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Complex Samples and Regression-Based Inference: Considerations for Consumer Researchers

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  • ROBERT B. NIELSEN
  • MARTIN C. SEAY

Abstract

type="main" xml:id="joca12038-abs-0001"> This article demonstrates that researchers who treat data collected via complex sampling procedures as if they were collected via simple random sample (SRS) may draw improper inferences when estimating regression models. Using complex sample data from the 2004 panel of the Survey of Income and Program Participation (SIPP) two models—one ordinary least squares (OLS) regression and one logistic regression—were estimated using three methods: SRS with and without population weights, Taylor series linearization, and Fay's Balanced Repeated Replication (BRR). The results of the alternative models demonstrate that depending on the variables of interest, authors who fail to incorporate sample design information or fail to consider the effects of weighting may draw improper inferences from their regression models. Reasons why researchers continue to neglect complex sample-based variance are proposed and discussed, and example SAS and Stata code is offered to encourage adoption by the consumer research community.

Suggested Citation

  • Robert B. Nielsen & Martin C. Seay, 2014. "Complex Samples and Regression-Based Inference: Considerations for Consumer Researchers," Journal of Consumer Affairs, Wiley Blackwell, vol. 48(3), pages 603-619, October.
    • Handle: RePEc:bla:jconsa:v:48:y:2014:i:3:p:603-619
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    File URL: http://hdl.handle.net/10.1111/joca.12038
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    References listed on IDEAS

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    Cited by:

    1. Craig Gundersen & David R. Just & Fei Men, 2017. "Mothers' Within-Marriage Economic Prospects and Later Food Security: Does Marital Outcome Matter?," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(3), pages 682-702, November.
    2. Su Hyun Shin & Sherman D. Hanna, 2017. "Accounting for Complex Sample Designs in Analyses of the Survey of Consumer Finances," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(2), pages 433-447, July.

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