Von Hippel & Cañedo (2021) reported that US kindergarten teachers placed girls, Asian-Americans, and children from families of high socioeconomic status (SES) into higher ability groups than their test scores alone would warrant. The results fit the view that teachers were biased. This comment asks whether parents' lobbying for higher…

Federal accountability policy mandates that states administer standardized tests beginning in third grade. In turn, third-grade test scores are often viewed as a key indicator in policy and practice. Yet literacy struggles begin well before third grade, as do racial and socioeconomic disparities in children's literacy skills. Kindergarten…

Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply these steps to the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011. A key step is the construction of indices of nonresponse bias based on proxy…

K-12 gifted and talented programs have struggled with racial, ethnic, socioeconomic, native language, and disability inequity since their inception. This inequity has been well documented in public schools since at least the 1970s and has been stubbornly persistent despite receiving substantial attention at conferences, in scholarly journals, and…

Many kindergarten teachers use ability groups to differentiate instruction in reading and math. Ability group placement should depend primarily on student achievement, but critics charge that placement is biased by socioeconomic status (SES), gender, and race/ethnicity. We predict group placement in the Early Childhood Longitudinal Study of the…

Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…

This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…

The term the "female advantage" is commonly used to describe gender inequalities in education, including in early childhood. This study seeks to problematize this idea by including the intersection of children's race and gender. This article examines race and gender disparities in teachers' perceptions of children's problem behaviors and…

Half of kindergarten teachers split children into higher and lower ability groups for reading or math. In national data, we predicted kindergarten ability group placement using linear and ordinal logistic regression with classroom fixed effects. In fall, test scores were the best predictors of group placement, but there was bias favoring girls,…

Half of kindergarten teachers split children into higher and lower ability groups for reading or math. In national data, we predicted kindergarten ability group placement using linear and ordinal logistic regression with classroom fixed effects. In fall, test scores were the best predictors of group placement, but there was bias favoring girls,…

Third grade is oftentimes the first year standardized literacy assessments are mandated. In turn many policies aimed at improving literacy have focused on third-grade test scores as a key indicator. Yet literacy struggles begin well before third grade, as do racial and socioeconomic disparities in children's literacy skills. Kindergarten readiness…

Respondent attrition is a common problem in national longitudinal panel surveys. To make full use of the data, weights are provided to account for attrition. Weight adjustments are based on sampling design information and data from the base year; information from subsequent waves is typically not utilized. Alternative methods to address bias from…

Background: Observation Studies, Unmeasured Confounding, and Sensitivity Analysis: An important part of educational research is identifying important, potentially causal, factors that influence children's learning from observational studies. However, it is well-known that discovering such factors from observational studies can be biased due to…

Significant racial and ethnic achievement gaps exist between students in the U.S. by elementary school, although the underlying causes for these achievement gaps differ. One factor for racial/ethnic achievement gaps is between-group differences in socioeconomic status (SES), particularly exposure to poverty. Moreover, other factors contributing to…

Although disproportionality has been a focus of special education research for more than 50 years, relatively few researchers have addressed potential inequitable or inappropriate treatment of Asian American and Pacific Islander (AAPI) students in the United States, particularly in quantitative research. This multistudy investigation explored…