Overview
Factor analysis is a powerful statistical technique for uncovering underlying patterns or latent variables within a dataset. It is widely employed in various fields, such as psychology, sociology, economics and market research, to understand complex relationships among observed variables.
During the course, we’ll explore the concepts, methodologies, and applications of factor analysis, focusing on both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).
You’ll learn the practical steps for conducting each type of analysis, including data preparation, model specification, estimation and interpretation of results.
Overall, this introduction course sets the stage for further comprehensively exploring factor analysis. It aims to help you understand its utility in uncovering latent structures and informing decision-making processes across diverse fields of study.
Who should attend
- Researchers and evaluators
- PhD students
- Anyone working with survey data and need to underlying latent structures of variables
Entry requirements
There are no entry requirements or prerequisites.
You don’t need to complete any other Social Research Methods courses before enrolling in this course.
What you'll learn
- Understand the concept – what factor analysis is and how it is used in data analysis.
- Apply factor analysis techniques to different types of datasets.
- Learn to reduce the dimensionality of data by identifying underlying factors that explain the correlations among observed variables.
- Understand how to interpret the results of factor analysis, including factor loadings, communalities and eigenvalues.
Time commitment
This is an online course that will require roughly 7 hours to complete.
- 2 half-days (9am to 12:30pm AEST)
Assessment
Certification and accreditation
Students who successfully complete the course will receive a Certificate of Completion to verify their skills and achievements.
Facilitators
Cost
| Applicant | Price |
|---|---|
| Standard Rate | A$610 |
| Early bird (book 1 month before the course starts) | A$519 |
| Groups of 3 or more (per person) | A$488 |
| UQ students | A$427 |
| Other students | A$458 |
We're accepting expressions of interest for this course.
If sufficient numbers are reached, a date will be scheduled. Registrations will close 7 days before the course starts.
We offer discounts to not-for-profit employees and developing country participants. Contact us for details.
GST is included in the cost for participants in Australia. If you are participating from outside Australia, GST will be excluded
Discounts can't be used with other discounts, offers or special promotions.
If you’re participating outside Australia, contact us before you enrol to ensure Australian taxes are excluded from the cost.
Payment optionsWe accept credit cards (Visa/MasterCard) for payment, including corporate credit cards. We can also invoice corporate and government clients. If you want to discuss payment options, please contact our team at issr.education@uq.edu.au.
Related courses
This course is part of the Social Research Methods suite. There are 11 courses within this suite – see the other related courses below:
- Social Research Methods 1 – Gathering and Analysing Qualitative Data
- Social Research Methods 2 – Evaluating Social, Health and Human Service Programs
- Social Research Methods 3 – Social Cost-Benefit Analysis
- Social Research Methods 4 – Longitudinal Data Analysis
- Social Research Methods 5 – Data literacy, storytelling and influencing decision-makers
- Social Research Methods 6 – Survey Design
- Social Research Methods 7 – Principles of Research Design
- Social Research Methods 8 – Introduction to Quantitative Data Analysis
- Social Research Methods 9 – Regression Analysis
- Social Research Methods 10 – Data Wrangling with R: An Introduction
Contact
Institute for Social Science Research
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