Lab Manual for Statistical Analysis

Dawn M. McBride - Illinois State University, USA
J. Cooper Cutting - Illinois State University, USA

September 2017 | 128 pages | SAGE Publications, Inc

Packed with exercises, checklists, and how-to sections, this robust lab manual gives students hands-on guidance and practice for analyzing their own psychological research. The lab manual’s four sections include activities that correspond directly with the chapters of Dawn M. McBride’s The Process of Statistical Analysis in Psychology; activities related to data analysis projects (including data sets) that students can manipulate and analyze; activities designed to help students choose the correct test for different types of data; and exercises designed to help students write up results from analyses in APA style.

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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. One-Sample t Test in SPSS

30. One-Sample 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. One-Way Between-Subjects ANOVA by Hand

39. One-Way Between-Subjects ANOVA in SPSS

40. Factorial ANOVA

41. One-Way Within-Subjects ANOVA

42. One-Way Within-Subjects 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. Chi-Square 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: Single-Sample z Tests and t Tests

57. Meet the Formula: Comparing Independent Samples and Related Samples t Tests

58. Meet the Formula: One-Factor Between-Subjects ANOVA

59. Meet the Formula: Two-Factor ANOVA

60. Meet the Formula: One-Factor Within-Subjects 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

“The lab manual is well thought out and contains appropriately related examples. My students would find these examples useful as practical applications.”

Michael Ray

The College at Brockport

“The activities are easy to follow and relatively short. I like the inclusion of suggestions for group work—it would be nice to be able to use these in class. I would definitely have the lab manual as a required companion.”

Courtney McManus

Colby-Sawyer College

Key features

KEY FEATURES:

Projects with data sets allow students to practice analysis and carry out a capstone project.
Meet the Formulae features help students see conceptual similarities across formulae.
Workbook/Homework exercises for each major topic in the course provide extra practice for students and homework problems for instructors to assign.
APA style practice helps students learn to write up their results adhering to APA style.
Connections between research designs and statistical tests help students figure out which test to use when given a research study or data set.