Παρουσίαση/Προβολή

(110360) -  Andreas Kollias

Περιγραφή Μαθήματος

The course aims to introduce students to the methods and techniques of statistical analysis of research data using specialized statistical applications. The course is offered in English but key terms and concepts will also be translated in Greek if needed. In this course students learn in an applied way key issues and challenges of statistical data analysis in social sciences and humanities and become familiar in a practical way on essential requirements of empirical scientific research (for example, how can we encode survey data for statistical analysis -such as questionnaire data- and apply the appropriate statistical analysis using modern computer applications?). Upon successful completion of the course students will be able:
― To define the meaning and uses of measurement in the social sciences and humanities,
― Indicate what measurement scale is and distinguish different types of measurement scales
― To understand the concepts of sample and population in sampling, realize the importance of the representativeness of the sample, distinguish basic types of random sampling and understand the concepts of sample distribution and the sampling error,
― To understand the importance and use of statistical hypotheses,
― To code quantitative data for statistical analysis using specific statistical applications,
― To apply descriptive statistical data analysis,
― To become aware of the data requirements when applying statistical tests on bivariate relationships,
― To select and apply appropriate statistical test(s) to examine the relationship between two variables,
― To interpret the statistical analysis results
― To write short research reports based on the statistical results.
The course is laboratory-based and regular class attendance, although not formally required, is essential. During the semester students will be asked to deliver about 7-8 weekly projects on the basis of which they will be assessed and graded. For the successful completion students need to know how to use computers (basic level at
least), but no specific knowledge of statistics is required. Lecture notes will be distributed in digital form. See also Kollias, A. (2007). Statistics notes using SPSS. Panteion University (in Greek, http://goo.gl/OBP9LS).

Ημερομηνία δημιουργίας

Δευτέρα 23 Ιουλίου 2018