The National Survey of Fertility Barriers, 2004-2010 [United States] (ICPSR 36902)

Version Date: Nov 2, 2017 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
David R. Johnson, Pennsylvania State University. Population Research Institute

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The National Survey of Fertility Barriers (NSFB) is a nationally representative telephone survey of women age 25-45 that was funded by grant R01-HD044144 from the National Institute of Child Health and Development (NICHD) entitled "Infertility: Pathways and Psychological Outcomes". Professors David R. Johnson (originally University of Nebraska-Lincoln (UNL) and later Pennstate University) and Lynn K. White (UNL) were the Principal Investigators, with co-investigators Julia McQuillan (UNL), Arthur L. Greil (Alfred University), Mary Casey Jacob (University of Connecticut), Naomi Laci (University of Nebraska Medical Center) and Laurie Scheuble (Doane University). The focus of the survey is Psycho-Social-Biomedical dimensions of fertility barriers. The two wave design facilitates assessing people before they know that they have a fertility barrier and after they experience a fertility barrier, as well as retrospective data on fertility history. Fertility barriers include subfecundity, repeated miscarriages, health conditions that preclude childbearing, situational barriers, and sterilization regret. The first wave was conducted between 2004 and 2007 and includes completed interviews with 4,794 women age 25 to 45 and 926 of their partners. The second wave was collected between 2007 and 2010 and includes 2222 women and 772 of their partners. The data were collected by the Survey Research Center at The Pennsylvania State University and the Bureau of Sociological Research at the University of Nebraska-Lincoln.

Johnson, David R. The National Survey of Fertility Barriers, 2004-2010 [United States]. Inter-university Consortium for Political and Social Research [distributor], 2017-11-02.

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United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01-HD044144)


Inter-university Consortium for Political and Social Research

2004 -- 2010
2008-06-09 -- 2010-12-23
  1. These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by DSDR or ICPSR at this time. Once the study is further curated and given enhanced features by DSDR, users will be able to access the updated version of the study.

  2. Some documentation reflects a previous title for this study. For the latest study information, please see the study homepage.


The protocol used area codes and the first three digits of the numbers in a calling area, and the last four digits were randomly generated (Random Digit Dialing: RDD). Census tracts with higher minority populations (African American and Latina) were over-sampled. The protocol involved screening questions to determine if there were women ages 25-45 in the home. Only a tenth of women who had not had a fertility barrier or were not at risk of a fertility barrier were included in the sample. Wave 2 utilizes respondents who were identified at and completed the baseline NSFB survey (Wave 1) conducted between August 2004 and February 2007.

Longitudinal: Panel

Women ages 25 to 45 who responded to the first wave of the study.

Women aged 24 to 35.




2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Johnson, David R. The National Survey of Fertility Barriers, 2004-2010 [United States]. ICPSR36902-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-11-02.

Weights are included for both the first and second wave. Fwate is the correct weight to use when analyzing only the first wave, or using a method that retains all first wave respondents in an analysis that also included the second wave data (e.g., when the missing second wave variables are imputed or a method such as fixed effects regression is used). Fwate_w2 is the correct weight to use when analyzing only those who responded to both waves. This weight includes an adjustment for effect of attrition on the representativeness of the second wave respondents using an inverse probability weight (IPW) estimated from the logistic regression model of attrition described in this report. Fwate_w2 was created by multiplying the original weight (Fwate) times the IPW.



  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.