MFSAS Workshop: Recognising Differences
Event Details
- Date:
- Tuesday, 10 October 2017 - Tuesday, 10 October 2017
- Time:
- 1:30 pm - 5:00 pm
- Room:
- Room 201, Level 2, Cycad Building (1018)
- UQ Location:
- UQ Long Pocket Site (Long Pocket)
- URL:
- https://www.issr.uq.edu.au/mfsas-stream
- Event category(s):
Event Contact
- Name:
- Cara Herington
- Phone:
- 3346 9686
- Email:
- mfsas@uq.edu.au
- Org. Unit:
- Institute for Social Science Research
Event Description
- Full Description:
- Purpose
To provide participants with an understanding of the concept of statistical inference and the different statistical methods available for recognising differences between groups. To provide guidelines for when different methods of analysis are applicable.
Learning objectives
On completing this module, participants will have an understanding of:
1. the difference between a sample and a population
2. the concepts of statistical inference, statistical significance, p-values and confidence intervals
3. statistical tests for recognizing differences and when they are used
4. how to interpret results from these tests
Who should attend, and module pre-requisites
This module is designed for people who need to have an understanding of the statistical tests required to undertake comparisons between groups using numerical data. This module will be beneficial for those who need to read and understand research and for those who need to conduct their own analyses.
Participants should have a basic understanding of quantitative data, including types of
variables, the concept of variability, and techniques for summarising data such as measures of central tendency (mean, median, mode) and dispersion (range, standard deviation).
Topics covered
Session 1
a) Introduction
b) Measuring differences (means, percentages, proportions)
c) Understanding statistical significance
Session 2
d) Testing for significance
III. Analyses for a categorical grouping variable and categorical outcome measure
- The Chi-square test
IV. Analyses for a two-level grouping variable and a continuous outcome measure
- The T-test
V. Analyses for a three-level grouping variable and a continuous outcome measure
- The ANOVA
Directions to UQ
- Directions:
- St Lucia Campus | Gatton campus.
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