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Building SPSS Graphs to Understand Data, O. Aldrich James and M. Rodriguez Hilda


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Цена: 9504.00р.
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Автор: O. Aldrich James and M. Rodriguez Hilda
Название:  Building SPSS Graphs to Understand Data
ISBN: 9781452216843
Издательство: Sage Publications
Классификация:

ISBN-10: 1452216843
Обложка/Формат: Paperback
Страницы: 392
Вес: 0.65 кг.
Дата издания: 13.06.2012
Серия: Reference/Librarianship
Язык: English
Иллюстрации: Illustrations
Размер: 231 x 189 x 21
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Research methods: general
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Поставляется из: Англии
Описание: This handy guide can be used in conjunction with any introductory or intermediate statistics book where the focus is on in-depth presentation of how graphs are used.


A guide to doing statistics in second language research using SPSS and R

Автор: Larson Hall Jenifer
Название: A guide to doing statistics in second language research using SPSS and R
ISBN: 1138024570 ISBN-13(EAN): 9781138024571
Издательство: Taylor&Francis
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Цена: 13779.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics.

Spss survival manual

Автор: Pallant, Julie
Название: Spss survival manual
ISBN: 0335242391 ISBN-13(EAN): 9780335242399
Издательство: McGraw-Hill
Рейтинг:
Цена: 5661.00 р.
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.

Quantitative Data Analysis with IBM SPSS 17, 18 & 19

Автор: Bryman Alan
Название: Quantitative Data Analysis with IBM SPSS 17, 18 & 19
ISBN: 0415579198 ISBN-13(EAN): 9780415579193
Издательство: Taylor&Francis
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Цена: 7654.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The authors provide a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS Statistics Version 19 for Windows.

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
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Цена: 14248.00 р.
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.

Applied Statistics with SPSS

Автор: Huizingh E
Название: Applied Statistics with SPSS
ISBN: 1412919312 ISBN-13(EAN): 9781412919319
Издательство: Sage Publications
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Цена: 8712.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A self-study guide to SPSS which contains screen dumps and exercises, glossary terms and worked examples. It covers a self-study guide for learning how to use SPSS and a reference guide for selecting the appropriate statistical technique and a do-it-yourself guide for analysing data and interpreting the results.

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
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Цена: 6968.00 р.
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.


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