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Quantitative Data Analysis with IBM SPSS 17, 18 & 19, Bryman Alan


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Цена: 51030.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 2 шт.  Склад Америка: 157 шт.  
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Автор: Bryman Alan
Название:  Quantitative Data Analysis with IBM SPSS 17, 18 & 19
ISBN: 9780415579193
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0415579198
Обложка/Формат: Paperback
Страницы: 408
Вес: 0.71 кг.
Дата издания: 12.05.2011
Язык: English
Иллюстрации: 101 tables, black and white; 141 line drawings, black and white
Размер: 174 x 245 x 22
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: A guide for social scientists
Рейтинг:
Поставляется из: Европейский союз
Описание: The authors provide a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS Statistics Version 19 for Windows.

      Старое издание
Quantitative Data Analysis with SPSS 14, 15 & 16

Автор: Bryman, Alan
Название: Quantitative Data Analysis with SPSS 14, 15 & 16
ISBN: 0415440890 ISBN-13(EAN): 9780415440899
Издательство: Неизвестно
Цена: 31180 T
Наличие на складе: Нет в наличии.
Описание: This edition has been completely updated to accommodate the needs of users of SPSS Releases 14, 15 and 16, whilst still being applicable to those using SPSS Releases 10-13. Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to statistical techniques, which includes: non-parametric tests; correlation; simple and multiple regression; analysis of variance and covariance; and, factor analysis.The authors discuss key issues facing the newcomer to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results.

In this title, each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. For the first time, the book includes a helpful glossary of key terms. The datasets used in "Quantitative Data Analysis with SPSS 14, 15 & 16" are available online; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available here free of charge to lecturers who adopt the book.



Performing Data Analysis Using IBM SPSS

Автор: Meyers Lawrence S
Название: Performing Data Analysis Using IBM SPSS
ISBN: 1118357019 ISBN-13(EAN): 9781118357019
Издательство: Wiley
Рейтинг:
Цена: 94990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS(R) Performing Data Analysis Using IBM SPSS(R) uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets.

An Introduction to Secondary Data Analysis with IBM SPSS Statis

Автор: MacInnes John
Название: An Introduction to Secondary Data Analysis with IBM SPSS Statis
ISBN: 1446285774 ISBN-13(EAN): 9781446285770
Издательство: Sage Publications
Рейтинг:
Цена: 46450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: John MacInnes takes the fear out of statistics for students, and helps to raise the standards of their quantitative methods skills, by clearly and accessibly introducing all that`s needed to know about using secondary data and working with IBM SPSS Statistics.

Spss survival manual

Автор: Pallant, Julie
Название: Spss survival manual
ISBN: 0335242391 ISBN-13(EAN): 9780335242399
Издательство: McGraw-Hill
Рейтинг:
Цена: 37740.00 T
Наличие на складе: Поставка под заказ.
Описание: ""It reads as though someone is sitting next to you conversing with you and taking you through it ... It has a reassuring tone. Julie Pallant writes in a kind and inclusive way which students appreciate."
Sue Thorpe, Lecturer in Research Methods, Department of Psychology, University of Surrey, UK.

"Its key strengths are clarity, clear English, clear explanations, and clear examples. What this book does well is to provide easy, straightforward explanations."
Martin Lea, Senior Lecturer, School of Psychological Sciences, University of Manchester, UK.

"An excellent introduction to using SPSS for data analysis... It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided."
Associate Professor George Dunbar, Department of Psychology, University of Warwick, UK.

" Julie Pallant's "SPSS Survival Manual" throws a lifeline to students and researchers grappling with this data analysis software.

In this thoroughly revised edition of her bestselling text, now covering up to version 18 of the SPSS software, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project.

From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with easy to follow step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the Non_parametric Statistics chapter. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the "SPSS Survival Manual" is THE essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.


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