakiris (2014)

14d: Describing Main Effects and Interactions

14e: Factorial Analysis of Variance

14f: Analysis of Variance Review

14g: Main Effects and Interactions in Factorial Analysis of Variance

CHAPTER 15 • One-Way Within-Subjects Analysis of Variance
15a: One-Way Within-Subjects Analysis of Variance

15b: One-Way Within-Subjects Analysis of Variance in SPSS

15c: One-Way Within-Subjects Analysis of Variance Review

CHAPTER 16 • Meet the Formulae and Practice Computation Problems
16a: Meet the Formula and Practice Problems: z Score Transformation

16b: Meet the Formula and Practice Problems: Single-Sample z Tests and t Tests

16c: Meet the Formula and Practice Problems: Comparing Independent Samples and Related Samples t Tests

16d: Meet the Formula and Practice Problems: One-Factor Between-Subjects Analysis of Variance

16e: Meet the Formula and Practice Problems: Two-Factor Analysis of Variance

16f: Meet the Formula and Practice Problems: One-Factor Within-Subjects Analysis of Variance

16g: Meet the Formula and Practice Problems: Correlation

16h: Meet the Formula and Practice Problems: Bivariate Regression

Appendix A. Data Sets and Activities
A1: Data Analysis Exercise—von Hippel, Ronay, Baker, Kjelsaas, and Murphy (2016)

A2: Data Analysis Exercise—Nairne, Pandeirada, and Thompson (2008)

A3: Data Analysis Project—Crammed vs. Distributed Study

A4: Data Analysis Project—Teaching Techniques Study

A5: Data Analysis Project—Distracted Driving Study

A6: Data Analysis Project—Temperature and Air Quality Study

A7: Data Analysis Project—Job Type and Satisfaction Study

A8: Data Analysis Project—Attractive Face Recognition Study

A9: Data Analysis Project—Discrimination in the Workplace Study

Appendix B. Overview and Selection of Statistical Tests
B1: Finding the Appropriate Inferential Test

B2: Finding the Appropriate Inferential Test From Research Designs

B3: Finding the Appropriate Inferential Test From Research Questions

B4: Identifying the Design and Finding the Appropriate Inferential Test From Abstracts

B5: Identifying Variables and Determining the Inferential Test From Abstracts

Appendix C. Summary of Formulae

Dawn M. McBride

Dawn M. McBride is professor of psychology at Illinois State University, where she has taught research methods since 1998. Her research interests include automatic forms of memory, false memory, prospective memory, task order choices, and forgetting. In addition to research methods, she teaches courses in introductory psychology, cognition and learning, and human memory; she also teaches a graduate course in experimental design. She is a recipient of the Illinois State University Teaching Initiative Award and the Illinois State University SPA/Psi Chi Jim Johnson Award for commitment to undergraduate mentorship, involvement, and achievement... More About Author

John C. Cutting

J. Cooper Cutting (PhD, cognitive psychology, University of Illinois at Urbana-Champaign) is associate professor of psychology at Illinois State University. Dr. Cutting’s research interests are in psycholinguistics, primarily, with a focus on the production of language. A central theme of his research is how different types of information interact during language use. He has examined this issue in the context of lexical access, within-sentence agreement processes, figurative language production, and pragmatics. He has taught courses in research methods, statistics, cognitive psychology, computer applications in psychology, human memory,... More About Author

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ISBN: 9781544363493