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      “You did incredibly well!”: teachers’ inflated praise can make children from low-SES backgrounds seem less smart (but more hardworking)

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      NPJ Science of Learning
      Nature Publishing Group UK
      Human behaviour, Education

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          Abstract

          Can teachers’ inflated praise make children from low socioeconomic status (SES) backgrounds seem less smart? We conducted two preregistered experiments to address this question. We used hypothetical scenarios to ensure experimental control. An experiment with primary school teachers ( N = 106, ages 21–63) showed that when a child from a low-SES (vs. high-SES) background succeeded in school, teachers attributed this success more to hard work and delivered more inflated praise (e.g., “You did incredibly well!”) but less modest praise (e.g., “You did well!”). An experiment with primary school children ( N = 63, ages 10–13) showed that when children learned that another child received inflated praise (while an equally performing classmate received modest praise or no praise), they perceived this child as less smart but more hardworking. These studies provide converging evidence that teachers’ inflated praise, although well-intentioned, can make children from low-SES backgrounds seem less smart, thereby reinforcing negative stereotypes about these children’s academic abilities.

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          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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            Interrater reliability: the kappa statistic

            The kappa statistic is frequently used to test interrater reliability. The importance of rater reliability lies in the fact that it represents the extent to which the data collected in the study are correct representations of the variables measured. Measurement of the extent to which data collectors (raters) assign the same score to the same variable is called interrater reliability. While there have been a variety of methods to measure interrater reliability, traditionally it was measured as percent agreement, calculated as the number of agreement scores divided by the total number of scores. In 1960, Jacob Cohen critiqued use of percent agreement due to its inability to account for chance agreement. He introduced the Cohen’s kappa, developed to account for the possibility that raters actually guess on at least some variables due to uncertainty. Like most correlation statistics, the kappa can range from −1 to +1. While the kappa is one of the most commonly used statistics to test interrater reliability, it has limitations. Judgments about what level of kappa should be acceptable for health research are questioned. Cohen’s suggested interpretation may be too lenient for health related studies because it implies that a score as low as 0.41 might be acceptable. Kappa and percent agreement are compared, and levels for both kappa and percent agreement that should be demanded in healthcare studies are suggested.
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              An attributional theory of achievement motivation and emotion.

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                Author and article information

                Contributors
                r.e.schoneveld@uva.nl
                e.brummelman@uva.nl
                Journal
                NPJ Sci Learn
                NPJ Sci Learn
                NPJ Science of Learning
                Nature Publishing Group UK (London )
                2056-7936
                1 September 2023
                1 September 2023
                2023
                : 8
                : 31
                Affiliations
                GRID grid.7177.6, ISNI 0000000084992262, Research Institute of Child Development and Education, , University of Amsterdam, ; Amsterdam, The Netherlands
                Author information
                http://orcid.org/0000-0001-5679-6616
                http://orcid.org/0000-0001-7695-5135
                Article
                183
                10.1038/s41539-023-00183-w
                10474104
                37658066
                3ca039d8-45e4-4c90-9310-b4ef58c51563
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 December 2022
                : 18 August 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003986, Jacobs Foundation;
                Award ID: 2020-1362-02
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100003246, Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research);
                Award ID: VI.Vidi.211.181
                Award Recipient :
                Funded by: Hendrik Muller foundation: https://www.mullerfonds.nl/ Vreedefonds foundation: https://www.vreedefonds.nl/
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                © Springer Nature Limited 2023

                human behaviour,education
                human behaviour, education

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