e-journal

Methods for Handling Missing Secondary Respondent Data

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Secondary respondent data are underutilized because researchers avoid using these data in the presence of substantial missing data. The authors reviewed, evaluated, and testedsolutions to this problem. Five strategies of dealing with missing partner data were reviewed: (a) complete case analysis, (b) inverse probability weighting, (c) correction with a Heckman selection model, (d) maximum likelihood estimation, and (e) multiple imputation. Two approaches were used to evaluate the performance of these methods. First, the authors used data from the National Survey of Fertility Barriers (n = 1,666) to estimate a model predicting marital quality based on characteristics of women and their husbands. Second, they conducted a simulation testing the 5 methods and compared the results to estimates where the true value was known. They found that the maximum likelihood and multiple imputation methods were advantageous because they allow researchers to utilize all of the available information as well as produce less biased and more efficient estimates.

Key Words: maximum likelihood, missing data, multiple imputation, nonresponse, secondary respondents.

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Informasi Detail

Judul Seri

Journal of Marriage and Family

No. Panggil

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Penerbit

: Wiley-Blackwell., 2013

Deskripsi Fisik

Journal of Marriage and Family 75 (February 2013): 221 – 234

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

'PERKAWINAN DAN KELUARGA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Nurasmi

Versi lain/terkait

Lampiran Berkas

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