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High School and Beyond, 1980: Sophomore and Senior Cohort First Follow-Up (1982)

Version
v1
Resource Type
Dataset : aggregate data, event/transaction data, survey data
Creator
  • United States Department of Education. National Center for Education Statistics
Other Title
  • Version 1 (Subtitle)
Collective Title
  • High School and Beyond (HS&B) Series
Publication Date
1984-11-14
Language
English
Free Keywords
academic achievement; aspirations; career expectations; education costs; educational environment; educational programs; expectations; family background; friendships; goals; high school students; job history; life plans; marital status; occupational mobility; parent child relationship; parental attitudes; peer influence; postsecondary education; religious beliefs; secondary education; self concept; socialization; student attitudes; student behavior; teacher attitudes; test scores; values; work experience
Description
  • Abstract

    This data collection provides the second wave of data in a longitudinal, multi-cohort study of American youth conducted by the National Opinion Research Center (NORC) on behalf of the National Center for Education Statistics. The first wave of data was collected in 1980 (ICPSR 7896) and the third wave was collected in 1984 (ICPSR 8443). Student identification numbers included in each record permit data from these surveys to be merged with other High School and Beyond files. The base-year (1980) study incorporated student data from both cohorts into one file. Due to the more complex design of the First Follow-Up and a resulting increase in the volume of available data, separate files have been created for the two cohorts. The sophomore cohort portion of this collection replicates nearly all of the types of data gathered in the base-year study (ICPSR 7896), including students' behavior and experiences in the secondary school setting, outside employment, educational and occupational aspirations and expectations, personal and family background, and personal attitudes and beliefs. Also, the same cognitive test was administered in the base-year and follow-up surveys. The senior cohort portion, in contrast, emphasizes postsecondary education and work experiences. Education data include the amount and type of school completed, school financing, aspirations, and non-school training. Information is also provided on labor force participation and aspirations, military service, and financial status. The senior cohort did not take the cognitive test for the follow-up survey. Both cohorts provide demographic data such as age, race, sex, and ethnic background. The Transcripts Survey provides information on individual students such as the type of high school program, the student's grade point average, attendance, class rank and size, and participation in special education programs, plus course-oriented data such as the year a course was taken, the type of course, credit earned, and grades received. The Offerings and Enrollments Survey file contains data on each school in the sample and include variables such as size and type of institution, type of schedule used, ethnic composition of the faculty and student body, busing, types of programs and specific courses offered, school facilities, number of handicapped students, and school staffing. In addition, information is provided on academic and disciplinary policies, and perceived problems in the school. The Local Labor Market Indicators file contains economic and labor market data for the geographical area of each school in the sample, given both by county and by Standard Metropolitan Statistical Area. The School Questionnaire file incorporates data elements from both the Base-Year School Questionnaire and the First Follow-up School Questionnaire, along with other information from sampling files, into a single record for each school. Topics include institutional characteristics such as total enrollment, average daily attendance rates, dropout rates, remedial programs, provisions for handicapped and disadvantaged students, participation in federal programs, teacher retention and absenteeism, per-pupil expenditures, school rules and policies, and ownership and funding of nonpublic schools.
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: Sophomore Cohort First Follow-Up Data
    • DS2: SAS Control Cards for Sophomore First Follow-up Data
    • DS3: User's Manual for Sophomore First Follow-up Data
    • DS4: Senior Cohort First Follow-Up Data
    • DS5: SAS Control Cards for Senior First Follow-up Data
    • DS6: Sophomore Cohort Transcripts Survey Data
    • DS7: Sophomore Cohort Transcripts Survey CSSC Codes
    • DS8: Sophomore Cohort Transcripts Survey SPSS Cards for Record Sophomore Cohort Type 1
    • DS9: Sophomore Cohort Transcripts Survey SPSS Cards for Record Sophomore Cohort Type 2
    • DS10: Sophomore Cohort Transcripts Survey SAS Control Cards
    • DS11: Course Offerings and Enrollments Data
    • DS12: Course Offerings and Enrollments CSSC Codes
    • DS13: Course Offerings and Enrollments SPSS Cards for Record Type 1
    • DS14: Course Offerings and Enrollments SPSS Cards for Record Type 2
    • DS15: Local Labor Market Indicators Data
    • DS16: Local Labor Market Indicators SAS Control Cards
    • DS17: School Questionnaire Data
    • DS18: SAS Control Cards for School Questionnaire Data
Temporal Coverage
  • 1980 / 1982
    Time period: 1980--1982
  • Collection date: 1982
Geographic Coverage
  • United States
Sampled Universe
The universe for this collection consists of all persons in the United States who were high school sophomores or seniors in 1980.
Sampling
The base-year High School and Beyond Survey (ICPSR 7896) used a stratified, disproportionate probability sample of 1,122 schools selected from a sampling frame of 24,725 high schools. Within each school, 36 seniors and 36 sophomores were randomly chosen. For the First Follow-Up, the National Opinion Research Center attempted to survey all 1980 sophomores and a subsample of 1980 seniors who participated in the base-year survey. Supplementary questionnaires were utilized for those 1980 sophomores who were not currently attending any school, had transferred to other schools, or had graduated early. The Transcripts Survey includes every secondary-school course taken by a sub-sample of the sophomore cohort. The Course Offerings and Enrollments Survey contains data from schools that were selected as first-stage sample units (clusters) for the sampling of students in the base-year survey, and in which sophomore High School and Beyond students were actively enrolled during the 1981-1982 academic year. For the Local Labor Market Indicators file, economic variables were derived from data provided by the Bureau of Labor Statistics and the Bureau of Economic Analysis. For the School Questionnaire file, follow-up data were requested from all base-year schools that were still in existence as independent institutions and that had members of the 1980 sophomore cohort currently enrolled. Follow-up data were not collected from schools that had closed, merged with other schools, or had no 10th or 12th grade students during the base year, nor from schools to which students transferred as individuals. However, in 17 instances students from a base-year school were transferred en masse to a new school, and school questionnaires were sought from these new schools. These 17 schools do not have weights as their selection probabilities are unknown.
Collection Mode
  • There are two distinct types of records in the Transcripts and the Offerings and Enrollments files: for each case, there is a Type 1 record that contains information for a single student or school. Immediately following each Type 1 record are one or more Type 2 records, each of which provides data on a single course taken by the student or offered by the school. Because the number of courses may vary, the length of the combined Type 2 records varies as well. Therefore these two files are written in variable blocked format. In both of these files the total number of records greatly exceeds the number of cases: the Transcripts file has a total of 471,330 records, and the Offerings and Enrollments file has 142,290 records.

Availability
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 8297 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR08297.v2
Publications
  • Flashman, Jennifer. A cohort perspective on gender gaps in college attendance and completion. Research in Higher Education.545-570.2013.
    • ID: 10.1007/s11162-013-9285-8 (DOI)
  • Mulder, Joris, Fox, Jean-Paul. Bayesian tests on components of the compound symmetry covariance matrix. Statistics and Computing.23, (1), 109-122.2013.
    • ID: 10.1007/s11222-011-9295-3 (DOI)
  • Yakusheva, Olga. In high school and pregnant: The importance of educational and fertility expectations for subsequent outcomes. Economic Inquiry.49, ( 3), 810-837.2011.
    • ID: 10.1111/j.1465-7295.2010.00313.x (DOI)
  • Berends, M., Peñaloza, R.. Increasing racial isolation and test score gaps in mathematics: A 30-year perspective. Teachers College Record.112, (4), 978-1007.2010.
  • Konstantopoulos, S.. The mean Is not enough: Using quantile regression to examine trends in Asian-White differences across the entire achievement distribution. Teachers College Record.111, (5), 1274-1295.2009.
  • Melguizo, T.. Are community colleges an alternative path for hispanic students to attain a bachelor's degree?. Teachers College Record.111, (1), 90-123.2009.
  • Sterba, Sonya K.. Alternative model-based and design-based frameworks for inference from samples to populations: From polarization to integration. Multivariate Behavioral Research.44, (6), 711-740.2009.
    • ID: 10.1080/00273170903333574 (DOI)
  • Dowd, A.C., Melguizo, T.. Socioeconomic stratification of community college transfer access in the 1980s and 1990s: Evidence from HS&B and NELS. Review of Higher Education.31, (4), 377-400.2008.
  • Kalenkoski, Charlene. Parent-child bargaining, parental transfers, and the post-secondary education decision. Applied Economics.40, (4), 413-436.2008.
    • ID: 10.1080/00036840600690264 (DOI)
  • Hanson, Sandra L.. Young women, sports, and science. Theory into Practice.46, (2), 155-161.2007.
    • ID: 10.1080/00405840701233149 (DOI)
  • Li, Mingliang. Bayesian proportional hazard analysis of the timing of high school dropout decisions. Econometric Reviews.26, (5), 529-556.2007.
    • ID: 10.1080/07474930701509416 (DOI)
  • Gonzalez, Arturo, Hilmer, Michael J.. The role of 2-year colleges in the improving situation of Hispanic postsecondary education. Economics of Education Review.25, (3), 249-257.2006.
    • ID: 10.1016/j.econedurev.2004.12.002 (DOI)
  • Kaltenboeck, Anna. Peer Math Ability, Quantitative Curriculum Content, and Wages: A Story of Gender Differences. Thesis, Tufts University. 2006.
  • Li, Mingliang. High school completion and future youth unemployment: New evidence from High School and Beyond. Journal of Applied Econometrics.21, 23-53.2006.
    • ID: 10.1002/jae.817 (DOI)
  • Zavodny, Madeline. Does watching television rot your mind? Estimates of the effect on test scores. Economics of Education Review.25, (5), 565-573.2006.
    • ID: 10.1016/j.econedurev.2005.08.003 (DOI)
  • Li, Mingliang, Tobias, Justin L.. Bayesian modeling of school effects using hierarchical models with smoothing priors. Studies in Nonlinear Dynamics and Econometrics.9, (3), 1-31.2005.
  • Adelman, Clifford. The Empirical Curriculum: Changes in Postsecondary Course-Taking, 1972-2000. Washington, DC: United States Department of Education. 2004.
    • ID: http://www.eric.ed.gov:80/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/1b/9c/5e.pdf (URL)
  • Do, Chau. The effects of local colleges on the quality of college attended. Economics of Education Review.23, (3), 249-257.2004.
    • ID: 10.1016/j.econedurev.2003.05.001 (DOI)
  • Koball, Heather L.. Crossing the threshold: Men's incomes, attitudes toward the provider role, and marriage timing. Sex Roles.51, (7-8), 387-395.2004.
    • ID: 10.1023/B:SERS.0000049228.77597.1a (DOI)
  • Konstantopoulos, Spyros, Constant, Amelie. Gender Differences Across Earnings Distribution: Evidence from NLS:86 & HSB:92. Discussion Paper Series.IZA DP No. 1425, Bonn, Germany: Institute for the Study of Labor. 2004.
    • ID: ftp://ftp.iza.org/dps/dp1425.pdf (URL)
  • Li, Mingliang, Poirier, Dale J., Tobias, Justin L.. Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models. Journal of Applied Econometrics.19, (2), 203-225.2004.
    • ID: 10.1002/jae.731 (DOI)
  • Rose, Heather. Has curriculum closed the test score gap in math?. Topics in Economic Analysis and Policy.4, (1), np2004.
  • Rose, Heather, Betts, Julian R.. The effect of high school courses on earnings. Review of Economics and Statistics.86, (2), 497-513.2004.
    • ID: 10.1162/003465304323031076 (DOI)
  • Sahin, Aysegul. The Incentive Effects of Higher Education Subsidies on Student Effort. Federal Reserve Bank of New York Report No. 192.New York, NY: Federal Reserve Bank of New York. 2004.
    • ID: http://www.newyorkfed.org/research/staff_reports/sr192.pdf (URL)
  • Betts, Julian R., Grogger, Jeff. The impact of grading standards on student achievement, educational attainment, and entry-level earnings. Economics of Education Review.22, (4), 343-352.2003.
    • ID: 10.1016/S0272-7757(02)00059-6 (DOI)
  • Dee, Thomas S.. The Effects of Catholic Schooling on Civic Participation. CIRCLE Working Paper 09.College Park, MD: University of Maryland, School of Public Policy. 2003.
    • ID: http://www.eric.ed.gov:80/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/36/25/a2.pdf (URL)
  • Egemba, Maria Olivia, Crawford, James R.. An analysis of Hispanic students' drop out rates. The 84th Annual Meeting of the American Educational Research Association.Chicago, IL. 2003.
  • Gibson, Nicole Morgan, Olejnik, Stephen. Treatment of missing data at the second level of hierarchical linear models. Educational and Psychological Measurement.63, (2), 204-238.2003.
    • ID: 10.1177/0013164402250987 (DOI)
  • Kuhn, Peter, Weinberger, Catherine. Leadership Skills and Wages. University of California at Santa Barbara Economics Working Paper Series: 2-02.Santa Barbara, CA: University of California at Santa Barbara. 2003.
    • ID: http://repositories.cdlib.org/cgi/viewcontent.cgi?article=1031&context=ucsbecon (URL)
  • Levesque, Karen. Public High School Graduates Who Participated in Vocational/Technical Education: 1982-1998. National Center for Education Statistics, NCES-2003-024.Washington, DC: United States Department of Education, National Center for Education Statistics. 2003.
    • ID: http://www.eric.ed.gov:80/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/1b/65/b8.pdf (URL)
  • Levesque, Karen. Trends in High School Vocational/Technical Coursetaking: 1982-1998. NCES 2003-025, Washington, DC: United States Department of Education, Office of Educational Research and Improvement. 2003.
    • ID: http://nces.ed.gov/pubs2003/2003025.pdf (URL)
  • Melguizo, Tatiana. What Types of Colleges Were Doing a Better Job Graduating Minorities in the 1980s and 1990s?. Dissertation, Stanford University. 2003.
  • Thompson, Jennifer S.. The effect of single-sex secondary schooling on women's choice of college major. Sociological Perspectives.46, (2), 257-278.2003.
    • ID: 10.1525/sop.2003.46.2.257 (DOI)
  • Thoreson, Amy. Trends in African-American-White Differences in Academic Achievement and Post-High School Education. Dissertation, University of Chicago. 2003.
  • Wirt, John, Livingston, Andrea. The Condition of Education 2003 in Brief. NCES 2003-068, Washington, DC: United States Department of Education, Office of Educational Research and Improvement. 2003.
    • ID: http://nces.ed.gov/pubs2003/2003068.pdf (URL)
  • Xie, Yu, Raymo, James M., Goyette, Kimberly, Thornton, Arland. Economic potential and entry into marriage and cohabitation. Demography.40, (2), 351 -2003.
    • ID: 10.1353/dem.2003.0019 (DOI)
  • Beattie, Irenee R.. Are all 'adolescent econometricians' created equal? Racial, class, and gender differences in college enrollment. Sociology of Education.75, (1), 19-43.2002.
    • ID: http://www.jstor.org/stable/3090252 (URL)
  • DesJardins, Stephen L., McCall, Brian P., Ahlburg, Dennis A., Moye, Melinda J.. Adding a timing light to the 'tool box'. Research in Higher Education.43, (1), 83-114.2002.
    • ID: 10.1023/A:1013022201296 (DOI)
  • Eide, Eric R., Showalter, Mark H., Sims, David P.. The effects of secondary school quality on the distribution of earnings. Contemporary Economic Policy.20, (2), 160-170.2002.
    • ID: 10.1093/cep/20.2.160 (DOI)
  • Ganderton, Philip T., Santos, Richard, Seitz, Patricia. Employment patterns of Hispanic high school graduates without college experience. Social Science Journal.39, (2), 301-307.2002.
    • ID: 10.1016/S0362-3319(02)00171-4 (DOI)
  • Ingels, Steven J.. Longitudinal Studies of Youth: Recent American Experience. International Seminar of the Korea Institute for Youth Development.Seoul, Korea. 2002.
  • Karen, David. Changes in access to higher education in the United States: 1980-1992. Sociology of Education.75, (3), 191-210.2002.
    • ID: http://www.jstor.org/stable/3090265 (URL)
  • Lucas, Samuel R., Berends, Mark. Sociodemographic diversity, correlated achievement, and de facto tracking. Sociology of Education.75, (4), 328-348.2002.
    • ID: http://www.jstor.org/stable/3090282 (URL)
  • Mahaffy, Kimberly A., Ward, Sally K.. The gendering of adolescents' childbearing and educational plans: Reciprocal effects and the influence of social context. Sex Roles.46, (11/12), 403-417.2002.
    • ID: 10.1023/A:1020413630553 (DOI)
  • Sahin, Aysegul. The incentive effects of social policies on education and labor markets. Dissertation, University of Rochester. 2002.
  • Snyder, Thomas D., Hoffman, Charlene M.. Digest of Education Statistics 2001. NCES 2002-130, Washington, DC: United States Department of Education, Office of Educational Research and Improvement. 2002.
    • ID: http://nces.ed.gov/pubs2002/2002130.pdf (URL)
  • Ver Ploeg, Michele. Children from disrupted families as adults: Family structure, college attendance and college completion. Economics of Education Review.21, (2), 171-184.2002.
    • ID: 10.1016/S0272-7757(00)00050-9 (DOI)
  • Ackerman, Deena. Do the Math: High School Mathematics Courses and the Earnings of High School Graduates. Dissertation, University of Wisconsin-Madison. 2001.
  • Cabrera, Alberto A., Burkham, Kurt R., La Nasa, Steven, M.. On the right path: The higher education study of one generation. Annual Meeting of the Association for Institutional Research.Long Beach, CA. 2001.
  • Cheslock, John J., Hilmer, Michael J.. How College Enrollment Strategies Affect Student Labor Market Success. . 2001.
    • ID: http://www.eric.ed.gov:80/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/1b/8c/32.pdf (URL)
  • Deluca, Stefanie, Rosenbaum, James E.. Individual agency and the life course: Do low-SES students get less long-term payoff for their school efforts?. Sociological Focus.34, (4), 357-376.2001.
  • Edie, Eric R., Showalter, Mark H.. The effect of grade retention on educational and labor market outcomes. Economics of Education Review.20, (6), 563-576.2001.
    • ID: 10.1016/S0272-7757(00)00041-8 (DOI)
  • Eide, Eric R., Ronan, Nick. Is participation in high school athletics an investment or a consumption good? Evidence from high school and beyond. Economics of Education Review.20, (5), 431-442.2001.
    • ID: 10.1016/S0272-7757(00)00033-9 (DOI)
  • Hall, Ronald E., Rowan, George T.. Hispanic-American males in higher education: A descriptive/qualitative analysis. Education.121, (3), 565-574.2001.
  • Hilmer, Michael J.. A comparison of alternative specifications of the college attendance equation with an extension to two-stage selectivity-correction models . Economics of Education Review.20, (3), 263-278.2001.
    • ID: 10.1016/S0272-7757(00)00024-8 (DOI)
  • Koretz, Daniel, Berends, Mark. Changes in High School Grading Standards in Mathematics, 1982-1992. Santa Monica, CA: RAND Corporation. 2001.
    • ID: http://www.rand.org/pubs/monograph_reports/2007/MR1445.pdf (URL)
  • Lucas, Samuel R.. Effectiveley maintained inequality: Education transitions, track mobility, and social background effects. American Journal of Sociology.106, (6), 1642 -2001.
    • ID: 10.1086/321300 (DOI)
  • Rivkin, Steven G.. Tiebout sorting, aggregation and the estimation of peer group effects. Economics of Education Review.20, (3), 201-209.2001.
    • ID: 10.1016/S0272-7757(00)00032-7 (DOI)
  • Rosenbaum, James. Beyond College for All: Career Paths for the Forgotten Half. New York, NY: Russell Sage. 2001.
  • Simpson, Jacqueline C.. Segregated by subject: Racial differences in the factors influencing academic major between European Americans, Asian Americans, and African, Hispanic, and Native Americans. Journal of Higher Education.72, (1), 63 -2001.
    • ID: http://www.jstor.org/stable/2649134 (URL)
  • Vegas, Emiliana, Murnane, Richard J., Willett, John B.. From high school to teaching: Many steps, who makes it. Teachers College Record.103, (3), 427-449.2001.
    • ID: 10.1111/0161-4681.00121 (DOI)
  • Zucker, Brian, Dawson, Royal, Carroll, C. Dennis. Credits and Attainment: Returns to Postsecondary Education Ten Years After High School, Statistical Analysis Report. Postsecondary Education Descriptive Analysis Reports.NCES 2001-168, Washington, DC: United States Department of Education, Office of Educational Research and Improvement. 2001.
    • ID: http://nces.ed.gov/pubs2001/2001168.pdf (URL)
  • Adelman, Clifford. More than 13 Ways of Looking at Degree Attainment. Trenton, NJ: New Jersey Council of County Colleges. 2000.
    • ID: http://eric.ed.gov:80/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/19/27/6a.pdf (URL)
  • Bernal, Elena M., Cabrera, Alberto F., Terenzini, Patrick T.. The Relationship between Race and Socioeconomic Status (SES): Implications for Institutional Research and Admissions Policies. Annual Forum of the Association for Institutional Research.Cincinnati, OH. 2000.
  • Hilmer, Michael J.. Does the return to university quality differ for transfer students and direct attendees?. Economics of Education Review.19, (1), 47-61.2000.
    • ID: 10.1016/S0272-7757(99)00021-7 (DOI)
  • Hurst, David, Hudson, Lisa. Changes in High School Vocational Coursetaking in a Larger Perspective. NCES 2001-026, Washington, DC: United States Department of Education, Office of Educational Research and Improvement. 2000.
    • ID: http://nces.ed.gov/pubs2001/2001026.pdf (URL)
  • Levesque, Karen, Lauen, Doug, Teitelbaum, Peter, Alt, Martha, Librera, Sally. Vocational Education in the United States: Toward the Year 2000. NCES 2000-029, Washington, DC: United States Department of Education, Office of Educational Research and Improvement. 2000.
    • ID: http://nces.ed.gov/pubs2000/2000029.pdf (URL)
  • Paik, Haejung. Television Viewing and High School Mathematics Achievement: A Neural Network Analysis. Quality and Quantity.34, (1), 1-15.2000.
    • ID: 10.1023/A:1004795407624 (DOI)
  • Rivkin, Steven G.. School desegregation, academic attainment, and earnings. Journal of Human Resources.35, (2), 333-346.2000.
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  • White, Michael J.. Generation status, social capital, and the routes out of high school. Sociological Forum.15, (4), 671-691.2000.
    • ID: 10.1023/A:1007515100190 (DOI)
  • Adelman, Clifford. Answers in the Tool Box. Academic Intensity, Attendance Patterns, and Bachelor's Degree Attainment. PLLI-1999-8021, Washington, DC: National Institute on Postsecondary Education, Libraries, and Lifelong Learning. 1999.
  • Adelman, Clifford. The New College Course Map and Transcript Files: Changes in Course-Taking and Achievement, 1972-1993. Second Edition. Washington, DC: National Institute on Postsecondary Education, Libraries, and Lifelong Learning. 1999.
  • Baker, David P., Riordan, Cornelius. It's not about the failure of Catholic schools: It's about demographic transformations. Phi Delta Kappan.80, (6), 462-463.1999.
  • Brewer, Dominic J., Eide, Eric R., Ehrenberg, Ronald G.. Does It Pay to Attend an Elite Private College? Cross-Cohort Evidence on the Effects of College Type on Earnings. Journal of Human Resources.34, (1), 104-123.1999.
    • ID: http://www.jstor.org/stable/146304 (URL)
  • Hedges, Larry V., Nowell, Amy. Changes in the black-white gap in achievement test scores. Sociology of Education.72, (2), 111-135.1999.
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    • ID: http://nces.ed.gov/pubs2000/2000022.pdf (URL)
  • Lillard, Dean, Gerner, Jennifer. Getting to the Ivy League: How family composition affects college choice. Journal of Higher Education.70, (6), 706-730.1999.
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  • Mahaffy, Kimberly Autumn. When does gender matter? Explaining the transition to adulthood as a gendered process. Dissertation, University of New Hampshire. 1999.
  • McCormick, Alexander C., Carroll, C. Dennis. Credit Production and Progress Toward the Bachelor's Degree: An Analysis of Postsecondary Transcripts for Beginning Students at 4-Year Institutions, Statistical Analysis Report. Postsecondary Education Descriptive Analysis Reports.NCES 1999-179, Washington, DC: United States Department of Education, Office of Educational Research and Improvement. 1999.
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  • Anonymous. The user-friendly terrain: Defining the market taxonomy for two-year institutions. Change.30, (1), 57-60.1998.
  • Arum, Richard. Invested dollars or diverted dreams: The effect of resources on vocational students' educational outcomes. Sociology of Education.71, (2), 130-151.1998.
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  • Eschbach, Karl, Gomez, Christina. Choosing Hispanic identity: Ethnic identity switching among respondents to High School and Beyond. Social Science Quarterly.79, (1), 74-90.1998.
  • Faith, M.S., Manibay, E., Kravitz, M., Griffith, J., Allison, David B.. Relative body weight and self-esteem among African Americans in four nationally representative samples. Obesity Research.6, (6), 430-437.1998.
  • Kerckhoff, Alan C., Bell, Lorraine. Hidden capital: Vocational credentials and attainment in the United States. Sociology of Education.71, (2), 152-174.1998.
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  • Koball, Heather Lynn. The Effect of Employment and Gender Role Attitudes on Men's Marriage Timing. Dissertation, Brown University. 1998.
  • Nowell, Amy, Hedges, Larry V.. Trends in gender differences in academic achievement from 1960 to 1994: An analysis of differences in mean, variance, and extreme scores. Sex Roles.39, (1/2), 21-43.1998.
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  • Sandefur, Gary D.. Race, ethnicity, families, and education. Resiliency in Native American and Immigrant Families.Thousand Oaks: Sage. 1998.
  • Anonymous. In search of strategic perspective: A tool for mapping the market in postsecondary education. Change.29, (6), 23-38.1997.
  • Blome, Wendy Whiting. What happens to foster kids: Educational experiences of a random sample of foster care youth and a matched group of non-foster care youth. Child and Adolescent Social Work Journal.14, (1), 41-53.1997.
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Update Metadata: 2015-08-05 | Issue Number: 3 | Registration Date: 2015-06-30

United States Department of Education. National Center for Education Statistics (1984): High School and Beyond, 1980: Sophomore and Senior Cohort First Follow-Up (1982). Version 1. High School and Beyond (HS&B) Series. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR08297.v1