Thailand: Thailand Data

In prLogistic: Estimation of Prevalence Ratios using Logistic Models

Description

Data are from a national survey of primary education in Thailand, including information for 8,582 sixth graders nested within 411 schools (Raudenbush & Bhumirat, 1992). The outcome binary variable "rgi" indicates whether a pupil has repeated a grade during primary education (0=no, 1=yes). The predictor variables are: child's sex (0=male, 1=female) and child's pre-primary education (0=no, 1=yes). Every level-1 record corresponds to a student.

Usage

data(Thailand)

Format

A data frame with 8,582 observations on the following 4 variables:

schoolid

School identification.

sex

Child's sex (0 if boy, 0 if girl).

pped

Pre-primary education indicator (1=yes, 0=no).

rgi

Repeated grade indicator (1=yes, 0=no).

Source

The data come from
Raudenbush, S, Bhumirat C. (1992) The distribution of resources for primary education and its consequences for educational achievement in Thailand. International Journal of Educational Research, 17, 143-164.

References

Raudenbush et al (2000) HLM 5. Hierarquical Linear and Nonlinear Modeling. Chicago: Scientific Software International.

Hox J (2002). Multilevel Analysis. Techniques and Applications. Mahwah, NJ: Lawrence Erlbaum Associates

Examples

data("Thailand", package = "prLogistic")
attach(Thailand)
summary(Thailand)

prLogistic documentation built on May 1, 2019, 10:28 p.m.