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Data reduction; analysing and interpreting statistical data by A. S. C. Ehrenberg

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Published by Wiley in London, New York .
Written in English

Subjects:

  • Mathematical statistics,
  • Statistics,
  • Data reduction

Book details:

Edition Notes

Statement[by] A. S. C. Ehrenberg.
Classifications
LC ClassificationsQA276 .E34
The Physical Object
Paginationxvii, 391 p.
Number of Pages391
ID Numbers
Open LibraryOL5043898M
ISBN 100471233994, 0471233986
LC Control Number74003724

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3), which allows one to generate simulated data sets with known properties. These can then be used as input to test the various statistical techniques. Thanks are due above all to Sonke Adlung of Oxford University Press for encouraging me to write this book as well as . Qualitative data coding. Step 2: Identifying themes, patterns and quantitative methods, in qualitative data analysis there are no universally applicable techniques that can be applied to generate ical and critical thinking skills of researcher plays significant role in data analysis in qualitative studies. Collecting and analyzing data helps you see whether your intervention brought about the desired results The term “significance” has a specific meaning when you’re discussing statistics. The level of significance of a statistical result is the level of confidence you can have in the answer you get. Once you have collected quantitative data, you will have a lot of numbers. It’s now time to carry out some statistical analysis to make sense of, and draw some inferences from, your data. There is a wide range of possible techniques that you can use. This page provides a brief summary of some of the most common techniques for summarising your.