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Record Nr. |
UNINA9910457596003321 |
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Autore |
Cramer Duncan <1948-, > |
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Titolo |
Advanced quantitative data analysis / / Duncan Cramer |
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Pubbl/distr/stampa |
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Maidenhead, Berkshire, England ; ; Philadelphia, PA : , : Open University Press, McGraw-Hill Education, $c 2003 |
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©2003 |
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ISBN |
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1-280-95113-3 |
0-335-22466-0 |
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Descrizione fisica |
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1 online resource (254 pages) : illustrations |
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Collana |
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Understanding social research |
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Disciplina |
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Soggetti |
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Social sciences |
Social sciences - Statistical methods |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (pages 245-246) and index. |
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Nota di contenuto |
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Foreword; Preface; Chapter 01; Part 01; Chapter 02; Chapter 03; Chapter 04; Part 02; Chapter 05; Chapter 06; Part 03; Chapter 07; Chapter 08; Part 04; Chapter 09; Part 05; Chapter 10; Chapter 11; Chapter 12; Part 06; Chapter 13; Part 07; Chapter 14; Glossary; References; Index |
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Sommario/riassunto |
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What do advanced statistical techniques do? When is it appropriate to use them? How are they carried out and reported? There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast, the following features characterise this book: concise and accessible introduction to calculating and interpreting advanced statistical techniques; use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of |
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the most important statistics in each technique; succinct illustration of writing up the results of these analyses; minimum of mathematical, statistical and technical notation; and, annotated bibliography and glossary of key concepts.; Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology. |
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