Combining Scores in Multiple-Criteria Assessment Systems

By Matthew T. McBee, S. Peters, Craig Waterman. 2014

99 citations recorded by the source corpus.

Subfields: Education, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5da4695be7d048ae6ef061a76eb6d9917df3fc48

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Carolyn M. Callahan
2. Jonathan Plucker
3. S. Peters
4. E. Miller
5. Matthew T. McBee
6. Marcia Gentry
7. So Yoon Yoon
8. Aaron J. Boulton

In Management Science and Operations Research

1. Jonathan Plucker
2. Matthew T. McBee
3. S. Peters

In Statistics and Probability

1. Jonathan Plucker
2. Matthew T. McBee
3. Carolyn M. Callahan

Citations in the corpus

• The Impact of the Nomination Stage on Gifted Program Identification (2016, background): “Table 1 (taken from McBee et al., 2014) illustrates the performance of single-assessment systems at varying cutoffs and reliabilities.”
• Research on Giftedness and Gifted Education (2014, background): “However, in a compelling study by McBee, Peters, and Waterman (2014), the authors showed that common multiple measure identification policies may not have the predicted outcome of improved identification of talent among all student groups.”