Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis  

Oleh:

Stryker, Robin ; Eliason, Scott R.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 38 no. 01 (Aug. 2009), page 102-146.
Topik: Fuzzy-Set; Goodness-of-Fit; Causal Inference; Necessity; Sufficiency
Fulltext: SMR vol.38 no.1 p.102 aug 2009_win.pdf (498.17KB)

Ketersediaan

Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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In this article the authors develop goodness-of-fit tests for fuzzy-set analysis to formally access the fit between empirical information and various causal hypotheses while accounting for measurement error in membership scores. These goodness-of-fit tests, and the accompanying logic, provide a sound inferential foundation for fuzzy-set methodology. The authors also develop descriptive measures to complement these tests. Examples from Stryker and Eliason (2003) and Mahoney (2003) show goodness-of-fit tests and descriptive measures may be used to assess individual causal factors as well as conjunctions of factors. The authors show how these tools provide more information in a fuzzy-set analysis than do tests currently in use. In providing this inferential foundation, the authors also show that fuzzy-set methods (a) are no less amenable to falsificationists methods of the Neyman-Pearson type than are standard statistical techniques and (b) may be usefully applied in either an exploratory/inductive or a confirmatory/deductive research design.

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