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BUNDLE: Field:Discovering Statistics using IBM SPSS Statistics + Cunningham:Using SPSS, Andy Field


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Цена: 85530.00T
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в Мои желания

Автор: Andy Field
Название:  BUNDLE: Field:Discovering Statistics using IBM SPSS Statistics + Cunningham:Using SPSS
ISBN: 9781483303390
Издательство: Sage Publications
Классификация:

ISBN-10: 148330339X
Обложка/Формат: Kit
Вес: 2.10 кг.
Дата издания: 30.04.2013
Серия: Reference/Librarianship
Язык: English
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Research methods: general
Рейтинг:
Поставляется из: Англии

Discovering statistics using ibm spss statistics

Автор: Field, Andy
Название: Discovering statistics using ibm spss statistics
ISBN: 1526419521 ISBN-13(EAN): 9781526419521
Издательство: Sage Publications
Рейтинг:
Цена: 28090.00 T
Наличие на складе: Есть
Описание: Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!

IBM SPSS for Intermediate Statistics

Автор: Leech Nancy L
Название: IBM SPSS for Intermediate Statistics
ISBN: 1848729995 ISBN-13(EAN): 9781848729995
Издательство: Taylor&Francis
Рейтинг:
Цена: 40010.00 T
Наличие на складе: Есть
Описание:

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format.

The new edition features:

- IBM SPSS version 22; although the book can be used with most older and newer versions

- New discusiion of intraclass correlations (Ch. 3)

- Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5)

- New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6)

- New chapter on how to use a variable as a mediator or a moderator (ch. 7)

- Revised chapter on multilevel and hierarchical linear modeling (ch. 12)

- A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data

- Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides.

IBM SPSS for Intermediate Statistics, Fifth Edition provides helpful teaching tools:

- all of the key SPSS windows needed to perform the analyses

- outputs with call-out boxes to highlight key points

- interpretation sections and questions to help students better understand and interpret the output

- extra problems with realistic data sets for practice using intermediate statistics

- Appendices on how to get started with SPSS, write research questions, and basic statistics.

An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS


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.

Discovering statistics using ibm spss statistics

Автор: Field, Andy
Название: Discovering statistics using ibm spss statistics
ISBN: 1526419513 ISBN-13(EAN): 9781526419514
Издательство: Sage Publications
Рейтинг:
Цена: 195360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

Автор: Niels Blunch
Название: Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS
ISBN: 1473916216 ISBN-13(EAN): 9781473916210
Издательство: Sage Publications
Рейтинг:
Цена: 151010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout, this book assumes no prior statistical knowledge and includes practical assistance to encourage students to feel confident about using SEM for their research project.

Statistics Using IBM SPSS

Автор: Weinberg
Название: Statistics Using IBM SPSS
ISBN: 1107461227 ISBN-13(EAN): 9781107461222
Издательство: Cambridge Academ
Рейтинг:
Цена: 79200.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written in a clear and lively tone, Statistics Using IBM SPSS provides a data-centric approach to statistics with integrated SPSS (version 22) commands, ensuring that students gain both a strong conceptual understanding of statistics and practical facility with statistical software. The third edition features a new chapter on research design.

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Автор: Ronald H Heck, Scott Thomas, Lynn Tabata
Название: Multilevel Modeling of Categorical Outcomes Using IBM SPSS
ISBN: 1848729553 ISBN-13(EAN): 9781848729551
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.


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