R A Avner
Biographic Data
| ID | 10411343 |
|---|---|
| NAME | R A Avner |
| GIVEN NAMES | R A |
| FAMILY NAME | Avner |
| SIGNATURE | AVNER R A |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1964 |
| LATEST PUBLICATION YEAR | 1971 |
| H-INDEX | 0 |
Computer-assisted instruction
What is Correlated
Cronholm ( 1965) has given formulas for rapid computation of the Pearson r between frequencies or proportions of observations which fall into mutually exclusive and exhaustive categories on a nominal (or higher order) scale. Such an r is uncommon enough to have been mistakenly interpreted as being between nominally scaled measures. This error is avoided when the value and identification of an observation are distinguished. Let us define a basis t…
Intraclass Correlation as an Approximation to the Coefficient of Generalizability
The theory of generalizability (Cronbach, et al., 1963) regards a measure as sampled from a universe of comparable but not necessarily equivalent measures. The most suitable index of agreement would be the average of the squared correlations of the measures with the average of all measures. Since this cannot be directly determined, the intraclass coefficient is used. Comparison of the two indices for hypothetical universes shows that they agree c…
No prominent works on this page.
Intraclass Correlation as an Approximation to the Coefficient of Generalizability
The theory of generalizability (Cronbach, et al., 1963) regards a measure as sampled from a universe of comparable but not necessarily equivalent measures. The most suitable index of agreement would be the average of the squared correlations of the measures with the average of all measures. Since this cannot be directly determined, the intraclass coefficient is used. Comparison of the two indices for hypothetical universes shows that they agree c…
What is Correlated
Cronholm ( 1965) has given formulas for rapid computation of the Pearson r between frequencies or proportions of observations which fall into mutually exclusive and exhaustive categories on a nominal (or higher order) scale. Such an r is uncommon enough to have been mistakenly interpreted as being between nominally scaled measures. This error is avoided when the value and identification of an observation are distinguished. Let us define a basis t…
Computer-assisted instruction
Psychology (3 works) · Computer Science (2 works) · Multi-Criteria Decision Making (2 works) · Advanced Statistical Modeling Techniques (1 work) · Bayesian Modeling and Causal Inference (1 work) · Computer-Assisted Instruction (1 work) · Correlation (1 work) · Correlation coefficient (1 work) · Correlation ratio (1 work) · Cronbach's alpha (1 work)