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RESEARCH METHOD COHEN ok

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Part Five<br />

Data analysis<br />

This is an entirely new part in this edition,<br />

and comprises five chapters on data analysis, of<br />

which two are on qualitative data analysis, two<br />

are on quantitative data analysis, and one is<br />

on choosing the more suitable statistical tests.<br />

These chapters are accompanied by extensive<br />

materials and references to the companion web<br />

site, and we advise readers to go to these. The<br />

chapters on qualitative data analysis take readers<br />

from first principles to more complex issues of<br />

content analysis and grounded theory, making<br />

the point that texts – data – are multilayered<br />

and open to a variety of interpretations. We<br />

indicate in practical terms how researchers can<br />

analyse and present qualitative data, including<br />

an introduction to the principles that are the<br />

foundation to such approaches. In quantitative<br />

data we assume that researchers not only will<br />

have no experience of statistics but also may<br />

be frightened off by them! Hence we take<br />

readers by the hand from very first principles<br />

to more complex statistical processes. We take<br />

care to explain the foundations, principles and<br />

concepts underlying the statistical procedures,<br />

and deliberately avoid introducing formulae and<br />

numbers, except where they are helpful. To<br />

accompany the chapters on statistical treatments<br />

of numerical data we use SPSS analysis, and<br />

the web site includes an easy-to-use manual to<br />

introduce novice researchers to SPSS. For both<br />

the qualitative and quantitative data analysis<br />

we provide practical advice – including sample<br />

phrases and choice of words – on how to report<br />

results and findings.

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