Detroit Metro Area Communities Study (DMACS) Wave 16, Michigan, 2023 (ICPSR 38892)

Version Date: Nov 14, 2023

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Principal Investigator(s):
Elisabeth Gerber, Gerald R. Ford School of Public Policy, University of Michigan; Jeffrey Morenoff, Gerald R. Ford School of Public Policy, Population Studies Center, Survey Research Center, University of Michigan; Mara Ostfeld, Gerald R. Ford School of Public Policy, University of Michigan

Series:

https://doi.org/10.3886/ICPSR38892.v1

Version V1

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Alternate Title

DMACS

Summary

The Detroit Metro Area Communities Study (DMACS) is a panel survey of Detroit residents aged 18 and older. The original panel of respondents was drawn from an address-based probability sample of all occupied Detroit households in 2016 and has since been refreshed through additional address-based sampling annually. The 16th survey wave, collected between January 26, 2023 and March 23, 2023, invited 3,202 previously-enrolled panelists to participate in a self-administered or interviewer-administered survey. Topics included: perceptions of neighborhood; disability; household finances; employment; COVID-19 vaccination; trust and sources of information; employment; Awareness of/Involvement in Vacant Lot Reuse; and attitudes towards reparations.

Citation

Gerber, Elisabeth, Morenoff, Jeffrey, and Ostfeld, Mara. Detroit Metro Area Communities Study (DMACS) Wave 16, Michigan, 2023. Inter-university Consortium for Political and Social Research [distributor], 2023-11-14. https://doi.org/10.3886/ICPSR38892.v1

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Funding

United States Department of Health and Human Services. National Institutes of Health (1OT2HL156812), University of Michigan. Poverty Solutions, Ballmer Group

Subject Terms

Geographic Coverage

Smallest Geographic Unit

Census Block

Restrictions

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 protect respondent privacy, some of the data files in this collection are restricted from general dissemination. To obtain these restricted files researchers must agree to the terms and conditions of a Restricted Data Use Agreement.

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2023-01-26 -- 2023-03-23

Date of Collection

2023-01-26 -- 2023-03-23

Data Collection Notes

  1. For more information on the Detroit Metro Area Communities Study, please visit the DMACS website.
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Study Purpose

The Detroit Metro Area Communities Study (DMACS) is a University of Michigan initiative designed to regularly survey a broad, representative group of Detroit residents about their communities, including their expectations, perceptions, priorities, and aspirations. Since 2016, the DMACS survey has provided valuable insights on the perceptions and attitudes of Detroit residents.

Study Design

The original panel of respondents was drawn from an address-based probability sample of all occupied Detroit households in 2016 and has since been refreshed through additional address-based sampling annually. Surveys were self-administered online or were interviewer-administered via telephone. All respondents who completed the survey received an incentive via mail from the University of Michigan. The data collection period for this survey was January 26, 2023 to March 29, 2023. On January 26, as part of a soft launch, invitations were sent by email and text to 100 established panelists who had completed previous DMACS surveys early in the field period. All remaining established panelists who had previously provided email or texting contact information were sent an invitation via email and text as part of a full launch on January 27, 2023.

The questionnaire was developed by the DMACS team. The instrument was programmed and tested by DMACS staff members on mobile and desktop devices to identify issues with question language and ensure the accuracy of skip-pattern logic, randomizations, and other programming issues. The questionnaire was programmed in Qualtrics by DMACS staff and translated into Spanish by CETRA Language Solutions. Respondents were able to select between taking the survey in English or Spanish.

Sample

The target population for the survey were Detroiters ages 18 and older. Wave 16 is based on a stratified random sample. Researchers invited 3,202 previously enrolled panelists to participate in a self administered online or interviewer-administered telephone survey. For Wave 16 households from census block groups whose populations were at least 50% Hispanic were oversampled. A total of 1,911 Detroit residents completed the survey.

Time Method

Longitudinal: Panel

Universe

Adults over the age of 18 who reside in the City of Detroit.

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

Response Rates

A total of 1,911 Detroit residents completed the survey, yielding an overall response rate of 61% (using AAPOR Response Rate 1).

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Original Release Date

2023-11-14

Version History

2023-11-14 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 recodes and/or calculated derived variables.

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Weight

The DMACS Wave 16 data were weighted to reflect the demographics of the City of Detroit. This data includes a weighting variable, W16_WEIGHTS, which should be used when conducting analysis. For more weighting information, please see the P.I. Panel and Methodology documents.

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Notes

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.