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Curated

Differences in the Validity of Self-Reported Drug Use Across Five Factors in Indianapolis, Fort Lauderdale, Phoenix, and Dallas, 1994 (ICPSR 2706)

Released/updated on: 2000-09-11

Geographic coverage: Indiana, United States, Texas, Fort Lauderdale, Phoenix, Florida, Dallas, Arizona, Indianapolis

This study investigated the accuracy of self-reported drug use in three ways. First, the researchers examined differences in the accuracy of self-reported drug use across five factors: gender, race, age, type of drug, and offense seriousness. Second, an attempt was made to determine the specific sources of inaccurate self-reports in terms of differences in underreporting and overreporting. Third, the researchers sought to explain differences in underreporting and overreporting in terms of true differences or differences in opportunity to underreport or overreport. This study used data collected in 1994 as part of the Drug Use Forecasting (DUF) Program [DRUG USE FORECASTING IN 24 CITIES IN THE UNITED STATES, 1987-1997 (ICPSR 9477)]. The DUF drug testing and measurement methodology allows the accuracy of self-reported drug use to be checked with a biological criterion, namely urine tests. The sample for this study consisted of 4,752 white and Black adults from Indianapolis, Ft. Lauderdale, Phoenix, and Dallas. The five exogenous measures included in this study were type of drug (marijuana vs. crack/cocaine), age (18 through 30 vs. 31 or over), offense seriousness (misdemeanor vs. felony), race (Black vs. white), and gender (male vs. female). The endogenous measures were accuracy (self-report and drug test both positive or both negative vs. otherwise), underreporting (self-report negative but drug test positive vs. otherwise), and overreporting (self-report positive but drug test negative vs. otherwise). Variables include result of marijuana urine test, result of cocaine/crack urine test, marijuana self-report, cocaine/crack self-report, age group, sex, race, offense category, and ethnic/gender group.

Curated

Restricted

Item Response Theory Analysis of National Intimate Partner And Sexual Violence Survey Measures, [United States], 2010 (ICPSR 37040)

Released/updated on: 2018-07-31

Geographic coverage: United States

Time period: 2010-01-22--2010-12-31

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This is a secondary data analysis of the 2010 National Intimate Partner and Sexual Violence Survey (ICPSR 36140). The National Intimate Partner and Sexual Violence Survey (NISVS) includes lifetime and past-year measures of physical violence by intimate partners and sexual violence. This secondary data analysis focused on eight measures of physical violence by intimate partners and eight measures of sexual violence.

The collection contains 2 SPSS data files: lifetime-data.sav (n=16,507; 22 variables), which measures occurrences of physical and sexual violence over the respondent's lifetime, and pastyr-data.sav (n=4,150; 22 variables), which measure occurrences of physical and sexual violence over the past year. A syntax file is included in the user guide.

Curated

Violence Against American Indian and Alaska Native Women and Men: 2010 Findings from the National Intimate Partner and Sexual Violence Survey (NISVS) (ICPSR 36140)

Released/updated on: 2016-06-09

Geographic coverage: United States

Time period: 2010-01-22--2010-12-31

This study examines the prevalence of violence against American Indian and Alaska Native women and men, using a large nationally representative sample from the National Intimate Partner and Sexual Violence Survey (NISVS). More specifically, it provides estimates of sexual violence, physical violence by intimate partners, stalking, and psychological aggression by intimate partners. It also provides estimates of interracial and intraracial victimizations and briefly examines the impact of violence.

This study is based on two of the NISVS samples that were included in the 2010 data collection effort --the general population sample and the American Indian and Alaska Native oversample. This American Indian and Alaska Native oversample was collected from geographical areas (telephone exchanges) where at least 50% of the population identifies themselves as American Indian or Alaska Native.

To increase the generalizability of the American Indian and Alaska Native sample (and to add interviews conducted by cell phone), a new "combined" sample was created by including (a) all respondents in the American Indian and Alaska Native oversample and (b) 677 respondents in the general population sample who identified themselves as American Indian or Alaska Native. By combining these samples, a new sample was obtained that is large enough to produce reliable and valid estimates for all women and men in the United States who identify themselves as American Indian or Alaska Native. For a more exact discussion of the sample, see the NIJ Technical Report.

The combined sample includes 2,473 women and 1,505 men who identified themselves as American Indian or Alaska Native. Results from the combined American Indian and Alaska Native sample were compared to results from the sample of respondents in the general population sample who identified themselves as non-Hispanic White alone. The comparison sample includes 7,646 women and 6,050 men who identified themselves as non-Hispanic White alone.

There are 5 data files included with this study. Dataset 1 (General Population Raw Data) contains 18,957 cases and 26,114 variables. Dataset 2 (American Indian and Alaska Native (AIAN) Oversample Raw Data) contains 3,612 cases and 22,932 variables. Dataset 3 (Respondent-level Data) contains 21,378 cases and 493 variables. Dataset 4 (Perpetrator-level Data) contains 51,535 cases and 446 variables. Dataset 5 (Weights File) contains 3,978 cases and 9 variables.