APPLICATION OF THE RASCH METHOD OF EVALUATING LATENT VARIABLES IN MANAGEMENT AND ADMINISTRATION
DOI:
https://doi.org/10.17770/sie2018vol1.3284Keywords:
decision-making, latent variables, the organization of labour, a portfolio of securities Rasch’s modelAbstract
In the paper approaches of application of the theory of latent variables for the decision of some problems of management and management are offered. The peculiarity of this work is that mathematical solutions for solving problems are based on Rasch’s model for estimating latent variables.
The aim of this paper is to describe a general approach to estimating latent variables using Rasch’s method, based on the method of least squares, and apply this approach to some management tasks. The tasks of applying the Rasch model to the method of organizing team, to evaluating alternatives in decision-making and to the formation of a portfolio of securities were solved.
In the field of labour management, three models for organizing group tasks are considered: the formation of work teams, the case of individual performance of a group task, and the case of joint performance of group task jobs. In the field of decision theory, the model for choosing the best alternative is considered, including taking into account the weights of the criteria. We also considered the approach of obtaining estimates of alternatives using the hierarchy analysis method, in which the attractiveness vector of alternatives is computed on the basis of Rasch’s model of estimation of latent variables. In the field of financial management, a method of forming a portfolio of securities in the approach of the theory of latent variables is proposed.
It is shown that, in comparison with traditional methods, the approach based on Rasch’s model has advantages: linearity of the obtained estimates, their independence and high accuracy.
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References
Barkalov, S. A., Kireev, Yu. V., Kobelev, V.S., & Moiseev, S.I. (2014). Model assessment of the attractiveness of alternatives in the approach of Rasch model. Sistemy upravleniya i informatsionnyye tekhnologii [Control Systems and Information Technology], 3.2 (57), 209-213 (in Russian).
Barkalov, S.A., Moiseev, S.I., & Solovieva, E.V. (2014). Application of the Least Squares Method of When Estimating Latent Variables by the Rasch Method. Scientific herald of the Voronezh State University of Architecture and Civil Engineering. Ser. "Construction management", 1(6), 98-100 (in Russian).
Burenin, A. N. (2000). Market of Securities and Production Financial Instruments. Moscow: The Federal Book Trade Company (in Russian).
Engelhard, G. Jr. (2013) Invariant measurement using Rasch models in the social, behavioral, and health sciences / G. Engelhard Jr. – N.Y. : Routledge.
Linacre J.M. (2004). Estimation methods for Rasch measures. In Introduction to RasczRh measuremen, ed. Smith E.V., Jr, Smith R.M, 25-47.
Lootsma, F.A., & Schuijt, H. (1997). The Multiplicative AHP, SMART and ELECTRE in a Common Contex. J. Multi-Criteria Decision Analysis, 6.
Maslak, A. A. (2005). Measuring and comparing higher education quality between countries worldwide / A. A. Maslak [et al.] Journal of Applied Measurement, 6, 4, 432-442.
Maslak, A. A., Moiseev, S. I., & Osipov, S. A. (2015). Comparative Analysis of the Estimates of Rasch Model Parameters, Obtained by Maximum Likelihood and Least Squares. Management Problems, 5, 58-66 (in Russian).
Maslak, A. A., Moiseev, S. I., Osipov, S. A., & Pozdnyakov, S. A. (2017). A Research of Measurement Precision of Latent Variable Depending on the Range of Variation of an Indicators Set. Radio Electronics, Computer Science, Control, 1, 40-48.
Moiseev, S. I. (2015). Rasch Model Estimates of Latent Variables Based on the Method of Least Squares. Economics and Management Control Systems, 2.1 (16), 166–172 (in Russian).
Saaty, T. L. (1988). Decision Making for Leaders: The Analytical Hierarchy Process for Decisions in a Complex World, Wadsworth. Paperback, RWS.