Linked Markov Sources: Modeling Outcome-Dependent Social Processes  

Oleh:

Elzinga, Cees H. ; Hoogendoorn, Adriaan W. ; Dijkstra, Wil

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 36 no. 01 (Aug. 2007), page 26-47.
Topik: Markov Models; Model Selection; Markov Model Fit; Survey Interview Conversations
Fulltext: SMR vol.36 no.1 p.26 Aug 2007_win.pdf (259.21KB)

Ketersediaan

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

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Isi artikel

Many social processes are adaptive in the sense that the process changes as a result of previous outcomes. Data on such processes may come in the form of categorical time series. First, the authors propose a class of Markov Source models that embody such adaptation. Second, the authors discuss new methods to evaluate the fit of such models. Third, the authors apply these models and methods to data on a social process that is a preeminent example of an adaptive process: (encoded) conversation as arises in structured interviews.

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