naa a22 4500 510776752 CHVBK 20180411083233.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.3758/s13428-013-0373-7 doi (NATIONALLICENCE)springer-10.3758/s13428-013-0373-7 Dixon Peter Department of Psychology, University of Alberta, Edmonton, Alberta, Canada aut The effective number of parameters in post hoc models [Elektronische Daten] [Peter Dixon] Although a parsimonious post hoc model may involve relatively few parameters, many other potential model parameters may, in effect, be fixed at 0 after examining the data. Because these fixed parameters could have been varied if the data had come out differently, one could argue that they should be included when assessing the complexity of the model. On the other hand, intuitively, it seems that some advantage should accrue to identifying a simple and compelling description of the data, even if it is post hoc. This problem was considered here in the context of factorial designs in which a potentially parsimonious description of the results consists of a limited set of simple effects. Monte Carlo simulations were used to establish the effective numbers of parameters for various classes of such simple, but post hoc, models. Psychonomic Society, Inc., 2013 Post hoc tests nationallicence Model selection nationallicence Monte Carlo simulation nationallicence AIC nationallicence Behavior Research Methods Springer US; http://www.springer-ny.com 45/3(2013-09-01), 604-612 45:3<604 2013 45 13428 https://doi.org/10.3758/s13428-013-0373-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.3758/s13428-013-0373-7 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Dixon Peter Department of Psychology, University of Alberta, Edmonton, Alberta, Canada aut NATIONALLICENCE 773 0- Behavior Research Methods Springer US; http://www.springer-ny.com 45/3(2013-09-01), 604-612 45:3<604 2013 45 13428 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer