Cees H. Elzinga, Adriaan W. Hoogendoorn, and Wil Dijkstra Linked Markov Sources: Modeling Outcome-Dependent Social Processes Sociological Methods & Research 2007 36: 26-47.

February 7, 2010

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, theauthors 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 thesemodels and methods to data on a social process that is a preeminent example of an adaptive process: (encoded) conversation as arises in structured interviews.

Key Words: Markov models • model selection • Markov model fit • survey interview conversations

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Multimodel Inference: Understanding AIC and BIC in Model Selection

February 7, 2010

Kenneth P. Burnham and David R. Anderson, Multimodel Inference: Understanding AIC and BIC in Model Selection, Sociological Methods & Research 2004 33: 261-304.

The model selection literature has been generally poor at reflecting the deep foundations of the Akaike information criterion (AIC) and at making appropriate comparisons to the Bayesian information criterion (BIC). There is a clear philosophy Read the rest of this entry »