| Conducted by the National Center for Education Statistics | |
| Agency overview | |
|---|---|
| Formed | 1972 |
| Jurisdiction | United States |
| Headquarters | Washington, D.C. |
| Employees | ~19,000 students surveyed in 1,000+ schools |
| Parent agency | National Center for Education Statistics U.S. Department of Education |
| Website | nces.ed.gov/surveys/nls72 |
The National Longitudinal Study of the High School Class of 1972 (NLS-72) was a comprehensive study conducted to track the educational, vocational, and personal development of high school seniors who graduated in 1972.
NLS-72 was implemented by the National Center for Education Statistics (NCES), a division of the U.S. Department of Education. It is the first in an ongoing series of longitudinal studies designed to offer policymakers and researchers data related to high school educational experiences in the United States.
NLS–72's design is a nationally representative, random sample of the three million American high school seniors enrolled in the spring of 1972. [1] Students answered questions about their personal and family background, education and work experiences, plans for the future, attitudes, and opinions. School administrators and counsellors provided additional information about students and schools.
The idea for national longitudinal surveys of high school students emerged during a period of rapid change in American society. The Baby Boom (1945–1965) led to a surge in public school enrollment, coinciding with desegregation following Brown v. Board of Education (1954). The Cold War and the Soviet Union's 1957 launch of Sputnik fueled public anxiety over the perceived technological and educational gap between the U.S. and the Soviet Union, prompting the federal government to take on a greater role in providing high-quality education to American schoolchildren. [2] President Lyndon B. Johnson's Great Society policies, including the Elementary and Secondary Education Act, sought to increase federal funding and evaluation of public schools. Social scientists were enlisted by the Department of Education to apply quantitative methods, a practice known as systems analysis, to guide policy making. This approach laid the foundation for evidence-based practices in policy analysis. [3]
Systems analysis allowed policymakers to collect, compare, and analyze educational data, such as teacher retention and graduation rates, to inform decisions. [2] The National Assessment of Educational Progress (NAEP), the first national assessment and report on the American school system, was introduced in 1964. This annual report provided aggregated snapshots of the U.S. education system and is still in use today. While valuable, the NAEP's static nature limited its ability to track changes over time and explore cause-and-effect relationships. Researchers advocated for longitudinal studies, which aimed to fill this gap. [2] [3]
The National Longitudinal Study of the High School Class of 1972 (NLS-72) was conceived in the early 1960s, during the height of systems analysis. Its goal was to understand the educational development of students and the factors influencing their education and career outcomes. [4] Researchers sought data on school quality, course patterns, attendance, ambition, and post-graduation outcomes, including higher education, the workforce, and family life. [5] Special attention was given to postsecondary trends, particularly in the context of the Civil Rights and Second-Wave Feminism movements, which saw increased attendance among women and students of color in higher education. The study also aimed to explore factors affecting postsecondary choices, including cost, access, and persistence. [5]
Base-year data for NLS-72 was collected in Spring 1972, prior to high school graduation. Students were selected using a stratified, two-stage probability sample, in which schools were selected first, and in the second stage, seniors were randomly chosen from each school. [5] The stratified, random sample originally included 1,200 schools from strata defined by characteristics like geographic region, school type, enrollment size, proximity to higher education institutions, racial and ethnic composition, community income, and urbanization level. [5] Schools in low-income areas and those with high numbers of Black, Hispanic, and other racial minority students were sampled at twice the rate of other schools. These groups were oversampled because while they made up a smaller amount of the population, adequate data on their experiences was needed to study and address racial opportunity gaps. [4] Within each school, eighteen senior students were randomly selected. Students who had dropped out, graduated early, or were in adult education classes were omitted.
Initial instruments included a Student Questionnaire, a Student Record Information Form (SRIF), a School Questionnaire, and a Counselor Questionnaire. The Student Questionnaire gathered information on personal and family backgrounds, education and work experiences, plans for the future, as well as attitudes, aspirations, and opinions. The questionnaire also included a cognitive test battery. [4] [6]
At the conclusion of the base-year survey, only 1,040 schools from the original sample, along with 26 backup schools, participated. At this point, several strata had no participating schools, and many only had one. To mitigate the effects of school nonresponse, a resurvey was conducted in the summer of 1973, prior to the first follow-up survey. The final NLS-72 sample comprised 23,450 former 1972 high school seniors and 1,340 schools. [5]
Follow-up surveys for the study were conducted in 1973, 1974, 1976, 1979, and 1986. These questionnaires collected information on sample members' marital status, children, educational attainment, military service, work history, attitudes and opinions related to self-esteem, goals, job satisfaction, and participation in community affairs. [5]
During the fourth follow-up survey (1979), a subsample of sample members who had completed the Student Questionnaire and the Cognitive Test Battery in the base-year were retested on a subset of the same Cognitive Test Battery. [5] Black sample members were oversampled to ensure an adequate number of Black NLS-72 sample members.
In 1986, the fifth follow-up survey involved an unequal probability subsample of 22,650 students who had participated in at least one of the previous five waves. This follow-up maintained the core features of the initial stratified, multistage design but differed by using unequal, secondary sampling to oversample policy-relevant groups and achieve cost-efficiency. [5] Specific subgroups retained with certainty included Hispanic respondents, teachers and potential teachers, individuals with advanced degrees, and those who were widowed, separated, or never-married parents.
The teaching supplement was administered to follow-up respondents in 1986 who indicated on the main survey that they had teaching experience or training. The supplement assessed the experiences, qualifications, and perspectives of current and former teachers, both elementary and secondary. The supplement also gathered data on the qualifications of those who had completed an education degree and/or received certification but had not become teachers. [7]
To study occupational and career outcomes, NCES requested official transcripts from all academic and vocational schools attended by NLS-72 sample members. High school transcripts were collected in 1973, and post-secondary transcripts in 1984. [5]
There is a large bibliography of over 1,000 publications which use data from NLS-72. [8] These publications cover varied topics including postsecondary education (issues of access, aid, persistence, aspirations), vocational and technical education, labor force participation, career development patterns, family and lifestyle activities, gender roles and attitudes, and survey methodology [4]
Below are some of the most-cited articles in various topics using data from NLS-72.
Because of the massive size and scope of the NLS-72 study and its follow-ups, the study has had substantive impact in social science research. Over the course of the five follow-ups, researchers were able to maintain high response rates and contact with sample members. Furthermore, NCES contracted partnerships with Research Triangle Institute (RTI) and Educational Testing Service (ETS) which led to extensive reports ensuring high quality data and outlining instructions for researcher use. [4] Many of these reports are available on the NCES website. [18]
NCES has continued the National Education Longitudinal Studies program with five additional longitudinal cohort studies, as of 2022. [19] These studies are separated by roughly ten years each and were designed to also be nationally representative and comparable to the data measured and collected in NLS-72. [20]
In 2022, researchers at The University of Texas at Austin, the University of Wisconsin-Madison, the University of Minnesota, and Columbia University were awarded a grant from the National Institute on Aging (NIA) (Grant U01 AG078533) to repurpose the project and conduct additional follow-up studies of NLS-72. [21] [22] [8] The 2025 follow-up of NLS-72 will assess sample members' cognitive skills in their early seventies to better understand the connections between education, life experiences, and health. The survey also collects updated information about sample members' work experiences, health, and exposure to discrimination. [21] [22] Study respondents will complete health measurements and be asked to provide blood and saliva samples. This information will be used to better understand how people's genes, biology, and life experiences intersect to influence health and cognitive well-being. [8] The resulting research will focus on understanding how opportunities and experiences of adolescents and young adults, as well as characteristics of students' high schools, future aspirations, post-secondary institution attendance and attainment, occupational choices, socioeconomic disparities, familial experiences, and geography shape sample members' lives, earnings, well-being, and cognitive health as they age and approach the retirement years. [8]
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