Module 2: Introduction to Quantitative Data Analysis

Fielding, Antony and Pillinger, Rebecca (2008) Module 2: Introduction to Quantitative Data Analysis. [Teaching Resource]

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The aim of this module is to give an overall view of some the principles of effective data analysis. The focus is on how we summarise data to uncover patterns and relationships between variables, and how these relationships can begin to explain the values of the variables that we observe. Some key statistical vocabulary is introduced and concepts are illustrated by example. You will learn about the following: • Ways of summarising the shape and pattern of the values of a single variable, at different levels of measurement. • Understanding the role of variability in comparative analysis and the study of relationships. • The elaboration of relationships, the importance of control variables, and the concepts of confounding, suppression and interaction. • The essential parts of a statistical model: pattern and residual variation. • Key concepts in inference from samples.

Item Type:Teaching Resource
Subjects:5. Quantitative Data Handling and Data Analysis > 5.17 Quantitative Approaches (other)
ID Code:1962
Deposited By: LEMMA user
Deposited On:04 Dec 2011 15:13
Last Modified:04 Dec 2011 15:13

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