Meta-Analytic Structural Equation Modelling, Suzanne Jak

Автор: Kline, Rex B.
Название: Principles and practice of structural equation modelling
ISBN: 1572306904 ISBN-13(EAN): 9781572306905
Издательство: Taylor&Francis
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Цена: 37970.00 T
Наличие на складе: Нет в наличии.
Описание: This bestselling text that has been popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modelling (SEM) is now in its second edition.

Автор: Card Noel A.
Название: Applied Meta-Analysis for Social Science Research
ISBN: 1462525008 ISBN-13(EAN): 9781462525003
Издательство: Taylor&Francis
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Цена: 44910.00 T
Наличие на складе: Невозможна поставка.
Описание:

Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.

Автор: Byrne
Название: Structural Equation Modeling With AMOS
ISBN: 1138797030 ISBN-13(EAN): 9781138797031
Издательство: Taylor&Francis
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Цена: 59190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos.

Автор: Kulinskaya, E Morgenthaler, Stephan Staudte, Rober
Название: Meta analysis
ISBN: 0470028645 ISBN-13(EAN): 9780470028643
Издательство: Wiley
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Цена: 67530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory.

Автор: Stefan Vo?; Silvano Martello; Ibrahim H. Osman; Ca
Название: Meta-Heuristics
ISBN: 1461376467 ISBN-13(EAN): 9781461376460
Издательство: Springer
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Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97).

Автор: Koricheva Julia
Название: Handbook of Meta-Analysis in Ecology and Evolution
ISBN: 0691137293 ISBN-13(EAN): 9780691137292
Издательство: Wiley
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Цена: 79200.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets "--