Most introductions to the techniques of statistical analysis concentrate on the often complex statistical formulae involved. Many students find these formulae daunting, yet in practice computers are increasingly used to perform the same calculations in seconds. "Quantitative data analysis for social scientists" is designed as a non-technical guide, introducing students to the most widely used computer package for analyzing quantitative data. This is the statistical package for the social sciences (SPSS), whose most recently released versions for both mainframe computers and IBM-compatible personal computers are here employed. The authors assume no previous familiarity with either statistics or computing, and take the reader step-by-step through each of the techniques for which the SPSS can be used. Specific techniques covered include - correlation, simple and multiple regression, multivariate analysis of variance and covariance and factor analysis. Each technique is illustrated by sets of data through which the reader can work, and tested again at the end of each chapter. Answers to the exercises are provided at the end of the book.
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Seller: Better World Books Ltd, Dunfermline, United Kingdom
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Seller Inventory # 522346-6
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Seller: Anybook.com, Lincoln, United Kingdom
Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pen markings In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780415026659. Seller Inventory # 9192499
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Seller: Anybook.com, Lincoln, United Kingdom
Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pencil markings In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780415026659. Seller Inventory # 9192498
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Seller: Clement Burston Books, Bowness on Windermere, United Kingdom
Trade Paperback. Condition: Very Good. his book provides social science students with a non-technical introduction to the use of statistical techniques. Seller Inventory # 024698
Seller: Greener Books, London, United Kingdom
Paperback. Condition: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books. Seller Inventory # 5133093
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Seller: Laura Books, Georgetown, SA, Australia
Soft Cover. Condition: Good. No Jacket. First Edition. clear adhesive cover, some wear to covers and cover edges, owners name front endpaper, otherwise book clean and tight Size: 8vo - over 7¾" - 9¾" tall. Seller Inventory # 010348
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Seller: Wombat's Book Nook, Yarraville, VIC, Australia
Paperback. Condition: Good. A non-technical guide, introducing social science students to the most widely used computer package for analyzing quantitative data, the Statistical Package for the Social Sciences (SPSS). Topics covered include correlation, simple and multivariate regression and factor analysis. Seller Inventory # BATCH-9780415026659-20260113210432
Seller: Wombat's Book Nook, Yarraville, VIC, Australia
Paperback. Condition: Good. This comprehensive, non-technical guide introduces social science students to the Statistical Package for the Social Sciences (SPSS), the most widely used computer package for analyzing quantitative data. Key topics covered include correlation, simple and multivariate regression, and factor analysis, making it an essential resource for developing robust data analysis skills. Offered as a paperback in good condition. Seller Inventory # SCAN-13-71016119