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The article discusses the paper on causal inference and survey inference in nonprobability sampling by author Mercer et al. in the issue, commenting on variables in the paper's research and its total survey error (TSE) framework. Other topics, including bias in research, probability sampling, total...

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Published in:Public Opinion Quarterly Vol. 81; pp. 274 - 276
Main Authors: SUNGHEE LEE, SUZER-GURTEKIN, Z. TUBA, LEPKOWSKI, JAMES M.
Format: Article
Published: Oxford University Press / USA 2017 Supplement
Subjects:
Online Access:View this record in EBSCOhost
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        10.1093/poq/nfw093
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          SUNGHEE LEE
          SUZER-GURTEKIN, Z. TUBA
          LEPKOWSKI, JAMES M.
        affil: Institute for Social Research, University of Michigan
      su:
        Nonprobability sampling
        Questionnaire design
        Inferential statistics
        Causation (Philosophy)
        Research bias
      sug:
        subj:
          Nonprobability sampling
          Questionnaire design
          Inferential statistics
          Causation (Philosophy)
          Research bias
      ab: The article discusses the paper on causal inference and survey inference in nonprobability sampling by author Mercer et al. in the issue, commenting on variables in the paper's research and its total survey error (TSE) framework. Other topics, including bias in research, probability sampling, total survey error (TSE), randomization and survey design, are discussed.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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