Work Description

Title: Detroit Metro Area Communities Study (DMACS) Wave 20 - Initial Data Release Open Access Deposited

h
Attribute Value
Methodology
  • Overview: 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. Between June 18, 2024 and August 19, 2024, we invited 3,012 previously enrolled panelists and 4,000 invitations to a randomly selected address-based refreshment sample of Detroit households to participate in a self-administered online or interviewer-administered telephone survey. A total of 2,450 Detroit residents completed the survey, yielding an overall response rate of 36.7% (using AAPOR Response Rate 1); 69.8% for existing panelists and 10.0% for new panelists. For more details, please see the Methodology document.
Description
  • Survey topics included: Household Composition, Residence and Housing Status; Perceptions of Neighborhood; Neighborhood Blight; Social Connection, Social Isolation, Loneliness; Election; Employment; Crime, Violence, Safety & Violence Reduction Programs; Municipal Services and Democratic Values. This data file contains 2,450 Detroit residents' close-ended responses. The full dataset will be published on ICPSR.
Creator
Depositor
  • yucfan@umich.edu
Contact information
Discipline
Funding agency
  • Other Funding Agency
Other Funding agency
  • The Kresge Foundation

  • The Ballmer Group

  • City of Detroit
ORSP grant number
  • N035181; G023119; F073685
Keyword
Resource type
Last modified
  • 10/30/2024
Published
  • 10/30/2024
Language
DOI
  • https://doi.org/10.7302/pg9g-zm38
License
To Cite this Work:
Gerber, E. R., Morenoff, J. D., Ostfeld, M. C., Sand, S. L., Fan, Y. (2024). Detroit Metro Area Communities Study (DMACS) Wave 20 - Initial Data Release [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/pg9g-zm38

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Files (Count: 8; Size: 21.1 MB)

Date: 28 October, 2024

Dataset Title: Detroit Metro Area Communities Study (DMACS) Wave 20 - Initial Data Release

Dataset Creators: E.R. Gerber, J.D. Morenoff, M.C. Ostfeld, S. L. Sand, Y. Fan

Dataset Contact: Sharon Sand, slsand@umich.edu

Funding: G023119 (The Ballmer Group), N035181 (The Kresge Foundation), & F073685 (City of Detroit)

Methodology:
Between June 18, 2024 and August 19, 2024, we invited 3,012 previously enrolled panelists and 4,000 invitations to a randomly selected address-based refreshment sample of Detroit households to participate in a self-administered online or interviewer-administered telephone survey. A total of 2,450 Detroit residents completed the survey, yielding an overall response rate of 36.7% (using AAPOR Response Rate 1); 69.8% for existing panelists and 10.0% for new panelists. Please see the "DMACS Wave 20 Methodology" for more details.

Date Coverage: June 18,2024 - August 19, 2024.

Instrument and/or Software specifications: NA

Files contained here:
- DMACS Panel Description.pdf: Describe DMACS Panel Study.
- DMACS Wave 20 Methodology.pdf: Describe the specific methodology used in DMACS Wave 20 survey.
- DMACS_Wave_20_Questionnaire.pdf: Survey questions asked in DMACS Wave 20.
- DMACS_Wave_20_Toplines.pdf: Toplines report of the weighted closed-ended question results.
- DMACS Wave 20_data_DeepBlue.dta: Lightly-curated DMACS Wave 20 dataset with open-ended responses suppressed. Full dataset will be released on ICPSR.
- DMACS Wave 20_data_DeepBlue_codebook.xlsx: Corresponding codebook of DMACS Wave 20 dataset.
- DMACS_End_of_Survey_Info_EN+ES_2024_UPDATE.pdf: The consent form that was provided to all the respondents.

Use and Access:
This data set is made available under a Creative Commons Attribution 4.0 International (CC BY 4.0).

To Cite Data:
Gerber, E. R., Morenoff, J. D., Ostfeld, M. C., Sand, S. L., Fan, Y., Detroit Metro Area Communities Study (DMACS) Wave 20 [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/pg9g-zm38

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