2020 Census Quantitative Creative Testing Final Report
2020 Census Quantitative Creative Testing
Final Report
A New Design for the 21st Century
Issued November 16, 2022
Version 1.2
Prepared by Steven Scheid, Erica Olmsted-Hawala, Casey Eggleston, Monica Vines
The Census Bureau's Disclosure Review Board and Disclosure Avoidance Officers have reviewed this information
product for unauthorized disclosure of confidential information and have approved the disclosure avoidance
practices applied to this release. (CBDRB-FY22-DSSD007-0041)
2020 Census Research |
2020 Census Quantitative Creative Testing Final Report, Version 1.2
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2020 Census Research |
2020 Census Quantitative Creative Testing Final Report, Version 1.2
Table of Contents
List of Tables ......................................................................................................................................................... ii
Executive Summary.............................................................................................................................................. iii
1.
Introduction .................................................................................................................................................. 1
2.
Background ................................................................................................................................................... 1
3.
Methodology ................................................................................................................................................ 4
3.1
Research Questions.............................................................................................................................. 4
3.2
Experimental Design ............................................................................................................................ 5
Control and Treatment Groups .................................................................................................................... 6
Random Assignment to Condition ................................................................................................................ 8
Online Panel Design ...................................................................................................................................... 8
Measures of Interest .................................................................................................................................. 10
Analyses ...................................................................................................................................................... 14
3.3
Schedule ............................................................................................................................................. 15
4.
Limitations .................................................................................................................................................. 16
5.
Results ........................................................................................................................................................ 17
5.1 Research Question 1. Television advertisements. ........................................................................................ 20
5.2 Research Question 2. Radio advertisements. ............................................................................................... 23
5.3 Research Question 3. Evaluative measures .................................................................................................. 26
5.4 Research Question 4. Operational Hurdles: Is this type of research useful for future creative testing? ..... 26
6.
Conclusions and Recommendations........................................................................................................... 28
6.1
Conclusions ........................................................................................................................................ 28
6.2
Recommendations ............................................................................................................................. 30
6.3 Future Directions with Open-Ended Questions ............................................................................................ 30
7.
Knowledge Management Resolutions ........................................................................................................ 31
8.
Acknowledgements .................................................................................................................................... 31
9.
References .................................................................................................................................................. 31
10.
Appendix ................................................................................................................................................ 32
Appendix A. Acronyms and Abbreviations ......................................................................................................... 32
Appendix B. List of 2020 Census Diverse Mass Television and Radio Advertisements ...................................... 32
Appendix C. Questionnaire ................................................................................................................................. 33
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2020 Census Research |
2020 Census Quantitative Creative Testing Final Report, Version 1.2
List of Tables
Table 1. Diverse Mass Advertisements Tested in This Study ........................................................................ 6
Table 2. Advertisements in Experiment ........................................................................................................ 8
Table 3. Quota Targets .................................................................................................................................. 9
Table 4. Wording and Values for Outcome Variables ................................................................................. 10
Table 5. Schedule of Operational and Analysis Milestones for Quantitative Creative Testing .................. 15
Table 6. Demographics of Respondents ..................................................................................................... 18
Table 7. Sample Size per Condition............................................................................................................. 19
Table 8. Means and Standard Errors for Survey Questions About the Surrounding Show (TV) ................. 20
Table 9. Means and Standard Errors for Questions About Attitudes Toward the Census (TV) .................. 21
Table 10. Means and Standard Errors for Questions About Potential Barriers to Responding (TV) .......... 22
Table 11. Means and Standard Errors for Comparisons Between Census Ads (TV) ................................... 23
Table 12. Means and Standard Errors for Questions About the Surrounding Show (Radio) ..................... 23
Table 13. Means and Standard Errors for Questions About Attitudes Toward the Census (Radio) ........... 24
Table 14. Means and Standard Errors for Questions About Potential Barriers to Responding (Radio) ..... 24
Table 15. Means and Standard Errors for Comparisons Between Census Ads (Radio) .............................. 25
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2020 Census Research |
2020 Census Quantitative Creative Testing Final Report, Version 1.2
Executive Summary
In February 2020, the Census Bureau tested five television and three radio advertisements for
the 2020 Census using quantitative procedures to better understand the effectiveness of the
ads, as well as how the Census Bureau might use this methodology for ad testing in intercensal
years and in preparation for the 2030 Census. Each ad was 30 seconds long. The five television
ads varied in content including information about census takers, information about how census
data are used featuring different places and people across the U.S., kids explaining who to
count, kids explaining how census data are used, and a grandmother filling out the census
questionnaire online. The three radio ads included a man explaining that the census is
mandated in the Constitution and mentioning what the data is used for, many voices describing
how census data is used, and a computerized voice sharing the message that the census
questionnaire is now online. Each ad was embedded within a four-minute clip from ¡°The Big
Bang Theory¡± television program. Respondents were randomly assigned to either watch a
census ad or a 30-second T-Mobile ¡°control¡± ad before being asked about attitudes and
intended behaviors related to the census and the advertisement. We then compared the
answers by ad shown to evaluate the census ads. In total, 10,000 respondents completed this
survey. Respondents were recruited from a nonprobability panel. Quotas were imposed for
age, sex, race, income, education, and region to obtain an experimental sample more
generalizable to the U.S. population.
Respondents were instructed to watch or listen to a short clip from a television show; no
mention of the 2020 Census or Census Bureau was included in the instructions or the invitation
sent to participants. The ad was inserted into the middle of the clip to mimic a regular
commercial break. After watching or listening to the clip of the show with the commercial
breaks, respondents were asked a series of questions about their attitudes and intended
behaviors toward the census. We compared census ads to the control T-Mobile ad across
several questions including intention to respond to the census, intention to recommend others
to fill out the census questionnaire, Census Bureau corporate image, attitudes toward the
census, and efficacy to respond to the census, among other measures. At the end of the
questionnaire, all respondents were reshown a Census Bureau advertisement and asked to
evaluate the advertisement. We used answers to these questions to compare the likeability,
clarity, offensiveness, and teachability of different census advertisements.
Significance testing was done using a linear model predicting the outcome variable from the ad
shown, with age, sex, Hispanic origin, race, marital status, household size, renter status,
income, and region as covariates. The dependent measure was rescaled between 0 and 1 and
treated as an interval variable. Pairwise comparisons were made using Tukey¡¯s Honest
Significant Difference to control family-wise error rates. Results indicate the following:
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