MFSAS Workshop: Discovering Pathways with Sequence Analysis
Event Details
- Date:
- Thursday, 16 November 2017 - Thursday, 16 November 2017
- Time:
- All Day
- Room:
- Room 201, Level 2, Cycad Building (1018)
- UQ Location:
- UQ Long Pocket Site (Long Pocket)
- URL:
- http://www.issr.uq.edu.au/methods-social-analysis-and-statistics-stream-c
- Event category(s):
Event Contact
- Name:
- Ms Cara Herington
- Phone:
- 3346 9686
- Email:
- mfsas@uq.edu.au
- Org. Unit:
- Institute for Social Science Research
Event Description
- Full Description:
- Purpose -
Sequence Analysis is a method for studying life pathways, such as occupational careers or criminal paths, which often comprise a series of activities or circumstances. This course builds on statistical knowledge to examine regularities in sequenced or ordered social phenomena that reveal insights into these pathways.
Learning objectives
On completing this module, participants will have an understanding of:
1. Statistical techniques and strategies for examining patterns in sequenced or ordered data of social phenomena.
2. Methods to describe and visualize sequence data.
3. Different approaches to sequence comparison.
4. Sequence grouping and other applications.
Who should attend, and module pre-requisites
Participants should be familiar with basic multivariate analysis techniques (e.g. linear regression, factor analysis, cluster analysis). Working knowledge of Stata© is desirable.
Topics covered
Introduction: longitudinal data and sequence analysis in the social sciences
- Motivation – sequence analysis in the social sciences
- Definitions and concepts: categorical sequences, sequence similarity, sequence alignment
Longitudinal data management and sequence description
- Longitudinal data management in Stata©
- Describing and visualizing sequences in Stata©
Sequence comparison
- Sequence comparison using optimal matching in Stata©
- Discussion of alternative dissimilarity measures for sequence comparison
- Sequence grouping
- Discussion of applications of grouped data
Directions to UQ
- Directions:
- St Lucia Campus | Gatton campus.
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