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Teaching “quantitative methods of analysis in social sciences” at university level
Author(s) -
Theodore Chadjipadelis,
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Marina Sotiroglou,
Eirini Gkouramani,
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Publication year - 2017
Language(s) - English
Resource type - Conference proceedings
DOI - 10.52041/srap.17406
Subject(s) - computer science , comprehension , meaning (existential) , mathematics education , quantitative analysis (chemistry) , statistical analysis , order (exchange) , data science , management science , psychology , engineering , mathematics , chemistry , statistics , finance , chromatography , economics , psychotherapist , programming language
This paper deals with the organization and teaching methods of the compulsory course “Quantitative Methods of Analysis in the Social Sciences” in the department of Political Sciences (A.U.TH) to postgraduate students. Various interactive teaching methods can be put in practice in order to achieve the initial teaching purposes and outcomes which include understanding the meaning of the electoral and the party system, comprehension of quantitative methods and finally the implementation of the given methods. The course’s aim is for the students to enhance data analysis capabilities and statistical reasoning applied to Social Sciences, by using a project and assigning team-based learning activities. Thus students, beyond conventional teaching methods, participate in an electoral survey, monitor elections and develop research abilities over official sources.

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