Download or read book Selection Bias in the Estimation of Experimental and Quasi experimental Effects written by Robert A. Moffitt and published by . This book was released on 1977 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Refinement of a Quasi experimental Design to Assess the Effects of a Selection Bias Curriculum Intervention and the Test of an Analysis Procedure written by Francis Edward Rapley and published by . This book was released on 1973 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Experimental and Quasi Experimental Designs for Research written by Donald T. Campbell and published by Ravenio Books. This book was released on 2015-09-03 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control.
Download or read book Bias in the Estimates of Treatment Effects in Quasi experimental Evaluations written by Burt S. Barnow and published by . This book was released on 1978 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Selection Bias in Quasi experimental Research written by Marieke Dingena Spreeuwenberg and published by . This book was released on 2010 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Statistical Analysis of Quasi Experiments written by Christopher H. Achen and published by Univ of California Press. This book was released on 2023-07-28 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1986.
Download or read book Quasi Experimentation written by Charles S. Reichardt and published by Guilford Publications. This book was released on 2019-09-02 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.
Download or read book Experimental and Quasi experimental Designs for Generalized Causal Inference written by William R. Shadish and published by Cengage Learning. This book was released on 2002 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.
Download or read book Best Practices in Quantitative Methods written by Jason W. Osborne and published by SAGE. This book was released on 2008 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
Download or read book Evaluation written by Peter H. Rossi and published by SAGE Publications. This book was released on 2003-10-14 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since Peter H. Rossi, Mark W. Lipsey, and Howard E. Freeman first published Evaluation: A Systematic Approach, more than 90,000 readers have considered it the premier text on how to design, implement, and appraise social programs through evaluation. In this, the completely revised Seventh Edition, authors Rossi and Lipsey include the latest techniques and approaches to evaluation as well as guidelines to tailor evaluations to fit programs and social contexts. With decades of hands-on experience conducting evaluations, the authors provide scores of examples to help students understand how evaluators deal with various critical issues. They include a glossary of key terms and concepts, making this the most comprehensive and authoritative evaluation text available. Thoroughly revised, the Seventh Edition now includes * Substantially more attention to outcome measurement * Lengthy discussions of program theory, including a section about detecting program effects and interpreting their practical significance * An augmented and updated discussion of major evaluation designs * A detailed exposition of meta-analysis as an approach to the synthesis of evaluation studies * Alternative approaches to evaluation * Examples of successful evaluations * Discussions of the political and social contexts of evaluation
Download or read book Estimating Causal Effects written by Barbara Schneider and published by . This book was released on 2007 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the value of quasi-experimental techniques that can be used to approximate randomized experiments. The goal is to describe the logic of causal inference for researchers and policymakers who are not necessarily trained in experimental and quasi-experimental designs and statistical techniques.
Download or read book Estimating Long Term Program Impacts when the Control Group Joins Treatment in the Short Term written by Andrew Jaciw and published by . This book was released on 2010 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Randomized trials of educational interventions often face logistical hurdles (Cook, 2002). For example, sometimes they are prevented from reaching their full-term. This would happen if, as a condition of participation, subjects insist on receiving the treatment program within a certain timeframe. This timeframe may be shorter than the full-term required to get a measure of impact as intended by the program developers. If the controls get exposure to the program before the treatment group gets a full-term exposure, then a valid counterfactual to treatment for measuring the full-term effect is lost, and an alternative has to be established by some other means. In this situation, the researcher has a few options, including: 1) to include an outside comparison group as an alternative control group for when the experimental control group joins treatment (Shadish, Cook and Campbell, 2002); and 2) to estimate impact using an "extra-experimental" method (Bell and Bradley, 2008) which uses impact estimates from earlier birth cohorts in the same experiment to build up a counterfactual for the treatment group. Benefits of the latter approach are that it does not rely on an outside comparison group, and it rules out selection bias and the effects of secular trends that may affect student performance. This work builds on the experimental research tradition in education (Bloom, Bos and Lee, 1999; Boruch et al., 2002; Cook, 2002; Raudenbush, 1997). It can be considered is a first step in investigating the merits and limitation of alternative methods of obtaining program impact estimates in situations where a control group joins treatment before a program has had the opportunity to come full-term. The authors compare the pros and cons of quasi- and extra-experimental impact estimates. The work has both theoretical and empirical components which they outline in this paper.
Download or read book Using Propensity Scores in Quasi Experimental Designs written by William M. Holmes and published by SAGE Publications. This book was released on 2013-06-10 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Evaluation and Experiment written by Carl A. Bennett and published by Elsevier. This book was released on 2013-09-24 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluation and Experiment: Some Critical Issues in Assessing Social Programs is a collection of papers presented at the 1973 symposium held at The Battelle Seattle Research Center. This book contains eight chapters that consider some selected aspects of the problems in evaluating the outcomes of socially important programs, such as those dealing with education, health, and economic policy. The first chapter provides an overview of the issues around the Social Program Evaluation. The next chapters deal with the successes and failures brought by social innovations; the quasi-experimental evaluation in compensatory education to estimate the true effects of such education programs; and the usefulness and validity of econometric and related nonexperimental approaches for assessing the effects of social programs. These topics are followed by surveys of a number of additional program-evaluation studies, particularly in the field of family planning or fertility control, mostly carried out as experiments or quasi-experiments in Asian and Latin American countries. Other chapters describe the decision processes that involve explicit assessment of the worth or merit of outcomes and employ multivalued utility analysis and outline the ways in which evaluative data are useful in providing feedback to program or institutional operations and decisions. The final chapter discusses resolutions for some of the disagreements expressed by others concerning the role of field experiments, constraints in their utilization, and other factors that enter into a comprehensive conception of program evaluation.
Download or read book Estimating Incumbency Effects in U S State Legislatures written by Yogesh Uppal and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper estimates the incumbency effects in elections to the House of Representatives of 45 states in the United States using a quasi-experimental research method, regression discontinuity design (RDD). This design isolates the causal effect of incumbency from other contemporaneous factors, such as candidate quality, by comparing incumbents and non-incumbents in close contests. I find that incumbents in state legislative elections have a significant advantage, and this advantage serves as a strong barrier to re-entry of challengers who had previously been defeated. However, the incumbency advantage estimated using the RDD is much smaller than are the estimates using existing methods, implying a significant selection bias in the latter.
Download or read book Cochrane Handbook for Systematic Reviews of Interventions written by Julian P. T. Higgins and published by Wiley. This book was released on 2008-11-24 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
Download or read book Continuous Multivariate Distributions Volume 1 written by Samuel Kotz and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.
