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Do household asset wealth measurements depend on who is surveyed? Asset reporting concordance within multi-adult households in rural Uganda.

Publication ,  Journal Article
Smith, ML; Kakuhikire, B; Baguma, C; Rasmussen, JD; Bangsberg, DR; Tsai, AC
Published in: Journal of global health
June 2020

In resource-limited settings, the Filmer & Pritchett asset index is frequently used to measure household economic status. Little is known about how its validity is affected by differential reporting or recall within households.As part of a whole-population survey in a rural region of southwestern Uganda, we elicited household asset information from married dyads (404 men and 404 matched women) residing within the same households. We assessed the extent to which the asset index yielded differing measures of relative household wealth, depending on whether the husband's or wife's survey data were used in its calculation. To estimate agreement, we used Cohen's κ for binary and categorical variables, and Cronbach's α for continuous variables. We also assessed the extent to which asset wealth quintiles assigned based on husbands' vs wives' reporting were concordant, and whether discordance was related to demographic characteristics.For most individual assets, agreement ranged from moderate to very good. Asset index scores based on husbands' vs wives' reporting were positively correlated (Pearson r = 0.85). Corresponding wealth quintiles were moderately concordant (weighted κ = 0.65); 171 households (43%) differed by one or more quintiles when the husbands' vs wives' reporting was used, and 43 (11%) differed by two or more quintiles. Concordance in asset wealth quintile could not be explained by joint educational attainment, age, or age difference.There is significant intra-household variability in household asset reporting that can materially affect how households are classified on a widely used measure of relative household asset wealth.

Duke Scholars

Published In

Journal of global health

DOI

EISSN

2047-2986

ISSN

2047-2978

Publication Date

June 2020

Volume

10

Issue

1

Start / End Page

010412

Related Subject Headings

  • Young Adult
  • Uganda
  • Surveys and Questionnaires
  • Spouses
  • Socioeconomic Factors
  • Rural Population
  • Reproducibility of Results
  • Middle Aged
  • Male
  • Income
 

Citation

APA
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ICMJE
MLA
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Smith, M. L., Kakuhikire, B., Baguma, C., Rasmussen, J. D., Bangsberg, D. R., & Tsai, A. C. (2020). Do household asset wealth measurements depend on who is surveyed? Asset reporting concordance within multi-adult households in rural Uganda. Journal of Global Health, 10(1), 010412. https://doi.org/10.7189/jogh.10.010412
Smith, Meghan L., Bernard Kakuhikire, Charles Baguma, Justin D. Rasmussen, David R. Bangsberg, and Alexander C. Tsai. “Do household asset wealth measurements depend on who is surveyed? Asset reporting concordance within multi-adult households in rural Uganda.Journal of Global Health 10, no. 1 (June 2020): 010412. https://doi.org/10.7189/jogh.10.010412.
Smith ML, Kakuhikire B, Baguma C, Rasmussen JD, Bangsberg DR, Tsai AC. Do household asset wealth measurements depend on who is surveyed? Asset reporting concordance within multi-adult households in rural Uganda. Journal of global health. 2020 Jun;10(1):010412.
Smith, Meghan L., et al. “Do household asset wealth measurements depend on who is surveyed? Asset reporting concordance within multi-adult households in rural Uganda.Journal of Global Health, vol. 10, no. 1, June 2020, p. 010412. Epmc, doi:10.7189/jogh.10.010412.
Smith ML, Kakuhikire B, Baguma C, Rasmussen JD, Bangsberg DR, Tsai AC. Do household asset wealth measurements depend on who is surveyed? Asset reporting concordance within multi-adult households in rural Uganda. Journal of global health. 2020 Jun;10(1):010412.

Published In

Journal of global health

DOI

EISSN

2047-2986

ISSN

2047-2978

Publication Date

June 2020

Volume

10

Issue

1

Start / End Page

010412

Related Subject Headings

  • Young Adult
  • Uganda
  • Surveys and Questionnaires
  • Spouses
  • Socioeconomic Factors
  • Rural Population
  • Reproducibility of Results
  • Middle Aged
  • Male
  • Income