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Comparison of methods in the analysis of dependent ordered catagorical data
Örebro University, Swedish Business School at Örebro University.
Örebro University, Swedish Business School at Örebro University.ORCID iD: 0000-0001-7210-1925
2008 (English)Report (Other academic)
Abstract [en]

Rating scales for outcome variables produce categorical data which are often ordered and measurements from rating scales are not standardized. The purpose of this study is to apply commonly used and novel methods for paired ordered categorical data to two data sets with different properties and to compare the results and the conditions for use of these models.

The two applications consist of a data set of inter-rater reliability and a data set from a follow-up evaluation of patients. Standard measures of agreement and measures of association are used. Various loglinear models for paired categorical data using properties of quasi-independence and quasi-symmetry as well as logit models with a marginal modelling approach are used. A nonparametric method for ranking and analyzing paired ordered categorical data is also used.

We show that a deeper insight when it comes to disagreement and change patterns may be reached using the nonparametric method and illustrate some problems with standard measures as well as parametric loglinear and logit models. In addition, the merits of the nonparametric method are illustrated.

Place, publisher, year, edition, pages
Örebro: Örebro university , 2008. , p. 19
Series
Working paper series, Swedish business school at Örebro, ISSN 1403-0586 ; 6
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:oru:diva-12665OAI: oai:DiVA.org:oru-12665DiVA, id: diva2:374846
Available from: 2010-12-06 Created: 2010-12-06 Last updated: 2017-10-17Bibliographically approved
In thesis
1. Some properties of measures of disagreement and disorder in paired ordinal data
Open this publication in new window or tab >>Some properties of measures of disagreement and disorder in paired ordinal data
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

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. The measure of relative rank variance is a useful measure in evaluating reliability and for evaluating change in qualitative outcome variables.

In Paper I an overview of methods used in the analysis of dependent ordinal data and a comparison of the methods regarding the assumptions, specifications, applicability, and implications for use were made. In Paper II an application, and a comparison of the results of some standard models, tests, and measures to two different research problems were made. The sampling distribution of the measure of disorder was studied both analytically and by a simulation experiment in Paper III. The asymptotic normal distribution was shown by the theory of U-statistics and the simulation experiments for finite sample sizes and various amount of disorder showed that the sampling distribution was approximately normal for sample sizes of about 40 to 60 for moderate sizes of D and for smaller sample sizes for substantial sizes of D. The sampling distribution of the relative rank variance was studied in a simulation experiment in Paper IV. The simulation experiment showed that the sampling distribution was approximately normal for sample sizes of 60-100 for moderate size of RV, and for smaller sample sizes for substantial size of RV. In Paper V a procedure for inference regarding relative rank variances from two or more samples was proposed. Pair-wise comparison by jackknife technique for variance estimation and the use of normal distribution as approximation in inference for parameters in independent samples based on the results in Paper IV were demonstrated. Moreover, an application of Kruskal-Wallis test for independent samples and Friedman’s test for dependent samples were conducted.

Place, publisher, year, edition, pages
Örebro: Örebro university, 2010. p. 38
Series
Örebro Studies in Statistics, ISSN 1651-8608 ; 4
Keywords
agreement, augmented ranks, categorical data, disorder, jackknife, paired ordinal data, rating scales, sample size, sampling distribution, simulation, U-statistics, variance
National Category
Social Sciences Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:oru:diva-12350 (URN)978-91-7668-769-7 (ISBN)
Public defence
2010-12-17, Örebro universitet, Hörsal M, Fakultetsgatan 1, Örebro, 13:15 (Swedish)
Opponent
Supervisors
Projects
Statistical methods for ordinal data
Available from: 2010-10-28 Created: 2010-10-28 Last updated: 2017-10-17Bibliographically approved

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http://www.oru.se/PageFiles/15377/wp2008-06.pdf

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Högberg, HansSvensson, Elisabeth

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Citation style
  • apa
  • harvard1
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