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Применение выборки, направляемой респондентом в онлайн-исследованиях: методологические вызовы и исследовательские перспективы.
С. 219–234.
Savinkova Y., Moiseev S.
The possibility to use respondent-driven sampling to conduct online surveys was introduced to the scientific community seven years ago. Since that time, foreign and domestic researchers conducted a series of experiments with WebRDS. However, their results have been ambiguous. On the one hand, some authors see WebRDS as a convenient and promising research technology. On the other hand, some researchers bring attention to the difficulty of applying respondent-driven sampling and unsuccessful attempts to obtain unbiased estimates of the target population parameters. The contradiction is further escalated by broader discussion of the possibility to follow basic RDS assumptions. Therefore, this paper analyzes implementation of respondent-driven sampling in online research and summarizes results of recent methodological discussion on the development of RDS. In conclusion, the paper provides recommendations on conducting methodological studies of WebRDS
In book
М.: ООО "Онлайн маркет интеллидженс", 2016.
Popov D., Социология: методология, методы, математическое моделирование 2024 № 58 С. 130–157
The article addresses the issue of selecting an application for conducting online interviews. An attempt is made to describe the specifics of qualitative online interviews from the perspective of methodological principles that impose constraints, open opportunities, and set requirements for online interview tools. As a result of analyzing these principles, a list of parameters for ...
Added: December 19, 2024
Sergeev A., Victor Minchenkov, Aleksei Soldatov et al., , in: 2023 XVIII International Symposium Problems of Redundancy in Information and Control Systems (REDUNDANCY).: IEEE, 2023. P. 194–199.
The paper presents a complex method for automatic construction of data samples for systems of intelligent control of manual operations in industrial production. In the described systems, objects and operations are recognized using ML-methods, primarily neural networks. Their effectiveness depends on the quality and size of training data sets. At the same time, the time ...
Added: December 21, 2023
Samsonov S., Lagutin E., Gabrie M. et al., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 5178–5193.
Added: February 1, 2023
Korsunava V., Sokolov B., Мониторинг общественного мнения: Экономические и социальные перемены 2022 № 3 С. 4–27
Online surveys offer many advantages over traditional interviews, as they are low-cost, less time-consuming, and reduce interviewer effects. The latter feature is especially important since it makes online surveys an effective tool for gathering information about sensitive topics. This may be invaluable when fieldwork is conducted in contexts where one may expect strong pressure on respondents ...
Added: July 12, 2022
Tikhonov E., Sneps-Sneppe M., International Journal of Open Information Technologies 2019 Vol. 7 No. 7 P. 13–26
The article introduces the theoretical foundations of the modern method of storing, transmitting and processing signals: digital processing. It’s a way to use relatively small number of values instead of continuous real signal.
For example, when transmitting information in telephony, speech is concentrated in the bandwidth up to 4 kHz. But we need doubled frequency 8 ...
Added: April 9, 2022
Popkov Y., Popkov A., Dubnov Y. A., Automation and Remote Control 2020 Vol. 81 No. 7 P. 1286–1306
A randomized forecasting method based on the generation of ensembles of entropy-optimal forecasting trajectories is developed. The latter are generated by randomized dynamic regression models containing random parameters, measurement noises, and a random input. The probability density functions of random parameters and measurement noises are estimated using real data within the randomized machine learning procedure. ...
Added: October 31, 2020
Popkov Y., Popkov A., Dubnov Y. A., Автоматика и телемеханика 2020 № 7 С. 148–172
A randomized forecasting method based on the generation of ensembles of entropy-optimal forecasting trajectories is developed. The latter are generated by randomized dynamic regression models containing random parameters, measurement noises, and a random input. The probability density functions of random parameters and measurement noises are estimated using real data within the randomized machine learning procedure. ...
Added: October 31, 2020
Saraikin V., Вопросы статистики 2018 Т. 25 № 2 С. 73–80
This article presents the analysis of methodological framework for sample survey of private subsidiary farms in 2011-2016. The author points out main shortcomings of the sampling method and errors that they led to. The paper proposes an observation method for private sub- sidiary farms calculated on the basis of standardized revenue.
In 2009 on the basis ...
Added: October 15, 2020
Khvostov V., Utochkin I. S., Stakina Y., Perception 2019 Vol. 48 No. SI P. 126–126
We previously showed that people can discriminate multiple intermixed groups of objects based on "segmentability," large gaps between values in feature distributions forming several peaks. Here, we test whether such discrimination is based on local or global sampling. Two arrays of lines of various orientation (O) and length (L) were presented; both had identical feature ...
Added: August 12, 2019
Utochkin I. S., Khvostov V., Stakina Y., Cognition 2018 Vol. 179 P. 178–191
Although objects around us vary in a number of continuous dimensions (color, size, orientation, etc.), we tend to perceive the objects using more discrete, categorical descriptions (e.g., berries and leaves). Previously, we described howcontinuous ensemblestatistics ofsimple featuresaretransformedinto categorical classes: Thevisual system tests whether the feature distribution has one or several peaks, each representing a likely ...
Added: June 25, 2018
Davydov S. G., The Russian Journal of Communication 2017 Vol. 9 No. 3 P. 322–327
In 2016 the fourth volume in the series ‘Online research in Russia’ was published. The concept of the series remains unchanged from year to year. Editors are trying to involve the broadest possible range of authors conducting online research in Russia. The range of topics covered is quite broad. It includes survey methodologies based on ...
Added: January 16, 2018
Fedosova A. V., Volkova I., International Journal of Energy Sector Management 2018 Vol. 12 No. 1 P. 169–188
Abstract:
Purpose
This article aims to identify effects of client orientation on business models of central power generation companies.
Design/methodology/approach
Five major Russian wholesale electricity market players were selected for the analysis conducted applying A. Osterwalder and Y. Pigneur’s ‘Business Model Canvas’. To identify the changes induced by client orientation, the progress of companies’ business models was traced ...
Added: November 30, 2017
Nichols J., Linguistic Typology 2017 Vol. 21 No. 3 P. 387–456
The category of person has both inflectional and lexical aspects, and the
distinction provides a finely graduated grammatical trait, relatively stable in both
families and areas, and revealing for both typology and linguistic geography.
Inflectional behavior includes reference to speech-act roles, indexation of arguments,
discreteness from other categories such as number or gender, assignment
and/or placement in syntax, arrangement in ...
Added: November 14, 2017
Utochkin I. S., Khvostov V., Stakina Y., / Series WP BRP "PSYCHOLOGY". 2017. No. 78.
Although objects around us vary in a number of continuous dimensions (color, size, orientation, etc.), we tend to perceive the objects using more discrete, categorical descriptions. For example, in the variety of colors and shapes on a bush, we can see a set of berries and a set of leaves. Previously, we described how the ...
Added: October 16, 2017
Kolozaridi P., В кн.: Онлайн-исследования в России: тенденции и перспективы.: М.: ООО "Онлайн маркет интеллидженс", 2016. С. 417–430.
Статья представляет обзор и анализ опыта исследователей, связанный с проведением качественных интервью с помощью онлайн-инструментов (Скайп, текстовые сообщения, электронная почта). Обзор включает классификацию видов интервью, опосредованных цифровыми технологиями, и анализ подходов к оценке качества исследования. Выделяются несколько ключевых аспектов осмысления роли технологий в интервью: эффективность, этические вопросы (приватность, распределе- ние власти), проблема анонимности, различия в ...
Added: February 14, 2017