Lab Manual for Statistical Analysis
Book Preface
This lab manual is meant to accompany a text covering the basic statistics used in the behavioral sciences. It will focus on practicing the statistical skills and concepts you are covering in the course rather than providing the instruction on skills and concepts. In addition, the basics of research design are covered in some activities either on their own or where applicable to accompany statistical analysis.
There are five main sections. The first section contains activities that correspond to topics typically covered in statistics courses. The second section includes activities that examine the underlying statistical formulae with an emphasis on the conceptual similarities and differences among related statistical tests. The third section contains activities related to data analysis projects (including data sets) that students can analyze for analysis projects. The fourth section includes activities designed to help students choose the correct test for different types of data. The fifth section contains exercises designed to help students write up and interpret results from analyses in APA style.
Contents
 Preface
 Introduction for Students
 Section 1. Topic Activities
 1. Statistics in the Media
 2. The Purpose of Statistics
 3. Understanding Your Data
 4. Research Concepts: Designs, Validity, and Scales of Measurement
 5. Measurement Group Activity
 6. Designing an Experiment Group Activity
 7. Experimental Variables
 8. Distributions and Probability
 9. Displaying Distributions
 10. Setting Up Your Data in SPSS: Creating a Data File
 11. Displaying Distributions in SPSS
 12. Basic Probability
 13. Sampling
 14. Central Tendency 1
 15. Central Tendency 2
 16. Central Tendency in SPSS
 17. Describing a Distribution by Hand
 18. More Describing Distributions
 19. Descriptive Statistics Exercise
 20. Descriptive Statistics With Excel
 21. Measures of Variability in SPSS
 22. Calculating z Scores Using SPSS
 23. The Normal Distribution
 24. z Scores and the Normal Distribution
 25. Hypothesis Testing With Normal Populations
 26. Stating Hypotheses and Choosing Tests
 27. Hypothesis Testing With z Tests
 28. Hypothesis Testing With a Single Sample
 29. OneSample t Test in SPSS
 30. OneSample t Tests by Hand
 31. Related Samples t Tests
 32. Related Samples t Test in SPSS
 33. Independent Samples t Tests
 34. Hypothesis Testing: Multiple Tests
 35. More Hypothesis Tests With Multiple Tests
 36. t Tests Summary Worksheet
 37. Choose the Correct t Test
 38. OneWay BetweenSubjects ANOVA by Hand
 39. OneWay BetweenSubjects ANOVA in SPSS
 40. Factorial ANOVA
 41. OneWay WithinSubjects ANOVA
 42. OneWay WithinSubjects ANOVA in SPSS
 43. ANOVA Review
 44. Which Test Should I Use?
 45. Correlations and Scatterplots Exercise
 46. Correlations and Scatterplots 2
 47. Correlations and Scatterplots in SPSS
 48. Computing Correlations by Hand
 49. Computing Correlations by Hand 2
 50. Hypothesis Testing With Correlation
 51. Hypothesis Testing With Correlation Using SPSS
 52. Regression
 53. ChiSquare Test for Independence
 Section 2. Meet the Formulae
 54. Meet the Formula: Standard Deviation
 55. Meet the Formula: z Score Transformation
 56. Meet the Formula: SingleSample z Tests and t Tests
 57. Meet the Formula: Comparing Independent Samples and Related Samples t Tests
 58. Meet the Formula: OneFactor BetweenSubjects ANOVA
 59. Meet the Formula: TwoFactor ANOVA
 60. Meet the Formula: OneFactor WithinSubjects ANOVA
 61. Meet the Formula: Correlation
 62. Meet the Formula: Bivariate Regression
 Section 3. Data Analysis Projects
 63. Data Analysis Exercise: von Hippel, Ronay, Baker, Kjelsaas, and Murphy (2016)
 64. Data Analysis Exercise: Nairne, Pandeirada, and Thompson (2008)
 65. Data Analysis Project 1: Crammed Versus Distributed Study
 66. Data Analysis Project 2: Teaching Techniques Study
 67. Data Analysis Project 3: Distracted Driving Study
 68. Data Analysis Project 4: Temperature and Air Quality Study
 69. Data Analysis Project 5: Job Type and Satisfaction Study
 70. Data Analysis Project 6: Attractive Face Recognition Study
 71. Data Analysis Project 7: Discrimination in the Workplace Study
 Section 4. How to Choose a Statistical Test
 72. Using the Flowchart to Find the Correct Statistical Test
 73. More Using the Flowchart to Find the Correct Statistical Test
 74. Research Design Exercise
 75. Design and Data Collection Exercise
 76. Designs and Analyses
 Section 5. Describing and Interpreting Results in APA Style
 77. Writing a Results Section From SPSS Output: t Tests
 78. Writing a Results Section From SPSS Output: ANOVA
 79. Interpreting Results Exercise: Sproesser, Schupp, and Renner (2014)
 80. Interpreting Results Exercise: Ravizza, Uitvlugt, and Fenn (2017)
 Appendix: Summary of Formulae
 References
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