Summary
Contents
Subject index
Social work research often focuses on qualitative designs and many students believe that the quantitative research pathway is either too complicated or is beyond their grasp. This book outlines how social work students can undertake a research project from either a qualitative, quantitative or mixed methodological approach. The authors introduce key concepts in an accessible and structured manner and go on to demonstrate each of the approaches from inception of research idea, to realisation of methodological approach, to research process, to data analysis and conclusion.
: What does It All Mean? Exploring Quantitative Data Analysis
: What does It All Mean? Exploring Quantitative Data Analysis
Chapter Aims
This chapter will:
- consider a selection of quantitative data analysis techniques relevant to social work research projects;
- guide you through the inputting of data into a standardised computer package for data analysis;
- discuss the displaying of data in reports via charts, tables and histograms;
- examine a range of statistical tests commonly used in postgraduate and undergraduate social work research projects;
- focus on the importance of the concept of ‘testing of significance’.
Introduction
There are a number of different types of quantitative data analysis, including meta-analysis, secondary analysis and primary analysis. Meta-analysis is the interrogation of data from a collection of research projects wherein the statistics produced by each project are analysed collectively to ...
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