Statistical approaches to causal analysis, Mcbee, Matthew

Автор: Hoover Kevin D.
Название: Causality in Macroeconomics
ISBN: 0521452171 ISBN-13(EAN): 9780521452175
Издательство: Cambridge Academ
Цена: 100320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First published in 2001, Causality in Macroeconomics examines causality while taking macroeconomics seriously. A pragmatic and realistic philosophy is joined to a macroeconomic foundation that refines Herbert Simon`s well-known work on causal order to make a case for a structural approach to causality.

Автор: Rogerson, Peter A.
Название: Spatial statistical methods for geography
ISBN: 1529707447 ISBN-13(EAN): 9781529707441
Издательство: Sage Publications
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Цена: 50680.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This accessible new textbook offers a straightforward introduction to doing spatial statistics in the context of unique considerations that apply with geographic data. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.

Автор: Rohlfing
Название: Case Studies and Causal Inference
ISBN: 0230240704 ISBN-13(EAN): 9780230240704
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A discussion of the case study method which develops an integrative framework for causal inference in small-n research. This framework is applied to research design tasks such as case selection and process tracing. The book presents the basics, state-of-the-art and arguments for improving the case study method and empirical small-n research.

Автор: Samantha Kleinberg
Название: Time and Causality Across the Sciences
ISBN: 1108476678 ISBN-13(EAN): 9781108476676
Издательство: Cambridge Academ
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Цена: 61240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an entry point for researchers in any field, bringing together perspectives collected from a large body of work on causality across disciplines. Topics include whether quantum mechanics allows causes to precede their effects, the integration of mechanisms, and insight into the role played by intervention and timing information.

Автор: Hong Guanglei
Название: Causality in a Social World
ISBN: 1118332563 ISBN-13(EAN): 9781118332566
Издательство: Wiley
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Цена: 63310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data.

Автор: Dawn M. McBride
Название: The Process of Research and Statistical Analysis in Psychology
ISBN: 1544361998 ISBN-13(EAN): 9781544361994
Издательство: Sage Publications
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Цена: 120390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Process of Research and Statistical Analysis in Psychology presents integrated coverage of psychological research methods and statistical analysis to illustrate how these two crucial processes work together to uncover new information.

Автор: Davey, Adam Savla, Jyoti
Название: Statistical power analysis with missing data
ISBN: 0805863699 ISBN-13(EAN): 9780805863697
Издательство: Taylor&Francis
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Цена: 137810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as:

• How missing data affects the statistical power in a study
• How much power is likely with different amounts and types of missing data
• How to increase the power of a design in the presence of missing data, and
• How to identify the most powerful design in the presence of missing data.

Points of Reflection encourage readers to stop and test their understanding of the material. Try Me sections test one's ability to apply the material. Troubleshooting Tips help to prevent commonly encountered problems. Exercises reinforce content and Additional Readings provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book's application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions.

Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book's applied approach will also appeal to researchers in these areas. Sections covering Fundamentals, Applications, and Extensions are designed to take readers from first steps to mastery.

Автор: Ery Arias-Castro
Название: Principles of Statistical Analysis: Learning from Randomized Experiments
ISBN: 1108747442 ISBN-13(EAN): 9781108747448
Издательство: Cambridge Academ
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Цена: 32730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems - many computational - build understanding and skills.

Автор: Peter A. Rogerson
Название: Spatial Statistical Methods for Geography
ISBN: 1529707455 ISBN-13(EAN): 9781529707458
Издательство: Sage Publications
Рейтинг:
Цена: 167910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This accessible new textbook offers a straightforward introduction to doing spatial statistics in the context of unique considerations that apply with geographic data. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.