prLogistic (version 1.0)

Thailand: Thailand Data

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)

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)