The Importance of Thinking Multivariately When Setting Subscale Cutoff Scores
Bibliographic Data
| ID | 20284161 |
|---|---|
| Authors | Edward Kroc (0000-0001-6576-6144, University of British Columbia, Vancouver, British Columbia, Canada, corresponding author), Oscar L Olvera Astivia (0000-0002-5744-2403, University of Washington, Seattle, Washington, USA) |
| Year | 2022 |
| Volume | 82 |
| Issue | 3 |
| Pages | 517-538 |
| Publication date | 2022-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/00131644211023569 |
| PMID | 35444337 |
| OpenAlex | W3181535716 |
| Language | EN |
| Citations received | 1 |
| References cited | 15 |
Setting cutoff scores is one of the most common practices when using scales to aid in classification purposes. This process is usually done univariately where each optimal cutoff value is decided sequentially, subscale by subscale. While it is widely known that this process necessarily reduces the probability of “passing” such a test, what is not properly recognized is that such a test loses power to meaningfully discriminate between target groups with each new subscale that is introduced. We quantify and describe this property via an analytical exposition highlighting the counterintuitive geometry implied by marginal threshold-setting in multiple dimensions. Recommendations are presented that encourage applied researchers to think jointly, rather than marginally, when setting cutoff scores to ensure an informative test
Cognitive psychology · Counterintuitive · Cutoff · Econometrics · Epistemology · Process (computing) · Property (philosophy) · Psychometrics · Statistics · Test (biology) · Value (mathematics) · Computer Science · Data Analysis with R · Imbalanced Data Classification Techniques · Mathematics · Psychology · Statistical Methods and Inference
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |