|Title:||Interpreting 12th-Gradersí NAEP-Scaled Mathematics Performance Using High School Predictors and Postsecondary Outcomes From the National Education Longitudinal Study of 1988 (NELS:88)|
|Description:||This report utilizes four sources of NELS:88 data: questionnaire responses, tests, high school transcripts, and postsecondary education transcripts. The NELS:88 1992 12th grade mathematics assessment scores were transformed to the NAEP scale. The report relates mathematics results expressed in the NAEP metric (specifically, the NAEP achievement levels) to cross-sectional (12th grade) correlates of math achievement. It also relates 12th grade NAEP-scaled NELS:88 mathematics results (again expressed in terms of the NAEP achievement levels) to postsecondary educational outcomes. The report is divided into three chapters. Chapter 1 provides background information and an introduction. Chapter 2 examines the correlates of math achievementó student, family, and high school predictors (e.g., sex, race, socioeconomic status [SES], school sector, highest math course taken, grades, etc.) of 12th gradersí NAEP-Scaled performance. Chapter 3 relates high school seniorsí NAEP-scaled mathematics performance to later outcomes such as entry into postsecondary education, and baccalaureate attainment. These senior-year correlates (chapter 2) and future outcomes (chapter 3) are explored through bivariate tables; senior-year achievement correlates are also examined in a logistic regression. Two appendixes provide technical notes, a glossary of variables used, and tables of standard errors for all estimates contained in the report.|
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|Cover Date:||September 2007|
|Web Release:||September 18, 2007|
|Print Release:||This Publication will only be available online.|
|Publication #:||NCES 2007328
General Ordering Information
|Authors:||Scott, Leslie A.; and Ingels, Steven J.|
|Type of Product:||Statistical Analysis Report|
High School Transcript Studies (HST)
National Education Longitudinal Study of 1988 (NELS:88)
For questions about the content of this Statistical Analysis Report, please contact:
Jeffrey A. Owings.