Affiliation:
1. North-Western State Medical University named after I.I. Mechnikov
2. Saint-Petersburg state university of aerospace instrumentation
3. Military academy of communications named after Marshal of the Soviet Union S.M. Budyonny
Abstract
The article presents the results of a study aimed at the possibility of using the Rush-Fergusson model to assess the work analysis results of rehabilitation institutions by the Federal Service for Supervising the Consumer Rights Protection and Human Welfare, based on the results of testing various groups of respondents. The paper considers the features of adapting the methods of modern testing theory for assessing the results of the respondents’ survey formed in accordance with the Likert scale, which does not use physically measured parameters. Judging by the results of considering logistic function properties, the one-parameter Rasch model and the generalized Rasch–Fergusson model, the latter is chosen due to the possibility of a reasonable generalization of the results obtained on its basis. The characteristic functions of the models under consideration are demonstrated and examples of their practical application are given. The results of processing data from testing various categories of respondents to assess the work of a rehabilitation centre are presented, based on the models under study. An original interpretation of latent variables is given, taking into account the object of study under consideration. An approach is proposed to assess the judgment similarity of various categories of respondents using Pearson correlation coefficients, which confirmed the findings obtained based on applying the Rasch and Rasch-Fergusson models. The feasibility of using models of modern testing theory to assess the service quality provided by rehabilitation institutions is shown, which allows one to consider the models adapted during the study as one of the control tools used in the work of the Federal Service for Supervising the Consumer Rights Protection and Human Welfare.
Publisher
Bryansk State Technical University BSTU
Reference25 articles.
1. Баркалов С.А., Калинина Н.Ю. Моисеев С.И. и др. Модель качественного отбора кадров, основанная на модели Раша оценки латентных переменных // Вестник Южно-Уральского государственного университета. Серия: Компьютерные технологии, управление, радиоэлектроника. 2018. Т. 18, № 1. С. 83-95. DOI 10.14529/ctcr180110. EDN YOSISB., Barkalov S.A., Kalinina N.Yu., Moiseev S.I., et al. The Model of Qualitative Selection of Personnel Based on Rasch Model Estimates of Latent Variables. Bulletin of the South Ural State University. Series: Computer Technologies, Automatic Control, Radio Electronics. 2018;18(1):83-95. DOI 10.14529/ctcr180110.
2. Дворникова О.Ф., Дворников С.В., Худяков А.И. Вероятностная модель оценки стрессовых состояний // Известия Иркутского государственного университета. Серия: Психология. 2021. Т. 37. С. 88-103. DOI 10.26516/2304-1226.2021.37.88. EDN HYMUXB., Dvornikova O.F., Dvornikov S.V., Khudyakov A.I. Probabilistic Model for Stress Condition Assessment. The Bulletin of Irkutsk State University. Series: Psychology. 2021;37:88-103. DOI 10.26516/2304-1226.2021.37.88.
3. Буй Т.Л.Т. Оценка качества опросника для измерения степени преподавания развития творческой компетенции преподавателей на основе модели Раша // Kant. 2019. № 4(33). С. 216-220. EDN QXETXS., Bui T.L.T. Quality Assessment of the Questionnaire for Measuring the Degree of Teaching and the Development of Creative Competence of Teachers Based on the Rasch-Model. Kant. 2019;4(33):216-220.
4. Кобелев В.С. Анализ адекватности оценок качественных показателей на основе модели Раша оценки латентных переменных // Управление строительством. 2018. № 3(12). С. 72-78. EDN STJYAE., Kobelev V.S. Analysis of Estimates Adequacy of Qualitative Indicators Based on the Rasch Model of Latent Variables Assessment. Construction Management. 2018;3(12):72-78.
5. Дворникова О.Ф., Самохин В.Ф., Дворников С.В. Анализ мотивации выбора технического вуза первокурсниками в период пандемии // Эргодизайн. 2022. № 1(15). С. 45-50. DOI 10.30987/2658-4026-2022-1-45-50. EDN YINJPB., Dvornikova O.F., Samokhin V.F., Dvornikov S.V. Analyzing the First-Year Students’ Motivation in Choosing a Technical University During the Pandemic. Ergodesign. 2022;1(15):45-50. DOI 10.30987/2658-4026-2022-1-45-50.