The Usefulness of Unit Weights in Creating Composite Scores
By Philip Bobko, Philip L. Roth, M. Buster. 2007
198 citations recorded by the source corpus.
Subfields: Organizational Behavior and Human Resource Management, Surgery
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In Organizational Behavior and Human Resource Management
- John Antonakis
- C. Mcintosh
- Mikko Rönkkö
- Eunseong Cho
- J. Edwards
- Irik Z. Mukhametzyanov
- Berk Ustun
- Cynthia Rudin
In Surgery
Citations in the corpus
- Learning Optimized Risk Scores (2016, methodology): “n machine learning (see e.g., ?????). The lack of a principled methodology to create risk scores is best evidenced by the number of ad hoc approaches that are used in practice (see e.g., the review ofBobko et al., 2007). Existing tools are built by combining heuristics for tting, rounding and featur”
- On the adoption of partial least squares in psychological research: Caveat emptor (2015, background): “In the event that composite-based approximations to latent variable models are actually needed, there is very little reason to use anything else than unit-weighted scales (e.g., Bobko et al., 2007; Cohen et al., 2003, pp. 97–98; Cohen, 1990; McDonald, 1996; Raju et al., 1999).”
- An Updated Guideline for Assessing Discriminant Validity (2020, background): “In this approach, the observed variables are first standardized before taking a sum or a mean; alternatively, a weighted sum or mean with 1=sxi is taken as the weights (i.e., X ¼ P i Xi=sxi ) (Bobko et al., 2007).”
- Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice (2018, background): “arrest for a domestic violence crime, (5) arrest for a sexual violence crime, and (6) arrest”
- Partial least squares path modeling: Time for some serious second thoughts (2016, methodology): “…calculating weights based on sample data can even lead to substantially worse outcomes in terms of reliability; hence the recommendation to use unit weights instead as a general-purpose solution (e.g., Bobko et al., 2007; Cohen, 1990; Cohen et al., 2003, pp. 97e98; Grice, 2001a; McDonald, 1996).”
- Specific character of objective methods for determining weights of criteria in MCDM problems: Entropy, CRITIC and SD (2021, methodology): “…classifications of methods for assessing criteria weights divides methods into three categories based on subjective, objective and integrated or combined approach to weighing (Goodwin & Wright, 1998, Bobko et al., 2007; Ginevicius & Podvezko, 2005; Jahan et al., 2012, Odu, 2019; Ali et al., 2021).”