Digital Psychological Platform for Mass Web-Surveys

Evgeny Nikulchev, Dmitry Ilin, Anastasiya Silaeva, Pavel Kolyasnikov, Vladimir Belov, Andrey Runtov, Pavel Pushkin, Nikolay Laptev, Anna Alexeenko, Shamil Magomedov, Alexander Kosenkov, Ilya Zakharov, Victoria Ismatullina and Sergey Malykh
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Evgeny Nikulchev: Department of Intelligent information security systems, MIREA—Russian Technological University, 119454 Moscow, Russia
Dmitry Ilin: Department of Intelligent information security systems, MIREA—Russian Technological University, 119454 Moscow, Russia
Anastasiya Silaeva: Department of Intelligent information security systems, MIREA—Russian Technological University, 119454 Moscow, Russia
Pavel Kolyasnikov: Center for Interdisciplinary research in education, Russian Academy of Education, 119121 Moscow, Russia
Vladimir Belov: Department of Intelligent information security systems, MIREA—Russian Technological University, 119454 Moscow, Russia
Andrey Runtov: Center for Interdisciplinary research in education, Russian Academy of Education, 119121 Moscow, Russia
Pavel Pushkin: Department of Intelligent information security systems, MIREA—Russian Technological University, 119454 Moscow, Russia
Nikolay Laptev: Center for Interdisciplinary research in education, Russian Academy of Education, 119121 Moscow, Russia
Anna Alexeenko: Department of Intelligent information security systems, MIREA—Russian Technological University, 119454 Moscow, Russia
Shamil Magomedov: Department of Intelligent information security systems, MIREA—Russian Technological University, 119454 Moscow, Russia
Alexander Kosenkov: Department of Hospital Surgery, Sechenov Moscow State Medical University, 119992 Moscow, Russia
Ilya Zakharov: Center for Interdisciplinary research in education, Russian Academy of Education, 119121 Moscow, Russia
Victoria Ismatullina: Center for Interdisciplinary research in education, Russian Academy of Education, 119121 Moscow, Russia
Sergey Malykh: Center for Interdisciplinary research in education, Russian Academy of Education, 119121 Moscow, Russia

Data, 2020, vol. 5, issue 4, 1-16

Abstract: Web-surveys are one of the most popular forms of primary data collection used for various researches. However, mass surveys involve some challenges. It is required to consider different platforms and browsers, as well as different data transfer rates using connections in different regions of the country. Ensuring guaranteed data delivery in these conditions should determine the right choice of technologies for implementing web-surveys. The paper describes the solution to transfer a questionnaire to the client side in the form of an archive. This technological solution ensures independence from the data transfer rate and the stability of the communication connection with significant survey filling time. The conducted survey benefited the service of education psychologists under the federal Ministry of Education. School psychologists consciously took part in the survey, realizing the importance of their opinion for organizing and improving their professional activities. The desire to answer open-ended questions in detail created a part of the answers in the dataset, where there were several sentences about different aspects of professional activity. An important challenge of the problem is the Russian language, for which there are not as many tools as for the languages more widespread in the world. The survey involved 20,443 school psychologists from all regions of the Russian Federation, both from urban and rural areas. The answers did not contain spam, runaround answers, and so on as evidenced by the average response time. For the surveys, an authoring development tool DigitalPsyTools.ru was used.

Keywords: mass web-surveys; LDA; text preprocessing; open questions (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
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