Iterative Inverse Factor Analysis—A Rapid Method for Clustering Persons

1 March 1957

journal article
Published by Cambridge University Press (CUP) in Psychometrika

Vol. 22 (1) , 105-107
https://doi.org/10.1007/bf02289216

Abstract

By interchanging persons and items, iterative inverse factor analysis provides a relatively inexpensive way of clustering persons according to their patterns of response to the items. In addition to permitting the clustering of large numbers of persons, the technique enables one to determine the bases for such clustering. The items of behavior used can be heterogeneous in content and form.

Keywords

PUBLIC POLICY
STATISTICAL THEORY
RAPID METHOD
INVERSE FACTOR
CLUSTER PERSON

This publication has 3 references indexed in Scilit:

A Method for Factoring Large Numbers of Items
Psychometrika, 1953
An Empirical Verification of the Wherry-Gaylord Iterative Factor Analysis Procedure
Psychometrika, 1951
The Concept of Test and Item Reliability in Relation to Factor Pattern
Psychometrika, 1943