Universität Wien

200125 SE Advanced Seminar: Development and Education (2022W)

Introduction to Latent Modelling with JASP

4.00 ECTS (2.00 SWS), SPL 20 - Psychologie
Continuous assessment of course work

Vertiefungsseminare können nur fürs Pflichtmodul B verwendet werden! Eine Verwendung fürs Modul A4 Freie Fächer ist nicht möglich.
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Practical Arrangements: Due to our course size (I will accept 40 people in this course), we will not be meeting in person. The course will be offered virtually in the form of videos and quizzes on Moodle. There are dates by which you have to complete all course work, however this is a self-driven course. You are free to work through the course materials at any time from when they are posted on Moodle until 15 January 2023. Please note that the watching of lessons, completion of quizzes, and assignments on Moodle will all contribute to your final mark.

We will have weekly voluntary online Q&A sessions on Thursdays from 09h00 – 10h30. These sessions are for you to pop in at any time during the time slots and ask any questions you may have on the material. These sessions are voluntary. The links for the zoom sessions will be posted on Moodle. In addition, you can email me at any time to ask questions.

Assignments/Lessons Requirements: You have to watch every lesson on Moodle and complete every quiz. In addition, you have to submit your assignment and essay by the deadline of 30 January 2023 at 00h00.

  • Thursday 06.10. 09:00 - 10:30 Digital
  • Thursday 13.10. 09:00 - 10:30 Digital
  • Thursday 20.10. 09:00 - 10:30 Digital
  • Thursday 27.10. 09:00 - 10:30 Digital
  • Thursday 03.11. 09:00 - 10:30 Digital
  • Thursday 10.11. 09:00 - 10:30 Digital
  • Thursday 17.11. 09:00 - 10:30 Digital
  • Thursday 24.11. 09:00 - 10:30 Digital
  • Thursday 01.12. 09:00 - 10:30 Digital
  • Thursday 15.12. 09:00 - 10:30 Digital
  • Thursday 12.01. 09:00 - 10:30 Digital
  • Thursday 19.01. 09:00 - 10:30 Digital
  • Thursday 26.01. 09:00 - 10:30 Digital

Information

Aims, contents and method of the course

This course is a gentle introduction to latent modelling using JASP. We will begin by reviewing some basic methods such as correlations and regressions, and then build up to structural equation models and measurement invariance testing. The course is aimed at developing a practical understanding and will allow students to master basic and advanced models by themselves.

The following will be covered within in the course:
• Correlation and Linear Regression
• Moderation and Mediation
• Path Analysis
• Exploratory Factor Analysis
• Confirmatory Factor Analysis
• Structural Equation Models
• Invariance

On all these topics, background information will be given, but the course focuses on hands-on examples. Further, opportunity to use own data sets and to discuss them in class will be given. Specifically, students will get an in-depth understanding of the underlying statistical model.

This course emphasizes open-source methods and data. As such we will be using only JASP and R to assess data and all of our datasets will be from open repositories of data.

No prior knowledge on latent modeling is needed, however, knowledge of basic statistic concepts (descriptive statistics, correlations, basic linear regression) is needed. We will also have a quick overview of these statistical concepts in the first few videos of the course.

Assessment and permitted materials

Grade Composition
• Quizzes and exercises (on Moodle) – 20%
• Assignment – 20%
• Essay – 60%

Grades will be converted to the Austrian 1-5 system in the following way:
≥ 90% = 1
75% – 89% = 2
60% – 74% = 3
45% – 59% = 4
≤ 44% = 5

Minimum requirements and assessment criteria

Course Materials

Text Book: Kline, R. B. (2010). Principles and Practice of Structural Equation Modeling. This text is available in the library for you to reference or if you want additional information. It is not required for you to buy this book.

Required Software: JASP, which can be downloaded here: https://jasp-stats.org/. If you have a MacBook and you experience difficulties downloading JASP, please consult this guide: https://jasp-stats.org/installation-guide/

Technology Requirements: You need to have a laptop or personal computer for this course. You also need internet access to view lessons, do quizzes on Moodle and submit your assignment. Please contact me if any of this may be a problem.

Examination topics

Course Learning Objectives

1. Understand, practically implement, and interpret the results of the following statistical procedures:
a. Correlations
b. Linear regression
c. Moderation and mediation
d. Path analysis
e. Exploratory factor analysis
f. Confirmatory factor analysis
g. Structural equation models (including syntax)
h. Measurement Invariance
2. Import, manage, and analyse datasets using JASP
3. Critically analyse structural equation model use and results in published peer-reviewed work

Reading list

N/A

Association in the course directory

Last modified: Th 11.05.2023 11:27