Research Methods, Statistics, and Applications
SAGE Journal Articles
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Journal Article 1: Jiang, L., & Probst, T. M. (2016). The moderating effect of trust in management on the consequences of job insecurity. Economic and Industrial Democracy, 1–25. doi:10.1177/0143831X16652945
Learning Objectives: 12-2: Rationale for conducting factorial designs. | 12-3: How to hypothesize and interpret main effects and interaction effects.
Summary: This is a correlational factorial design examining the relationship between job insecurity, trust in management, and employee attitudes and well-being.
Questions to Consider:
- What is the rationale for conducting this factorial design?
- Which of the hypotheses predicted main effects, and which predicted interaction effects?
- How would you interpret the interactions depicted in Figures 2, 3, and 4?
Journal Article 2: Lens, K. M. E., van Doorn, J., Pemberton, A., Lahlah, E., & Bogaerts, S. (2017). One rule for the goose, one for the gander? Wrongfulness and harmfulness in determining reactions to offenders and victims of crime. European Journal of Criminology, 14, 183–199. doi:10.1177/1477370816649623
Learning Objectives: 12-2: Rationale for conducting factorial designs. | 12-3: How to hypothesize and interpret main effects and interaction effects.
Summary: This is a 2 X 2 experimental factorial examining the effect of crime severity and experienced harm on perceptions of a crime victim and offender.
Questions to Consider:
- What is the rationale for conducting this factorial design?
- Which of the interactions were statistically significant?
- What would a graph of the statistically significant interactions look like? (hint: mean scores are presented in tables); How would you interpret these interactions?
Journal Article 3: Kwon, K., & Lease, A. M. (2009). Children’s social identification with a friendship group: A moderating effect on intent to conform to norms. Small Group Research, 40, 694–719. doi:10.1177/1046496409346578
Learning Objective: 12-3: How to hypothesize and interpret main effects and interaction effects.
Summary: This is a correlational factorial design examining the relationship between social identification, group norms, and intention to conform to the group norms.
Questions to Consider:
- Which of the three hypotheses represents an interaction hypothesis? What would a graph of this hypothesized interaction look like?
- Did the results support the hypothesized interaction? Explain.
- What were the results of the 3 X 2 ANOVAs reported in the section “Descriptive Characteristics of Self-Reported Friendship Group” on pages 704–705 of the article?