720200 Specific Scientific Methods in Psychology: Data analysis using linear models

winter semester 2016/2017 | Last update: 30.06.2016 | Place course on memo list

Department:

Department of Psychology

Instructor:

assoz. Prof. Roberto Viviani, PhD, +43 512 507 56047

Course number:

720200

Title:

Specific Scientific Methods in Psychology: Data analysis using linear models

Type/hours:

VU 2

ECTS credits:

2,5

Period:

weekly

Mode of repetition:

each semester

Language of instruction:

German

Learning Outcome:

Participants acquire the competence to apply linear models to their own data and interpret the results appropriately. The emphasis is on a modern approach based on modelling data using regression. The course will cover the most common situtations and problems that arise in practice when doing quantitative research.

Participants should possess basic conpetence in statistical testing (no beginner course).

Contents:

Experimental and observational studies, linear regression and generalized linear models, repeated measurements, causal inference.

Methods:

Lecture + exercises. In the exercises (with laptop) the freely available statistical programme R will be used.

Assessment:

Exercises and final written examination.

Literature:

Gelman A, Hill J (2006). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.

Start:

see dates

Course allocation

Faculty of Psychology and Sport Science

Master's Programme Psychology according to the Curriculum 2011 (120 ECTS-Credits, 4 semesters)

Compulsory Modules (75 ECTS-Credits)

Module 1: Methodology and Philosophy of Science (10 ECTS-Credits, 6 h)

Diploma Programme Psychology according to the curriculum 2001

Second Part of Studies

Consolidation in Research Methods

Dates

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Date	Time	Location
Mon 2016-10-03	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-10-10	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-10-17	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-10-24	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-10-31	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-11-07	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-11-14	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-11-21	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-11-28	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-12-05	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2016-12-12	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2017-01-09	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2017-01-16	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2017-01-23	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free
Mon 2017-01-30	10.15 - 11.45	Hörsaal 3 Hörsaal 3	Barrier-free