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Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences, McArdle, John J.


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Автор: McArdle, John J.
Название:  Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences
ISBN: 9780415817097
Издательство: Taylor&Francis
Классификация:



ISBN-10: 0415817099
Обложка/Формат: Paperback
Страницы: 496
Вес: 0.66 кг.
Дата издания: 27.08.2013
Серия: Quantitative methodology series
Язык: English
Иллюстрации: 96 tables, black and white; 58 line drawings, black and white; 59 halftones, black and white; 117 illustrations, black and white
Размер: 226 x 152 x 22
Читательская аудитория: Postgraduate, research & scholarly
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Поставляется из: Европейский союз


Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

Автор: McArdle, John J.
Название: Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences
ISBN: 0415817064 ISBN-13(EAN): 9780415817066
Издательство: Taylor&Francis
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Цена: 29093.00 р.
Наличие на складе: Поставка под заказ.

Exploratory and descriptive statistics

Автор: Scott Jones, Julie Goldring
Название: Exploratory and descriptive statistics
ISBN: 1526424711 ISBN-13(EAN): 9781526424716
Издательство: Sage Publications
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Цена: 4275.00 р.
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Описание: Nervous about statistics? This guide offers a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

Applied Survey Data Analysis, Second Edition

Автор: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.

Investigating the Psychological World: Scientific Method in the Behavioral Sciences

Автор: Haig Brian D.
Название: Investigating the Psychological World: Scientific Method in the Behavioral Sciences
ISBN: 0262027364 ISBN-13(EAN): 9780262027366
Издательство: MIT Press
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Цена: 6772.00 р.
Наличие на складе: Нет в наличии.

Описание:

A broad theory of research methodology for psychology and the behavioral sciences that offers a coherent treatment of a range of behavioral research methods.

This book considers scientific method in the behavioral sciences, with particular reference to psychology. Psychologists learn about research methods and use them to conduct their research, but their training teaches them little about the nature of scientific method itself. In Investigating the Psychological World, Brian Haig fills this gap. Drawing on behavioral science methodology, the philosophy of science, and statistical theory, Haig constructs a broad theory of scientific method that has particular relevance for the behavioral sciences. He terms this account of method the abductive theory of method (ATOM) in recognition of the importance it assigns to explanatory reasoning. ATOM offers the framework for a coherent treatment of a range of quantitative and qualitative behavioral research methods, giving equal treatment to data-analytic methods and methods of theory construction.

Haig draws on the new experimentalism in the philosophy of science to reconstruct the process of phenomena detection as it applies to psychology; he considers the logic and purpose of exploratory factor analysis; he discusses analogical modeling as a means of theory development; and he recommends the use of inference to the best explanation for evaluating theories in psychology. Finally, he outlines the nature of research problems, discusses the nature of the abductive method, and describes applications of the method to grounded theory method and clinical reasoning. The book will be of interest not only to philosophers of science but also to psychological researchers who want to deepen their conceptual understanding of research methods and methodological concerns.

Analysis of Multivariate Social Science Data

Автор: Bartholomew
Название: Analysis of Multivariate Social Science Data
ISBN: 1138464546 ISBN-13(EAN): 9781138464544
Издательство: Taylor&Francis
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Цена: 29858.00 р.
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Описание: Exploring how to use key multivariate methods in the social sciences, this book contains three chapters on regression analysis, confirmatory factor analysis and structural equation models, and multilevel models. It presents various examples of real-world applications and establishes an approach to latent variable modeling.

Exploratory multivariate analysis by example using r

Автор: Husson, Francois Le, Sebastien Pages, Jerome
Название: Exploratory multivariate analysis by example using r
ISBN: 036765802X ISBN-13(EAN): 9780367658021
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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Описание: Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis.

Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software

Автор: Wouter De Nooy, Andrej Mrvar, Vladimir Batagelj
Название: Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software
ISBN: 1108474144 ISBN-13(EAN): 9781108474146
Издательство: Cambridge Academ
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Цена: 18216.00 р.
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Описание: The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.

A Step-by-Step Guide to Exploratory Factor Analysis with Stata

Автор: Watkins Marley W.
Название: A Step-by-Step Guide to Exploratory Factor Analysis with Stata
ISBN: 0367710994 ISBN-13(EAN): 9780367710996
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata.

Step-by-step guide to exploratory factor analysis with stata

Автор: Watkins, Marley W.
Название: Step-by-step guide to exploratory factor analysis with stata
ISBN: 0367710323 ISBN-13(EAN): 9780367710323
Издательство: Taylor&Francis
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Цена: 7195.00 р.
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Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face when applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.This is a valuable resource for upper level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.

A Step-By-Step Guide to Exploratory Factor Analysis with SPSS

Автор: Watkins Marley W.
Название: A Step-By-Step Guide to Exploratory Factor Analysis with SPSS
ISBN: 0367711117 ISBN-13(EAN): 9780367711115
Издательство: Taylor&Francis
Рейтинг:
Цена: 22202.00 р.
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Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using SPSS.

Step-by-step guide to exploratory factor analysis with spss

Автор: Watkins, Marley W.
Название: Step-by-step guide to exploratory factor analysis with spss
ISBN: 0367710315 ISBN-13(EAN): 9780367710316
Издательство: Taylor&Francis
Рейтинг:
Цена: 7195.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using SPSS.In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots and code from SPSS and recommends evidence-based best-practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.

Exploratory Factor Analysis

Автор: W. Holmes Finch
Название: Exploratory Factor Analysis
ISBN: 1544339887 ISBN-13(EAN): 9781544339887
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory Factor Analysis by W. Holmes Finch provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in EFA. The concluding chapter addresses a number of other key issues in EFA, such as determining the appropriate sample size for a given research problem, and the handling of missing data.  It also offers brief introductions to exploratory structural equation modeling, and multilevel models for EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website.


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