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- W4319302485 abstract "Four validity types evaluate the approximate truth of inferences communicated by primary research. However, current validity frameworks ignore the truthfulness of empirical inferences that are central to research-problem statements. Problem statements contrast a review of past research with other knowledge that extends, contradicts, or calls into question specific features of past research. Authors communicate empirical inferences, or quantitative judgments, about the frequency (e.g., “few,” “most”) and variability (e.g., “on the one hand,” “on the other hand”) in their reviews of existing theories, measures, samples, or results. We code a random sample of primary research articles and show that 83% of quantitative judgments in our sample are vague and do not have a transparent origin, making it difficult to assess their validity. We review validity threats of current practices. We propose that documenting the literature search, reporting how the search was coded, and quantifying the search results facilitates more precise judgments and makes their origin transparent. This practice enables research questions that are more closely tied to the existing body of knowledge and allows for more informed evaluations of the contribution of primary research articles, their design choices, and how they advance knowledge. We discuss potential limitations of our proposed framework." @default.
- W4319302485 created "2023-02-07" @default.
- W4319302485 creator A5031525431 @default.
- W4319302485 creator A5061152816 @default.
- W4319302485 creator A5069785425 @default.
- W4319302485 date "2023-02-06" @default.
- W4319302485 modified "2023-09-29" @default.
- W4319302485 title "Research-Problem Validity in Primary Research: Precision and Transparency in Characterizing Past Knowledge" @default.
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- W4319302485 doi "https://doi.org/10.1177/17456916221144990" @default.
- W4319302485 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36745743" @default.
- W4319302485 hasPublicationYear "2023" @default.
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