Book
Проблемы подготовки данных в социологическом исследовании
Chapters
Даудрих Н. И. В кн.: Проблемы подготовки данных в социологическом исследовании. Российское общество социологов, 2012.
Added: Feb 3, 2015
Толстова Ю. Н., Воронина Н. Д. В кн.: Проблемы подготовки данных в социологическом исследовании. Российское общество социологов, 2012. С. 99-113.
Added: Mar 18, 2015

Similar publications
М.: НИУ ВШЭ, 2017.
Added: Mar 30, 2017
Даудрих Н. И. В кн.: Проблемы подготовки данных в социологическом исследовании. Российское общество социологов, 2012.
Added: Feb 3, 2015
Added: Mar 12, 2013
Кольцова Е. Ю., Маслинский К. А. Социология: методология, методы, математическое моделирование. 2013. № 36. С. 113-139.
Added: Jan 9, 2013
Гаспарян О. Т. Политическая теория и политический анализ. WP14. Высшая школа экономики, 2013
Added: Oct 1, 2013
Большаков Н. В. Мониторинг общественного мнения: Экономические и социальные перемены. 2017. Т. 139. № 3. С. 21-29.
Mixed methods research is ‘trendy’ in the Western sociological community. It became popular in recent years; however, this approach has not been conceptualized in the Russian sociological school. The paper is devoted to the activity of the «Mixed Methods» Research and Study Group (RSG) that worked at the National Research Institute Higher School of Economics in 2014—2016 and acted in fact as the first interdisciplinary platform to discuss the opportunities and perspectives of this sociological method. The author touches upon the evolution of the mixed methods strategy, the use of proper terminology, pays attention to ethical issues that the social scientists using this tool face and describes the basic results of the work of the RSG.
Added: May 19, 2017
Покровский Н. Е. Мир России: Социология, этнология. 2003. Т. 12. № 3. С. 170-176.
Added: Oct 16, 2013
Вып. 1. М.: Издательский дом ГУ-ВШЭ, 2009.
Added: Oct 27, 2012
Aistov A. Education. EDU. Высшая школа экономики, 2012. No. 5.
This research focuses on estimating the signalling role of education on the Russian labour market. Two well-known screening hypotheses are initially considered. According to first of these, education is an ideal filter of persons with low productivity: education does not increase the productivity of a person, but it does give him the possibility to signal about his innate productivity via an educational certicate. The second of these hypotheses admits that productivity actually does increase during the period of study, but nevertheless the main objective of getting an education is to acquire a signal about one's productivity. Information theory suggests that employees use education signals during the hiring processes whereby employers screen potential employees. Employers and other categories of self-employed workers are usually not screened by the labour market via their educational attainments. Comparison of the returns to education of employees vs. self-employed workers could show the difference between the returns to signals and the returns to human capital. Yet another way to understand the signals is to consider the time dynamics of the returns to education for employees staying in the same firm. This helps us to answer the question about whether the signals are valuable only during the hiring process, or whether they remain valuable during the whole experience with the firm. This research is based on the Mincerian-type earnings functions, estimated on RLMS-HSE and NOBUS data. On the basis of the available information, we cannot say that the returns to signals and human capital differ significantly in Russia. Nevertheless we can say that, for the majority of men, the return to educational signals decreases with time spent in the same firm, while we observe the opposite for women.
Added: May 15, 2012
Черных А. И. Политическая теория и политический анализ. WP14. Высшая школа экономики, 2012. № 03.
Added: May 3, 2012
Горный М. Б. Телескоп: журнал социологических и маркетинговых исследований. 2011. № 2. С. 14-24.
Added: Feb 7, 2013
Вып. 1. М.: Некоммерческая исследовательская служба «Среда», 2011.
Added: Feb 7, 2013
Edited by: А. Михайлов Вып. 14. М.: Социологический факультет МГУ, 2012.
Added: Mar 14, 2013
Added: Aug 23, 2012
Added: Dec 14, 2018
Аистов А. В., Леонова Л. А. ÐаÑÑнÑе Ð´Ð¾ÐºÐ»Ð°Ð´Ñ Ð»Ð°Ð±Ð¾ÑаÑоÑии колиÑеÑÑвенного анализа и моделиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ñкономики. P1. ÐижегоÑодÑкий Ñилиал ÐÐУ ÐШÐ, 2010. â Р1/2010/04.
Added: May 21, 2012