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Yongyun Shin; Stephen W. Raudenbush – Grantee Submission, 2023
We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…
Descriptors: Maximum Likelihood Statistics, Hierarchical Linear Modeling, Error of Measurement, Statistical Distributions
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Oropesa, R. S.; Landale, Nancy S. – Sociology of Education, 2009
Using data from the 2000 Public Use Sample of the U.S. census, this research examined how estimates of school enrollment and school-work patterns among Mexican-origin adolescents are affected by including or excluding young immigrants who never enrolled in U.S. schools. The analysis demonstrates that a nontrivial share of adolescents who were born…
Descriptors: Foreign Countries, Mexicans, Immigrants, Adolescents