scholarly journals Nominal Scale

2020 ◽  
Author(s):  
Keyword(s):  
Nominal Scale

scholarly journals New Interpretations of Cohen’s Kappa

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Matthijs J. Warrens
Keyword(s):  
Weighted Kappa ◽  
Interrater Agreement ◽  
Cohen’S Kappa ◽  
Association Coefficient ◽  
Nominal Scale ◽  
Weighted Averages ◽  
Cohen's Kappa ◽  
Single Number ◽  
Research Studies

Cohen’s kappa is a widely used association coefficient for summarizing interrater agreement on a nominal scale. Kappa reduces the ratings of the two observers to a single number. With three or more categories it is more informative to summarize the ratings by category coefficients that describe the information for each category separately. Examples of category coefficients are the sensitivity or specificity of a category or the Bloch-Kraemer weighted kappa. However, in many research studies one is often only interested in a single overall number that roughly summarizes the agreement. It is shown that both the overall observed agreement and Cohen’s kappa are weighted averages of various category coefficients and thus can be used to summarize these category coefficients.

Non-parametric tests for nominal scale data

2012 ◽  
pp. 230-246
Author(s):  
Steve McKillup ◽  
Melinda Darby Dyar
Keyword(s):  
Nominal Scale ◽  
Scale Data ◽  
Non Parametric

Effect of Septal Perforations on Measures of Nasal Resistance

1997 ◽  
Vol 34 (2) ◽  
pp. 129-134 ◽  
Author(s):  
Thomas W. Guyette ◽  
Bonnie E. Smith
Keyword(s):  
Outcome Measures ◽  
Repeated Measures ◽  
Dependent Measure ◽  
Nasal Resistance ◽  
Septal Perforation ◽  
Analog Model ◽  
Repeated Measures Anova ◽  
Nominal Scale ◽  
Independent Variables ◽  
Septal Perforations

Objective The purpose of this investigation was to determine the effect of septal perforations on posterior and anterior rhinomanometric measures of nasal resistance In an analog model. Design The data were analyzed using a repeated-measures ANOVA. Nasal resistance was the dependent variable, while type of rhinomanometry, septal perforation size, and position of resistance (proximal vs. distal) were nominal scale independent variables. Participants The analog model used in this study was similar to that described by Warren and Devereux (1966), except that the nasal cavities of the model were modified to create septal perforations. Outcome Measures The main dependent measure was nasal resistance. Results An important finding of this investigation was that septal perforations resulted in large differences (> 3 cm H2O/L/sec) between posterior and anterior nasal resistance values in the bilateral proximal resistor condition. Conclusions Anterior rhinomanometry may underestimate true nasal resistance when a septal perforation Is present, because the septal perforation prevents accurate measurement of nasopharyngeal pressure. Posterior rhinomanometric measures should accurately reflect nasal resistance despite septal perforations, because the perforation does not invalidate the estimate of nasopharyngeal pressure.

Discrimination Procedures for the Analysis of Nominally Scaled Data Sets

1979 ◽  
Vol 16 (3) ◽  
pp. 387-393 ◽  
Author(s):  
Howard S. Gitlow
Keyword(s):  
Data Base ◽  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Data Sets ◽  
Scale Analysis ◽  
Nominal Scale ◽  
Dummy Variable ◽  
Consumption Data ◽  
Home Consumption

The author compares two discrimination procedures used for analyzing nominally scaled data sets, dummy variable multiple discriminant function analysis and multivariate nominal scale analysis. Both procedures are illustrated on an in-home consumption data base.

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