Applied Power Analysis for the Behavioral Sciences, Aberson
Старое издание
Автор: Aberson Название: Applied Power Analysis for the Behavioral Sciences ISBN: 1138044598 ISBN-13(EAN): 9781138044593 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Applied Power Analysis for the Behavioral Sciences is a practical guide to conducting statistical power analyses for students and researchers (including those with limited quantitative backgrounds) in psychology and related fields.
Описание: Provides a thorough grounding in observational methods along with considerable practical advice. Behavioral scientists use observational methods to study relatively natural, spontaneous behavior as it unfolds in time. This book is rich with examples of coding methods and different approaches to sequential analysis, including both statistical and graphical means.
Автор: Kimmo Vehkalahti , Brian S. Everitt Название: Multivariate Analysis for the Behavioral Sciences, Second Edition ISBN: 0815385153 ISBN-13(EAN): 9780815385158 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.
Автор: Bailey Jon S Название: Research Methods in Applied Behavior Analysis ISBN: 1138685267 ISBN-13(EAN): 9781138685260 Издательство: Taylor&Francis Рейтинг: Цена: 7195.00 р. Наличие на складе: Поставка под заказ.
Описание: Research Methods in Applied Behavior Analysis, 2nd Edition, is a practical text that provides the beginning researcher with a clear description of how behavior analysts conduct applied research and submit it for publication.
Автор: Munzner Название: Visualization Analysis and Design ISBN: 1466508914 ISBN-13(EAN): 9781466508910 Издательство: Taylor&Francis Рейтинг: Цена: 10717.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Learn How to Design Effective Visualization Systems
Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form.
The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework.
The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human-computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.
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.
Описание: With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website (www.guilford.com/brown3-materials) offers data and program syntax files for most of the research examples, as well as links to CFA-related resources.
New to This Edition *Updated throughout to incorporate important developments in latent variable modeling. *Chapter on Bayesian CFA and multilevel measurement models. *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. *Utilizes the latest versions of major latent variable software packages.
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