Binary and Ordinal Data Analysis in Economics: Modeling and Estimation

2013 ◽  
pp. 123-150
Author(s):  
Ivan Jeliazkov ◽  
Mohammad Arshad Rahman
Keyword(s):  
Data Analysis ◽  
Ordinal Data ◽  
Ordinal Data Analysis

Consistency in ordinal data analysis I

2002 ◽  
Vol 43 (1) ◽  
pp. 79-113 ◽  
Author(s):  
Gerhard Herden ◽  
Andreas Pallack
Keyword(s):  
Data Analysis ◽  
Ordinal Data ◽  
Ordinal Data Analysis

Test Scaling and Value-Added Measurement

2009 ◽  
Vol 4 (4) ◽  
pp. 351-383 ◽  
Author(s):  
Dale Ballou
Keyword(s):  
Data Analysis ◽  
Item Response Theory ◽  
Item Response ◽  
Ordinal Data ◽  
Value Added ◽  
Interval Scale ◽  
Response Theory ◽  
Metric Properties ◽  
Ordinal Data Analysis ◽  
Ordinal Methods

Conventional value-added assessment requires that achievement be reported on an interval scale. While many metrics do not have this property, application of item response theory (IRT) is said to produce interval scales. However, it is difficult to confirm that the requisite conditions are met. Even when they are, the properties of the data that make a test IRT scalable may not be the properties we seek to represent in an achievement scale, as shown by the lack of surface plausibility of many scales resulting from the application of IRT. An alternative, ordinal data analysis, is presented. It is shown that value-added estimates are sensitive to the choice of ordinal methods over conventional techniques. Value-added practitioners should ask themselves whether they are so confident of the metric properties of these scales that they are willing to attribute differences to the superiority of the latter.

ANALYSIS OF CATEGORICAL VARIABLES USING R

2019 ◽  
pp. 51-64
Keyword(s):  
Data Analysis ◽  
Categorical Data ◽  
Ordinal Data ◽  
R Package ◽  
Categorical Variables ◽  
Categorical Data Analysis

The article presents basic algorithms categorical data analysis using R package. Algorithms for the analysis of independent and non­independent nominal and ordinal data are presented.

scholarly journals Mixture models for rating data: the method of moments via Groebner bases

2017 ◽  
Vol 8 (2) ◽  
Author(s):  
Maria Iannario ◽  
Rosaria Simone
Keyword(s):  
Mixture Models ◽  
Method Of Moments ◽  
Ordinal Data ◽  
Expectation Maximization Algorithm ◽  
Parameter Estimates ◽  
Model Parameters ◽  
Groebner Bases ◽  
Rating Data ◽  
Ordinal Data Analysis ◽  
The Moment

 A recent thread of research in ordinal data analysis involves a class of mixture models that designs the responses as the combination of the two main aspects driving the decision pro- cess: a feeling and an uncertainty components. This novel paradigm has been proven flexible to account also for overdispersion. In this context, Groebner bases are exploited to estimate model parameters by implementing the method of moments. In order to strengthen the validity of the moment procedure so derived, alternatives parameter estimates are tested by means of a simulation experiment. Results show that the moment estimators are satisfactory per se, and that they significantly reduce the bias and perform more efficiently than others when they are set as starting values for the Expectation-Maximization algorithm. 

A Comparative Psycho-Sociolinguistic Overview of The Phonemic Realizations of The Letter in (Nigerian) English As A Second Language (ESL) and Received Pronunciation (RP)

2016 ◽  
Vol 2 (2) ◽  
pp. 75-85
Author(s):  
Omowumi Bode Steve Ekundayo
Keyword(s):  
Second Language ◽  
Data Analysis ◽  
Ordinal Data ◽  
Participant Observation ◽  
Spontaneous Speech ◽  
Qualitative And Quantitative ◽  
Received Pronunciation

This paper examines the articulation of the letter <Ee> in Educated Nigerian English (ENE) against the psycho-sociolinguistic background of English as a Second Language (ESL), the concepts of interference and intraference. Examples were gathered from 2005 to 2013 through unstructured interviews, participant and non-participant observation, and the recording of spontaneous speech. Methods of data analysis are qualitative and quantitative. The ordinal data are presented in percentile and frequency tables and charts and the linguistic texts are described and explained. The study established that as a result of intraference, educated Nigerians mix up the various RP realizations of the letter <e>. As the articulations examined here are institutionalized in ENE and as they have both national and international intelligibility, it is proposed that they be treated as variations that typify ESL varieties.

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