MAE4110 – Measurement Models

Schedule, syllabus and examination date

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Course content

In this course you will get acquainted with the fundamental theories and application of measurement models. The focus will be on using these methods for applied research. You also gain practical competency in statistical software for analyzing data.
 
The course covers the following key topics

  1. Overview of Latent Variable Models and Measurement Error
  2. Exploratory Factor Analysis
  3. Confirmatory Factor Analysis
  4. Multiple-Group Confirmatory Factor Analysis and Higher-Order models

Learning outcome

Knowledge

  • recognize the general principles of measurement models
  • understand the key assumptions that underlie these models and methods
  • understand what violations of their assumptions can mean for model selection and associated inferences

Skills

  • select, apply, and interpret the results of a measurement model that is appropriate for the data and the research question at hand
  • test key assumptions and offer possible solutions to violations
  • write up the results of an analysis in an appropriate way
  • analyze data with help of existing statistical software packages

Competencies

  • demonstrate a facility with measurement models to answer well-defined research questions
  • interpret published scientific research that uses these models and methods
  • evaluate the tenability of associated inferences and knowledge claims

Admission

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Prerequisites

Recommended previous knowledge

Prior knowledge at or equivalent to MAE4000 Data Science

Teaching

This course combines lectures, seminars and computer labs with data analysis tasks in statistical software environments.

Obligatory course components:

  • computer lab participation and completion of computer lab exercises

Examination

The exam consists of a 4 hour individual written examination covering all course material and topics.

You need to have successfully completed the obligatory course components before being allowed to sit the exam. If you do not fulfill these requirements, you must submit a written request to apply for an additional assignment prior to sitting the exam. The application must document stated reasons for absence beyond your control.

Previous exams

Digital examination

The written examination is conducted in the digital examination system Inspera. You will need to familiarize yourself with the digital examination arrangements in Inspera.

Read more about written examinations using Inspera.

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Explanations and appeals

Resit an examination

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Evaluation

In accordance with the UiO quality assurance system, the course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Periodic evaluation MAE4110 Spring 2019

Facts about this course

Credits

5

Level

Master

Teaching

Course offered for the first time in spring 2019, then every spring after that

Examination

Every spring

Exams offered for the first time in spring 2019, then every spring after that

Teaching language

English