A Technique for Developing Suppression Tests
Bibliographic Data
| ID | 20283269 |
|---|---|
| Authors | Abraham S Levine (University of Illinois Urbana-Champaign, corresponding author) |
| Year | 1952 |
| Volume | 12 |
| Issue | 2 |
| Pages | 313-315 |
| Publication date | 1952-07-01 |
| 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 | 10.1177/001316445201200214 |
| OpenAlex | W1968153539 |
| Language | EN |
| Citations received | 7 |
| References cited | 3 |
EVEN though the theory of suppression tests has received some discussion (i, 2, 3, 4, 5) in the literature, such tests are almost nonexistent. This brief article proposes to point out a technique for economically developing serviceable suppression tests by changing the theoretical frame of reference from sup-pression tests to suppression items. An effective suppression test is one which measures only the non-valid variance which is present in an otherwise valid test (predictor). It will show a high correlation with the test for which it is a suppressor, but a low or no correlation with the criterion. When a battery of tests is used to predict a criterion, this type of test will enter into a composite prediction with a negative beta weight. In other words, higher scores on a sup-pression test lower the composite scores of those individuals. This serves to partial out the non-valid variance from an
Statistics · Mathematics · Psychology · Software Testing and Debugging Techniques
Healthy by Association
A new self-completion outcome measure for diabetes
China Health Related Outcomes Measures (CHROME)
Developing a questionnaire to measure the psychosocial impact of an abnormal cervical smear result and its subsequent management
Bridging a curriculum gap
Allowing for heterogeneity in the decomposition of measures of inequality in health
Some Formulae for Use With Suppressor Variables
| Citations per year | 0.1 |
|---|---|
| Citation span | 1957 - 2026 (70) |
| Highly cited | No |