|Elisabeth Svensson (Sweden)||email@example.com|
|Rating scales are commonly used as measurement
instruments in various kinds of questionnaires and quality of life assessments
but also in clinical trials for evaluation of outcome or functioning. The
widespread use of scales in applied research fields implies need of statistical
methods applicable to various types of studies involving ordinal response
data. There is also an ongoing development of statistical methods for analysis
of ordinal data. Hence, the users of rating scales and the statisticians
need each other. The information delay concerning methodological development
of statistical methods and lack of inter-disciplinary communication can
be bridged by means of joint courses for statisticians and users of rating
scales. The aim of the paper is to present a research course in rating scale
data analysis for applied scientists and statisticians.
The overall aim of the course is that the participants shall gain a mutual understanding of the quantitative nature of the research question, the measurement process behind the rating scale data, and of the fact that the measurement properties of ordinal data influence the choice of statistical methods of analysis. The participants shall also gain knowledge about various statistical approaches for analysis of ordinal data obtained from quality assessments, follow-up studies and parallel group designs. The course is interactive in the sense that the users of rating scales must apply the statistical methods, when appropriate, to their own studies with assistance from the participating statisticians. There are also subject specific parts in the course, a mathematical statistical part for the statisticians, and a part of problem solving and application of statistical methods to various types of rating scale assessments for the applied scientists. The educational challenge and other experiences from joint research courses in rating scale data analysis will be given.
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