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Arkistoitu opetusohjelma 2015–2016
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
QSR04/NAM-VII Statistical Analysis for social science 5 ECTS
Periods
Period I Period II Period II Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Master's Degree Programme in Quantitative Social Research
North American Studies
School of Social Sciences and Humanities

Learning outcomes

The course is designed to teach students how to analyze data using the Statistical Package for the Social Sciences (SPSS). The main idea behind the course is to teach how one can test a theory or a hypothesis using the proper statistical method. Students who want to use statistics in their thesis or find a job as a data/research/quantitative analyst may find this course useful.

General description

The course mainly focuses on multivariate methods of data analysis. By the term multivariate methods we mean those techniques that are used to analyze data with more than one variable. Each lecture is divided in two parts. The first part teaches the theory behind a statistical test. We use fun and real-life examples to make the teaching of the theory as pleasant as possible. The second part takes place in a LAB where students will practice working with survey data using SPSS. Upon completion of the course students will know how to use descriptive statistics to analyze their data and also to conduct different types of statistical analysis e.g. correlations, simple and multiple linear regressions, regressions with dummies, regressions for categorical response variable etc. No prior knowledge in data analysis or SPSS is needed to successfully complete this course.  

Modes of Study: Participation and a final exam divided in two parts. In the first part, students will have to take a multiple choice test. In the second part, students will have to perform an analysis using SPSS.   

 

Enrolment for University Studies

Enrolment time has expired

Teachers

Jani-Petri Laamanen, Teacher responsible
Jani-Petri.Laamanen[ät]uta.fi
Allan Seuri, Teacher responsible

Teaching

14-Jan-2016 – 25-Feb-2016
Lectures
Exercises
Thu 14-Jan-2016 - 25-Feb-2016 weekly at 14-17, Computer class room: PinniB ML40, 25.2. class will be 14-16

Study materials

Slides, internet sources, class notes.

Further information

Course in North American Studies: NAM-VII Methodology