Overview
Dive into topics pivotal for organisations using longitudinal data for research and decision-making.
This 5-day intensive course is designed to deepen the knowledge of your research team and enhance the quality and meaning of the longitudinal data you use when making crucial business decisions, including understanding:
- policy or program impacts
- changes over time
- event occurrence
- causal relationships.
The course covers the latest statistical methods and how and where to apply them, using an engaging combination of presentations, exercise-based and group activities.
The practical hands-on sessions use real-world longitudinal data from the Household, Income and Labour Dynamics in Australia survey and Growing up in Australia: The Longitudinal Study of Australian Children.
The course can be tailored for:
- in-person or online delivery
- alternative software preferences (Stata or R-Studio)
- in-house or alternative demonstration data (e.g. with your organisation’s data).
This course will only proceed if there are 6 or more participants.
For more information, download the Methods for Social Analysis and Statistics brochure.
Who should attend
- Social policy, practice and research professionals, including those from government, NGO and research organisations, who want to learn how to leverage longitudinal data to enhance knowledge, guide decision-making, and shape policy and practice.
- Previous experience with linear and logistic regression is desirable but not essential. We will revise these foundational techniques in the course. Familiarity with Stata or R Studio is also valuable but not required.
Entry requirements
There are no entry requirements or prerequisites. You can do any Methods for Social Analysis and Statistics course in any order you wish.
What you'll learn
- Understand insights and advantages that come from longitudinal data.
- Develop familiarity with data setup and preparation for longitudinal data.
- Learn how to apply advanced statistical approaches to longitudinal data using either Stata or R Studio, including panel data models, growth models, and event history analysis.
- Gain knowledge of selecting models for longitudinal data suited to your research questions and data.
- Understand the limitations and constraints of longitudinal data.
Time commitment
This is an online course that will require roughly 14 hours to complete.
- Over 2 days (9am-5pm AEST)
Assessment
Certification and accreditation
Students who successfully complete the course will receive a Certificate of Completion to verify their skills and achievements.
Facilitators
The course introduced me to an additional suite of analytical tools, which adds to my range of analytical options and will provide me with other leads when looking for patterns in data. I recommend this course to anyone interested (or needing) to determine data patterns that reflect events or characteristics over time. Useful juicy stuff!
Dr. Travis Anderson-Bond, Youth Justice, Queensland
Cost
| Applicant | Price |
|---|---|
| Standard rate | A$1,220 |
| Early bird (book 5 weeks before the course starts.) | A$1,013 |
| Groups of 3 or more (per person) | A$976 |
| UQ students | A$854 |
| Other students | A$915 |
Registration closes 7 days before the course starts.
The course will only proceed if there are 6 or more participants.
GST is included in the cost
Discounts can't be used with other discounts, offers or special promotions.
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 10 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 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
For more professional development options:
- subscribe to our training newsletter
- or ask us how we can customise our courses and offer capability training specific to your organisation.