[Quantification and statistical analysis of ordinal scale type data in psychiatry (author's transl)].
Observational data from psychiatric patients are usually of the ordinal scale type. Therefore, in the traditional one-rating-per-symptom-and-patient-situation, the resulting score values can be analysed only by applying nonparametric statistical methods. These methods are rather inefficient when--as is usual--there are only four-point-scales for evaluating the symptoms. Moreover, non-parametric methods are not available as of yet to take into consideration the often complex structure of data from psychiatric studies. This leads to the conclusion that the quantification of ordinal scale type data would be very desirable in order that parametric statistical methods could be applied. Such a method of quantification is proposed on the basis of the audiovisual psychiatric rating technique. It is shown that the data resulting from the many-ratings-per-symptom-and-patient-situation can be subjected to parametric statistical methods. In applying the proposed method, therefore, much better use could be made of and a maximum of information could be extracted from the data in psychiatric studies.
D006801:Humans; D001523:Mental Disorders / Q000175:diagnosis*; D011569:Psychiatric Status Rating Scales; D012107:Research Design; D013223:Statistics as Topic
Quantifizierung und statistische Auswertung von Ordinalskalendaten in der Psychiatrie.