Apples and Oranges (and Pears, Oh My!): The Search for Moderators in Meta-Analysis
By Jose M. Cortina. 2003
177 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ee8a95cb1934c27c1ce05a4e495177ce165509bc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Herman Aguinis
- Paul E. Spector
- C. Pierce
- A. Shirom
- P. Cantarelli
- Jan-Benedict E M Steenkamp
- Z. Aytug
- James N. Kurtessis
In Statistics and Probability
- Herman Aguinis
- C. Pierce
- Michael T. Brannick
- P. Cantarelli
- Jan-Benedict E M Steenkamp
- Z. Aytug
- James N. Kurtessis
- Natalia M. Lorinkova
Citations in the corpus
- Emotional strain and organizational citizenship behaviours: A meta-analysis and review (2007, methodology): “Taken together, when the credibility interval included zero and the Q statistic was significant, we performed subgroup analyses to examine the effects of a priori moderation effects (Cortina, 2003; Halbesleben, 2006; Hunter & Schmidt, 2004).”
- Toward a Further Understanding of the Relationships Between Perceptions of Support and Work Attitudes (2008, background): “Confidence intervals indicating significantly different effect sizes associated with the two groups would suggest that job type moderates the relationships between perceptions of social support and job satisfaction (Cortina, 2003).”
- The Relationship Between Perceptions of Organizational Politics and Employee Attitudes, Strain, and Behavior: A Meta-Analytic Examination (2009, methodology): “When the credibility interval included zero or Q was significant, we performed subgroup analyses to examine the moderating effects of study characteristics (Cortina, 2003).”
- Organizational constraints: a meta-analysis of a major stressor (2016, methodology): “We chose to use the Q statistic over alternatives because it provides a good balance between Type I error rates and statistical power (Cortina, 2003).”
- Meta-Synthesis of Qualitative Case Studies (2012, methodology): “The meta-analysis yields an overall estimate of effect size with the detection and estimation of interaction effects being central to the interpretation of the meta-analytic results (Cortina, 2003).”
- Make, buy, or ally: A transaction cost theory meta-analysis (2006, background): “According to Cortina (2003), if s.d. is less than .05, then there is absolutely no reason to be concerned about interpretation of effect sizes.”
- The relationship between nature connectedness and happiness: a meta-analysis (2014, background): “In contrast, implicit or state measures of nature connectedness were excluded in order to minimize commensurability (i.e., grouping substantially different measures together; Sharpe, 1997; Cortina, 2003).”
- Revealed or Concealed? Transparency of Procedures, Decisions, and Judgment Calls in Meta-Analyses (2012, result): “After examining a variety of sources (Bobko & Roth, 2008; Cortina, 2003; Geyskens et al., 2009, Guzzo et al., 1987; Higgins & Green, 2006; Lipsey & Wilson, 2001; Rothstein & McDaniel, 1989) in addition to the works of Cooper (1982, 1984, 2009) and Wanous et al.”
- Core Self-Evaluations (2012, methodology): “Taken together, when the CV included zero and the Q statistic was significant, we performed subgroup analyses to examine the moderating effects of study characteristics (e.g., publication status and CSE measure used; Cortina, 2003; Hunter & Schmidt, 2004).”
- Employees’ Social Context and Change-Oriented Citizenship (2013, methodology): “When the Q statistic was significant or the CV included zero, we performed subgroup analyses to examine a priori moderation (Cortina, 2003) with z tests of the difference between the corrected correlations to determine the statistical significance of the difference in magnitude (Bing, Davison, Minor”