Methodology of Research into Interpersonal Relationships (with workshop) PROF. MARGHERITA LANZ COURSE AIMS The course will present methodological problem areas connected to research on interpersonal relationships. Through the processes of planning research, will be particularly highlighted the different choices that the researcher must operate at every stage of planning starting from the definition of interpersonal relationships. Specifically, the various stages linked to the putting into operation of the theoretical constructs. (Individual, dyadic and group) will be analyzed and some techniques for statistical analysis of quantitative data will be shown. The techniques of data analysis will be introduced in theory at lectures and will then be implemented during the workshops, through software for data analysis and by using the database suggested by the lecturer and by the workshop tutor. The aim of the course is to learn skills (theoretical and practical) for planning and implementing relational research. The methodology of basic research and psychometric statistics are considered to be the basic knowledge to be learnt. COURSE CONTENT The following topics will be covered during the course: – The meaning of research into interpersonal relationships. – Problem areas linked to the measurement of relational constructs. – The construction of measurement tools. – How to analyse the structure of the measurement tools: factorial analysis. – How to process relational data: building a second order points system and analysis techniques. – The statistical significance and the practical and clinical significance. – Interpretation of dyadic points and shared variance. – Analysis of the cause and effect link: from correlation to regression. – How to assess the differences among groups: the models of variance analysis. READING LIST Information on the reading list related to the course topics will be published on the lecturer’s webpage. For the workshop: C. BARBARANELLI, Analisi dei dati con SPSS: le analisi multivariate. LED, 2006. Further information on the reading list will be given during the course. Lecture notes and slides. TEACHING METHOD The teaching will be organised into three different modules: 40 hours of lectures in the lecture room; 10 hours of practical exercises during the lecture hours on the output of statistical analysis; 20 workshop hours, divided into 5 meetings. The workshops will be held on Friday mornings on dates that will be given at the beginning of the course. It is essential that attendance at the workshop is backed up by attendance at lectures during which the subjects to be studied will be covered from a theoretical perspective. The practical exercises and the teaching in the workshop will allow students to have practical experience of the contents presented during the lectures in the lecture room. ASSESSMENT METHOD The examination will consist of three tests: 1. A written test 2. A workshop test 3. An oral test The three tests will all be held on the same day. It will not be possible to subdivide the examination. NOTES Further information can be found on the lecturer's webpage at http://docenti.unicatt.it/web/searchByName.do?language=ENG or on the Faculty notice board.