Estimating Interval Scale Values for Survey Item Response Categories
Bibliographic Data
| ID | 7236137 |
|---|---|
| Authors | Carl Hensler, Brian Stipak |
| Year | 1979 |
| Volume | 23 |
| Issue | 3 |
| Pages | 627-627 |
| Publication date | 1979-08-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.2307/2111033 |
| OpenAlex | W2332727646 |
| Language | EN |
| Citations received | 15 |
| References cited | 9 |
Analysts of social science data often need the flexibility and power of intervallevel statistics, even though strictly interval measurement has not been achieved. In such cases, analysts should attempt to assign category values that minimize distortion of the underlying variables. This paper describes a number of methods for category value estimation. The methods include estimation from the observed frequencies based on an assumption about the underlying distribution, estimation from single or multiple criterion variables, and estimation from item text. These techniques can be easily used, and their sensible application can avoid needless measurement error and resulting statistical bias
Confidence interval · Data mining · Distortion (music · Econometrics · Estimation · Flexibility (engineering · Geography · Interval (graph theory · Interval estimation · Level of measurement · Observational error · Scale (ratio · Statistics · Value (mathematics · Computational and Text Analysis Methods · Computer Science · Engineering · Mathematics · Psychometric Methodologies and Testing · Statistical Methods and Applications
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"Comment on "The Assignment of Numbers to Rank Order Categories
Dimensions of Candidate Evaluation
| Unique citing works | 15 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 1981 - 2023 (43) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 15 |