Professor
Petri Nokelainen
Tampere University
|
Session |
Topic |
Date and room |
Date and room |
|
1. |
Issues
on study design |
Thu 09.02.2023 2.15-5.30 PM |
Fri 10.02.2023 2.15-5.30 PM |
|
|
|
SOC-407 |
SOC-407 |
|
2. |
Statistical methods |
Wed 22.02.2023 2.15-5.30 PM |
Thu 23.02.2023 2.15-5.30 PM |
|
|
|
14:15-15:30 SOC-210 15:30-17:30 SOC-412 |
SOC-408 |
|
3. |
Structural
equation modeling |
Thu 09.03.2023 2.15-5.30 PM |
Fri 10.03.2023 2.15-5.30 PM |
|
|
|
SOC-412 |
SOC-409 |
|
4. |
Bayesian modeling |
Thu 23.03.2023 2.15-5.30 PM |
Fri 24.03.2023 2.15-5.30 PM |
|
|
|
SOC-408 |
SOC-409 |
Session 1: Issues on study design
- Cross-sectional
and longitudinal designs
Session 2: Statistical methods (with
R
jamovi)
-
Correlational analysis: r
-
Comparing group means: t-test, analysis of
variance (ANOVA)
-
Predicting dependent variable values: linear
regression
-
Investigation of change over time: paired t-test,
repeated measures ANOVA, linear growth modeling
Session 3: Structural equation modeling (with R
lavaan)
-
Observed path analysis, latent confirmatory factor
analysis, latent path analysis
Session 4: Bayesian modeling (with R
brms)
-
Basic understanding of conducting Bayesian regression analysis (incl. understanding of the role of priors)
The main
goal of this course is to give a post graduate level introduction to
quantitative research designs and methods, structural equation modeling and Bayesian
modeling and show with selected computer exercises how to apply theoretical
knowledge into practice.
After the
course, participants will have knowledge and understanding of basic concepts of
quantitative research, improved skills of planning and implementing
quantitative research designs, basic understanding of structural equation
modeling and Bayesian modeling.
The course
includes distance learning assignments (scientific essays and computer
exercises, see "Course topics" for more information), that are
returned to the lecturer in one document (merge all assignments into
word or pdf) via email (petri.nokelainen@tuni.fi) by Monday 10.04.2023.
Each
session contains 1-3 assignments of which participants select one (1) assignment
to complete. As there are four sessions, the total number of essays or computer
exercises to be completed for this course is four.
The course
is evaluated on a scale from 0 (reject) to 5 (outstanding).
Computer exercises during the course hours (sessions 2-4) can be completed as
group work (e.g., two students in a group), but each student is expected to complete
the home assignments on his/her own (and return an individual collection of home
assignments to the lecturer complied into a single file by 10.04.2023).
The software for the course is downloadable through the following links: