Browsing by Subject "Mixed-effects model"

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    Testing Categorical Moderators in Mixed- Effects Meta-analysis in the Presence of Heteroscedasticity
    (Taylor and Francis Group, 2019-06-30) Rubio-Aparicio, María; López-López, José Antonio; Viechtbauer, Wolfgang; Marín-Martínez, Fulgencio; Botella, Juan; Sánchez-Meca, Julio; Psicología Básica y Metodología
    Mixed-effects models can be used to examine the association between a categorical moderator and the magnitude of the effect size. Two approaches are available to estimate the residual between-studies variance, s2 res—namely, separate estimation within each category of the moderator versus pooled estimation across all categories. We examine, by means of a Monte Carlo simulation study, both approaches for s2 res estimation in combination with two methods, the Wald-type v2 and F tests, to test the statistical significance of the moderator. Results suggest that the F test using a pooled estimate of s2 res across categories is the best option in most conditions, although the F test using separate estimates of s2 res is preferable if the residual heterogeneity variances are heteroscedastic.