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Author: Elana Shohamy
Publisher: Routledge
ISBN: 1317875486
Category : Language Arts & Disciplines
Languages : en
Pages : 209
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Book Description
Language in Social Life is a major series which highlights the importance of language to an understanding of issues of social and professional concern. It will be of practical relevance to all those wanting to understand how the ways we communicate both influence and are influenced by the structures and forces of contemporary social institutions. In all modern societies individuals are subject to tests, whether to enter educational programs, to pass from one level to the next or to grant certificates to practice. Yet, tests are powerful tools which are often introduced in undemocratic and unethical ways as disciplinary tools for carrying out various policy agendas. Tests can be detrimental to people's lives as they are capable of affecting and defining the knowledge and behaviour of those who are being tested. The Power of Tests applies a critical perspective of language tests by examining their uses and consequences in education and society and by viewing tests not as isolated events but rather as embedded in social, educational and political contexts. The book is divided into four parts: the first part establishes the power of tests through echoing the voices of test takers, describing the features of the power of tests, and the temptations that tests offer to bureaucrats who use them for power and control. The second part reports on studies that provide empirical evidence about intentions and effects of a number of large scale language tests. The third part interprets the results by examining their consequences on education and society, arriving at a model of tests' use. The final section of the book offers strategies for controlling and minimising the misuses of tests by introducing the notion of Critical Language Testing which calls for the examination of the consequences and misuses of tests, monitoring of power and pointing to their unethical uses. It also provides a comprehensive discussion of the responsibilities of language testers, including a new Code of Ethics, as well as strategies for guarding and protecting the rights of test takers.
Author: Elana Shohamy
Publisher: Routledge
ISBN: 1317875486
Category : Language Arts & Disciplines
Languages : en
Pages : 209
Get Book
Book Description
Language in Social Life is a major series which highlights the importance of language to an understanding of issues of social and professional concern. It will be of practical relevance to all those wanting to understand how the ways we communicate both influence and are influenced by the structures and forces of contemporary social institutions. In all modern societies individuals are subject to tests, whether to enter educational programs, to pass from one level to the next or to grant certificates to practice. Yet, tests are powerful tools which are often introduced in undemocratic and unethical ways as disciplinary tools for carrying out various policy agendas. Tests can be detrimental to people's lives as they are capable of affecting and defining the knowledge and behaviour of those who are being tested. The Power of Tests applies a critical perspective of language tests by examining their uses and consequences in education and society and by viewing tests not as isolated events but rather as embedded in social, educational and political contexts. The book is divided into four parts: the first part establishes the power of tests through echoing the voices of test takers, describing the features of the power of tests, and the temptations that tests offer to bureaucrats who use them for power and control. The second part reports on studies that provide empirical evidence about intentions and effects of a number of large scale language tests. The third part interprets the results by examining their consequences on education and society, arriving at a model of tests' use. The final section of the book offers strategies for controlling and minimising the misuses of tests by introducing the notion of Critical Language Testing which calls for the examination of the consequences and misuses of tests, monitoring of power and pointing to their unethical uses. It also provides a comprehensive discussion of the responsibilities of language testers, including a new Code of Ethics, as well as strategies for guarding and protecting the rights of test takers.
Author: Elana (Professor Of Language Education Shohamy
Publisher: Routledge
ISBN: 100012293X
Category : Education
Languages : en
Pages : 209
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Book Description
Language in Social Life is a major series which highlights the importance of language to an understanding of issues of social and professional concern. It will be of practical relevance to all those wanting to understand how the ways we communicate both influence and are influenced by the structures and forces of contemporary social institutions. In all modern societies individuals are subject to tests, whether to enter educational programs, to pass from one level to the next or to grant certificates to practice. Yet, tests are powerful tools which are often introduced in undemocratic and unethical ways as disciplinary tools for carrying out various policy agendas. Tests can be detrimental to people's lives as they are capable of affecting and defining the knowledge and behaviour of those who are being tested. The Power of Tests applies a critical perspective of language tests by examining their uses and consequences in education and society and by viewing tests not as isolated events but rather as embedded in social, educational and political contexts. The book is divided into four parts: the first part establishes the power of tests through echoing the voices of test takers, describing the features of the power of tests, and the temptations that tests offer to bureaucrats who use them for power and control. The second part reports on studies that provide empirical evidence about intentions and effects of a number of large scale language tests. The third part interprets the results by examining their consequences on education and society, arriving at a model of tests' use. The final section of the book offers strategies for controlling and minimising the misuses of tests by introducing the notion of Critical Language Testing which calls for the examination of the consequences and misuses of tests, monitoring of power and pointing to their unethical uses. It also provides a comprehensive discussion of the responsibilities of language testers, including a new Code of Ethics, as well as strategies for guarding and protecting the rights of test takers.
Author: Kevin R. Murphy
Publisher: Routledge
ISBN: 1135625328
Category : Psychology
Languages : en
Pages : 247
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Book Description
This book presents a simple and general method for conducting statistical power analysis based on the widely used F statistic. The book illustrates how these analyses work and how they can be applied to problems of studying design, to evaluate others' research, and to choose the appropriate criterion for defining "statistically significant" outcomes. Statistical Power Analysis examines the four major applications of power analysis, concentrating on how to determine: *the sample size needed to achieve desired levels of power; *the level of power that is needed in a study; *the size of effect that can be reliably detected by a study; and *sensible criteria for statistical significance. Highlights of the second edition include: a CD with an easy-to-use statistical power analysis program; a new chapter on power analysis in multi-factor ANOVA, including repeated-measures designs; and a new One-Stop PV Table to serve as a quick reference guide. The book discusses the application of power analysis to both traditional null hypothesis tests and to minimum-effect testing. It demonstrates how the same basic model applies to both types of testing and explains how some relatively simple procedures allow researchers to ask a series of important questions about their research. Drawing from the behavioral and social sciences, the authors present the material in a nontechnical way so that readers with little expertise in statistical analysis can quickly obtain the values needed to carry out the power analysis. Ideal for students and researchers of statistical and research methodology in the social, behavioral, and health sciences who want to know how to apply methods of power analysis to their research.
Author: Jacob Cohen
Publisher: Routledge
ISBN: 1134742770
Category : Psychology
Languages : en
Pages : 625
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Book Description
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
Author: Jim Cummins
Publisher: Springer Science & Business Media
ISBN: 0387463011
Category : Education
Languages : en
Pages : 1215
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Book Description
This two volume handbook provides a comprehensive examination of policy, practice, research and theory related to English Language Teaching in international contexts. More than 70 chapters highlight the research foundation for best practices, frameworks for policy decisions, and areas of consensus and controversy in second language acquisition and pedagogy. The Handbook provides a unique resource for policy makers, educational administrators, and researchers concerned with meeting the increasing demand for effective English language teaching. It offers a strongly socio-cultural view of language learning and teaching. It is comprehensive and global in perspective with a range of fresh new voices in English language teaching research.
Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category : Psychology
Languages : en
Pages : 617
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Book Description
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author: Rotem Dror
Publisher: Springer Nature
ISBN: 3031021746
Category : Computers
Languages : en
Pages : 98
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Book Description
Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include extensive experimental analysis, and the number of involved tasks, datasets, domains, and languages is constantly growing. This emphasis on empirical results highlights the role of statistical significance testing in NLP research: If we, as a community, rely on empirical evaluation to validate our hypotheses and reveal the correct language processing mechanisms, we better be sure that our results are not coincidental. The goal of this book is to discuss the main aspects of statistical significance testing in NLP. Our guiding assumption throughout the book is that the basic question NLP researchers and engineers deal with is whether or not one algorithm can be considered better than another one. This question drives the field forward as it allows the constant progress of developing better technology for language processing challenges. In practice, researchers and engineers would like to draw the right conclusion from a limited set of experiments, and this conclusion should hold for other experiments with datasets they do not have at their disposal or that they cannot perform due to limited time and resources. The book hence discusses the opportunities and challenges in using statistical significance testing in NLP, from the point of view of experimental comparison between two algorithms. We cover topics such as choosing an appropriate significance test for the major NLP tasks, dealing with the unique aspects of significance testing for non-convex deep neural networks, accounting for a large number of comparisons between two NLP algorithms in a statistically valid manner (multiple hypothesis testing), and, finally, the unique challenges yielded by the nature of the data and practices of the field.
Author: Lisa L. Harlow
Publisher: Routledge
ISBN: 131724284X
Category : Psychology
Languages : en
Pages : 436
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Book Description
The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.
Author: Gregory J. Privitera
Publisher: SAGE
ISBN: 141296931X
Category : Mathematics
Languages : en
Pages : 737
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Book Description
Statistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter. Gregory J. Privitera takes a user-friendly approach while balancing statistical theory, computation, and application with the technical instruction needed for students to succeed in the modern era of data collection, analysis, and statistical interpretation.
Author: Stacy Lumannick
Publisher:
ISBN:
Category :
Languages : en
Pages : 66
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Book Description
