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Showing 1 to 10 of 10 for “"ordinal variables"”.
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Comparing Dependent Correlations for Ordinal Data
… and application for analyzing categorical ordinal data have matured in statistical inferences during recent decades of development. The methods include logistic regression models, odds ratios, inferential methods by using chi-squared tests of independence and conditional independence. On …
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An investigation into statistical methods for analysing ordered categorical data.
… odds models are discussed critically. Dummy variables and scored levels are employed for the treatment of ordinal variables. The effects of these two methods of coding ordinal data, on the results of the analyses, are also compared and discussed. Methods of assessing the goodness-of-fit of …
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Modeling and Measuring Association for Ordinal Data
… estimator of common odds ratio in a K x K ordinal contingency table where the category numbers of the variables are the same. The M[superscript2] statistic with scoring systems is also introduced. From the simulation results, we figure out that the chi-square statistics do not work except …
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Cumulative Distribution Networks: Inference, Estimation and Applications of Graphical Models for Cumulative Distribution Functions
… distribution function (CDF) of many random variables, called cumulative distribution networks (CDNs). Unlike graphical models for probability density and mass functions, in a CDN, the marginal probabilities for any subset of variables are obtained by computing limits of functions in the …
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Essays on the econometrics of ordinal data
In economics, ordinal variables like general health, mental health, and happiness level play a crucial role. Ordinal data is commonly used in surveys and questionnaires due to its ordered structure. However, incorporating an ordinal outcome variable in economic studies presents challenges. The …
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The Achilles tendon : an evaluation of the healing processes occuring with chronic pathology; using a prospective comparison study of conservative treatment regimes and micro-current application
… between each interval assessment. Categorical variables were compared between the two groups using the Chi-squared test. The Mann-Whitney test was performed to assess changes in ordinal variables. The Spearman rank correlation test was used to test for correlation between age and changes in the …
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The Development of Models to Identify Relationships Between First Costs of Green Building Strategies and Technologies and Life Cycle Costs for Public Green Facilities
… The multiple regression models include dummy variables because this is a convenient way of applying a single regression equation to represent several nominal variables, which here consist of initial, operating, maintenance, and repair and replacement costs, and ordinal variables, which in this …
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The Relationship Between Parent Status and the Home Learning Environment, Self-Esteem, and Academic Achievement of Fifth- to Eighth-Grade Students from Ohio Conference Seventh-day Adventist Schools
… Seventh-day Adventists. The Spearman rho for two ordinal variables and t-test for two independent samples were used to analyze the data for this study.</p> <p>Results: There was found to be a significant difference between one- and two-parent students in one area. Two-parent students’ home …
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Asmenų, dirbančių priklausomybės ligų centruose, darbo pobūdžio ir požiūrio į pacientą vertinimas /
… logistic regression method. For a revelance for ordinal variables Spirman correlation coefficient was used. Differences between groups in an ordinal scale were evaluated with Man-Whitney test. Analysis of variance (ANOVA) was also applied, as a post hoc evaluation LSD criteria was taken. The …
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Visualising categorical data: Linguistic case studies from te Reo Māori and New Zealand English
Categorical variables are prevalent in real-world datasets across numerous domains, yet few visualisation techniques accommodate them effectively. This is especially true of datasets comprising three or more categorical variables, termed multivariate categorical data. Visualising such data is …