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

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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:

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
n1i	numeric	sample size of experimental group
n2i	numeric	sample size of control group
yi	numeric	standardized mean difference
vi	numeric	corresponding sampling variance

Details

In the so-called ‘Pygmalion study’ (Rosenthal & Jacobson, 1968), “all of the predominantly poor children in the so-called Oak elementary school were administered a test pretentiously 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% of the student population. After retesting the children 8 months later, the experimenters reported that those predicted to bloom had in fact gained significantly more in total IQ (nearly 4 points) and reasoning IQ (7 points) than the control group children. Further, at the end of the study, the teachers rated the experimental children as intellectually more curious, happier, better adjusted, and less in need of approval than their control group peers” (Raudenbush, 1984).

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 outcome 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).

Concepts

education, standardized mean differences, meta-regression

Author(s)

Wolfgang Viechtbauer, [e-mail], https://www.metafor-project.org

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(1), 85–97. https://doi.org/10.1037/0022-0663.76.1.85

Raudenbush, S. W., & Bryk, A. S. (1985). Empirical Bayes meta-analysis. Journal of Educational Statistics, 10(2), 75–98. https://doi.org/10.3102/10769986010002075

Examples

### copy data into 'dat' and examine data
dat <- dat.raudenbush1985
dat

## Not run: 

### load metafor package
library(metafor)

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

### create weeks variable where values larger than 3 are set to 3
dat$weeks.c <- ifelse(dat$weeks > 3, 3, dat$weeks)

### mixed-effects model with weeks.c variable as moderator
res <- rma(yi, vi, mods = ~ weeks.c, data = dat, digits = 3)
res


## End(Not run)

metadat documentation built on April 6, 2022, 5:08 p.m.