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:

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

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