A Simplicial Design for the Analysis of Correlational Learning Data
Bibliographic Data
| ID | 19289801 |
|---|---|
| Authors | Benjamin Fruchter (The University of Texas at Austin), Edwin A Fleishman (American Institutes for Research) |
| Year | 1967 |
| Volume | 2 |
| Issue | 1 |
| Pages | 83-88 |
| Publication date | 1967-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273176709595115 |
| PMID | 26753681 |
| OpenAlex | W1987803070 |
| Language | EN |
| Citations received | 2 |
| References cited | 3 |
The usual matrix of intercorrelations among trials in a study of the learning process produces a superdiagonal matrix with resulting factors which are uninteresting: viz, a factor for the early trials and a factor for the later trials; with perhaps also a factor for the middle trials. By introducing several independent measures of learning for each trial a more meaningful factor structure can be obtained
Machine learning · Artificial Intelligence · Computer Science · Intelligent Tutoring Systems and Adaptive Learning
| Citations per year | 0.03 |
|---|---|
| Citation span | 1968 - 1972 (5) |
| Highly cited | No |