Introduction to Data Analysis 1
Date:
05/06/2017
Organised by:
University of Manchester
Presenter:
Jen Prattley
Level:
Entry (no or almost no prior knowledge)
Contact:
Michelle Kelly
cmist-courses@manchester.ac.uk
0161 275 4579
Map:
View in Google Maps (M13 9PL)
Venue:
The University of Manchester
Humanities Bridgeford Street Building
Description:
Outline
This course provides an introduction to the theory and methods of quantitative data analysis, focussing on the social survey. It has an emphasis on hands-on learning, with a series of practical sessions using a statistical software package such as SPSS to explore the British Social Attitudes Survey Dataset.
Objectives
The course will:
- Introduce participants to survey data as a key quantitative resource for social science research;
- Introduce the structure and properties of survey data and consider the process by which variables in a dataset are derived;
- Explain the distinction between interval and discrete variables;
- Consider strategies for exploratory data analysis including methods for describing and summarising variable distributions;
- Provide participants with a conceptual understanding of the stages involved in exploring the relationship between variables;
- Provide essential skills of data manipulation including selecting sub-sets and recoding;
- Introduce the visual representation of variables in scatter graphs, bar charts and histograms.
Cost:
£195 (£140 for those from educational, government and charitable institutions).
Website and registration:
http://www.cmist.manchester.ac.uk/study/short/introductory/intro-to-data-analysis-1/
Region:
North West
Keywords:
Quantitative Data Handling and Data Analysis, Spss , survey data , exploratory data analysis
Related publications and presentations:
Quantitative Data Handling and Data Analysis