Search for dissertations about: "ordinal data"

Showing result 1 - 5 of 42 swedish dissertations containing the words ordinal data.

2. 1. On Rank-invariant Methods for Ordinal Data

   Author : Yishen Yang; Sune Karlsson; Elisabeth Svensson; Rolf Larsson; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Ordinal data; rank-invariance; systematic change; agreement; association; inter-rater reliability; ranking; Spearman; multi-item scale; Statistik; Statistics;

   Abstract : Data from rating scale assessments have rank-invariant properties only, which means that the data represent an ordering, but lack of standardized magnitude, inter-categorical distances, and linearity. Even though the judgments often are coded by natural numbers they are not really metric. READ MORE

4. 2. Some properties of measures of disagreement and disorder in paired ordinal data

   Author : Hans Högberg; Elisabeth Svensson; Sture Holm; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; agreement; augmented ranks; categorical data; disorder; jackknife; paired ordinal data; rating scales; sample size; sampling distribution; simulation; U-statistics; variance; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; Statistics; Statistik; Statistics; Statistik;

   Abstract : The measures studied in this thesis were a measure of disorder, D, and a measure of the individual part of the disagreement, the measure of relative rank variance, RV, proposed by Svensson in 1993. The measure of disorder is a useful measure of order consistency in paired assessments of scales with a different number of possible values. READ MORE

5. 3. Nonparametric tests for comparing two treatments by using ordinal data

   Author : Helen Wahlström; Elisabeth Svensson; Jan Lanke; Sture Holm; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Statistik; change; clinical trial; Monte Carlo; ordered categorical data; paired data; permutation test; Pitman efficiency; power; stratification; ties; visual analogue scale; Wilcoxon-Mann-Whitney statistic; statistik; Statistics; Statistik; Statistics; Statistik;

   Abstract : This thesis concerns four nonparametric tests for comparing two treatments in a randomized controlled clinical trial when the main response variable generates discrete or continuous ordinal data and measurements are made at baseline and follow-up. In the Wilcoxon-Mann-Whitney test (WMW) the baseline values are not taken into account at all, but in the other three tests both baseline and follow-up values are used. READ MORE

6. 4. Modeling Width in Spatial Optimization in Raster Space

   Author : Lindsi Seegmiller; Takeshi Shirabe; Lars Harrie; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; raster-based geographic information system; spatial optimization; region selection; width; optimal routing; raster data modeling; distortion; corridor; rasterbaserat geografiskt informationssystem; rumslig optimering; regionval; bredd; optimal routing; rasterdatamodellering; distorsion; korridor; Geoinformatik; Geoinformatics;

   Abstract : Given a grid of cells, each of which is assigned a numerical value quantifying its utility (or cost) for a certain use, a popular type of problem in geographic information science is raster-based spatial optimization. Such problems commonly seek to find a set of cells that maximizes (or minimizes) that utility (or cost) while adhering to a given set of constraints. READ MORE

7. 5. Some Aspects on Confirmatory Factor Analysis of Ordinal Variables and Generating Non-normal Data

   Author : Hao Luo; Fan Yang-Wallentin; Johan Lyhagen; Karl Jöreskog; Marie Wiberg; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; confirmatory factor analysis; ordinal variables; maximum likelihood; weighted least squares; polychoric correlation; non-normal data; Fleishman s method; Monte Carlo simulation; Statistics; Statistik; Statistics; Statistik;

   Abstract : This thesis, which consists of five papers, is concerned with various aspects of confirmatory factor analysis (CFA) of ordinal variables and the generation of non-normal data. The first paper studies the performances of different estimation methods used in CFA when ordinal data are encountered. READ MORE