Experimental And Quasi Experimental Designs For Generalized Causal Inference

Author: William R. Shadish
Publisher: Wadsworth Publishing Company
ISBN: 9780395615560
Size: 46.27 MB
Format: PDF, Kindle
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This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation: Theoretical matters: Experimentation, causation, and validity Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition Generalized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies

Experimental And Quasi Experimental Designs For Generalized Causal Inference

Author: William R. Shadish
Publisher:
ISBN: 9780395307878
Size: 21.58 MB
Format: PDF, ePub, Mobi
View: 1386
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This successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation: Theoretical matters: Experimentation, causation, and validity ; Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs ; Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition ; Generalized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies.

Studyguide For Experimental And Quasi Experimental Designs For Generalized Causal Inference By Shadish Isbn 9780395615560

Author: 1st Editi Shadish and Cook and Campbell
Publisher: Academic Internet Pub Incorporated
ISBN: 9781428802162
Size: 75.21 MB
Format: PDF, Kindle
View: 5242
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Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780395615560 .

Using Propensity Scores In Quasi Experimental Designs

Author: William M. Holmes
Publisher: SAGE Publications
ISBN: 1483310817
Size: 23.32 MB
Format: PDF, Docs
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Using Propensity Scores in Quasi-Experimental Designs, by William M. Holmes, examines how propensity scores can be used to reduce bias with different kinds of quasi-experimental designs and to fix or improve broken experiments. Requiring minimal use of matrix and vector algebra, the book covers the causal assumptions of propensity score estimates and their many uses, linking these uses with analysis appropriate for different designs. Thorough coverage of bias assessment, propensity score estimation, and estimate improvement is provided, along with graphical and statistical methods for this process. Applications are included for analysis of variance and covariance, maximum likelihood and logistic regression, two-stage least squares, generalized linear regression, and general estimation equations. The examples use public data sets that have policy and programmatic relevance across a variety of disciplines.

Experimental Design Procedures For The Behavioral Sciences

Author: Roger E. Kirk
Publisher: SAGE
ISBN: 1412974453
Size: 30.42 MB
Format: PDF, Docs
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Experimental Design: Procedures for Behavioral Sciences, Fourth Edition is a classic text with a reputuation for accessibility and readability. It has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.

Advanced Design In Nursing Research

Author: Pamela J. Brink
Publisher: SAGE
ISBN: 9780803958005
Size: 23.52 MB
Format: PDF, Docs
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This Second Edition of the bestselling Advanced Design in Nursing Research has been substantially revised and reorganized. Using the principle that the level of knowledge available on a research topic determines the level of design that can be used to study the topic, the contributors present discussions of research at three levels of design: theoretically based experimental designs; comparative and correlated survey designs; and exploratory-descriptive research designs. Strengths and weaknesses of each design in sampling, methods, reliability, validity, data analysis and issues related to human subjects are addressed. Contributors also discuss writing and evaluating proposals.

Foundations Of Program Evaluation

Author: William R. Shadish
Publisher: SAGE
ISBN: 9780803953017
Size: 55.20 MB
Format: PDF, Kindle
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Now in paperback, this volume summarizes, compares and contrasts the work of seven major theorists of programme evaluation. The authors develop a conceptual framework against which specific criteria of certain theories can be tested. They present the theoretical and practical advice of the theorists and critiques of their work. The conclusion summarizes the areas of agreement and disagreement between these influential theorists and offers directions for a new theory of programme evaluation.

Design Sensitivity

Author: Mark W. Lipsey
Publisher: SAGE
ISBN: 9780803930636
Size: 53.79 MB
Format: PDF, Docs
View: 7050
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All researchers face an important challenge - designing research that will have sufficient sensitivity to detect those effects it purports to investigate. Sample size, validity and sensitivity, experimental error, subject variability, and the type of statistical analysis all influence the sensitivity of a research design. Through careful explanations and selection of examples, Lipsey examines the concept of design sensitivity and explains statistical power and the elements that determine it.

Propensity Score Analysis

Author: Shenyang Guo
Publisher: SAGE
ISBN: 1452235007
Size: 57.30 MB
Format: PDF, Mobi
View: 7409
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Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application.