0033-3123
Psychometrika
1860-0980
f8dd3047ef9514e5b5fbaac9d3d5c041326b685f61d0dc5b6b5d87dad4ccea87
readcube_id
Lawley's selection theorem is applied to subpopulations derived from a parent in which the classical factor model holds for a specified set of variables. The results show that there exists an invariant factor pattern matrix that describes the regression of observed on factor variables in every subpopulation derivable by selection from the parent, given that selection does not occur directly on the observable variables and does not reduce the rank of the system. However, such a factor pattern matrix is not unique, which in turn implies that if a simple structure factor pattern matrix can be satisfactorily determined in one such subpopulation the same simple structure can be found in any subpopulation derivable by selection. The implications of these results for “parallel proportional profiles” and “factor matching” techniques are discussed.
false
1964-06
http://link.springer.com/10.1007/BF02289699
en
https://scigraph.springernature.com/explorer/license/
2019-04-11T01:55
Notes on factorial invariance
research_article
177-185
1964-06-01
articles
University of California, Berkeley
University of California, Berkeley
William
Meredith
dimensions_id
pub.1052245824
Psychology and Cognitive Sciences
10.1007/bf02289699
doi
Psychology
29
2
Springer Nature - SN SciGraph project