# If correcting for bivariate indirect RR, how do constructs correlate # What type of moderator analysis do you want (simple vs. Moderators = NULL, cat_moderators = TRUE, # What are your moderators and which ones are categorical? # Are your u ratios computed from observed (vs. # What are your range-restriction u (SD) ratios?
# What types of reliability estimates are you using? Rxx_restricted = TRUE, ryy_restricted = TRUE, # Are your reliability coefficients range restricted? # What are your reliability coefficients? Indirect_rr_x = TRUE, indirect_rr_y = TRUE, # Specify constructs and measures of constructs.Ĭorrect_rr_x = TRUE, correct_rr_y = TRUE, # Specify essential effect-size information. The arguments to this function are: ma_r( Ma_r() is the general-purpose meta-analysis function for correlations To include converted effect sizes in a meta-analysis, merge output of convert_es() into your data frame, at least the the columns for the converted effect sizes ( r, d, AUC), sample size ( n), effective sample size ( n_eff): convert_es(es = c(.4. The convert_es() function can be used to convert a wide variety of statistics to the r or d metric.