Data collection and analysis
Modes of data collection
In-person (face-to-face interviews, intercept surveys, etc.)
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Data collection techniques that take place in person. This can take the form of one-on-one interviews.
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Past clients
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University of Michigan School of Public Health
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Urban Institute
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Michigan Department of Education
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National Institute of Health
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Center for Disease Control
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In-person focus groups
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Data collection that takes place in person with a group of 8-12 participants.
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Past clients
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City of Detroit Planning Commission
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Michigan Department of Education
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Legal Aid and Defender Association
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Telephone surveys
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Data collection that occurs over the phone.
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Past clients
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City of Detroit Planning Commission
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U.S. Department of Education
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Michigan Department of Education
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United Way Community Services
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City of Detroit Senior Services Department
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Mail back surveys
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Surveys that are sent in the mail to respondents, and then entered into a database upon return.
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Past clients
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Wayne State University Department of Economics
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Michigan Department of Education
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City of Detroit Planning Commission
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Web-based surveys
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Surveys that are implemented via the internet with the results downloaded to a database.
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Past clients
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City of Detroit Planning Commission
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Computer assisted interviewing
CATI (computer assisted telephone interviewing)
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Data collection that occurs with an interviewer and respondent over the phone, and uses special software that allows staff to program survey questions into a computer so that responses can be immediately entered into a database.
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Past clients
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National Institute of Justice
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W.E. Upjohn Institute
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United Way
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CAPI (computer assisted personal interviewing)
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Data collection that occurs in person, and involves the interviewer entering all responses directly into a computer.
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Past client
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Urban Institute
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CASI (computer assisted self-administered interviewing)
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A data collection procedure where a survey is set up on a laptop computer, and the respondents enter their responses directly into the computer.
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Past client
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Wayne State University Department of Community Medicine
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Sample design
Random Digit Dialing (RDD)
Sampling participants based on the generation of a random dialing of telephone numbers.
List based
Sampling participants based on a list.
Case-control sampling
Recruiting participants based on certain demographic characteristics.
Stratified and clustered
Sampling participants from mutually exclusive subgroups or clusters.
Respondent recruitment
Recruiting participants from the general population or from a specific group.
Questionnaire development
Focus groups
Staff have experience convening focus groups to help develop questions for use on questionnaires, and to explore, in depth, issues in a qualitative format.
Working with stakeholders to develop questions, question wording / order and design and format
Staff routinely work with stakeholders to develop appropriate questions for use on surveys. Staff also work to ensure that questions are worded correctly, are in the appropriate order on the questionnaire, and are formatted in a user friendly fashion.
Pilot studies / pre-testing
After helping a stakeholder to develop a questionnaire, staff can conduct a pilot test of the instrument with a small sample of respondents.
Data analysis and reporting
Quantitative
Analysis of both primary and secondary data. This could include analyzing the data that we collect or existing data (i.e. Census data). Outputs could range from simple descriptive statistics to more sophisticated multi-variate analyses and modeling.
Qualitative
Analysis of both primary and secondary data. This could include analyzing data from focus groups, in-person interviews, observations, document analysis, record reviews, etc.