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      Should social scientists be distanced from or engaged with the people they study?

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          Abstract

          <p class="first" id="d2663105e220">This commentary focuses on two important contrasts in the behavioral sciences: ( <i>i</i>) default versus nondefault study populations, where default samples have been used disproportionately (for psychology, the default is undergraduates at major research universities), and ( <i>ii</i>) the adoption of a distant versus close (engaged) attitude toward study samples. Previous research has shown a strong correlation between these contrasts, where default samples and distant perspectives are the norm. Distancing is sometimes seen as necessary for objectivity, and an engaged orientation is sometimes criticized as biased, advocacy research, especially if the researcher shares a social group membership with the study population (e.g., a black male researcher studying black male students). The lack of diversity in study samples has been paralleled by a lack of diversity in the researchers themselves. The salience of default samples and distancing in prior research creates potential (and presumed) risk factors for engaged research with nondefault samples. However, a distant perspective poses risks as well, and particularly so for research with nondefault populations. We suggest that engaged research can usefully encourage attention to the study context and taking the perspective of study samples, both of which are good research practices. More broadly, we argue that social and educational sciences need skepticism, interestedness, and engagement, not distancing. Fostering an engaged perspective in research may also foster a more diverse population of social scientists. </p>

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          Most cited references31

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          Culture as Consensus: A Theory of Culture and Informant Accuracy

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            Pygmalion in the classroom

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              Constraints on Generality (COG): A Proposed Addition to All Empirical Papers

              Psychological scientists draw inferences about populations based on samples-of people, situations, and stimuli-from those populations. Yet, few papers identify their target populations, and even fewer justify how or why the tested samples are representative of broader populations. A cumulative science depends on accurately characterizing the generality of findings, but current publishing standards do not require authors to constrain their inferences, leaving readers to assume the broadest possible generalizations. We propose that the discussion section of all primary research articles specify Constraints on Generality (i.e., a "COG" statement) that identify and justify target populations for the reported findings. Explicitly defining the target populations will help other researchers to sample from the same populations when conducting a direct replication, and it could encourage follow-up studies that test the boundary conditions of the original finding. Universal adoption of COG statements would change publishing incentives to favor a more cumulative science.
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                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc Natl Acad Sci USA
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                November 06 2018
                November 06 2018
                November 06 2018
                November 06 2018
                : 115
                : 45
                : 11435-11441
                Article
                10.1073/pnas.1721167115
                6233104
                30397119
                fb3af6be-17ff-4c53-b0c8-9ae5d53439fe
                © 2018

                Free to read

                http://www.pnas.org/site/misc/userlicense.xhtml

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