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   Implementation of the multiple-measure maximum likelihood strategy classification method in R: Addendum to Glöckner (2009) and practical guide for application  
   
نویسنده jekel m. ,nicklisch a. ,glöckner a.
منبع judgment and decision making - 2010 - دوره : 5 - شماره : 1 - صفحه:54 -63
چکیده    One major challenge to behavioral decision research is to identify the cognitive processes underlying judgment and decision making. glöckner (2009) has argued that,compared to previous methods,process models can be more efficiently tested by simultaneously analyzing choices,decision times,and confidence judgments. the multiple-measure maximum likelihood (mm-ml) strategy classification method was developed for this purpose and implemented as a ready-to-use routine in stata,a commercial package for statistical data analysis. in the present article,we describe the implementation of mm-ml in r,a free package for data analysis under the gnu general public license,and we provide a practical guide to application. we also provide mm-ml as an easy-to-use r function. thus,prior knowledge of r programming is not necessary for those interested in using mm-ml.
کلیدواژه Maximum likelihood; R; Strategy classification
آدرس university of bonn,kaiser-karl-ring 9,d-53111 bonn, Germany, max planck institute for research on collective goods, Germany, max planck institute for research on collective goods, Germany
 
     
   
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