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|a 10.3886/ICPSR36924.v2
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|a Miech, Richard A.
|e VerfasserIn
|4 aut
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|a Monitoring the Future: A Continuing Study of American Youth, 1993 (Restricted-Use)
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|a [Erscheinungsort nicht ermittelbar]
|b [Verlag nicht ermittelbar]
|c 2017
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|a This data collection is part of the Monitoring the Future series that explores changes in important values, behaviors, and lifestyle orientations of contemporary American youth in eighth, tenth, and twelfth grades. The collection provides two datasets for each year since 1976 that are accessible only through the ICPSR Virtual Data Enclave VDE) and include original variables, including the unaltered weight variable, that in the public-use data were altered or omitted: one dataset without State, County, and Zip Code and one dataset including State, County, and Zip Code. <strong>Use of the geographic identifiers such as state, county, or zip code is limited and researchers interested in these variables are encouraged to read <a href="https://www.icpsr.umich.edu/icpsrweb/content/NAHDAP/faqs/mtf-restricted-version-faq.html"> FAQs: About MTF Restricted-Use Geographic and Other Variables.</a></strong> Also included as part of each annual collection is a zip archive of the Monitoring the Future public-use data and documentation for each respective year. The basic research design used by the Monitoring the Future study involves annual data collections from eighth, tenth, and twelfth graders throughout the coterminous United States during the spring of each year. The 8th/10th grade surveys used four different questionnaire forms (and only two forms from 1991-1996) rather than the six used with seniors. Identical forms are used for both eighth and tenth grades, and for the most part, questionnaire content is drawn from the twelfth-grade questionnaires. Thus, key demographic variables and measures of drug use and related attitudes and beliefs are generally identical for all three grades. However, many fewer questions about lifestyles and values are included in the 8th/10th grade forms. Drugs covered by this survey include tobacco, smokeless tobacco, alcohol, marijuana, hashish, prescription medications, over-the-counter medications, inhalants, steroids, LSD, hallucinogens, amphetamines (stimulants), Ritalin (methylphenidate), Quaaludes (methaqualone), barbiturates (tranquilizers), cocaine, crack cocaine, ecstasy, methamphetamine, heroin, and GHB (gamma hydroxy butyrate). Other topics include attitudes toward religion, changing roles for women, educational aspirations, self-esteem, exposure to drug education, and violence and crime (both in and out of school).
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| 540 |
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|a ICPSR Terms of Use
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| 650 |
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4 |
|a Alcohol
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| 650 |
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4 |
|a Attitudes
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| 650 |
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|a Crime
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| 650 |
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|a demographic characteristics
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| 650 |
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|a drug education
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| 650 |
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|a Drug use
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| 650 |
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4 |
|a e-cigarettes
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| 650 |
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4 |
|a educational objectives
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| 650 |
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4 |
|a family background
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| 650 |
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4 |
|a Gender Roles
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| 650 |
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4 |
|a High school students
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| 650 |
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4 |
|a Human Behavior
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| 650 |
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4 |
|a Lifestyles
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| 650 |
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4 |
|a Prescription Drugs
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| 650 |
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4 |
|a Religious attitudes
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| 650 |
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4 |
|a self esteem
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| 650 |
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4 |
|a Social Change
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| 650 |
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4 |
|a Tobacco use
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| 650 |
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4 |
|a Values
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| 650 |
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4 |
|a Youths
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| 655 |
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7 |
|a Forschungsdaten
|0 (DE-588)1098579690
|0 (DE-627)857755366
|0 (DE-576)469182156
|2 gnd-content
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|a Bachman, Jerald G.
|e MitwirkendeR
|4 ctb
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| 700 |
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|a Johnston, Lloyd D.
|e MitwirkendeR
|4 ctb
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| 700 |
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|a O'Malley, Patrick M.
|e MitwirkendeR
|4 ctb
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|a Patrick, Megan E.
|e MitwirkendeR
|4 ctb
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| 700 |
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|a Schulenberg, John E.
|e MitwirkendeR
|4 ctb
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| 787 |
0 |
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|i Forschungsdaten zu
|a Mehus, Christopher J.
|t 35-year-old parents do not approve of 17-year-olds' cigarette, marijuana, or alcohol use: U.S. national data 1993-2018
|d 2022
|w (DE-627)1912447533
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Keyes, Katherine M.
|t Birth cohorts analysis of adolescent cigarette smoking and subsequent marijuana and cocaine use
|d 2016
|w (DE-627)1912468336
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Kreski, Noah T.
|t Changing adolescent activity patterns and the correlation of self-esteem and externalizing mental health symptoms across time: Results from the USA from 1991 through 2020
|d 2023
|w (DE-627)1912475308
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Keyes, K.M.
|t Depressive symptoms in adolescence and young adulthood
|d 2024
|w (DE-627)1912509229
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Grossman, Elyse R.
|t Do juvenile curfew laws reduce underage drinking?
|d 2016
|w (DE-627)1912520257
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Dills, Angela K.
|t The Effects of Marijuana Liberalizations: Evidence from Monitoring the Future
|d National Bureau of Economic Research, 2017
|w (DE-627)1912532034
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Carpenter, Christopher, 1976 -
|t Effects of state education requirements for substance use prevention
|d 2019
|w (DE-627)1912533189
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Terry-McElrath, Yvonne
|t The end of convergence in developmental patterns of frequent marijuana use from ages 18 to 30: An analysis of cohort change from 1976-2016
|d 2018
|w (DE-627)1912535998
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Keyes, Katherine M.
|t The great sleep recession: Changes in sleep duration among US adolescents, 1991-2012
|d 2015
|w (DE-627)1912569078
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Kuettel, Benjamin Thomas
|t Increasing liberalization: A time series analysis of the public's mood toward drugs
|d 2024
|w (DE-627)1912588684
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Miech, Richard A.
|t The influence of college attendance on risk for marijuana initiation in the United States: 1977 to 2015
|d 2017
|w (DE-627)1912590379
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Helms, Sara E.
|t Involuntary volunteering: The impact of mandated service in public schools
|d 2013
|w (DE-627)1912598264
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a McCabe, Sean Esteban
|t Is early onset of nonmedical prescription stimulant use associated with cocaine use during adolescence? Results from a national study
|d 2024
|w (DE-627)191259871X
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Jang, Bohyun Joy
|t Marital status as a partial mediator of the associations between young adult substance use and subsequent substance use disorder: Application of causal inference methods
|d 2018
|w (DE-627)1912616556
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Campbell, David E., 1971 -
|t Participation in Context: How Communities and Schools Shape Civic Engagement
|d Harvard University, 2002
|w (DE-627)1912645262
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Martz, Meghan E.
|t Passing on pot: High school seniors' reasons for not using marijuana as predictors of future use
|d 2018
|w (DE-627)1912645653
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Miech, Richard
|t Prevalence and attitudes regarding marijuana use among adolescents over the past decade
|d 2017
|w (DE-627)1912660989
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Tauras, John A.
|t Price, Clean Indoor Air, and Cigarette Smoking: Evidence from the Longitudinal Data for Young Adults
|d National Bureau of Economic Research (NBER), 1999
|w (DE-627)1912662752
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a McCabe, Sean Esteban
|t A prospective study of nonmedical use of prescription opioids during adolescence and subsequent substance use disorder symptoms in early midlife
|d 2019
|w (DE-627)1912668378
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Coley, Rebekah Levine
|t Secular trends in adolescent depressive symptoms: Growing disparities between advantaged and disadvantaged schools
|d 2019
|w (DE-627)1912697521
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Terry-McElrath, Yvonne
|t Simultaneous alcohol and marijuana use among young adult drinkers: Age-specific changes in prevalence from 1977 to 2016
|d 2018
|w (DE-627)1912704072
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