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Substantive Meanings of Missing Data in Family Research: Does “Don't Know” Matter?

Authors: Jennifer Pearce-Morris; Seung-won Choi; Veronica Roth; Rebekah Young;

Substantive Meanings of Missing Data in Family Research: Does “Don't Know” Matter?

Abstract

In this article we analyze “don't know” responses from three sources of longitudinal data: the National Longitudinal Study of Adolescent Health (n = 14,528), the National Survey of Families and Households (n = 5,488), and the National Health Interview Survey Second Longitudinal Study of Aging (n = 1,131). We asked whether these responses are meaningful in family research, and, if so, how evaluating these responses can contribute to the development of theory, the discovery of novel findings, and identification of sensible methods for analyzing these nebulous responses. We found that “don't know” responses to questions about family members predicted less educational attainment, poor marital quality, and earlier mortality. Results suggest that this response category may have substantive meanings rather than indicating neutral responses or being missing data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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