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Sex Differences in Reading and Math Test Scores of Children - Hoben Thomas - Bog - Springer International Publishing AG - Plusbog.dk

Sex Differences in Reading and Math Test Scores of Children - Hoben Thomas - Bog - Springer International Publishing AG - Plusbog.dk

This open access book examines why reading and math test scores for boys and girls have differed since the origins of testing in the United States. It details the pattern of differences that have remained largely unchanged for more than 100 years in the United States and worldwide. The book explores why boys have modestly larger math test score means than girls, and why girls have far larger reading test score means than boys. Boys have larger test score variances for both tasks. The only data of focus—and thus the only data to be explained—are boys’ and girls’ test score sample means and variances. In addition, the book provides the only coherent theory of gender differences explaining math and reading test score means and variances obtained in observational settings. It develops the simple genetical idea framed within a finite probability mixture model; it provides parameter estimates and displays numerous estimated probability distributions associated with the selected accessible studies chosen for analysis; and it extends the theory and provides explanations for never understood puzzling features of test score data. The book requires no auxiliary sources, although some understanding of random variables and probability theory is required to follow the formalization. It contains all technical details, including the estimation procedure and an R code implementation. Key areas of coverage include:· Extensive literature summary from a unique data inequalities perspective. · Perspective that challenges existing viewpoints on sex differences, falsifying conventional perspectives. · Illustrates probability modeling of psychological data. · Illustrates the failure of conventional statistics to explain data and the need for modeling data. Sex Differences in Reading and Math Test Scores of Children is an invaluable resource for researchers, professors, and graduate students in educational psychology, teaching and teacher education, literacy / language teaching and learning, mathematics education, curriculum studies, developmental psychology, statistics, and all interrelated disciplines.

DKK 349.00
1

VLSI Design and Test - - Bog - Springer International Publishing AG - Plusbog.dk

Simulating Information Retrieval Test Collections - Bodo Billerbeck - Bog - Springer International Publishing AG - Plusbog.dk

Simulating Information Retrieval Test Collections - Bodo Billerbeck - Bog - Springer International Publishing AG - Plusbog.dk

Simulated test collections may find application in situations where real datasets cannot easily be accessed due to confidentiality concerns or practical inconvenience. They can potentially support Information Retrieval (IR) experimentation, tuning, validation, performance prediction, and hardware sizing. Naturally, the accuracy and usefulness of results obtained from a simulation depend upon the fidelity and generality of the models which underpin it. The fidelity of emulation of a real corpus is likely to be limited by the requirement that confidential information in the real corpus should not be able to be extracted from the emulated version. We present a range of methods exploring trade-offs between emulation fidelity and degree of preservation of privacy. We present three different simple types of text generator which work at a micro level: Markov models, neural net models, and substitution ciphers. We also describe macro level methods where we can engineer macro properties of a corpus, giving a range of models for each of the salient properties: document length distribution, word frequency distribution (for independent and non-independent cases), word length and textual representation, and corpus growth. We present results of emulating existing corpora and for scaling up corpora by two orders of magnitude. We show that simulated collections generated with relatively simple methods are suitable for some purposes and can be generated very quickly. Indeed it may sometimes be feasible to embed a simple lightweight corpus generator into an indexer for the purpose of efficiency studies. Naturally, a corpus of artificial text cannot support IR experimentation in the absence of a set of compatible queries. We discuss and experiment with published methods for query generation and query log emulation. We present a proof-of-the-pudding study in which we observe the predictive accuracy of efficiency and effectiveness results obtained on emulated versions of TREC corpora. The study includes three open-source retrieval systems and several TREC datasets. There is a trade-off between confidentiality and prediction accuracy and there are interesting interactions between retrieval systems and datasets. Our tentative conclusion is that there are emulation methods which achieve useful prediction accuracy while providing a level of confidentiality adequate for many applications. Many of the methods described here have been implemented in the open source project SynthaCorpus, accessible at: https://bitbucket.org/davidhawking/synthacorpus/

DKK 509.00
1

Alternatives for Dermal Toxicity Testing - - Bog - Springer International Publishing AG - Plusbog.dk

Experimental Mechanics of Fractured Porous Rocks - Fernando Samaniego V. - Bog - Springer International Publishing AG - Plusbog.dk

Design Automation Techniques for Approximation Circuits - Daniel Grosse - Bog - Springer International Publishing AG - Plusbog.dk

Excel 2016 in Applied Statistics for High School Students - Thomas J. Quirk - Bog - Springer International Publishing AG - Plusbog.dk

Excel 2016 in Applied Statistics for High School Students - Thomas J. Quirk - Bog - Springer International Publishing AG - Plusbog.dk

This textbook is a step-by-step guide for high school, community college, or undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book will come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. This book gives practice in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an Appendix. This book is a tool that can be used either by itself or along with any good statistics book. - Includes 166 illustrations in color - Suitable for high school and community college students.

DKK 391.00
1

Field-based Tests for Soccer Players - Ricardo Lima - Bog - Springer International Publishing AG - Plusbog.dk