2006
DOI: 10.1037/1082-989x.11.2.193
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Assessing heterogeneity in meta-analysis: Q statistic or I² index?

Abstract: In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by means of the Q test. However, the Q test only informs meta-analysts about the presence versus the absence of heterogeneity, but it does not report on the extent of such heterogeneity. Recently, the I 2 index has been proposed to quantify the degree of heterogeneity in a meta-analysis. In this article, the performances of the Q test and the confidence interval around the I 2 index are compared by means of a Monte C… Show more

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Cited by 3,224 publications
(2,393 citation statements)
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“…For example, socioeconomic status (SES) was not examined as a moderator of weight management interventions in primary care settings due to the lack of consistent reporting practices for information regarding SES. Future studies should use similar measurements of SES, such as the Hollingshead FourFactor Index of Socioeconomic Status (Hollingshead, 1975). Similarly, articles did not uniformly provide information on participant satisfaction, acceptability of the intervention, and attendance; thus, these factors were not examined as potential moderators.…”
Section: Discussionmentioning
confidence: 99%
“…For example, socioeconomic status (SES) was not examined as a moderator of weight management interventions in primary care settings due to the lack of consistent reporting practices for information regarding SES. Future studies should use similar measurements of SES, such as the Hollingshead FourFactor Index of Socioeconomic Status (Hollingshead, 1975). Similarly, articles did not uniformly provide information on participant satisfaction, acceptability of the intervention, and attendance; thus, these factors were not examined as potential moderators.…”
Section: Discussionmentioning
confidence: 99%
“…The Q-statistic was then used to calculate the I 2 index. While a significant Q-statistic informs whether moderation may be present, the I 2 index informs the extent of the heterogeneity (Higgins and Thompson, 2002;Huedo-Medina et al, 2006). I 2 values below 25% reflect low heterogeneity, 25%-50% medium heterogeneity, 50%-75% high heterogeneity, and above 75% extreme heterogeneity (Fazel et al, 2009).…”
Section: Meta-analytic Methodsmentioning
confidence: 99%
“…I 2 values below 25% reflect low heterogeneity, 25%-50% medium heterogeneity, 50%-75% high heterogeneity, and above 75% extreme heterogeneity (Fazel et al, 2009). I 2 values greater than or equal to 25% were examined for the presence of moderators, as this suggests between study variability in effect sizes was greater than expected by chance and this threshold has been used in other meta-analyses (Huedo-Medina et al, 2006). Meta-regressions were run to test moderator variables using a macro provided by Wilson (2010), "MetaReg," which runs a weighted generalized least squares regression (Wilson, 2010).…”
Section: Meta-analytic Methodsmentioning
confidence: 99%
“…Confidence intervals (CI) were also reported at the 95% confidence level. A Q statistic was used to determine the presence of heterogeneity (Huedo-Medina et al, 2006) and an I 2 statistic estimated the amount of variance between studies. Heterogeneity was considered inconsequential if the variance between studies (I 2 ) was <25% and was considered substantial if >75% (Higgins et al, 2003).…”
Section: Statistical Analysesmentioning
confidence: 99%