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Testing for Heteroscedasticity and the Early Childhood Longitudinal Study (1998): Kindergarten Reading and Math Performance in the U.S.

Dataset
By: The Odum Institute Published: 2015 | Product: SAGE Research Methods Datasets
Data Type: Survey
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Abstract

This dataset example introduces readers to testing for heteroscedasticity following a linear regression analysis. Linear regression rests on several assumptions, one of which is that the variance of the residuals from the model is constant and unrelated to the independent variable(s). Constant variance is called homoscedasticity, while non-constant variance is called heteroscedasticity. In this example, we estimate a simple regression model using a subset of data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 (ECLSK) at the National Center for Education Statistics to examine whether math performance in kindergarten predicts reading performance in kindergarten. After performing the regression, we show how to examine the results for evidence of heteroscedasticity. Analysis like this might help researchers and policy makers better understand early childhood education.

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About This Dataset
Data Source Citation

National Center for Education Statistics, United States Department of Education. (2009). Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 (ECLS-K) [Data file]. Retrieved from http://nces.ed.gov/ecls/kindergarten.asp

Full title of originating dataset

Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 (ECLS-K)

Data author(s) and affiliations

National Center for Education Statistics, Institute of Education Sciences, United States Department of Education

Dataset source website address

http://nces.ed.gov/ecls/kindergarten.asp

First publication date

2009

Data Universe

Children entering kindergarten in 1998-99 in the United States

Funding sources/suppliers

Administration on Children, Youth and Families (ACYF), U.S. Department of Health and Human Services (HHS)

Economic Research Services (ERS), U.S. Department of Agriculture (USDA)

Office of Special Education Programs (OSEP), U.S. Department of Education

Office of English Language Acquisition (OELA), U.S. Department of Education

Policy and Programs Studies Services, U.S. Department of Education

National Center for Special Education Research (NCSER), IES, U.S. Department of Education

Sample/sampling procedures

A multistage probability sample design was employed to select a nationally representative sample of children attending kindergarten from 1998–1999.

Data collection dates

1998–1999

Unit of analysis

Individual

Location covered by data

United States

Links to SRM content
  • Sweeney, K. (2004). Heteroskedasticity. In M. S. Lewis-Beck, A. Bryman, & T. Futing Liao (Eds.), The SAGE encyclopedia of social science research methods (pp. 459–460). Thousand Oaks, CA: Sage Publications, Inc. doi: http://dx.doi.org/10.4135/9781412950589.n392
  • Kaufman, R. L. (2013). Heteroskedasticity in regression: Detection and correction. Thousand Oaks, CA: SAGE Publications, Inc. doi: http://dx.doi.org/10.4135/9781452270128
List of variables

c1r4rscl

C1 RC4 READING IRT SCALE SCORE

c1r4mscl

C1 RC4 MATH IRT SCALE SCORE

c1rgscal

C1 REC GENERAL KNOWLEDGE IRT SCALE SCORE

c2r4rscl

C2 RC4 READING IRT SCALE SCORE

c2r4mscl

C2 RC4 MATH IRT SCALE SCORE

c2rgscal

C2 REC GENERAL KNOWLEDGE IRT SCALE SCORE

p2income

P2 PAQ100 TOTAL HOUSEHOLD INCOME ($)

income1000

Income in Thousands

incomecat

Income Categories