Description

Print method for objects of class "anova.rma".

Usage

Arguments

Details

The output includes:

• the number of parameters in the full and the reduced model.

• the AIC, BIC, AICc, and log-likelihood of the full and the reduced model.

• the value of the likelihood ratio test statistic.

• the p-value for the likelihood ratio test.

• the test statistic for the test of (residual) heterogeneity for the full and the reduced model.

• the estimate of τ² from the full and the reduced model. Suppressed for fixed-effects models.

• R2amount (in percent) of heterogeneity in the reduced model that is accounted for in the full model (NA for fixed-effects models or for "rma.mv" objects). This can be regarded as a pseudo R² statistic (Raudenbush, 2009). Note that the value may not be very accurate unless k is large (Lopez-Lopez et al., 2014).

The last two items are not provided when comparing "rma.mv" models.

Value

The function does not return an object.

Author(s)

Wolfgang Viechtbauer wvb@metafor-project.org http://www.metafor-project.org/

References

López-López, J. A., Marín-Martínez, F., Sánchez-Meca, J., Van den Noortgate, W., & Viechtbauer, W. (2014). Estimation of the predictive power of the model in mixed-effects meta-regression: A simulation study. British Journal of Mathematical and Statistical Psychology, 67, 30–48.

Raudenbush, S. W. (2009). Analyzing effect sizes: Random effects models. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 295–315). New York: Russell Sage Foundation.

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://www.jstatsoft.org/v036/i03.

See Also

anova.rma