Accession Number:

AD0701794

Title:

PARTITIONING METHODS IN LATENT CLASS ANALYSIS,

Descriptive Note:

Corporate Author:

RAND CORP SANTA MONICA CALIF

Personal Author(s):

• Madansky,Albert

Report Date:

1959-03-06

Pagination or Media Count:

32.0

Abstract:

A method of obtaining estimates of the parameters of the latent class model based on first classifying individuals into latent classes according to some rule is presented. Properties of the estimates and implications to the identifiability problem are discussed. An example of the use of the partitioning method, contrasting it with the determinantal method, is given. Author

Descriptors:

• (*PSYCHOLOGICAL TESTS
• *STATISTICAL ANALYSIS)
• PERFORMANCE(HUMAN)
• DECISION THEORY
• ANALYSIS OF VARIANCE
• SAMPLING
• CLASSIFICATION
• THEOREMS
• THESES

Subject Categories:

• Psychology
• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE