metadat (version 1.4-0)

dat.bourassa1996: Studies on the Association between Handedness and Eye-Dominance

Description

Results from 47 studies on the association between handedness and eye-dominance.

Usage

dat.bourassa1996

Format

The data frame contains the following columns:

study	numeric	study number
sample	numeric	sample number
author	character	(first) author
year	numeric	publication year
selection	character	selection of subjects on the basis of eyedness or handedness
investigator	character	investigator (psychologist, educationalist, or other)
hand_assess	character	method to assess handedness (questionnaire or performance based)
eye_assess	character	method to assess eyedness (see ‘Details’)
mage	numeric	mean age of sample
lh.le	numeric	number of left-handed left-eyed individuals
lh.re	numeric	number of left-handed right-eyed individuals
rh.le	numeric	number of right-handed left-eyed individuals
rh.re	numeric	number of right-handed right-eyed individuals
sex	character	sex of the sample (combined, male, or female)

Author

Wolfgang Viechtbauer, , https://www.metafor-project.org

Concepts

psychology, odds ratios, multilevel models

Details

The 47 studies included in this meta-analysis examined the association between handedness and eye-dominance (ocular dominance or eyedness). Results are given in terms of 2 22x2 tables, indicating the number of left-handed left-eyed, left-handed right-eyed, right-handed left-eyed, and right-handed right-eyed individuals in each sample. Note that some studies included multiple (independent) samples, so that the meta-analysis included 54 samples in total. Also, for some studies, the combined data of the males and females are further broken down into the two subgroups.

In some studies, there was indication that the selection of subjects was not random with respect to handedness and/or eyedness. While this should not influence the size of the association as measured with the odds ratio, this invalidates those studies for assessing the overall percentage of left-eyed and left-handed individuals.

Handedness was assessed in the individual studies either based on a questionnaire or based on task performance. Eyedness was assessed based on various methods: E.1 methods are based on task performance, while E.2.a denotes assessment based on a questionnaire. The performance based methods could be further broken down into: E.1.a.i (monocular procedure with object/instrument held in one hand), E.1.a.ii (monocular procedure with object/instrument held in both hands), E.1.b (binocular procedure), E.1.c (a combination of the previous methods), and E.1.d (some other method).

Examples

### copy data into 'dat' and examine data
dat <- dat.bourassa1996
head(dat, 10)

if (FALSE) {
### load metafor package
library(metafor)

### calculate log(OR) and corresponding sampling variance with 1/2 correction
dat <- escalc(measure="OR", ai=lh.le, bi=lh.re, ci=rh.le, di=rh.re, data=dat, add=1/2, to="all")
head(dat, 10)

### overall association between handedness and eyedness
res <- rma(yi, vi, data=dat, subset=sex=="combined")
res
predict(res, transf=exp, digits=2)

### multilevel model to account for heterogeneity at the study and sample levels
res <- rma.mv(yi, vi, random = ~ 1 | study/sample, data=dat, subset=sex=="combined")
res
predict(res, transf=exp, digits=2)

### restructure the dataset to keep only the male/female data when it is reported
### separately and the combined data when this is the only data reported
dat <- lapply(split(dat, dat$sample), function(x) {
   if (nrow(x) == 3L) {
      x[-which(x$sex == "combined"),]
   } else {
      x
   }
})
dat <- do.call(rbind, dat)
rownames(dat) <- NULL
dat

### multilevel model to account for heterogeneity at the study, sample, and subgroup levels
res <- rma.mv(yi, vi, random = ~ 1 | study/sample/sex, data=dat)
res
predict(res, transf=exp, digits=2)
}