Related Experiment Videos
Comparison of two question sequences for assessing pregnancy intentions
R B Kaufmann1, L Morris, A M Spitz
1Division of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
American Journal of Epidemiology
|May 1, 1997
Summary
Survey question order impacts how women report pregnancy intentions. Understanding these nuances is crucial for accurate reproductive health data collection and analysis.
Area of Science:
- Reproductive Health
- Survey Methodology
- Sociology
Background:
- Unintended pregnancies carry significant health, social, and economic consequences.
- Pregnancy intendedness is categorized as intended, mistimed, or unwanted.
- Survey question wording and order can influence respondent understanding and data validity.
Purpose of the Study:
- To assess the impact of question order on reporting of pregnancy intendedness.
- To compare the National Survey of Family Growth (NSFG) and Demographic and Health Survey (DHS) intendedness questions.
- To identify factors associated with discordant responses in pregnancy intendedness surveys.
Main Methods:
- A randomized crossover design was employed in a 1993 survey of Arizona women aged 18-44.
- Participants responded to both NSFG and DHS intendedness questions.
- Demographic and pregnancy-related factors were analyzed for their association with discordant responses.
Main Results:
- 25% of 2,352 ever-pregnant respondents provided discordant answers between DHS and NSFG questions.
- Age, marital status, income, education, parity, time since pregnancy, and pregnancy outcome predicted discordant responses.
- Young, unmarried women were more likely to classify pregnancies as 'mistimed' when the question was asked later.
Conclusions:
- The classification of pregnancies as intended, mistimed, or unwanted can be challenging for women uncertain about future reproductive preferences.
- Survey validity can be improved by addressing respondent ambivalence and clarifying definitions.
- For young, unmarried women, avoiding classification of unintended pregnancies as mistimed or unwanted may enhance data accuracy.
Keywords:
Age FactorsAmericasArizonaComparative StudiesDemographic FactorsDeveloped CountriesError SourcesFamily And HouseholdFamily CharacteristicsFamily SizeFamily Size, DesiredFertilityFertility PreferencesMeasurementNorth AmericaNorthern AmericaPopulationPopulation CharacteristicsPopulation DynamicsPregnancy, UnplannedPregnancy, UnwantedReproductive BehaviorResearch MethodologySampling StudiesStudiesSurveysUnited States