MTO Colloquium
Tuesday, November 18 at 12:45 hrs in WZ 103
dr. Dylan Molenaar (University of Amsterdam)
‘Response Mixture Modeling of Responses and Response
Times’
It can be argued that the most dominant approach to model responses
and response times is the so-called collateral information approach (e.g.,
Van der Linden, 2007; Thissen, 1983). However, within this approach, the
speed of the test taker is assumed to be constant across all test items (Van
der Linden, 2009). In ability testing, this assumption will likely be violated
if the test takers use different strategies that require different amounts of
time to apply.
In present talk a new method called response mixture modeling is
presented to account for the differential use of strategies when solving
ability test items. Response mixture modeling differs from traditional
mixture modeling in that each item response is classified into one of a fixed
number of strategies (latent classes). In traditional mixture modeling, the
full vector of responses is classified into classes.