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Collaborative Multi-racial Post-election Survey (CMPS), 2012 (ICPSR 37132)

Version Date: Nov 12, 2020 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Lorrie Frasure-Yokley, University of California-Los Angeles. Department of Political Science; Gabriel Sanchez, University of New Mexico; Ali Valenzuela, Princeton University; Ange-Marie Hancock, University of Southern California

https://doi.org/10.3886/ICPSR37132.v1

Version V1 ()

  • V2 [2020-11-13]
  • V1 [2020-11-12] unpublished

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Additional information about this collection can be found in Version History.

2020-11-12 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:

  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.

The 2012 Collaborative Multi-racial Post-election Survey (CMPS) was a national survey of registered voters from three groups: White non-Hispanic adults, Black non-Hispanic adults, and English and Spanish speaking Hispanic adults. The survey was conducted between November 16, 2012 and November 26, 2012 in both English and Spanish, and examined individual's experiences with voting and attitudes about social and economic issues prominent in the 2012 election.

The 2012 CMPS included 37 items dealing with sociopolitical attitudes, mobilization political activity, advertising exposure and neighborhood context as well as three embedded survey experiments. Additionally, there were 15 items that capture demographic information, including: age, ancestry, birthplace, education, ethnicity, Latin American racial descriptors, skin color, marital status, household size, religiosity, gender, sexual orientation, internet usage, and residential context. In addition to the survey and demographic data, the 2012 CMPS also included shifted latitude and longitude values for each respondent. This allowed for more nuanced modeling with regard to contextual variables at the tract, city, county, Metropolitan Statistical Area (MSA) level, and Congressional district. Geographic information below state level is only available within the restricted-use data file for this collection.

Frasure-Yokley, Lorrie, Sanchez, Gabriel, Valenzuela, Ali, and Hancock, Ange-Marie. Collaborative Multi-racial Post-election Survey (CMPS), 2012. Inter-university Consortium for Political and Social Research [distributor], 2020-11-12. https://doi.org/10.3886/ICPSR37132.v1

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This data collection may not be used for any purpose other than statistical reporting and analysis. Use of these data to learn the identity of any person or establishment is prohibited. To obtain the restricted file, researchers must agree to the terms and conditions of a Restricted Data Use Agreement.

Inter-university Consortium for Political and Social Research
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2012
2012-11-16 -- 2012-11-26
  1. For additional information on the Collaborative Multi-racial Post-election Survey, please visit the CMPS website.

  2. This collection is related to the Collaborative Multi-racial Post-election Survey (CMPS), 2008, ICPSR 35163.

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The study was conducted by the GfK Group. Pretests of the survey were conducted between November 8, 2012 and November 19, 2012 in both English and Spanish. A Stata dataset containing the pretest interviews was reviewed prior to the main sample launch. Because changes were made to the main survey as a result of the pretest, the pretest interviews were not included as part of the main survey dataset.

Households were provided with access to the Internet and a netbook computer, if needed. Respondents were considered qualified if they did not refuse more than 4 of the first 7 questions in the survey. Those who refused 4 or more of the first 7 questions were terminated from the survey. The qualification rate was 99.8%.

The 2012 Collaborative Multi-racial Post-election (CMPS) used probability-based web panels designed to be representative of the United States instead of "opt-in" panels that included only individuals with Internet access who volunteer themselves for research. As a result, panel members came from listed and unlisted telephone numbers, telephone and non-telephone households, and cell phone only households, as well as households with and without Internet access, which created a representative sample. Panel members were recruited through national random samples (both by telephone and mail).

To reduce the effects of any non-response and non-coverage bias in the overall panel membership, a post-stratification adjustment was applied based on demographic distributions from the most recent data from the Current Population Survey (CPS). An additional Spanish language adjustment was used based on the 2010 Pew Hispanic Center Survey (the most recent available published data at the time). Language usage adjustments allowed for the correct proportional fitting of Spanish-speaking members relative to other English-speaking Hispanic and non-Hispanic panel members within Census regions.

Cross-sectional

The Collaborative Multi-racial Post-election Survey (CMPS) 2012 is comprised of 2,616 registered voters who self-identified as Black (n=804), Latino (n=934), or White (n=878).

Individual

The following geographic variables are only available in the restricted-use data file for this collection: CITY (City), FIPS (Federal Information Processing Standards (FIPS) code), MASKED_LAT (Masked latitude), MASKED_LONG (Masked longitude), CBSAMET (Core Based Metropolitan Statistical Area), CD112 (112th congressional district), and CD113 (113th congressional district).

The median completion time of the survey was 20 minutes and the completion rate was 56.3%

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2020-11-12

2020-11-12 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:

  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.
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Post-stratification weights WEIGHT1 and WEIGHT2 are available to adjust for survey non-response as well as non-coverage or under- and over-sampling resulting from the study-specific sample design, and should be used in any analyses.

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