Assessing heterogeneity in meta-analysis: Q statistic or I2 index?
By Tania B. Huedo-Medina, J. Sánchez-Meca, Fulgencio Marín-Martínez, J. Botella. Psychological methods, 2006
3,932 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d774fff858e12537b8a1219078a71d7b6f63b495
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In Statistics and Probability
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Citations in the corpus
- Linking Goal Progress and Subjective Well-Being: A Meta-analysis (2015, positive): “Additionally, we report I (Higgins and Thompson 2002) and the variance accounted for by artifacts (% VE; Hunter and Schmidt 2004) as a supplement to Q because first, in many situations the power of the Q test is very small (Harwell 1997), and second, I and % VE quantify the amount of heterogeneity a”
- The Effect of Youth Diversion Programs on Recidivism (2013, methodology): “05) indicate that there are significant differences among studies (Huedo-Medina et al., 2006).”
- Parent–Child Interaction Therapy for Child Disruptive Behaviour Disorders: A Meta-analysis (2016, neutral): “…statistically significant and thus, the null hypothesis of homogeneity was not rejected, Q(11) = 8.85, p = .64; however, this test is underpowered (Huedo-Medina et al. 2006) and a random-effects model still remains appropriate because in the absence of heterogeneity this model would reveal the…”
- How Effective are Instructional Explanations in Example-Based Learning? A Meta-Analytic Review (2010, background): “Note that the Q test usually has a relatively low statistical power when the number of studies is small (e.g., Huedo-Medina et al. 2006 ).”