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Courses available for the doctoral candidates of other faculties

STRUCTURAL EQUATION MODELING 1

Autumn 2017
Teachers: Associate Professor Niina Junttila, Senior Researcher Eero Laakkonen
ECTS: 3
4
Objectives and learning outcomes: In this course, participants will get acquainted with what Structural Equation Modeling is, how it can be used as an analytic tool in research, and how data for Structural Equation Modeling can be collected, analysed, and reported. The doctoral candidates will perform Structural Equation Modeling analyses by working with exemplary or with the participants’ own data sets.
Contents: Lectures (4 h) and workshops (10 h). During the course, students are expected to complete the exercises provided by the teachers and write a research report.
Participants: All doctoral candidates interested in statistical analyses and/or collecting or planning to collect data suitable for SEM analysis. Basic statistical skills are required.
Maximum of 12 doctoral candidates of the Faculty of Education and 8 doctoral candidates from other faculties. 
Language: English
Completion requirements and evaluation: Active participation, exercises and research report (Fail – Pass).
Registration: https://www.webropolsurveys.com/S/1D18D7859AE0CCBF.par.
 
Timetable:   

Date​ ​Time ​Place ​Content ​Lecturers
Mon 20.11.​ ​12-16 ​Pub431​ ​Lecture/workshop ​Junttila & Laakkonen
Wed ​22.11.​ ​12-14 ​Pub431 ​Lecture/workshop Junttila & Laakkonen​
​Mon 27.11. ​12-16 ​Pub431 ​Lecture/workshop ​Junttila & Laakkonen
Thu ​30.11.​ ​12-16 ​Pub431 ​Lecture/worskhop ​Junttila & Laakkonen

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