Abstract
The National Couples’ Health and Time Study (NCHAT) is the first fully powered, population-representative study of couples in America containing large samples of sexual, gender, and racial and ethnic diverse individuals. Drawn from the Gallup Panel and the Gallup Recontact Sample, when weighted, the data are population representative of individuals in the United States who (1) are married or cohabiting, (2) are between 20 and 60, (3) speak English or Spanish, and (4) have internet access. The data were collected between September 2020 and April 2021 in the midst of a global pandemic as well as racial and political upheaval. NCHAT includes surveys of 3,642 main respondents and 1,515 partners along with time diaries. We describe the sampling process, challenges weighting a diverse population-representative samples, and sociodemographic characteristics of the NCHAT study. These data will provide opportunities for new research on the health and well-being of American families.
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Data Availability
The data that support the findings of this study are available in the Data Sharing for Demographic Research of the Inter-university Consortium for Political and Social Research with the identifier: https://doi.org/10.3886/ICPSR38417.v1
References
Abdou, C. M., & Fingerhut, A. W. (2014). Stereotype threat among Black and White women in health care settings. Cultural Diversity & Ethnic Minority Psychology, 20(3), 316–323. https://doi.org/10.1037/a0036946
ACLU. (2023). Mapping Attacks on LGBTQ Rights in U.S. State Legislatures. American Civil Liberties Union. https://www.aclu.org/legislative-attacks-on-lgbtq-rights
Amirkhan, J. H. (2018). A brief stress diagnostic tool: The short stress overload scale. Assessment, 25(8), 1001–1013. https://doi.org/10.1177/1073191116673173
Andrasfay, T., & Goldman, N. (2021). Reductions in 2020 US life expectancy due to COVID-19 and the disproportionate impact on the Black and Latino populations. Proceedings of the National Academy of Sciences, 118(5), e2014746118. https://doi.org/10.1073/pnas.2014746118
Andresen, E. M., Malmgren, J. A., Carter, W. B., & Patrick, D. L. (1994). Screening for depression in well older adults: Evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). American Journal of Preventive Medicine, 10(2), 77–84.
Arnedt, J. T. (2012). PROMIS™ of improved tools for assessing sleep and wake function: Commentary on “development of short forms from the PROMIS™ sleep disturbance and sleep-related impairment item banks”. Behavioral Sleep Medicine, 10(1), 25–27. https://doi.org/10.1080/15402002.2012.636267
Balsam, K. F., Molina, Y., Beadnell, B., Simoni, J., & Walters, K. (2011). Measuring multiple minority stress: The LGBT People of Color Microaggressions Scale. Cultural Diversity and Ethnic Minority Psychology, 17(2), 163–174. https://doi.org/10.1037/a0023244
Barile, J., Reeve, B., Smith, A., Zack, M., Mitchell, S., Kobau, R., Cella, D., Luncheon, C., & Thompson, W. (2013). Monitoring population health for Healthy People 2020: Evaluation of the NIH PROMIS® Global Health, CDC Healthy Days, and satisfaction with life instruments. Quality of Life Research, 22(6), 1201–1211. https://doi.org/10.1007/s11136-012-0246-z
Battaglia, M. P., Hoaglin, D. C., & Frankel, M. R. (2009). Practical considerations in raking survey data. Survey Practice, 2(5), 1–12. https://doi.org/10.29115/SP-2009-0019
Bodenmann, G., Arista, L. J., Walsh, K. J., & Randall, A. K. (2018). Dyadic coping inventory In Encyclopedia of couple and family therapy. Springer.
Bureau of Labor Statistics. (2014). American Time Use Survey User’s Guide Bureau of Labor Statistics. http://www.bls.gov/tus/atususersguide.pdf
Cantril, H. (1965). The pattern of human concerns. Rutgers University Press.
Center for Disease Control and Prevention. (2019). National Health Interview Survey. https://www.cdc.gov/nchs/nhis/2019nhis.htm
Daikeler, J., Bošnjak, M., & Lozar Manfreda, K. (2019). Web versus other survey modes: An updated and extended meta-analysis comparing response rates. Journal of Survey Statistics and Methodology, 8(3), 513–539. https://doi.org/10.1093/jssam/smz008
Davern, M., Bautista, R., Freese, J., Morgan, S. L., & Smith, T. W. (2021). General Social Survey 2021 Cross-section [1 datafile (68,846 cases) and 1 codebook (506 pages).]. NORC.
Dal Grande, E., Chittleborough, C. R., Campostrini, S., Tucker, G., & Taylor, A. W. (2015). Health estimates using survey raked-weighting techniques in an australian population health surveillance system. American Journal of Epidemiology, 182(6), 544–556. https://doi.org/10.1093/aje/kwv080
Davern, M. (2013). Nonresponse rates are a problematic indicator of nonresponse bias in survey research. Health Services Research, 48(3), 905–912. https://doi.org/10.1111/1475-6773.12070
Dutwin, D., & Buskirk, T. D. (2017). Apples to Oranges or Gala versus Golden Delicious?: Comparing data quality of nonprobability internet samples to low response rate probability samples. Public Opinion Quarterly, 81(S1), 213–239. https://doi.org/10.1093/poq/nfw061
Dyar, C., Feinstein, B. A., & Davila, J. (2019). Development and validation of a brief version of the anti-bisexual experiences scale. Archives of Sexual Behavior, 48(1), 175–189. https://doi.org/10.1007/s10508-018-1157-z
Ford-Gilboe, M., Wathen, C. N., Varcoe, C., Macmillan, H. L., Scott-Storey, K., Mantler, T., Hegarty, K., & Perrin, N. (2016). Development of a brief measure of intimate partner violence experiences: The composite abuse scale (Revised)—short form (CAS R -SF). British Medical Journal Open, 6(12), e012824. https://doi.org/10.1136/bmjopen-2016-012824
Funk, J. L., & Rogge, R. D. (2007). Testing the ruler with item response theory: Increasing precision of measurement for relationship satisfaction with the Couples Satisfaction Index. Journal of Family Psychology, 21(4), 572–583. https://doi.org/10.1037/0893-3200.21.4.572
Gallup. (2019). Gallup COVID-19 Pulse Survey Questionnaire. Unpublished survey
Gallup. (2022a). How Does the Gallup National Health and Well-being Index Work? https://news.gallup.com/poll/246200/gallup-national-health-index-work.aspx
Gallup. (2022b). How Does the Gallup U.S. Poll Work? https://www.gallup.com/224855/gallup-poll-work.aspx
Gillum, T. L., & DiFulvio, G. (2012). There’s so much at stake: Sexual minority youth discuss dating violence. Violence against Women, 18(7), 725–745.
Groves, R. M. (2006). Nonresponse rates and nonresponse bias in household surveys. Public Opinion Quarterly, 70(5), 646–675. https://doi.org/10.1093/poq/nfl033
Groves, R. M., & Peytcheva, E. (2008). The impact of nonresponse rates on nonresponse bias: A meta-analysis. Public Opinion Quarterly, 72(2), 167–189. https://doi.org/10.1093/poq/nfn011
Haslam, D., Filus, A., Morawska, A., Sanders, M. R., & Fletcher, R. (2015). The work-family conflict scale (WAFCS): Development and initial validation of a self-report measure of work-family conflict for use with parents. Child Psychiatry and Human Development, 46(3), 346–357. https://doi.org/10.1007/s10578-014-0476-0
Health, N. I. o. (2021). Minority Health and Health Disparities Strategic Plan 2021–2025 National Institutes of Health. https://www.nimhd.nih.gov/docs/nimhd-strategic-plan-2021-2025.pdf
Hughes, M. E., Waite, L. J., Hawkley, L. C., & Cacioppo, J. T. (2004). A short scale for measuring loneliness in large surveys: Results from two population-based studies. Research on Aging, 26(6), 655–672.
Hughes, T. L., Martin, K., Nisi, R., & Veldhuis, C. (2017). Chicago Health and Life Experiences of Women Wave 4 Questionnaire. Unpublished survey.
Interagency Federal Statistical Rapid Response Survey to Measure Household Experiences during the Coronavirus (COVID-19) Pandemic. (2021a). Source of the Data and Accuracy of the Estimates for the 2020 Household Pulse Survey – Phase 2. Retrieved from: https://www2.census.gov/programs-surveys/demo/technical-documentation/hhp/Phase2_Source_and_Accuracy_Week_17.pdf.
Interagency Federal Statistical Rapid Response Survey to Measure Household Experiences during the Coronavirus (COVID-19) Pandemic. (2021b). Source of the Data and Accuracy of the Estimates for the 2020 Household Pulse Survey – Phase 3. Retrieved from: https://www2.census.gov/programs-surveys/demo/technical-documentation/hhp/Phase3_Source_and_Accuracy_Week_27.pdf.
Interagency Federal Statistical Rapid Response Survey to Measure Household Experiences during the Coronavirus (COVID-19) Pandemic. (2021c). Source of the Data and Accuracy of the Estimates for the 2020 Household Pulse Survey – Phase 3.1. Retrieved from: https://www2.census.gov/programs-surveys/demo/technical-documentation/hhp/Phase3-1_Source_and_Accuracy_Week_28.pdf.
Jeske, M., Vasquez, E., Fullerton, S. M., Saperstein, A., Bentz, M., Foti, N., Shim, J. K., & Lee, S.S.-J. (2022). Beyond inclusion: Enacting team equity in precision medicine research. PLoS ONE, 17(2), e0263750. https://doi.org/10.1371/journal.pone.0263750
Jeung, R., Yellow Horse, A., Popovic, T., & Lim, R. (2021). Stop AAPI Hate National Report. https://secureservercdn.net/104.238.69.231/a1w.90d.myftpupload.com/wp-content/uploads/2021/03/210312-Stop-AAPI-Hate-National-Report-.pdf
Kamp Dush, C. M., & Manning, W. D. (2022). National Couples' Health and Time Study (NCHAT), United States, 2020-2021 Inter-university Consortium for Political and Social Research [distributor]. https://doi.org/10.3886/ICPSR38417.v1
Kaufman, E. A., Xia, M., Fosco, G., Yaptangco, M., Skidmore, C. R., & Crowell, S. E. (2015). The difficulties in emotion regulation scale short form (DERS-SF): validation and replication in adolescent and adult samples. Journal of Psychopathology and Behavioral Assessment, 38(3), 443–455. https://doi.org/10.1007/s10862-015-9529-3
Keeter, S., Kennedy, C., Dimock, M., Best, J., & Craighill, P. (2006). Gauging the impact of growing nonresponse on estimates from a national RDD Telephone survey. Public Opinion Quarterly, 70(5), 759–779. https://doi.org/10.1093/poq/nfl035
Korn, E. L., & Graubard, B. I. (1995). Examples of differing weighted and unweighted estimates from a sample survey. The American Statistician, 49(3), 291–295. https://doi.org/10.2307/2684203
Lett, E., Adekunle, D., McMurray, P., Asabor, E. N., Irie, W., Simon, M. A., Hardeman, R., & McLemore, M. R. (2022). Health equity tourism: Ravaging the justice landscape. Journal of Medical Systems, 46(3), 17. https://doi.org/10.1007/s10916-022-01803-5
López, N., Vargas, E., Juarez, M., Cacari-Stone, L., & Bettez, S. (2018). What’s your “street race”? Leveraging multidimensional measures of race and intersectionality for examining physical and mental health status among latinxs. Sociology of Race and Ethnicity, 4(1), 49–66. https://doi.org/10.1177/2332649217708798
MacInnis, B., Krosnick, J. A., Ho, A. S., & Cho, M.-J. (2018). The accuracy of measurements with probability and nonprobability survey samples: Replication and extension. Public Opinion Quarterly, 82(4), 707–744. https://doi.org/10.1093/poq/nfy038
Manning, W. D., & Kamp Dush, C. M. (2022). COVID-19 stress and sexual identities. Socius, 8, 23780231221105376. https://doi.org/10.1177/23780231221105376
Marlar, J., Kamp Dush, C. M., Manning, W. D., Berrigan, M. N., VanBergen, A. M., Tsabutashvili, D., Chattopadhyay, M., & Theodorou, A. (2022). National Couples' Health and Time Study (NCHAT): Methodology Report. https://pop.umn.edu/sites/pop.umn.edu/files/2022-07/NCHAT%20Wave%201%20methodology%20report%20Final%207.8.2022.docx.pdf
Martin, M. (2021). Computer and internet use in the United States: 2018 (American Community Survey Reports, Issue. https://www.census.gov/content/dam/Census/library/publications/2021/acs/acs-49.pdf
Meyer, I. H., Frost, D. M., Hammack, P. L., Lightfoot, M., Russell, S. T., & Wilson, B. D. M. (2016). Generations study baseline questionnaire and measure sources. International Journal of STD & AIDS, 27, 955–966.
Meyer, I. H., Marken, S., Russell, S. T., Frost, D. M., & Wilson, B. D. (2020). An innovative approach to the design of a national probability sample of sexual minority adults. LGBT Health, 7(2), 101–108.
MIDUS. (2004). Documentation of scales. . http://www.midus.wisc.edu/midus1/documentationofscales.pdf
Mohr, J. J., & Kendra, M. S. (2012). Revision and extension of a multidimensional measure of sexual minority identity: The Lesbian, Gay, and Bisexual Identity Scale. Journal of Counseling Psychology, 58(2), 234–245. https://doi.org/10.1037/a0022858
Office of Management and Budget. (2006). Questions and answers when designing surveys for information collections. Retreived from: https://www.whitehouse.gov/wp-content/uploads/legacy_drupal_files/omb/assets/OMB/inforeg/pmc_survey_guidance_2006.pdf
Pandemic, I. F. S. R. R. S. t. M. H. E. d. t. C. C.-. (2021). Source of the Data and Accuracy of the Estimates for the 2020 Household Pulse Survey—Phase 3. I. F. S. R. R. S. t. M. H. E. d. t. C. C.-. Pandemic. https://www2.census.gov/programs-surveys/demo/technical-documentation/hhp/Phase2_Source_and_Accuracy_Week_17.pdf
Pickett, J. T., Cullen, F. T., Bushway, S. D., Chiricos, T., & Alpert, G. (2018). The response rate test: Nonresponse Bias and the future of survey research in criminology and criminal justice. The Criminologist. https://doi.org/10.2139/ssrn.3103018
Poll, G. W. (2008). World Poll Survey Data. G. Inc. https://media.gallup.com/dataviz/www/WP_Questions_WHITE.pdf
Procidano, M. E., & Heller, K. (1983). Measures of perceived social support from friends and from family: Three validation studies. American Journal of Community Psychology, 11(1), 1–24. https://doi.org/10.1007/BF00898416
PROMIS. (2019). PROMIS Adult Assessment.
OCA-Asian Pacific American Advocates. (2020). OCA demands apology for Trump tweets that stoke anti-Asian sentiment https://www.ocanational.org/oca-demands-apology-for-trump-tweets-that-stoke-anti-asian-sentiment
Research, T. A. A. f. P. O. (2016). Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys AAPOR. http://www.aapor.org/AAPOR_Main/media/publications/Standard-Definitions20169theditionfinal.pdf
Ruiz, N. G., Menasce Horowitz, J., & Tamir, C. (2020). Many Black and Asian Americans Say They Have Experienced Discrimination Amid the COVID-19 Outbreak. https://www.pewresearch.org/social-trends/2020/07/01/many-black-and-asian-americans-say-they-have-experienced-discrimination-amid-the-covid-19-outbreak/
Sacks, V., Murphey, D., & Moore, K. (2014). Adverse childhood experiences: National and state-level prevelance. https://calio.dspacedirect.org/handle/11212/1663
Sales, J. M., Spitalnick, J., Milhausen, R. R., Wingood, G. M., Diclemente, R. J., Salazar, L. F., & Crosby, R. A. (2008). Validation of the worry about sexual outcomes scale for use in STI/HIV prevention interventions for adolescent females. Health Education Research, 24(1), 140–152. https://doi.org/10.1093/her/cyn006
Small-Rodriguez, D. (2022, May 16, 2022). Data for Understudied Populations. National Academy of Sciences Committee on Population.
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder. Archives of Internal Medicine, 166(10), 1092–1097. https://doi.org/10.1001/archinte.166.10.1092
Stanley, S. M., & Markman, H. J. (1997). Marriage in the 90s: A nationwide random phone survey. PREP Inc.
Stanley, S. M., Markman, H. J., & Whitton, S. W. (2002). Communication, conflict, and commitment: Insights on the foundations of relationship success from a national survey. Family Process, 41(4), 659–675.
Stephenson, R., & Finneran, C. (2013). The IPV-GBM Scale: A new scale to measure intimate partner violence among gay and bisexual men. PLoS ONE, 8(6), 1–10.
Sweet , J. A., & Bumpass, L. L. (2002). The National Survey of Families and Households - Waves 1, 2, and 3: Data Description and Documentation. http://www.ssc.wisc.edu/nsfh/home.htm
The American Association for Public Opinion Research. (2023). Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 10th edition. AAPOR. Retrieved from: https://aapor.org/wp-content/uploads/2023/05/Standards-Definitions-10th-edition.pdf
United States Census Bureau. (2019). American Community Survey. https://www.census.gov/programs-surveys/acs
Ursano, R. J., Stein, M. B., Kessler, R. C., Heeringa, S. G., & Wagner, J. (2020). Army Study to Assess Risk and Resilience in Servicemembers (STARRS) Inter-university Consortium for Political and Social Research [distributor]. https://doi.org/10.3886/ICPSR35197.v7
US Bureau of Labor Statistics. (2020). American Time Use Survey Questionnaire 2011–2019. https://www.bls.gov/tus/tuquestionnaire.pdf
Williams, D. R., Yu, Y., Jackson, J. S., & Anderson, N. B. (1997). Racial differences in physical and mental health: Socioeconomic status, stress, and discrimination. Journal of Health Psychology, 2(3), 335–351.
Yeager, D. S., Krosnick, J. A., Chang, L., Javitz, H. S., Levendusky, M. S., Simpser, A., & Wang, R. (2011). Comparing the accuracy of RDD telephone surveys and internet surveys conducted with probability and non-probability samples. Public Opinion Quarterly, 75(4), 709–747. https://doi.org/10.1093/poq/nfr020
Acknowledgements
We would like to thank Gary Gates, Patricia Pittman, Meghna Mahambrey, Autumn Bermea, Maya Dennis, Julia Applegate, Lawrence Stacey, Luther Young, Jessica Horan, Joanne Patterson, JaNelle Ricks, Miles Taylor, Carla Pfeffer, Benjamin Karney, Elizabeth Cooksey, Sarah Flood, Liana Sayer, Rin Reczek, Hui Zheng, John Pachinkos, Tonda Hughes, Aaron Dush, Rachel Hardeman, Karen Guzzo, James Wagner, and James Lepkowski for their contributions to NCHAT and this paper. We would also like to thank NCHAT respondents who made this project possible. This paper and its contents are solely our responsibility and do not necessarily represent the official views of NICHD.
Funding
This research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD; 1R01HD094081-01A1). This project also benefited from support provided by the University of Minnesota’s Minnesota Population Center. (P2CHD041023), the Bowling Green State University’s Center for Family and Demographic Research (P2CHD050959) and The Ohio State University’s Institute for Population Research (P2CHD058484), all supported by NICHD.
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Dush, C.M.K., Manning, W.D., Berrigan, M.N. et al. National Couples’ Health and Time Study: Sample, Design, and Weighting. Popul Res Policy Rev 42, 62 (2023). https://doi.org/10.1007/s11113-023-09799-7
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DOI: https://doi.org/10.1007/s11113-023-09799-7