Description Usage Format Details References Examples
The dataset contains the reading and mathematics scores and other attributes of 600 kindergarteners. The variables are as follows.
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A data frame with 600 rows (participants) and 11 columns (variables).
dobmm. The date of birth measured in months.
gender. 1=Male; 2=Female
race.
1 = White,non-Hispanic
2 = Black or African American, non-Hispanic
3 = Hispanic, race specified
4 = Hispanic, race no specified
5 = Asian
6 = Native Hawaiin, other Pacific islander
7 = American Indian or Alaska native
8 = More than one race, non-Hispanic
readingIRT. Reading IRT (Item Response Theory) scaled score.
mathIRT. Mathematics IRT (Item Response Theory) scaled score.
numsib. Number of siblings in household.
parentedu. Parent highest education level.
ses. Continuous socioeconomic status measure.
relAge. The relative age of the participant entering kindergarten measured in months.
PredEnt. The predicted relative kindergarten entrance age.
mis.ind.read. Is the reading IRT score missing? 1=Yes, 0=No.
mis.ind.math. Is the math IRT score missing? 1=Yes, 0=No.
Zhong, S. Y., & Hoxby, C. M. (2012). The effects of relative age on early childhood academic achievement: how they differ between gender and change across time. (Unpublished Honors Thesis) Stanford University, Stanford, CA. http://economics. stanford. edu/_les/StephanieYuechenZhongHonorsThesis2012.
Tourangeau, K., Nord, C., Lê, T., Sorongon, A. G., & Najarian, M. (2009). Early childhood longitudinal study, kindergarten class of 1998–99 (ECLS-K), combined User's manual for the ECLS-K eighth-grade and K–8 full sample data files and electronic codebooks (NCES2009–004). National Center for Education Statistics, Institute of Education Sciences, U.S. Departmentof Education. Washington DC.
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