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.
A data frame with 8,582 observations on the following 4 variables:
Child's sex (0 if boy, 0 if girl).
Pre-primary education indicator (1=yes, 0=no).
Repeated grade indicator (1=yes, 0=no).
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.
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
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