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Lab Manual for Statistical Analysis
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Lab Manual for Statistical Analysis



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.

INSTRUCTORS: Bundle the Lab Manual for Statistical Analysis with The Process of Statistical Analysis in Psychology for only $5 more! Bundle ISBN: 978-1-5443-0974-3


 
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.


For instructors

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