Volume 34 - Article 19 | Pages 525–562  

Forgotten marriages? Measuring the reliability of marriage histories

By Sophia Chae

Abstract

Background: Marriage histories are a valuable data source for investigating nuptiality. While researchers typically acknowledge the problems associated with their use, it is unknown to what extent these problems occur and how marriage analyses are affected.

Objective: This paper seeks to investigate the quality of marriage histories by measuring levels of misreporting, examining the characteristics associated with misreporting, and assessing whether misreporting biases marriage indicators.

Methods: Using data from the Malawi Longitudinal Study of Families and Health (MLSFH), I compare marriage histories reported by the same respondents at two different points in time. I investigate whether respondents consistently report their spouses (by name), status of marriage, and dates of marriage. I use multivariate regression models to investigate the characteristics associated with misreporting. Finally, I examine whether misreporting marriages and marriage dates affects marriage indicators.

Results: Results indicate that 28.3% of men and 17.9% of women omitted at least one marriage in one of the survey waves. Multivariate regression models show that misreporting is not random: marriage, individual, interviewer, and survey characteristics are associated with marriage omission and marriage date inconsistencies. Misreporting also affects marriage indicators.

Conclusions: This is the first study of its kind to examine the reliability of marriage histories collected in the context of Sub-Saharan Africa. Although marriage histories are frequently used to study marriage dynamics, until now no knowledge has existed on the degree of misreporting. Misreporting in marriage histories is shown to be non-negligent and could potentially affect analyses.

Author’s Affiliation

• Sophia Chae - Population Council, International EMAIL

Other articles by the same author/authors in Demographic Research

Physical attractiveness and women’s HIV risk in rural Malawi
Volume 37 - Article 10

Most recent similar articles in Demographic Research

The use of mobile phone surveys for rapid mortality monitoring: A national study in Burkina Faso
Volume 52 - Article 16    | Keywords: age-specific mortality patterns, data quality, Demographic Health Surveys, direct estimation, health and security crises, low-and-middle-income countries, mobile phones, mortality, sample selection, surveys, under-five mortality

Studying multiple causes of death through verbal autopsies: Contribution of an index of similarity
Volume 52 - Article 8    | Keywords: causes of death, data quality, LMICs, multimorbidity, multiple causes of death, verbal autopsies

The changing inter-relationship between partnership dynamics and fertility trends in Europe and the United States: A review
Volume 52 - Article 7    | Keywords: childbearing, Europe, family complexity, fertility, fertility, marriage, partnership, United States of America

Interrogating the quality and completion of mortality mobile phone interviews conducted in Malawi during COVID-19: An examination of interviewer–respondent interactions
Volume 51 - Article 46    | Keywords: audio-recording, LMICs, Malawi, mobile phone survey, mortality, RaMMPS

Using online genealogical data for demographic research: An empirical examination of the FamiLinx database
Volume 51 - Article 41    | Keywords: completeness, data quality, digital data, FamiLinx, genealogies, kinship network