school

The original data source is the Education Longitudinal Study of 2002. To deal with the issue on individually identifiable information, we generated hypothetical student-level data using a multiple imputation method. The Education Longitudinal Study of 2002 used a two-stage sample selection process. First, a national sample of schools was selected using stratified probability proportional to size (PPS), and school contacting resulted in 1,221 eligible public, Catholic, and other private schools from a population of approximately 27,000 schools containing 10th grade students. Of the eligible schools, 752 participated in the study. In the second stage of sample selection, a sample of approximately 26 sophomores, from within each of the participating public and private schools was selected. Each school was asked to provide a list of 10th grade students, and quality assurance (QA) checks were performed on each list that was received.

datasets

mediation is a publicly available R package that allows both parametric and nonparametric causal mediation analysis.  It implements the methods and suggestions in Imai, Keele and Yamamoto (2010), Imai, Keele and Tingley (2010), Imai, Tingley and Yamamoto (2013) and Imai and Yamamoto (2013). In addition to the estimation of causal mediation effects, the software also allows researchers to conduct sensitivity analysis for certain parametric models.

Teppei Yamamoto

mediation

R Package for Causal Mediation Analysis

school function

The complete student-level data is available from the data archives at www.icpsr.umich.edu/

school: School-level data

Description

Usage

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source

References