Methodology
Marquette Law School Poll
September 6-11, 2022
The Marquette Law School Poll was conducted September 6-11, 2022. A total of 801 registeredvoters were interviewed by a combination of landline and cell phone using random digit dialing (RDD). Interviews were completed with 222 (28%) landline respondents and 579 (72%) cellphone respondents. The data collection was managed by SSRS, Glen Mills, PA, with telephoneinterviews conducted by MAXimum Research, Inc., Cherry Hill, NJ.
The geographic coverage of the sample was the 72 counties of the state of Wisconsin.
The sample size for registered voters is 801. The margin of error, including design effects due topost-stratification is ±4.3 percentage points for the full sample. The weighted sample size for registered voters is the same as the unweighted sample size, 801. The likely voter sample of 632 hasa margin of error of ±4.9 percentage points.
Some items were asked of half the sample. Those on Form A were asked of 399 and have a margin of error of ±6.0 percentage points. Form B items were asked of 402 and have a margin of error of ±6.1 percentage points.
Items asked of half-samples include on Form A concern about the issues of public schools, inflation, abortion policy, taxes, gun violence and crime. Form B asked concern about the coronavirus
pandemic, illegal immigration, ensuring an accurate vote count, and climate change. Form B also
included items on property taxes and school spending, and whether covid shutdowns were appropriate or an overreacion.
Post-Stratification
Post-stratification, or weighting, compensates for patterns of non-response that shift sample characteristics from known population values. In telephone surveys it is common for potential respondents who are younger and have fewer years of formal education to exhibit higher rates of
non-response resulting in these groups being under-represented in the sample. To compensate forthese non-response effects the sample is weighted to bring sample demographic characteristics
into line with the population values. In this sample the registered voter population values of age
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groups, education levels, geographic region of the state, marital status and sex were determinedusing the 1996-2020 releases of the Current Population Survey (CPS) and data on registered voters supplied by the Wisconsin Elections Commission (WEC)).
A raking algorithm was used to simultaneously balance the weights so that the sample distribution closely approximates the known population distributions for age, education, geographic region, marital status, and sex. The population, raw sample size, unweighted and weighted percentages, as well as population parameters from the CPS and Wisconsin Elections Commissions areshown in the table below.

2Comparison of final weighted data to CPS and WEC parameters

Group
GenderMaleFemale

Wisconsin
Unweighted Weighted

Raw N

Parameter

445
356

56
4448524852

Gender and Marital Status
Married Male
Married Female
Unmarried Male
Unmarried Female

261
181
184
175

33
2323
2230
31
182130
31
1821

Age
18-29
30-39
40-49
50-59
60-69
70+
Age NA

74
57
110
142
194
222
2

97141824
2801516141722
1701516
14
1722
17

EducationLess than high school
High schoolSome college
Associates degree
College Graduate
Post-Graduate
Education NA9167
136
109
184
191
51
21
171423241326
19122513132719122513Region
City of Milwaukee
Rest of Milwaukee DMAMadison DMA
Green Bay-Appleton DMA
Rest of Wisconsin

67249
149
150
186831191923831181923931181923

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AAPOR Transparency Initiative Information
The Marquette Law School Poll follows the guidelines for disclosure of the American Association
for Public Opinion Research Transparency Initiative. For more information on the initiative see:
http://www.aapor.org/AAPORKentico/transparency.aspx
1. The poll is sponsored by Marquette Law School.
2. The Marquette Law School Poll, under the direction of Prof. Charles Franklin, designedthe survey instrument and sampling design. The data collection was administered by SSRS,Glen Mills, PA with telephone interviews conducted by MAXimum Research, Inc., CherryHill, NJ.
3. Funding for this study was provided by the Marquette Law School Alumni Annual Fund.
Their support is gratefully acknowledged.
4. The full survey instrument is available online athttps://law.marquette.edu/poll/results-data/
5. The population surveyed consists of registered voters in the 72 counties of Wisconsin. Registration is determined by self-report. Those who are not registered but who say they willregister by election day and included as registered voters.
6. The sample frame is a dual frame landline and cell telephone sample using a random digit
dialing design. Sampling was stratified by region of the state to provide approximately proportional sample sizes for each region.
7. The sample was supplied by Marketing Systems Group (MSG).
8. The dual-frame random digit dial design was used to ensure that both cell phone and landlines and listed and unlisted numbers would be included in the sample. Registered voters, age 18 and over, in the landline sample were selected using the “most recent birthday”
method. Respondents were also screened to ensure they were current residents of the 72
counties of Wisconsin included in the sampling frame. Interviews in the cell phone sample
were conducted with the person who answered the phone if they were registered voter, age
18 or over, and lived in one of the 72 Wisconsin counties.
9. The sample is a probability design using a random digit dialed (RDD) dual-frame design ofcell phone and landline numbers.
10. See 8 and 9 above.
11. The sample was designed to be representative of the state of Wisconsin. The registeredvoter sample size is 801. The margin of error, including design effects due to post-stratification
is ±4.3 percentage points for the full sample. The weighted sample size for registered votersis the same as the unweighted sample size, 801. The likely voter sample of 632 has a marginof error of ±4.9 percentage points.
Some items were asked of half the sample. Those on Form A were asked of 399 and havea margin of error of ±6.0 percentage points. Form B items were asked of 402 and have amargin of error of ±6.1 percentage points.
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In this sample the population values of age groups, education levels, geographic region andsex were determined using the 1996-2020 data from the Current Population Survey conducted by the U.S. Census Bureau in Wisconsin and from data on registered voters reported by the Wisconsin Elections Commission.
A raking algorithm was used to simultaneously balance the weights so that the sample distribution closely approximates the known population distributions for age, education, geographic region, and sex.
The design effect, deff, for a sample of size n and with each case having a weight, wi , is calculated as:nndeff =X

i=1nX

wi2!2wii=1

Incorporating the design effect, the 95% confidence interval around a percentage is:spp̂(1−p̂)p̂ ±  deff × 1.96n−1where p̂ is the sample estimate and n is unweighted number of cases.
The design effects due to post-stratification for the sample is 1.53. That effect is included in
the calculated margin of error reported above.
12. The design effect has been incorporated in the calculation of all reported margins of error.
13. Results reported reflect the full sample within Wisconsin, with the margins of error corresponding to those reported above in item 11. When subsamples are reported the appropriate margin of error is also reported, as in item 11 above.
14. The survey was administered in English by telephone (landline and cell) using live interviewers. The data were collected September 6-11, 2022.
15. Full results, including the complete instrument, topline results and crosstabs as well as thismethodological report are available online athttps://law.marquette.edu/poll/results-data/
For further information contact the survey director, Prof. Charles Franklin at
Charles.franklin@marquette.edu

5Sample Disposition and Response Rate Report
The table below presents the disposition of all sampled numbers that were ever dialed as part ofthis survey. The response rate is computed according to the AAPOR standard definition 3. In
this survey the response rate was 1.3%.
Sample Disposition and Response Rate

Disposition
8018663
8203
10834
1043471751

Description
I=Completes
R=Refusals and breakoffs
NC=Non-contact
O=Other
OF=Out of sampling frame/business/not working
UH=Unknown household (No answer, answering machine)
UO=Unknown Other

0.47

AAPOR’s e=(I+R+NC+O)/(I+R+NC+O+OF)

1.3

AAPOR RR3=I/(I+R+NC+O+(e*(UH+UO)))*100

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