Feature Pattern Analysis in the Context of Other Models and Methods
Brehm, Michelle, Feger, Hubert, Psychologische Beiträge
Summary
Feature Pattern analysis is a formal research method, not a method of intervention. It describes the structure of contingencies in co-occurence data. FPA is a model for "objects by attribute" data model neither includes distributional assumption, nor an explicit error theory, nor an implicit use of similarity measures. This paper discusses similarities and differences between formal concept analysis (Formale Begriffsanalyse), Configural Frequency Analysis (KFA), Latent Class Analysis, Hierarchical Classes Analysis (HICLUS) and Prediction Analysis (Del). It briefly mentiones the foundational relationship of FPA to MDS and Unfolding.
Key words: "Object by …
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Publication information:
Article title: Feature Pattern Analysis in the Context of Other Models and Methods.
Contributors: Brehm, Michelle - Author, Feger, Hubert - Author.
Journal title: Psychologische Beiträge.
Volume: 43.
Issue: 2
Publication date: January 1, 2001.
Page number: 444+.
© PABST Science Publishers 1999.
Provided by ProQuest LLC. All Rights Reserved.
This material is protected by copyright and, with the exception of fair use, may not be further copied, distributed or transmitted in any form or by any means.
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