Module 1: Using Quantitative Data in Research

Fielding, Antony and Pillinger, Rebecca (2008) Module 1: Using Quantitative Data in Research. [Teaching Resource]

This is the latest version of this item.

Full text not available from this repository.

Official URL: http://www.bristol.ac.uk/cmm/learning/course.html

Abstract

In Module 1 we will look at quantitative research and how we collect data, in order to provide a firm foundation for the analyses covered in later modules (ultimately, of course, for multilevel modelling, introduced in Modules 4 & 5). In more detail, the aims of Module 1 are: • To give a broad overview of how research questions might be answered through quantitative analysis. Such questions as the following are explored: How does quantitative analysis relate to other methods of inquiry? Why is it required and what sorts of evidence can it supply? • To introduce the vocabulary of quantitative analysis and specify the common terminology to be used in later modules. Of particular importance is the operational definition of research concepts (how we get from real world characteristics to numbers in our data set) and how this leads to observable variables at different levels of measurement. • To introduce sources of data and concepts relating to how it may be possible to generalise results from samples of various kinds to the populations they are drawn from. • To discuss how variables are defined, what different types there are, and how this may influence how they are analysed. • To give some emphasis to certain ideas such as the nature of variability or the recognition of hierarchical units of analysis that are central to multilevel modelling.

Item Type:Teaching Resource
Subjects:5. Quantitative Data Handling and Data Analysis > 5.17 Quantitative Approaches (other)
ID Code:1961
Deposited By: LEMMA user
Deposited On:04 Dec 2011 15:10
Last Modified:04 Dec 2011 15:10

Available Versions of this Item

Repository Staff Only: item control page