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THE RATING SCALE MODEL IN THE CONSTRUCTION OF FUZZY TOPSIS METHOD

100%
Jefmański B.
Metody Ilościowe w Badaniach Ekonomicznych
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2014
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vol. 15
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issue 2
112-124
EN
Fuzzy TOPSIS method enables linear ordering of objects characterized by linguistic variables, which values constitute expressions emerging from natural language. Crucial, however, often neglected phase of this method is a selection of the way of introducing linguistic expressions by fuzzy numbers. Therefore, in this article one suggested a modification of fuzzy TOPSIS method using Rating Scale Model (RSM) to establish triangular fuzzy numbers. A suggested method enables establishing the rank of objects on the basis of objective criteria and subjective weights expressed in the form of triangular fuzzy numbers. Usability of the suggested method was confirmed by an empirical example, concerning linear ordering of selected smartphones models.
2
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A polytomous item response theory models using R

100%
Brzezińska J.
Econometrics. Ekonometria. Advances in Applied Data Analytics
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2016
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issue 2 (52)
43-52
EN
Item response theory (IRT) is widely used in educational and psychological research to model how participants respond to test items in isolation and in bundles. Item response theory has replaced classical measurement theory as a framework for test development, scale constructions, scree reporting and test evaluation. The most popular of the item response models for multiple choice tests are the one-parameter (i. e. the Rasch model) and threeparameter models. This is the general framework for specifying the functional relationship between a respondent’s underlying latent trait level, commonly known as ability in educational testing, or the factor score in the factor analysis tradition and an item level stimulus. In this paper, arguments are offered for continuing research and applying multidimensional IRT models. The position is also taken that multi-parameter IRT models have potentially important roles to play in the advancement of measurement theory about which models to use should depend on model fit to the test data. All calculations are conducted in R available from CRAN which is a widely-used and well-known environment for statistical computing and graphics.
3
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IRT-based conjoint analysis in the optimization of banking products

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Sagan A., Rybicka A., Brzezińska J.
Econometrics. Ekonometria. Advances in Applied Data Analytics
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2017
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issue 3 (57)
47-58
EN
Conjoint measurement and analysis have a common underlying psychometric and statistical assumption concerning axioms of additivity and two-way frame of reference in preference measurement. However, whereas the former concept is widely used in the fundamental measurement of subject × object dominance structures as in IRT and Rasch measurement models, the latter is utilized in a broad family of object × object dominance structures in both compositional (i.e. Thurstone case III and V) as well as decompositional (classical conjoint experiments and BTL/alpha simulation) preference measurement models. These two traditions are rarely combined in one measurement model and research design that integrates subject × object × object measurement [Neubauer 2003]. The aim of the paper is to adopt and compare three types of preference measurement models in the area of banking products in Poland: 1. paired-comparisons and rating scale conjoint experiment, 2. IRT-based conjoint (Rasch and Birnbaum politomous models), 3. compositional Thurstone III/V models [Bockenholt 2006]. Part-worth utilities are used for product optimization and comparison across the estimated models.
4

Analiza wpływu stresorów na pracowników

100%
Zięba A.
Śląski Przegląd Statystyczny
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2012
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issue 10(16)
83-92
EN
This article presents how to use two-parametric logistic model to make a stressors analysis. In addition, there is presented how to use some statistical tests to solve a problem with correctly grouping stressors. As it turns out, statistical tests are very helpful to deepen a stressors analysis. Thanks to Mann-Whitney U Test or Chi-Squared Test, we can find the answer to the questions: is the group affiliation or type of employment contract an important factor in stressors analysis?
5
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TO IMPROVE THE EMPLOYEE ASSESSMENT PROCEDURES – DEVELOPMENT OF RATIO WITH THE USE OF IRT MODELS

88%
Zięba A.
Metody Ilościowe w Badaniach Ekonomicznych
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2017
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vol. 18
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issue 1
157-166
EN
Taking into account the trends in selecting and evaluating employees connected with the use of more and more objective tools, as well as more and more crucial human resources issues in an enterprise, it seems necessary to develop more and more innovative methods and tools. The objective of this paper is to develop a ratio to assess the employee on the basis of several traits at the same time as well as the achievement of specific targets in the company growth. Such ratios are rarely discussed in the literature, however, the analysis can provide a lot of useful information about a specific issue.
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