История
+7(495) 980-12-10
  10:00-18:00 пн-сб
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
  Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Специальные предложения | Бестселлеры
 
 
Вход в систему
Книги
Информация
Читайте отзывы покупателей и оценивайте качество магазина на Яндекс.Маркете
Online Каталоги
Каталог учебной литературы
по английскому языку >>>

Каталог учебной литературы
по английскому языку >>>


Applied Multivariate Statistics for the Social Sciences, Pituch Keenan A

Варианты приобретения
Цена: 8150р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 5 шт.  Склад Америка: 112 шт.  
При оформлении заказа до: 26 апр 2019
Ориентировочная дата поставки: середина-конец Мая

Добавить в корзину
в Мои желания
Автор: Pituch Keenan A
Название:  Applied Multivariate Statistics for the Social Sciences   (Кинан А. Питуч: Прикладные мультивариационные методы статистики в науках об обществе)
Издательство: Taylor&Francis
Классификация:
Социология и социальные исследования

ISBN: 0415836662
ISBN-13(EAN): 9780415836661
ISBN: 0-415-83666-2
ISBN-13(EAN): 978-0-415-83666-1
Обложка/Формат: Paperback
Страницы: 814
Вес: 1.486 кг.
Дата издания: 06.01.2016
Серия: Psychology
Язык: ENG
Издание: 6 revised edition
Иллюстрации: 65 halftones, black and white; 352 tables, black and white
Размер: 254 X 178 X 70
Читательская аудитория: Professional and scholarly
Ключевые слова: Psychological methodology, EDUCATION / Statistics,PSYCHOLOGY / Statistics,SOCIAL SCIENCE / Statistics
Подзаголовок: Analyses with sas and ibm`s spss, sixth edition
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this newer procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and?reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.
Дополнительное описание:




      Старое издание
Applied multivariate statistics for the social sciences

Автор: Stevens, James P.
Название: Applied multivariate statistics for the social sciences
ISBN: 0805859039 ISBN-13(EAN): 9780805859034
Издательство: Taylor&Francis
Цена: 6791 р.
Наличие на складе: Поставка под заказ.
Описание: Suitable for those who use, rather than develop statistical methods, this book focuses on a conceptual understanding of the material rather than on proving results. This book stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized.


Mathematical Tools for Applied Multivariate Analysis,

Автор: J. Douglas Carroll
Название: Mathematical Tools for Applied Multivariate Analysis,
ISBN: 0121609553 ISBN-13(EAN): 9780121609559
Издательство: Elsevier Science
Рейтинг:
Цена: 6166 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Illustrates major concepts in matrix algebra, linear structures, and eigenstructures geometrically, numerically, and algebraically. This book emphasizes the applications of these techniques by discussing potential solutions to problems outlined. It also presents small numerical examples of the various concepts.

Matrix-Based Introduction to Multivariate Data Analysis

Автор: Adachi
Название: Matrix-Based Introduction to Multivariate Data Analysis
ISBN: 9811023409 ISBN-13(EAN): 9789811023408
Издательство: Springer
Рейтинг:
Цена: 6264 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter.
This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra.
The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.
Applied Multivariate Statistics for the Social Sciences

Автор: Pituch
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836654 ISBN-13(EAN): 9780415836654
Издательство: Taylor&Francis
Рейтинг:
Цена: 16720 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and?reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

Multivariate Environmental Statistics,6

Автор: G.P. Patil
Название: Multivariate Environmental Statistics,6
ISBN: 0444898042 ISBN-13(EAN): 9780444898043
Издательство: Elsevier Science
Рейтинг:
Цена: 5138 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Aims to provide a perception of multivariate environmental statistics using some examples. This volume includes papers which discuss the state of the art in different areas of multivariate environmental statistics and provide problems for future research and instruction. It is suitable for statistical theory and practice in this area.

Basic Statistics in Multivariate Analysis

Автор: Randolph, Karen A.; Myers, Laura L.
Название: Basic Statistics in Multivariate Analysis
ISBN: 0199764042 ISBN-13(EAN): 9780199764044
Издательство: Oxford Academ
Рейтинг:
Цена: 3903 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This pocket guide introduces readers to linear regression analysis, analysis of variance and covariance, and path analysis with an emphasis on the basic statistics. It prepares doctoral students and early career social work researchers with limited statistics exposure in the use of multivariate methods by providing an easy-to-understand presentation.

Applied Multivariate Research

Автор: Meyers L et al
Название: Applied Multivariate Research
ISBN: 1412904129 ISBN-13(EAN): 9781412904124
Издательство: Sage Publications
Рейтинг:
Цена: 8457 р.
Наличие на складе: Нет в наличии.

Описание: Providing coverage of the wide range of multivariate topics in a conceptual, rather than mathematical, approach, this book gears toward the needs, level of sophistication, and interest in multivariate methodology of students across the social sciences that need to focus on design and interpretation rather than the intricacies of computations.

Applied Multivariate Analysis

Автор: Timm Neil H.
Название: Applied Multivariate Analysis
ISBN: 0387953477 ISBN-13(EAN): 9780387953472
Издательство: Springer
Рейтинг:
Цена: 10284 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0. The book includes an overview of vectors, matrices, multivariate distribution theory, and multivariate linear models. Topics discussed include multivariate regression, multivariate analysis of variance for fixed and mixed models, seemingly unrelated regression models and repeated measurement models. While standard procedures for estimating model parameters and testing multivariate hypotheses, as well as simultaneous test procedures, are discussed and illustrated in the text, the text also includes tests of multivariate normality with chi-square and beta plots, tests of multivariate nonadditivity, tests of covariance structure, tests of nonnested hypotheses, and the assessment of model assumptions. Other topics illustrated in the text include discriminant and classification analysis, principal component analysis, canonical correlation analysis, exploratory factor analysis, cluster analysis, multidimension scaling, and structural equation modeling. The text should appeal to practitioners, researchers, and applied statisticians. It may be used in a one-semester course in applied multivariate analysis for practitioners and researchers, or as a two-semester course for majors in applied statistics. Because most data analyzed in the social and behavioral sciences and other disciplines involve many continuous variables, the techniques and examples. SAS programs for this book are available on the Springer website.

Applied Multivariate Research: Design and Interpretation

Автор: Meyers Lawrence S., Gamst Glenn C., Guarino Anthony J.
Название: Applied Multivariate Research: Design and Interpretation
ISBN: 1506329764 ISBN-13(EAN): 9781506329765
Издательство: Sage Publications
Рейтинг:
Цена: 9697 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book addresses correlation, multiple regression, exploratory factor analysis, MANOVA, path analysis, and structural equation modelling. Readers are encouraged to focus on design and interpretation rather than the intricacies of specific computations. 

The Multivariate Social Scientist

Автор: Hutcheson G & Sofroniou N
Название: The Multivariate Social Scientist
ISBN: 0761952012 ISBN-13(EAN): 9780761952015
Издательство: Sage Publications
Рейтинг:
Цена: 2592 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Social responsibility and social capital are high on the agenda of governments and corporations. But what of the small firm? Little is known about the small firm response to social issues, despite their domination of the business landscape. This is an introduction to multivariate analysis and techniques written in a non-mathematical style. It starts from a simple hypothesis testing, moves towards model-building and takes the reader through the basics of multivariate analysis.

The Multivariate Social Scientist

Автор: Hutcheson G & Sofroniou N
Название: The Multivariate Social Scientist
ISBN: 0761952004 ISBN-13(EAN): 9780761952008
Издательство: Sage Publications
Рейтинг:
Цена: 9359 р.
Наличие на складе: Нет в наличии.

Описание: Starting from simple hypothesis testing and then moving towards model-building, this book takes readers through the basics of multivariate analysis including: which tests to use on which data; how to run analyses in SPSS for Windows and GLIM4; how to interpret results; and how to report and present the reports.

Multivariate and Mixture Distribution Rasch Models / Extensions and Applications

Автор: Davier Matthias von, Carstensen Claus H.
Название: Multivariate and Mixture Distribution Rasch Models / Extensions and Applications
ISBN: 0387329161 ISBN-13(EAN): 9780387329161
Издательство: Springer
Рейтинг:
Цена: 12154 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume covers extensions of the Rasch model, one of the most researched and applied models in educational research and social science. This collection contains 22 chapters by some of the most recognized international experts in the field. They cover topics ranging from general model extensions to applications in fields as diverse as cognition, personality, organizational and sports psychology, and health sciences and education. The Rasch model is designed for categorical data, often collected as examinees' responses to multiple tasks such as cognitive items from psychological tests or from educational assessments. The Rasch model's elegant mathematical form is suitable for extensions that allow for greater flexibility in handling complex samples of examinees and collections of tasks from different domains. In these extensions, the Rasch model is enhanced by additional structural elements that either account for differences between diverse populations or for differences among observed variables. Research on extending well-known statistical tools like regression, mixture distribution, and hierarchical linear models has led to the adoption of Rasch model features to handle categorical observed variables. We maintain both perspectives in the volume and show how these merged models—Rasch models with a more complex item or population structure—are derived either from the Rasch model or from a structural model, how they are estimated, and where they are applied.

Multivariate Taxometric Procedures

Автор: Waller N & Meehl P
Название: Multivariate Taxometric Procedures
ISBN: 0761902570 ISBN-13(EAN): 9780761902577
Издательство: Sage Publications
Рейтинг:
Цена: 5412 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying this process, Waller and Meehl unpack Meehl`s work on the MAXCOV-HITMAX procedure to reveal the underlying rationale of MAXCOV in simple terms and show how this technique can be profitably used in a variety of disciplines by researchers in their taxonomic work.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте  Мобильная версия