Lab Manual for Psychological Research and Statistical Analysis

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 References