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A Monte Carlo Investigation Of Tests Of Simple Effects In Multifactor Repeated Measure Analysis Of Variance
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Book Synopsis A Monte Carlo Investigation of Tests of Simple Effects in Multifactor Repeated Measure Analysis of Variance by : Monny Clifford Sklov
Download or read book A Monte Carlo Investigation of Tests of Simple Effects in Multifactor Repeated Measure Analysis of Variance written by Monny Clifford Sklov and published by . This book was released on 1981 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Investigation of the Analysis of Variance Applied to Non-independent Bernoulli Variates by : John Frederick Draper
Download or read book A Monte Carlo Investigation of the Analysis of Variance Applied to Non-independent Bernoulli Variates written by John Frederick Draper and published by . This book was released on 1971 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Investigation of the Adequacy of Standard Analysis of Variance Test Procedures for Dependent Binary Variates by : Garrett Kile Mandeville
Download or read book A Monte Carlo Investigation of the Adequacy of Standard Analysis of Variance Test Procedures for Dependent Binary Variates written by Garrett Kile Mandeville and published by . This book was released on 1969 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Comprehensive Dissertation Index by :
Download or read book Comprehensive Dissertation Index written by and published by . This book was released on 1984 with total page 948 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Investigation of Type I Error in the Analysis of Variance for the Single Group Repeated Measures Design with Multiple Measures Per Occasion by : Randall R. Robey
Download or read book A Monte Carlo Investigation of Type I Error in the Analysis of Variance for the Single Group Repeated Measures Design with Multiple Measures Per Occasion written by Randall R. Robey and published by . This book was released on 1985 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Investigation of Nonparametric One-way Multivariate Analysis of Variance in the Two-group Case by : Rebecca Zwick
Download or read book A Monte Carlo Investigation of Nonparametric One-way Multivariate Analysis of Variance in the Two-group Case written by Rebecca Zwick and published by . This book was released on 1983 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Study of Some Test Statistics in Repeated-measures Designs by : Dusan Hadzi-Pavlovic
Download or read book A Monte Carlo Study of Some Test Statistics in Repeated-measures Designs written by Dusan Hadzi-Pavlovic and published by . This book was released on 1982 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis American Doctoral Dissertations by :
Download or read book American Doctoral Dissertations written by and published by . This book was released on 1981 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Experimental Design by : Roger E. Kirk
Download or read book Experimental Design written by Roger E. Kirk and published by SAGE Publications. This book was released on 2012-06-12 with total page 1354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic text, with a reputuation for accessibility and readability, 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.
Book Synopsis A Monte Carlo Investigation of Multilevel Modeling in Meta-analysis of Single-subject Research Data by : Austin Madison Mulloy
Download or read book A Monte Carlo Investigation of Multilevel Modeling in Meta-analysis of Single-subject Research Data written by Austin Madison Mulloy and published by . This book was released on 2011 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multilevel modeling represents a potentially viable method for meta-analyzing single-subject research, but questions remain concerning its methodological properties with regard to characteristics of single-subject data. For this dissertation, Monte Carlo methods were used to investigate the properties of a 3 level model (i.e., with a quadratic equation at level 1), and three different level 1 error specifications (i.e., different variance components and covariances of 0, lag-1 autoregressive covariance structures, and separate error terms for each phase, with different variance components and covariances of 0). Data for simulated subjects were generated to have characteristics typical of published single-subject data (e.g., typical variances and magnitudes of effect). Samples were simulated for conditions which varied in number of data points per phase, number of subjects per study, number of studies meta-analyzed, level of autocorrelation in residuals, and continuity of variance across phases. Outcome variables examined included rates of convergence of analyses, power for statistical tests of fixed effects, and relative parameter bias of estimates of fixed effects, random effects' variance components, and autocorrelation estimates. Convergence rates were found to be 100% for all level 1 error specifications and data conditions. Power for statistical tests of fixed effects was observed to be adequate when 10 or more data points were generated per phase and 60 or more total subjects were included in meta-analyses. The relative biases of estimates of fixed effects were found to have limited associations with numbers of data points per phase, levels of autocorrelation, and the continuity/discontinuity of variance across phases. Random effects' variance components were observed to be frequently biased. Associations between relative bias and data conditions were found to vary by random effect. Finally, autocorrelation estimates were found to be biased in all conditions for which autocorrelation was generated. Results are discussed with regard to study strengths and limitations, and their implications for the meta-analysis of single subject data and primary single subject research.
Download or read book Research in Education written by and published by . This book was released on 1973 with total page 1006 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Study to Determine Sample Size for Multiple Comparison Procedures in ANOVA by : Michael H. Senteney
Download or read book A Monte Carlo Study to Determine Sample Size for Multiple Comparison Procedures in ANOVA written by Michael H. Senteney and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers are often concerned with what sample sizes are necessary to achieve sufficient statistical power when designing their research studies. Sample sizes in such studies are often based on the omnibus test and do not necessarily provide sufficient statistical power for pairwise multiple comparisons commonly used to investigate statistically significant main effects. The purpose of this study was to conduct Monte Carlo simulations in order to investigate the appropriate sample sizes needed to achieve sufficient statistical power for numerous multiple comparison procedures (MCPs). An effect-of-most-interest approach was employed. Numerous test conditions for 3-, 4-, and 5-group one-way ANOVA designs were examined. Results show clear and consistent differences between sample sizes estimated based on the omnibus F test, t-tests, and MCPs. Comprehensive sample size tables are provided in the Appendix to this study. Analyses tables containing recommendations for sample size estimates are also provided in the results and discussion sections.
Book Synopsis Nonparametric Monte Carlo Tests and Their Applications by : Li-Xing Zhu
Download or read book Nonparametric Monte Carlo Tests and Their Applications written by Li-Xing Zhu and published by Springer Science & Business Media. This book was released on 2006-04-08 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fundamental issue in statistical analysis is testing the fit of a particular probability model to a set of observed data. Monte Carlo approximation to the null distribution of the test provides a convenient and powerful means of testing model fit. Nonparametric Monte Carlo Tests and Their Applications proposes a new Monte Carlo-based methodology to construct this type of approximation when the model is semistructured. When there are no nuisance parameters to be estimated, the nonparametric Monte Carlo test can exactly maintain the significance level, and when nuisance parameters exist, this method can allow the test to asymptotically maintain the level. The author addresses both applied and theoretical aspects of nonparametric Monte Carlo tests. The new methodology has been used for model checking in many fields of statistics, such as multivariate distribution theory, parametric and semiparametric regression models, multivariate regression models, varying-coefficient models with longitudinal data, heteroscedasticity, and homogeneity of covariance matrices. This book will be of interest to both practitioners and researchers investigating goodness-of-fit tests and resampling approximations. Every chapter of the book includes algorithms, simulations, and theoretical deductions. The prerequisites for a full appreciation of the book are a modest knowledge of mathematical statistics and limit theorems in probability/empirical process theory. The less mathematically sophisticated reader will find Chapters 1, 2 and 6 to be a comprehensible introduction on how and where the new method can apply and the rest of the book to be a valuable reference for Monte Carlo test approximation and goodness-of-fit tests. Lixing Zhu is Associate Professor of Statistics at the University of Hong Kong. He is a winner of the Humboldt Research Award at Alexander-von Humboldt Foundation of Germany and an elected Fellow of the Institute of Mathematical Statistics. From the reviews: "These lecture notes discuss several topics in goodness-of-fit testing, a classical area in statistical analysis. ... The mathematical part contains detailed proofs of the theoretical results. Simulation studies illustrate the quality of the Monte Carlo approximation. ... this book constitutes a recommendable contribution to an active area of current research." Winfried Stute for Mathematical Reviews, Issue 2006 "...Overall, this is an interesting book, which gives a nice introduction to this new and specific field of resampling methods." Dongsheng Tu for Biometrics, September 2006
Book Synopsis A Monte Carlo Study of Comparing Repeated Measures ANOVA and ANCOVA to Analyze the Data from a Pretest/posttest Design Under Violations of the Assumption of Normality by : Anne Min-hui Ling
Download or read book A Monte Carlo Study of Comparing Repeated Measures ANOVA and ANCOVA to Analyze the Data from a Pretest/posttest Design Under Violations of the Assumption of Normality written by Anne Min-hui Ling and published by . This book was released on 1987 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Investigation of Two and Three Factorial Random Effects Analysis of Three Factorial Models when the Dependent Variable is a Bernouli Variable by : Thomas William Cockayne
Download or read book A Monte Carlo Investigation of Two and Three Factorial Random Effects Analysis of Three Factorial Models when the Dependent Variable is a Bernouli Variable written by Thomas William Cockayne and published by . This book was released on 1974 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Investigation of Ten Test Statistics for Testing Equality of Two-group Change Parameters of Quantitative Variables with Missing Data by : Pao-Kuei Wu
Download or read book A Monte Carlo Investigation of Ten Test Statistics for Testing Equality of Two-group Change Parameters of Quantitative Variables with Missing Data written by Pao-Kuei Wu and published by . This book was released on 1989 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
