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1. Fit for one or fit for all? The normative theory of fit and the normative and distinctive decomposition of fit

   https://doi.org/10.1108/JMP-05-2023-0275  

   Lowman, Graham H; Harms, Peter D; Wood, Dustin (March 2024, Journal of Managerial Psychology)

   PurposeCentral to the fit concept is that congruence between individual and environmental attributes leads to improved outcomes. However, when discussing fit, researchers often describe congruence as alignment between distinctive or unique individual and environmental attributes. We suggest that current approaches to examining fit do not adequately account for this assumption of distinctiveness because they fail to consider normative expectations and preferences. As such, we propose an alternative theoretical and methodological approach to conceptualizing and measuring fit. Design/methodology/approachWe introduce the normative theory of fit, outline how researchers can decompose fit into distinctive and normative components and identify areas for future research. FindingsManagement researchers have largely ignored the importance of decomposing fit into distinctive and normative components. This shortcoming necessitates additional research to ensure a more accurate understanding of fit and its relationship with outcomes. Originality/valueWe provide a clarification and critical examination of a pervasive construct in the field of management by introducing the normative theory of fit, identifying areas where researchers can employ this theoretical lens and suggesting a reevaluation of the importance placed on differentiation that is traditionally employed in practice. 

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2. Goodness-of-Fit Tests on Manifolds

   https://doi.org/10.1109/TIT.2021.3050469  

   Shapiro, Alexander; Xie, Yao; Zhang, Rui (April 2021, IEEE Transactions on Information Theory)

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3. Geosilhouettes: Geographical measures of cluster fit

   https://doi.org/10.1177/2399808319875752  

   Wolf, Levi_J; Knaap, Elijah; Rey, Sergio (September 2019, Environment and Planning B: Urban Analytics and City Science)

   Regionalization, under various guises and descriptions, is a longstanding and pervasive interest of urban studies. With an increasingly large number of studies on urban place detection in language, behavior, pricing, and demography, recent critiques of longstanding regional science perspectives on place detection have focused on the arbitrariness and non-geographical nature of measures of best fit. In this paper, we develop new explicitly geographical measures of cluster fit. These hybrid spatial–social measures, called geosilhouettes, are demonstrated to capture the “core” of geographical clusters in racial data on census blocks in Brooklyn neighborhoods. These new geosilhouettes are also useful in a variety of boundary analysis and outlier detection problems. In this paper, the thinking behind geosilhouettes is presented, their mathematical form is defined, they are demonstrated, and new directions of research are discussed. 

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4. Professorial fit: perceptions of engineering postdoctoral scholars

   https://doi.org/10.1108/SGPE-07-2021-0052  

   Mendez, Sylvia L.; Cooksey, Sarah E.; Starkey, Kathryn E.; Conley, Valerie Martin (June 2022, Studies in Graduate and Postdoctoral Education)

   Purpose This study aims to explore the perceptions of a diverse set of 16 engineering postdoctoral scholars regarding their fit for the professoriate. The professoriate speaks to the body of tenured/tenure-track faculty within higher education institutions. Design/methodology/approach An intrinsic case study design was conducted to provide an in-depth understanding of the factors influencing engineering postdoctoral scholars’ perceived professorial fit using person–job fit theory. Findings As a result of inductive and deductive data analyses techniques, four themes emerged: the professoriate is perceived as a calling for those who desire to teach and mentor the upcoming generation of engineers; research autonomy in the professoriate is highly attractive; the work demands of the professoriate are contrary to the work–life balance sought; and the professoriate appears daunting due to the competitive nature of the job market and the academic environment. Originality/value This study is critical for those invested in possessing a deeper understanding of the postdoctoral career stage, its relationship to the professoriate as a career choice and broadening participation in engineering academia. 

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5. Spectral Regularized Kernel Goodness-of-Fit Tests

   Hagrass, Omar; Sriperumbudur, Bharath K; Li, Bing (October 2024, Journal of machine learning research)