SATcoaching

Effect sizes from randomized experiments on the effects of SAT coaching,
reported in Kalaian and Raudenbush (1996)

datasets

Provides several cluster-robust variance estimators
(i.e., sandwich estimators) for ordinary and weighted least squares linear
regression models, including the bias-reduced linearization estimator introduced
by Bell and McCaffrey (2002) <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf>
and developed further by Pustejovsky and Tipton (2016) <DOI:10.1080/07350015.2016.1247004>.
The package includes functions for estimating the variance-
covariance matrix and for testing single- and multiple-contrast hypotheses
based on Wald test statistics. Tests of single regression coefficients use
Satterthwaite or saddle-point corrections. Tests of multiple-contrast hypotheses
use an approximation to Hotelling's T-squared distribution. Methods are
provided for a variety of fitted models, including lm(), plm() (from package 'plm'),
gls() and lme() (from 'nlme'), robu() (from 'robumeta'), and rma.uni() and rma.mv() (from
'metafor').

James Pustejovsky

clubSandwich

Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Corrections

SATcoaching function

A data frame with 31 rows and 6 variables:<dl class="dl-horizontal">
 <dt>Study</dt><dd>Study identifier</dd> <dt>nT</dt><dd>Sample size in treatment 
 condition</dd> <dt>nC</dt><dd>Sample size in control condition</dd> <dt>T</dt><dd>Effect size
 estimate (Standardized mean difference)</dd> <dt>V</dt><dd>Variance of effect size 
 estimate</dd> <dt>Outcome</dt><dd>Factor indicating whether effect size corresponds 
 to outcome on verbal (SATV) or math (SATM) test</dd> </dl>

Format

Randomized experiments on SAT coaching — SATcoaching

A data frame with 31 rows and 6 variables:<dl class='dl-horizontal'>
 <dt>Study</dt><dd>Study identifier</dd> <dt>nT</dt><dd>Sample size in treatment 
 condition</dd> <dt>nC</dt><dd>Sample size in control condition</dd> <dt>T</dt><dd>Effect size
 estimate (Standardized mean difference)</dd> <dt>V</dt><dd>Variance of effect size 
 estimate</dd> <dt>Outcome</dt><dd>Factor indicating whether effect size corresponds 
 to outcome on verbal (SATV) or math (SATM) test</dd> </dl>

SATcoaching: Randomized experiments on SAT coaching

Description

Usage

Arguments

Format

References