Experimental And Quasi Experimental Designs For Generalized Causal Inference Pdf
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📒Experimental And Quasi Experimental Designs For Generalized Causal Inference ✍ William R. Shadish
✏Experimental and Quasi experimental Designs for Generalized Causal Inference Book Summary : 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
📒Modern Experimental Design ✍ Thomas P. Ryan
✏Modern Experimental Design Book Summary : A complete and well-balanced introduction to modern experimentaldesign Using current research and discussion of the topic along withclear applications, Modern Experimental Design highlightsthe guiding role of statistical principles in experimental designconstruction. This text can serve as both an applied introductionas well as a concise review of the essential types of experimentaldesigns and their applications. Topical coverage includes designs containing one or multiplefactors, designs with at least one blocking factor, split-unitdesigns and their variations as well as supersaturated andPlackett-Burman designs. In addition, the text contains extensivetreatment of: Conditional effects analysis as a proposed general method ofanalysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniformdesigns Restricted regions of operability and debarredobservations Analysis of Means (ANOM) used to analyze data from varioustypes of designs The application of available software, including Design-Expert,JMP, and MINITAB This text provides thorough coverage of the topic while alsointroducing the reader to new approaches. Using a large number ofreferences with detailed analyses of datasets, ModernExperimental Design works as a well-rounded learning tool forbeginners as well as a valuable resource for practitioners.
📒The Handbook Of Social Work Research Methods ✍ Bruce Thyer
✏The Handbook of Social Work Research Methods Book Summary : Click on the Supplements tab above for further details on the different versions of SPSS programs. The canonical Handbook is completely updated with more student-friendly features The Handbook of Social Work Research Methods is a cutting-edge volume that covers all the major topics that are relevant for Social Work Research methods. Edited by Bruce Thyer and containing contributions by leading authorities, this Handbook covers both qualitative and quantitative approaches as well as a section that delves into more general issues such as evidence based practice, ethics, gender, ethnicity, International Issues, integrating both approaches, and applying for grants. New to this Edition More content on qualitative methods and mixed methods More coverage of evidence-based practice More support to help students effectively use the Internet A companion Web site at www.sagepub.com/thyerhdbk2e containing a test bank and PowerPoint slides for instructors and relevant SAGE journal articles for students. This Handbook serves as a primary text in the methods courses in MSW programs and doctoral level programs. It can also be used as a reference and research design tool for anyone doing scholarly research in social work or human services.
📒Using Propensity Scores In Quasi Experimental Designs ✍ William M. Holmes
✏Using Propensity Scores in Quasi Experimental Designs Book Summary : 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 Evaluation Design For Program Improvement ✍ Laura R. Peck
✏Experimental Evaluation Design for Program Improvement Book Summary : The concepts of cause and effect are critical to the field of program evaluation. Experimentally-designed evaluations—those that randomize to treatment and control groups—offer a convincing means for establishing a causal connection between a program and its effects. Experimental Evaluation Design for Program Improvement considers a range of impact evaluation questions, particularly those questions that focus on the impact of specific aspects of a program. Laura R. Peck shows how a variety of experimental evaluation design options can provide answers to these questions, and she suggests opportunities for experiments to be applied in more varied settings and focused on program improvement efforts.
📒Handbook Of Early Childhood Special Education ✍ Brian Reichow
✏Handbook of Early Childhood Special Education Book Summary : This handbook discusses early childhood special education (ECSE), with particular focus on evidence-based practices. Coverage spans core intervention areas in ECSE, such as literacy, motor skills, and social development as well as diverse contexts for services, including speech-language pathology, physical therapy, and pediatrics. Contributors offer strategies for planning, implementing, modifying, and adapting interventions to help young learners extend their benefits into the higher grades. Concluding chapters emphasize the importance of research in driving evidence-based practices (EBP). Topics featured in the Handbook include: Family-centered practices in early childhood intervention. The application of Response to Intervention (RtI) in young children with identified disabilities. Motor skills acquisition for young children with disabilities. Implementing evidence-based practices in ECSE classrooms. · Cultural, ethnic, and linguistic implications for ECSE. The Handbook of Early Childhood Special Education is a must-have resource for researchers, professors, upper-level undergraduate and graduate students, clinicians, and practitioners across such disciplines as child and school psychology, early childhood education, clinical social work, speech and physical therapy, developmental psychology, behavior therapy, and public health.
📒Consensus Organizing A Community Development Workbook ✍ Mary L. Ohmer
✏Consensus Organizing A Community Development Workbook Book Summary : A person doesn't have to be a consensus organizer to think like one. Consensus Organizing: A Community Development Workbook—A Comprehensive Guide to Designing, Implementing, and Evaluating Community Change Initiatives helps students and practitioners begin to think like consensus organizers and incorporate this way of strategic thinking into their lives and their work. Through a wide range of exercises, role-play activities, case scenarios, and discussion questions, this workbook presents the conceptual framework for consensus organizing and provides a practical and experiential approach to understanding and applying consensus organizing to address a range of issues. This workbook is designed to be used by itself or along with Mike Eichler's text Consensus Organizing: Building Communities of Mutual Self Interest (SAGE, 2007). Accompanying Website Instructors and students have access to the many activities and cases on the accompanying website at www.sagepub.com/ohmerworkbookstudy.
📒Propensity Score Analysis ✍ Shenyang Guo
✏Propensity Score Analysis Book Summary : 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.
📒Evaluation Theory Models And Applications ✍ Daniel L. Stufflebeam
✏Evaluation Theory Models and Applications Book Summary : The golden standard evaluation reference text Now in its second edition, Evaluation Theory, Models, and Applications is the vital text on evaluation models, perfect for classroom use as a textbook, and as a professional evaluation reference. The book begins with an overview of the evaluation field and program evaluation standards, and proceeds to cover the most widely used evaluation approaches. With new evaluation designs and the inclusion of the latest literature from the field, this Second Edition is an essential update for professionals and students who want to stay current. Understanding and choosing evaluation approaches is critical to many professions, and Evaluation Theory, Models, and Applications, Second Edition is the benchmark evaluation guide. Authors Daniel L. Stufflebeam and Chris L. S. Coryn, widely considered experts in the evaluation field, introduce and describe 23 program evaluation approaches, including, new to this edition, transformative evaluation, participatory evaluation, consumer feedback, and meta-analysis. Evaluation Theory, Models, and Applications, Second Edition facilitates the process of planning, conducting, and assessing program evaluations. The highlighted evaluation approaches include: Experimental and quasi-experimental design evaluations Daniel L. Stufflebeam's CIPP Model Michael Scriven's Consumer-Oriented Evaluation Michael Patton's Utilization-Focused Evaluation Robert Stake's Responsive/Stakeholder-Centered Evaluation Case Study Evaluation Key readings listed at the end of each chapter direct readers to the most important references for each topic. Learning objectives, review questions, student exercises, and instructor support materials complete the collection of tools. Choosing from evaluation approaches can be an overwhelming process, but Evaluation Theory, Models, and Applications, Second Edition updates the core evaluation concepts with the latest research, making this complex field accessible in just one book.
📒Handbook Of Health Survey Methods ✍ Timothy P. Johnson
✏Handbook of Health Survey Methods Book Summary : A comprehensive guidebook to the current methodologiesand practices used in health surveys A unique and self-contained resource, Handbook of HealthSurvey Methods presents techniques necessary for confrontingchallenges that are specific to health survey research. Thehandbook guides readers through the development of sample designs,data collection procedures, and analytic methods for studies aimedat gathering health information on general and targetedpopulations. The book is organized into five well-defined sections: Design andSampling Issues, Measurement Issues, Field Issues, Health Surveysof Special Populations, and Data Management and Analysis.Maintaining an easy-to-follow format, each chapter begins with anintroduction, followed by an overview of the main concepts,theories, and applications associated with each topic. Finally,each chapter provides connections to relevant online resources foradditional study and reference. The Handbook of Health SurveyMethods features: 29 methodological chapters written by highly qualified expertsin academia, research, and industry A treatment of the best statistical practices and specificmethodologies for collecting data from special populations such assexual minorities, persons with disabilities, patients, andpractitioners Discussions on issues specific to health research includingdeveloping physical health and mental health measures, collectinginformation on sensitive topics, sampling for clinical trials,collecting biospecimens, working with proxy respondents, andlinking health data to administrative and other external datasources Numerous real-world examples from the latest research in thefields of public health, biomedicine, and health psychology Handbook of Health Survey Methods is an ideal reference foracademics, researchers, and practitioners who apply survey methodsand analyze data in the fields of biomedicine, public health,epidemiology, and biostatistics. The handbook is also a usefulsupplement for upper-undergraduate and graduate-level courses onsurvey methodology.