Es ist eine neuere Version 2022W dieser LV im Curriculum Masterstudium Joint Master's Degree Programme in Comparative Social Policy and Welfare 2023W vorhanden.
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
5 ECTS
M1 - Master 1. Jahr
Sozialwissenschaften
Liisa Haikio
2 SSt
TAU
Detailinformationen
Quellcurriculum
Masterstudium Joint Master's Degree Programme in Comparative Social Policy and Welfare 2020W
Ziele
(*)The aim of this study unit is to enable the students to reflect and use quantitative research methods. After completing the study unit, students will be able to
understand the methodology of quantitative research methods
identify different quantitative research methods
analyse data with one specified method for example regression or variance analysis.
Lehrinhalte
(*)The course gives an introduction into the methodology and practices of quantitative research, ways of analyzing quantitative data, deeper understanding about one specific quantitative research method and practices of analyzing data. This course focuses on quantitative research methods in general, and on specified methods such as regression and variance analysis.
The course has three parts:
Introduction focuses on the methodology of quantitative research. Different ways to examine the data and understand results are discussed. Students learn how the research questions and findings are related to the scientific assumptions on which the research methods are based.
Students will examine one specific, established quantitative research method (regression analysis/ variance analysis/ factor analysis etc.). The focus will be on the methodological basis and the ways of analysing the data. The selection of the covered quantitative methods will be based on the interests of the students.
The analysis of the data will be exercised. Basic rules of quantitative research method are practiced with a data by step-by-step process. The end result will be a well-grounded argument based on the analysis.
Beurteilungskriterien
(*)Active participation during the Intensive Programme and in the Moodle on-line learning environment, written assignments.
Lehrmethoden
(*)Introduction during the Intensive Programme at the beginning of the semester, afterwards distance learning methods supported by Moodle.
