Our Research and Study Group (RSG) is designed to substantiate and demonstrate the specific advantages of using methods for searching interaction effects in sociological studies in comparison with the traditional sociologists` approach to the analysis of data. By interaction, it is understood a combination of the values of the variables that determine the phenomenon interesting for a sociologist. Despite some methods for search these combinations of values, in research, most sociologists avoid searching them, thus, consciously or unconsciously simplifying the social reality in the models. Moreover, while remaining within the framework of classical models that are oriented toward a linear connection and do not consider interactions, the researchers are in a situation where the inherent in the method prerequisites are not adequate to the nature of the studied social phenomenon. Consequently, the results, first, are interpreted incorrectly, second, some of the conclusions remain outside the field of view of researchers. The evidence of this fact can be seen in researchers` final regression models with very low predictive power.
Our proposed methodological study is based on a secondary analysis of the data within the four thematic mini-groups headed by the project leader. In the framework of this secondary analysis, it is intended to consider and characterize the cognitive and prognostic capabilities of two broad classes of methods for searching interactions: logarithmic linear models and decision tree models. Both classes of methods are distinguished by their universality, simplicity, and accessibility.
There are at least three proofs of the need for the existence of study like that. Firstly, the results of the work of our RSG will be useful for specialists in quantitative data analysis in the social sciences and related disciplines. The developed recommendations of using methods for searching interaction effects will become a tool for a complete analysis of the nominal and ordinal variables that are so common in the social sciences and will be irreplaceable to build high-precision predictive models. Secondly, the planned scientific results will serve to eliminate one of the main reasons for the unpopularity of using these types of methods - the absence of theoretical and empirical grounds of the advantages of the use in the literature. Finally, results obtained by applying methods for searching interaction effects in specific thematic areas will be helpful to supplement the existing conclusions on relevant topics.
The Research and Study Group members were trained at the Summer School on Applied Data Analysis with Python, organized by the International Laboratory for Applied Network Analysis of the HSE
Members of the RSG will organize two sessions at the international methodological conference of the European Survey Research Association, which will be held in the capital of Croatia in July 2019.
The research of local BDSM community, the study of social determinants of film choice, the actions in social networks are following directions of researches by parsing in Research&Study group
Regular seminar of RSG was held on 24th July during the summer holidays. It was devoted to discussion about following directions of researches. The members of the group represented the first results of their investigations and discussed potential and limitations of parsing methods.
In search of multivariate associations: comparison of CHAID, log-linear analysis, and multiple correspondence analysis
Svetlana Zhuchkova has presented her graduation paper on the RSG seminar on 5th June. The paper was based on the comparison of three methods of searching for multivariate associations of categorical variables. The comparison was conducted in the paradigm of Data Mining.
Lubsana Tsydenzhapova, the student of the educational program “Applied Methods of Social Analysis of Markets”, continued a series of seminars on pre-defense of graduation master thesis. The student shared her experience of finding multivariate associations in the study of paternalistic attitudes in Post-socialist and Western European countries.
The potential of joint application of logistic regression, variance analysis, and log-linear modeling for predicting personal health assessment
During the RSG open seminar, there was a pre-defense of the master thesis of Zaruhi Simonyan, the student of the HSE master program 'Applied Methods of Social Analysis of Markets', whose scientific supervisor is Alexey Rotmistrov.
Maria Rodionova and Tamara Mkhitaryan presented the results of the search and application of interaction effects in their reports at the XII Russian Scientific Conference on the Remembrance of Yuri Levada. While on the XIX April Conference Svetlana Zhuchkova and Alexey Rotmistrov told about the research of handling missing data with CHAID.
Despite the upcoming May holidays, the seminar of the RSG, held on April 30, wasn't left without the attention of listeners. Anastasia Rodygina, invited third-year student of the Sociology Department of Faculty of Social Science, lectured about her experience of sites parsing in Python.
On Tuesday, the 17th of April, a new open seminar of the Research and Study Group (RSG) was held. On the meeting, Svetlana Zhuchkova presented the results of the research devoted to the usage of missing values in CHAID method. This report was previously successfully received by the public at the 19th April International Academic Conference on Economic and Social Development.
The Roundtable, which was held on the 11th of April during the ХIХ April International Academic Conference on economic and social development, was devoted to the discussion on the role of women in the modern technological future.