DOI: https://doi.org/10.32515/2413-340X.2018.33.189-198

Representation of Results of Automated Testing of Respondents of Sociodynamic Systems

Lina Makarenko

About the Authors

Lina Makarenko, Lecturer of the Department of Economic Theory, Marketing and Economic Cybernetics, Central Ukrainian National Technical University, Kropyvnytskyi, Ukraine, E-mail: makarenkolm1969@gmail.com

Abstract

The article deals with the problem of scaling primary assessments of the results of automated testing of respondents of social-dynamical systems in relation to linear scales with a fixed number of ranges, and also shows the application of scalping techniques in presenting the results of tests of respondents of sociodynamic systems. The purpose of this work is to develop a technique for both approximate and accurate linear scaling of normalized "primary" test ratings and the application of this technique in the formation of test results in the REMAK system. In the REMAK system, linear (quantile) scaling of scores can be performed immediately after passing the testing session when receiving an on-screen form for viewing the results and after passing the test by all respondents when analyzing the statistics for the test as a whole. The disadvantage of the methodology for the translation of "primary" test scores into the linear scale used in the REMAK system was to adopt the kind of distribution of "primary" assessments uniform and, as a consequence, the lack of their normalization. For small groups of respondents (up to 30 people), errors occurring at the same time did not have a significant effect on the boundaries of scale ranges. With the growth in the number of respondents using the REMAK system, there is a need for the normalization of "primary" test ratings to more accurately calculate the limits of the ranges of linear scales. As a result of the study, a method was developed for scaling primary test scores, which allows you to obtain the resulting scores in any linear scale of evaluation directly when viewing the results. When testing respondents of sociodynamic systems, a result evaluation was obtained immediately after passing the testing session by each respondent, based on the assumption of a normal distribution of 95% of respondents, or on the results of the actual distribution of respondents after passing the entire test. It should be noted that the comparison of the results of scaling with the statistical data showed a practical coincidence of the results, which confirms the reliability of the proposed method.

Keywords

automated testing, respondents, sociodynamic system, scaling of normalized assessments, methodology, statistical data

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References

Anastazi, A. (1982). Psychological testing. K.M. Gurevicha, & V.I. Lubovskogo (Ed.). (Vol. 1-2). Moscow: Pedagogika [in Russian].

Anastazi, A. & Urbina, S. (2003). Psychological testing. (7n ed.). (Trans). SPb: Piter [in Russian].

Gurevich, K.M., Akimova, M.K., & Kozlova, V.T. (1986). Statisticheskaja norma ili psihologicheskij normativ? [Statistical standard or psychological standard?]. Psihologicheskij zhurnal – A psycho. f .Vol. 7, 3, 136-142 [in Russian].

Glass, Dzh., & Stenli, Dzh. (1976). Statistical methods in pedagogy and psychology Ju.P. Adlera (Ed.). (L.I. Harusovoj, Trans). Moscow: Progress [in Russian].

Dejvison, M. (1988). Multidimensional Scaling. Methods for visualization of data. (B.C. Kamenskogo, Trans). Moskow: Finansy i statistika [in Russian].

Dronov, S.V. (2003). Mnogomernyj statisticheskij analiz [Multivariate statistical analysis]. Barnaul: Izd-vo Altajskogo gos. un-ta [in Russian].

Djuk, V.A. (1994). Komp'juternaja psihodiagnostika [Computer psychodiagnostics]. SPb: Bratstvo [in Russian].

Losik, G.V. (1992). Issledovanie vosprijatija glasnyh metodom mnogomernogo shkalirovanija [The study of the perception of vowels by the method of multidimensional scaling]. Psihologicheskij zhurnal – Psychological Journal, Vol.13, 2 [in Russian].

Makarenko, N.V. (1996). Teoreticheskie osnovy i metodiki professional'nogo psihofiziologiskogo otbora voennyh specialistov [Тhеоretical bases and methods of professional psychophysiological selection of military experts]. Kiev: NII problem voennoj mediciny [in Russian].

Naprasnik, S.V., Cimbaljuk, E.S., Shkil', A.S., & Garkusha, E.V. (2007). Tehnologija postroenija voprosov zakrytogo tipa s nulevoj verojatnost'ju ugadyvanija v sisteme testirovanija OpenTEST2 [Closed-type closed-loop questioning technology with zero probability of guessing in OpenTEST2 testing system]. Education and virtuality: 11 mezhdunarodnoj konf. UADO (2007 hod) – 11 International сonferences UADO. (pp. 346-353). Har'kov: HNURJe [in Russian].

Nasledov, A.D. (2004). Matematicheskie metody psihologicheskogo issledovanija [Mathematical methods of psychological research]. SPb.: Rech' [in Russian].

Sokolov, E.N., Izmajlov Ch.A., & Zavgorodnjaja, V.L. (1985). Mnogomernoe shkalirovanie znakovyh konfiguracij [Multidimensional scaling of sign configurations]. Voprosy psihologii – Questions of Psychology, 1, 133-139 [in Russian].

Terehina, A. Ju. (1983). Mnogomernoe shkalirovanie v psihologi [Multidimensional scaling in psychologists]. Psihologicheskij zhurnal – Psychological Journal, Vol. 4, 1, 76-88 [in Russian].

Shepard, R. N. (1980). Mnogomernoe shkalirovanie i bezrazmernoe predstavlenie razlichij [Multidimensional scaling and dimensionless representation of differences]. Psihologicheskij zhurnal – Psychological Journal, Vol. I, 4, 72-83 [in Russian].

GOST Style Citations

  1. Анастази А. Психологическое тестирование. В 2-х кн.: пер. с англ. [Текст] / А. Анатази.; под ред. К.М. Гуревича. В.И. Лубовского. – М.: Педагогика. 1982. – Кн. 1. – 320 с., Кн. 2. – 336 с.
  2. Анастази А. Психологическое тестирование [Текст] / А. Анастази, С. Урбина; 7-е международное издание. – СПб: Питер, 2003. – 688с.
  3. Гуревич К.М. Статистическая норма или психологический норматив? [Текст] / К.М. Гуревич, М.К. Акимова, В.Т. Козлова // Психологический журнал. – 1986. – Т.7, № 3. – С.136–142.
  4. Гласс Дж. Статистические методы в педагогике и психологии [Текст] / Дж. Гласс, Дж. Стенли; Общ.ред. Ю.П. Адлера; Пер. с англ. Л.И. Харусовой. – М. : Прогресс, 1976. – 496 с.
  5. Дэйвисон М. Многомерное шкалирование. Методы наглядного представления данных [Текст] / Пер. с англ. B.C. Каменского. – М.: Финансы и статистика, 1988. – 254 с.
  6. Дронов С.В. Многомерный статистический анализ [Текст] / С.В.Дронов. – Барнаул: Изд-во Алтайского гос. ун-та, 2003. – 213 с.
  7. Дюк В.А. Компьютерная психодиагностика [Текст] / В.А. Дюк. – СПб: Братство, 1994. – 364с.
  8. Лосик Г.В. Исследование восприятия гласных методом многомерного шкалирования психодиагностика [Текст] / Г.В. Лосик // Психологический журнал. – 1992. – Т.13, №2. – C. 67–75.
  9. Макаренко Н.В. Теоретические основы и методики профессионального психофизиологического отбора военных специалистов [Текст] / Н.В. Макаренко. – К.: НИИ проблем военной медицины, 1996. – 336 с.
  10. Напрасник С.В., Цимбалюк Е.С., Шкиль А.С, Гаркуша Е.В. Технология построения вопросов закрытого типа с нулевой вероятностью угадывания в системе тестирования OpenTEST2 [Текст] // Образование и виртуальность – 2007. Сборник трудов 11 международной конф. УАДО, Харьков-Ялта, 2007. – Харьков: ХНУРЭ, – 2007 . – С. 346–353.
  11. Наследов А.Д. Математические методы психологического исследования [Текст] / А.Д. Наследов. – СПб.: Речь, 2004. – 392 с.
  12. Соколов Е.Н. Многомерное шкалирование знаковых конфигураций [Текст] / Е.Н. Соколов, Ч.А.Измайлов, В.Л. Завгородняя // Вопросы психологии. – 1985. – №1. – С. 133–139.
  13. Терехина А. Ю. Многомерное шкалирование в психологи [Текст] / А. Ю. Терехина // Психологический журнал. – 1983. – Том 4, №1. – С.76–88.
  14. Шепард Р.Н. Многомерное шкалирование и безразмерное представление различий [Текст] / Р.Н. Шепард // Психологический журнал. – 1980. – Т. I, 4. – С. 72–83.
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