Evidence map›Paper›PMID 27152090›Full record

ArticleDemographic research2016

Forgotten marriages? Measuring the reliability of marriage histories.

Sophia Chae

Abstract read
In one paragraph

Article in Demographic research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Sophia ChaeGuttmacher Institute, U.S.A.

Funding

GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
Consequences of High Morbidity and Mortality in a Low-Income CountryR01HD053781 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI KOHLER, HANS-PETER · 2007 to 2011
$2.9M
NICHD NIH HHS R01 HD053781NICHD NIH HHS T32 HD007242
6 · The paper itself

Abstract

backgroundMarriage 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.

objectiveThis 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.

methodsUsing 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.

resultsResults 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.

conclusionsThis 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.

Identifiers

PMID27152090
PMCPMC4852304

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