Longitudinal Study of American Youth

Longitudinal Study of American Youth
Name	Longitudinal Study of American Youth
Acronym	LSAY
Start year	1987
End year	2000s
Country	United States
Fields	Science, Mathematics, Education
Principal investigators	Norma G. Lederman; Judith W. Lederman

Longitudinal Study of American Youth The Longitudinal Study of American Youth followed cohorts of students to examine developmental trajectories in science and mathematics learning across secondary school years. Conceived in the late 1980s, the project linked curriculum variables, teacher practices, and student outcomes to inform systemic reforms in secondary curricula and teacher preparation. It produced datasets and instruments used by scholars, policymakers, and professional organizations to assess long-term trends in student achievement and course-taking patterns.

Overview and Objectives

The study aimed to document growth in achievement, attitudes, and course-taking in Mathematics education, Science education, and related curricular areas while identifying influences from teachers, schools, and communities. Objectives included mapping trajectories comparable to national initiatives such as Goals 2000 and benchmarking against reports from National Research Council, National Science Foundation, and U.S. Department of Education. Investigators sought to evaluate interventions promoted by organizations including American Association for the Advancement of Science, National Council of Teachers of Mathematics, and Carnegie Foundation for the Advancement of Teaching.

Study Design and Methodology

Researchers implemented a cohort-sequential, multi-site design sampling students from regions associated with institutions such as Purdue University, Indiana University, and Michigan State University. Data collection combined standardized assessments aligned to frameworks from National Assessment of Educational Progress, surveys modeled on instruments used by RAND Corporation and Educational Testing Service, and classroom observations influenced by protocols from ERIC (database). Teacher variables included certification and preparation measures tied to programs at Teachers College, Columbia University and Stanford Graduate School of Education. Analytical techniques employed longitudinal modeling similar to methods used in research by scholars affiliated with Harvard Graduate School of Education and University of Chicago quantitative groups.

Key Findings and Outcomes

Analyses revealed stratified patterns in mathematics course-taking comparable to trends identified by College Board reports and echoes of recommendations from National Commission on Mathematics and Science Teaching for the 21st Century. Findings highlighted associations among classroom instructional practices, student attitudes toward STEM fields, and later postsecondary enrollment metrics tracked by National Student Clearinghouse-type databases. The study documented gender and socioeconomic gaps paralleling analyses by AAUW, Pew Research Center, and research produced at Brookings Institution. Results informed model curricula promoted by Project 2061 and contributed to standards discussions involving Next Generation Science Standards stakeholders.

Impact on Education Policy and Practice

Results were cited in policy debates involving legislators and agencies such as U.S. Congress, Office of Educational Technology (U.S. Department of Education), and advisory panels convened by National Science Foundation. The study influenced teacher professional development initiatives affiliated with National Science Teachers Association and curricular revisions at state departments like California Department of Education and Texas Education Agency. Higher education programs at University of Michigan, Ohio State University, and University of California, Berkeley incorporated findings into teacher-preparation coursework, while philanthropic organizations such as Ford Foundation and Spencer Foundation funded related scale-up projects.

Criticisms and Limitations

Critics noted sampling and generalizability concerns comparable to critiques leveled at large surveys by General Accounting Office (GAO) and methodological debates in journals like American Educational Research Journal and Journal of Educational Measurement. Limitations included reliance on regionally clustered cohorts rather than nationally probability-based sampling modeled after National Assessment of Educational Progress, potential measurement invariance issues discussed in forums at American Statistical Association, and changing curricular standards that complicated longitudinal comparability akin to challenges noted in Trends in International Mathematics and Science Study. Scholars from Vanderbilt University and University of Wisconsin–Madison raised questions about causality and unmeasured confounders.

Subsequent Research and Legacy

Following the project, datasets and instruments were reused in follow-up studies by teams at University of Iowa, University of Minnesota, and Pennsylvania State University, and informed meta-analyses appearing in outlets linked to Johns Hopkins University and Columbia University. The study’s legacy persists in research networks associated with Consortium of Mathematics and its Applications and policy centers such as Achieve, Inc. Its methodological contributions influenced later longitudinal cohorts, including designs used by Early Childhood Longitudinal Study investigators and comparative work in international assessments like Programme for International Student Assessment.

Category:Educational research studies