Latino National Survey (LNS)--New England, 2006 (ICPSR 24502)
Principal Investigator(s): Hu-Dehart, Evelyn, Brown University; Garcia, Matthew, Brown University; Garcia Coll, Cynthia, Brown University; Itzigsohn, Jose, Brown University; Orr, Marion, Brown University; Affigne, Tony, Providence College; Elorza, Jorge, Roger Williams University. School of Law
The Latino National Survey (LNS)--New England is the New England extension of the LATINO NATIONAL SURVEY (LNS), 2006 (ICPSR 20862), which was conducted in 2005-2006. The Latino National Survey (LNS)--New England contains 1,200 completed interviews (unweighted) of self-identified Latino/Hispanic residents of the United States. The questionnaire is the same as that used in the original LNS. Interviewing began on November 17, 2005, and continued through August 4, 2006. The survey instrument contained approximately 165 distinct items ranging from demographic descriptions to political attitudes and policy preferences, as well as a variety of social indicators and experiences. All interviewers were bilingual, English and Spanish. Respondents were greeted in both languages and were immediately offered the opportunity to interview in either language. Interviewers also provided a consent script that allowed respondents to opt out of the survey. Demographic variables include age, ancestry, birthplace, education level, ethnicity, marital status, military service, number of people in the household, number of children under the age of 18 living in the household, political party affiliation, political ideology, religiosity, religious preference, race, and sex.
One or more files in this study are not available for download due to special restrictions ; consult the restrictions note to learn more. You can apply online for access to the data. A login is required to apply for access.
Public and restricted versions of the data are included in this collection. Due to the sensitive nature of the restricted data, users must complete an agreement for the use of confidential data, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research.
Hu-Dehart, Evelyn, Matthew Garcia, Cynthia Garcia Coll, Jose Itzigsohn, Marion Orr, Tony Affigne, and Jorge Elorza. Latino National Survey (LNS)--New England, 2006. ICPSR24502-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2015-07-17. http://doi.org/10.3886/ICPSR24502.v2
Persistent URL: http://doi.org/10.3886/ICPSR24502.v2
This study was funded by:
- Rhode Island Foundation
Scope of Study
Subject Terms: citizen participation, citizenship, community involvement, congressional elections, cultural diversity, cultural identity, cultural pluralism, cultural traditions, discrimination, education, educational opportunities, ethnic groups, ethnic identity, ethnicity, government performance, government services, Hispanic or Latino Americans, Hispanic or Latino origins, international relations, media use, minorities, political behavior, political ideologies, political participation, political parties, political partisanship, presidential elections, public approval, public opinion, public policy, public schools, race, race relations, state elections
Geographic Coverage: Connecticut, Massachusetts, Rhode Island, United States
Date of Collection:
Unit of Observation: individual
Universe: The universe of analysis contains the Hispanic population of Massachusetts, Rhode Island, and Connecticut.
Data Types: survey data
Data Collection Notes:
In addition to ICPSR Study 20862: LATINO NATIONAL SURVEY (LNS), 2006, this study is also related to ICPSR study 6841: LATINO NATIONAL POLITICAL SURVEY, 1989-1990. While these studies do not constitute a formal series, they are related by topic and principal investigator.
Much of the metadata for this study was pulled from the Latino National Survey (LNS), 2006 [ICPSR 20862].
Sample: The sample was stratified by geographic designation, meaning that each state sample was a valid, stand-alone representation of that state's Latino population. State sample sizes varied based in part on funders' recommendations, but all national figures reported were appropriately weighted such that the numbers were accurately representative of the universe covered by the study. The national margin of error was approximately plus or minus 1.05 percent. The smallest sample size for any unit was 400, yielding a margin of error of less than plus or minus 5 percent for each state. A number of states were stratified internally. All state-level results were computed using state-level weights such that they remained representative of the state population.
There are four weight variables in these data. Use of the correct weight depends on your analysis purpose. The variables are: WT_METRO, WT_STATE, WT_NATIO, and WT_NATIO_CALIB. The variable WT_NATIO_CALIB is a means-adjusted weight for doing national analysis.
wt_metro: Metro-level weight
wt_state: State-level weight
wt_natio_calib: Nation-level weight (calibrated to mean of 1 by dividing through by mean of New-England only sample)
wt_natio: Nation-level weight (original weight, as provided for entire LNS sample of New England and 18 other states)
Mode of Data Collection: computer-assisted telephone interview (CATI), telephone interview
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Performed consistency checks.
- Standardized missing values.
- Checked for undocumented or out-of-range codes.
Original ICPSR Release: 2009-06-04
- 2015-07-17 Four weight variables were added to these data. They are WT_METRO, WT_STATE, WT_NATIO, and WT_NATIO_CALIB. Part 1: Variable labels and value labels were updated to better match the LNS 2006 variables. The values for the variables RZIP were recoded to 99999 to minimize the risk of respondent identification. Part 2: Created restricted use version that includes the values of the variable RZIP.
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