The irrelevance of distributional assumptions on reaction times in multidimensional scaling of same/different judgment tasks

Autor:	Luc Delbeke, Gerrit Storms
Rok vydání:	1992
Předmět:	Applied Mathematics media_common.quotation_subject Pareto principle Shapiro–Wilk test Goodness of fit Statistics Log-normal distribution Econometrics Probability distribution Multidimensional scaling Akaike information criterion General Psychology Normality Mathematics media_common
Zdroj:	Psychometrika. 57:599-614
ISSN:	1860-0980 0033-3123
DOI:	10.1007/bf02294422
Popis:	Takane and Sergent developed a model (MAXRT) for scaling same/different judgments and response times (RTs) simultaneously. The model assumes that RTs are distributed lognormally. Our experiment showed that the RT distribution of the judgments might be task dependent. It is shown that lognormal RTs provide a far better fit than exponential, normal, and Pareto distributed RTs (with the same means and variances), but that the final parameter estimates from the data set with lognormal RTs hardly differ from the alternatively distributed RTs. Finally, despite the robustness of the distributional assumption of the RTs with respect to the parameter estimates, it is shown that RTs have an informational value that is not contained in the same/different judgments alone.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::797b67074657254e9b1bf88fbb10c33e https://doi.org/10.1007/bf02294422 Zobrazit plný text záznamu Full text from SpringerLink