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EBookClubs

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Book A Statistical Model for the Analysis of Covariance with Fallible Covariates

Download or read book A Statistical Model for the Analysis of Covariance with Fallible Covariates written by Dag Sörbom and published by . This book was released on 1976 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Model for Using Qualitative Variables as Covariates in the Analysis of Covariance

Download or read book A Model for Using Qualitative Variables as Covariates in the Analysis of Covariance written by N. Phillip Ross and published by . This book was released on 1975 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: The powers of fixed effects randomized block (RB) and analysis of covariance (CANCOVA) using qualitative concomitant variables were analytically and empirically compared. Analytical comparisons were made of the powers of RB and CANCOVA in which the number of observations (n sub i) within each of the I categories of the concomitant variable was a constant. Empirical comparisons were made of the power of CANCOVA in which (n sub i) was a random variable (RCANCOVA) with RB in which (n sub i) was a constant. A Monte Carlo program simulated fixed effects with two levels of treatment, one criterion variable, and a qualitative concomitant variable with I categories. Three 'design types' in which I was equal to 2, 3, and 4 were studied. The parameters varied for each design type were: (1) total sample size (n.) (I=2, n.=20, 80; I=3, n.=36, 144; I=4, n.=56, 224); (2) ratio of number of row observations (I=2, 1:1, 4:1; I=3, 1:1:1, 4:1:1; I=4, 1:1:1:1, 4:1:1:1); (3) eta (0.0, 0.3, 0.9); and (4) magnitude of treatment effect (0.0, 0.2, 0.5). Analytically, the RB and CANCOVA provided the same information in terms of component sums of squares. However, the power relationship was shown to be a function of sample size, design type, and amount of heterogeneity (interaction) present. Empirically no interpretable differences were found, either in magnitude and direction, between the power of the RB and RCANCOVA for any of the design type and parameter combinations studied. (Author).

Book The Analysis of Covariance and Alternatives

Download or read book The Analysis of Covariance and Alternatives written by Bradley Huitema and published by John Wiley & Sons. This book was released on 2011-10-24 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results. Subsequent chapters feature newly added methods for the analysis of experiments with ordered treatments, including two parametric and nonparametric monotone analyses as well as approaches based on the robust general linear model and reversed ordinal logistic regression. Four groundbreaking chapters on single-case designs introduce powerful new analyses for simple and complex single-case experiments. This Second Edition also features coverage of advanced methods including: Simple and multiple analysis of covariance using both the Fisher approach and the general linear model approach Methods to manage assumption departures, including heterogeneous slopes, nonlinear functions, dichotomous dependent variables, and covariates affected by treatments Power analysis and the application of covariance analysis to randomized-block designs, two-factor designs, pre- and post-test designs, and multiple dependent variable designs Measurement error correction and propensity score methods developed for quasi-experiments, observational studies, and uncontrolled clinical trials Thoroughly updated to reflect the growing nature of the field, Analysis of Covariance and Alternatives is a suitable book for behavioral and medical scineces courses on design of experiments and regression and the upper-undergraduate and graduate levels. It also serves as an authoritative reference work for researchers and academics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.

Book Statistics and Causality

Download or read book Statistics and Causality written by Wolfgang Wiedermann and published by John Wiley & Sons. This book was released on 2016-05-20 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: b”STATISTICS AND CAUSALITYA one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.

Book Research Methodology

Download or read book Research Methodology written by Herman Aguinis and published by SAGE Publications. This book was released on 2024-03-19 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: Herman Aguinis′s Research Methodology provides a comprehensive guide to conducting high-impact empirical research. A valuable resource for all researchers, it offers step-by-step explanations of diverse methodologies with practical guidelines. This text aids readers in selecting compelling topics, reporting results, and evaluating published research.

Book Your Statistical Consultant

Download or read book Your Statistical Consultant written by Rae R. Newton and published by SAGE. This book was released on 2013 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you bridge the gap between what you learned in your statistics course and the questions you want to answer in your real-world research? Oriented towards distinct questions in a "How do I?" or "When should I?" format, Your Statistical Consultant is the equivalent of the expert colleague down the hall who fields questions about describing, explaining, and making recommendations regarding thorny or confusing statistical issues. The book serves as a compendium of statistical knowledge, both theoretical and applied, that addresses the questions most frequently asked by students, researchers and instructors. Written to be responsive to a wide range of inquiries and levels of expertise, the book is flexibly organized so readers can either read it sequentially or turn directly to the sections that correspond to their concerns.

Book Modelling Covariances and Latent Variables Using EQS

Download or read book Modelling Covariances and Latent Variables Using EQS written by G Dunn and published by CRC Press. This book was released on 1993-08-01 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.

Book Optimal Covariate Designs

Download or read book Optimal Covariate Designs written by Premadhis Das and published by Springer. This book was released on 2015-07-23 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model parameters. The main emphasis of this monograph is to start with an assumed covariate model in combination with some standard ANOVA set-ups such as CRD, RBD, BIBD, GDD, BTIBD, BPEBD, cross-over, multi-factor, split-plot and strip-plot designs, treatment control designs, etc. and discuss the nature and availability of optimal covariate designs. In some situations, optimal estimations of both ANOVA and the regression parameters are provided. Global optimality and D-optimality criteria are mainly used in selecting the design. The standard optimality results of both discrete and continuous set-ups have been adapted, and several novel combinatorial techniques have been applied for the construction of optimum designs using Hadamard matrices, the Kronecker product, Rao-Khatri product, mixed orthogonal arrays to name a few.

Book Statistical Guidance for Model Modification in Covariance Structure Analysis

Download or read book Statistical Guidance for Model Modification in Covariance Structure Analysis written by Thom Luijben and published by . This book was released on 1989 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Designing Experiments and Analyzing Data

Download or read book Designing Experiments and Analyzing Data written by Scott E. Maxwell and published by Psychology Press. This book was released on 2004 with total page 1106 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: "SPSS and SAS data sets fpr ,amu pf tje text exercoses as we;; as titorials reviewing basic statistics and simple and multiple regression."

Book Handbook of Psychology  Research Methods in Psychology

Download or read book Handbook of Psychology Research Methods in Psychology written by Irving B. Weiner and published by John Wiley & Sons. This book was released on 2012-10-23 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychology is of interest to academics from many fields, as well as to the thousands of academic and clinical psychologists and general public who can't help but be interested in learning more about why humans think and behave as they do. This award-winning twelve-volume reference covers every aspect of the ever-fascinating discipline of psychology and represents the most current knowledge in the field. This ten-year revision now covers discoveries based in neuroscience, clinical psychology's new interest in evidence-based practice and mindfulness, and new findings in social, developmental, and forensic psychology.

Book An Introduction to Applied Multivariate Analysis

Download or read book An Introduction to Applied Multivariate Analysis written by Tenko Raykov and published by Routledge. This book was released on 2008-03-10 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe

Book DHHS Publication No   PHS

Download or read book DHHS Publication No PHS written by and published by . This book was released on 1990 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Educational Testing and Evaluation

Download or read book Educational Testing and Evaluation written by Eva L. Baker and published by SAGE Publications, Incorporated. This book was released on 1980 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: An assessment of the state of the art in educational testing and evaluation is presented to identify critical issues and needs in evaluation policy, test design, and quantitative analysis. Topics addressed by test designers include measurement in instruction, measurement of expertise, and measurement and research methodology. Quantitative theory and its applications are discussed; specifically included are analysis of multilevel educational data, standardized test selection, prediction analysis, mastery and achievement tests, and evaluations of Head Start and Title I educational programs. Perspectives on evaluation and testing policy address such concepts as standards and minimum competency. Final commentaries examine test use and traditional testing. (nm).

Book Quasi Experimentation

Download or read book Quasi Experimentation written by Charles S. Reichardt and published by Guilford Publications. This book was released on 2019-07-29 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. Comparing quasi-experiments to randomized experiments, Reichardt discusses when and why the former might be a better choice than the latter in the face of the contingencies that are likely to arise in practice. Modern methods 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. Adding to its discussion of prototypical quasi-experiments, the book also provides a complete typology of quasi-experimental design options to help the reader craft the best research design to fit the circumstances of a given study.

Book Modeling Longitudinal and Multilevel Data

Download or read book Modeling Longitudinal and Multilevel Data written by Todd D. Little and published by Psychology Press. This book was released on 2000 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts on handling longitudinal & multiple-group data contribute various, practical, analytic approaches including SEM,LTA,GLM, and multi-level techniques.Includes helpful tips, applications and examples. Grad students & researchers in social & behavior

Book Measurement  Design  and Analysis

Download or read book Measurement Design and Analysis written by Elazar J. Pedhazur and published by Psychology Press. This book was released on 2013-04-15 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: In textbooks and courses in statistics, substantive and measurement issues are rarely, if at all, considered. Similarly, textbooks and courses in measurement virtually ignore design and analytic questions, and research design textbooks and courses pay little attention to analytic and measurement issues. This fragmentary approach fosters a lack of appreciation of the interrelations and interdependencies among the various aspects of the research endeavor. Pedhazur and Schmelkin's goal is to help readers become proficient in these aspects of research and their interrelationships, and to use that information in a more integrated manner. The authors offer extensive commentaries on inputs and outputs of computer programs in the context of the topics presented. Both the organization of the book and the style of presentation allow for much flexibility in choice, sequence, and degree of sophistication with which topics are dealt.