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Journal Article 1: Evans, S. M. (2017). Personalities of introductory course instructors and course completion: A correlational study. Journal of College Student Retention: Research, Theory, & Practice, 1–15. doi:10.1177/1521025117720389

Learning Objectives: 10-1: About different types of independent-groups designs with two levels. | 10-2: How to analyze a two-group design with an independent-samples t test.

Summary: This is a study comparing instructor personality and completion rates of online versus traditional courses.

Questions to Consider:

1. What makes this a correlational study rather than a quasi- or true experiment?
2. Why is the independent-samples t test the correct analysis for the results presented in Table 3?
3. Which of the independent-samples t test results reported in Table 3 met the criteria for statistical significance at p < .05? What do these results suggest?

Journal Article 2: Boulianne, S. (2017). Mini-publics and public opinion: Two survey-based experiments. Political Studies, 1–18. doi:10.1177/0032321717723507

Learning Objectives: 10-1: About different types of independent-groups designs with two levels. | 10-2: How to analyze a two-group design with an independent-samples t test.

Summary: This is an experiment examining the effect of political information on public opinion. Note that the article does not use APA format in reporting statistical results. 

Questions to Consider:

1. What are the independent and dependent variables in this study? 
2. What was the purpose of the random assignment check?
3. Which of the independent-samples t test results reported in Table 2 met the criteria for statistical significance at p < .05? What do these results suggest?

Journal Article 3: VanWormer, L. A., Jordan, E. F., & Bialock, L. D. (2014). Assessing the perceived value of research participation. Teaching of Psychology, 4, 233–236. doi:10.1177/0098628314537974

Learning Outcomes: 10-1: About different types of independent-groups designs with two levels. | 10-2: How to analyze a two-group design with an independent-samples t test. | 10-5: How to calculate and interpret data for multiple-group designs using a one-way ANOVA. | 10-6: About the purpose and interpretation of post hoc tests.

Summary: This is a study examining the benefits of research participation. 

Questions to Consider:

1. What type of research design is this? How do you know?
2. For what comparisons did the researchers calculate independent-samples t tests? What were the results of these analyses?
3. For what comparisons did the researchers calculate one-way ANOVAs? What were the results of these analyses?