metafor (version 1.9-4)

dat.raudenbush1985: Studies on Assessing the Effects of Teacher Expectations on Pupil IQ

Description

Results from 19 studies examining how teachers' expectations about their pupils can influence actual IQ levels.

Usage

dat.raudenbush1985

format

The data frame contains the following columns: lll{ study numeric study number author character study author(s) year numeric publication year weeks numeric weeks of contact prior to expectancy induction setting character whether tests were group or individually administered tester character whether test administrator was aware or blind yi numeric standardized mean difference vi numeric corresponding sampling variance }

source

Raudenbush, S. W. (1984). Magnitude of teacher expectancy effects on pupil IQ as a function of the credibility of expectancy induction: A synthesis of findings from 18 experiments. Journal of Educational Psychology, 76, 85--97. Raudenbush, S. W., & Bryk, A. S. (1985). Empirical Bayes meta-analysis. Journal of Educational Statistics, 10, 75--98.

Details

In the so-called Pygmalion study (Rosenthal & Jacobson, 1968), all of the children in an elementary school were administered a test labeled the Harvard Test of Inflected Acquisition. After explaining that this newly designed instrument had identified those children most likely to show dramatic intellectual growth during the coming year, the experimenters gave the names of these bloomers to the teachers. In truth, the test was a traditional IQ test and the bloomers were a randomly selected 20 In the following years, a series of studies were conducted attempting to replicate this rather controversial finding. However, the great majority of those studies were unable to demonstrate a statistically significant difference between the two experimental groups in terms of IQ scores. Raudenbush (1984) conducted a meta-analysis based on 19 such studies to further examine the evidence for the existence of the Pygmalion effect. The dataset includes the results from these studies. The effect size measure used for the meta-analysis was the standardized mean difference (yi), with positive values indicating that the supposed bloomers had, on average, higher IQ scores than those in the control group. The weeks variable indicates the number of weeks of prior contact between teachers and students before the expectancy induction. Testing was done either in a group setting or individually, which is indicated by the setting variable. Finally, the tester variable indicates whether the test administrators were either aware or blind to the researcher-provided designations of the children's intellectual potential. The data in this dataset were obtained from Raudenbush and Bryk (1985) with information on the setting and tester variables extracted from Raudenbush (1984).

Examples

### load data
dat <- get(data(dat.raudenbush1985))

### random-effects model
res <- rma(yi, vi, data=dat)
res