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ICPSR 4537 | Monitoring the Future: A Continuing Study of American Youth (8th- and 10th-Grade Surveys), 2005Lloyd D. Johnston Jerald G. Bachman Patrick M. O'Malley John E. Schulenberg | ||
2006-10-31 | |||
Inter-university Consortium for | |||
Terms of Use | |
Bibliographic Citation: | Publications based on ICPSR data collections should acknowledge those sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: Johnston, Lloyd D., Jerald G. Bachman, Patrick M. O'Malley, and John E. Schulenberg. MONITORING THE FUTURE: A CONTINUING STUDY OF AMERICAN YOUTH (8TH- AND 10TH-GRADE SURVEYS), 2005 [Computer file]. Conducted by University of Michigan, Institute for Social Research, Survey Research Center. ICPSR04537-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [producer and distributor], 2006-10-31. doi:10.3886/ICPSR04537 |
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Summary | |
General Study Overview | |
Title: | Monitoring the Future: A Continuing Study of American Youth (8th- and 10th-Grade Surveys), 2005 |
Principal Investigator(s): | Lloyd D. Johnston Jerald G. Bachman Patrick M. O'Malley John E. Schulenberg , University of Michigan. Institute for Social Research. Survey Research Center |
ICPSR Study No: | 4537 |
United States Department of Health and Human Services. National Institute on Drug Abuse | |
DA-01411 | |
Methods | |
Enrolled 8th- and 10th-grade students in the contiguous United States. | |
on-site questionnaire | |
A multistage area probability sample design was used involving three selection stages: (1) geographic areas or primary sampling units (PSUs), (2) schools (or linked groups of schools) within PSUs, and (3) students within sampled schools. Of the 72 PSUs, 8 were selected with certainty, 10 were selected with a probability of .50, and the remainder were selected with probability proportionate to the size of the 8th- or 10th- grade class. In schools with more than 350 students in the grade, a random sample of students or classes was drawn. In schools with less than 350 students in a grade, all students were asked to participate. Each school was asked to participate for two years so that each year one-half of the sample would be replaced. Schools refusing participation were replaced with similar schools in terms of geographic location, size, and type of school (e.g., public, private/Catholic, private/non-Catholic). For the 8th-grade survey, schools with less than 20 8th graders were excluded from the sample. For the 10th-grade survey, schools with less than 25 10th graders were excluded. The participation rate among schools has been between 66 and 80 percent since the inception of the study. | |
The student response rates for the 2005 8th- and 10th-grade surveys were 90 percent and 88 percent, respectively. | |
2005, Spring | |
Summary of Contents | |
individual | |
CONCHK.PR/ UNDOCCHK.PR/ MDATA.ICPSR/ REFORM.DATA/ UNDOCCHK.ICPSR/ CDBK.ICPSR/ DDEF.ICPSR/ FREQ.ICPSR/ REFORM.DOC/ RECODE | |
SAS SPSS STATA | |
(1) For 2005, two of the questionnaire forms, Form 1 and Form 3, have a new version of the race question. Previously, the racial categories were Black and White. The new version includes Black, White, and Hispanic. (2) To protect the anonymity of respondents, all variables that could be used to identify individuals have been collapsed or recoded in the public use files. These modifications should not affect analytic uses of the public use files. (3) Variables omitted from the Western region questionnaires are noted in each codebook. (4) A user guide is provided with the study documentation. It contains two year-to- year cross-time question indices for the MTF 8th- and 10th-grade surveys. The first is sorted by subject area and the second is sorted by question location. | |
Logical Record Length with SAS, SPSS, and Stata setup files, SAS transport (XPORT) file, SPSS portable file, and Stata system file | |
Datasets
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