G A Lienert
Biographic Data
| ID | 9252464 |
|---|---|
| NAME | G A Lienert |
| GIVEN NAMES | G A |
| FAMILY NAME | Lienert |
| SIGNATURE | LIENERT G A |
| AFFILIATIONS | Heinrich Heine University Düsseldorf |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1972 |
| LATEST PUBLICATION YEAR | 1975 |
| H-INDEX | 0 |
Configural Frequency Analysis As a Statistical Tool for Defining Types
Configural frequency analysis (CFA) is a new method for identifying types. Types are defined as patterns (configurations) of binary variables occurring more frequently than may be expected under the assumption of complete independence of the respective variables, and are tested for significance by multiple binomial tests or suitable approximations. CFA is illustrated numerically by an example. Relations to latent class analysis and to factor anal…
The G Index of Agreement in Multiple Ratings
A generalization of the G index of agreement is presented, allowing for its application in multiple ratings. The generalized coefficient is intended for use in the psychiatric clinic. An illustrative example is provided, using hypothetical data
On a Generalized G Index of Agreement
Note on Tests Concerning the G Index of Agreement
No prominent works on this page.
Note on Tests Concerning the G Index of Agreement
On a Generalized G Index of Agreement
The G Index of Agreement in Multiple Ratings
A generalization of the G index of agreement is presented, allowing for its application in multiple ratings. The generalized coefficient is intended for use in the psychiatric clinic. An illustrative example is provided, using hypothetical data
Configural Frequency Analysis As a Statistical Tool for Defining Types
Configural frequency analysis (CFA) is a new method for identifying types. Types are defined as patterns (configurations) of binary variables occurring more frequently than may be expected under the assumption of complete independence of the respective variables, and are tested for significance by multiple binomial tests or suitable approximations. CFA is illustrated numerically by an example. Relations to latent class analysis and to factor anal…
Computer Science (4 works) · Mathematics (4 works) · Psychology (4 works) · Statistics (4 works) · Econometrics (3 works) · Index (typography) (3 works) · Agreement (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Binomial (polynomial) (1 work)