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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.
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.
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.
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.
This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions. It explains how to enhance the authenticity of research by estimating the sample size and reporting the power of the tests used. Further, it discusses the issue of sample size determination in survey studies as well as in hypothesis testing experiments so that readers can grasp the concept of statistical errors, minimum detectable difference, effect size, one-tail and two-tail tests and the power of the test. The book also highlights the importance of fixing these boundary conditions in enhancing the authenticity of research findings and improving the chances of research papers being accepted by respected journals. Further, it explores the significance of sample size by showing the power achieved in selected doctoral studies. Procedure has been discussed to fix power in the hypothesis testing experiment. One should usually have power at least 0.8 in the study because having power less than this will have the issue of practical significance of findings. If the power in any study is less than 0.5 then it would be better to test the hypothesis by tossing a coin instead of organizing the experiment. It also discusses determining sample size and power using the freeware G*Power software, based on twenty-one examples using different analyses, like t-test, parametric and non-parametric correlations, multivariate regression, logistic regression, independent and repeated measures ANOVA, mixed design, MANOVA and chi-square.
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.
How Many Subjects? is a practical guide to sample size calculations and general principles of cost-effective research. It introduces a simple technique of statistical power analysis which allows researchers to compute approximate sample sizes and power for a wide variety of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons, emphasized throughout the book, demonstrate important principles of design, measurement and analysis that are rarely discussed in courses or textbooks.
NSCA's Guide to Tests and Assessments offers strength and conditioning professionals a one-stop resource for the best research-supported fitness and performance measures available. Created by top experts in the National Strength and Conditioning Association (NSCA), this comprehensive text offers extensive information on which factors matter and how to evaluate them as accurately and easily as possible. Editor Todd Miller and an authoritative team of contributors have compiled an exceptional reference and valuable tool for practicing professionals and an indispensable educational resource for students. NSCA's Guide to Tests and Assessments presents the latest research from respected scientists and practitioners in exercise testing and assessment. The text begins with an introduction to testing, data analysis, and formulating conclusions. It then features a by-chapter presentation of tests and assessments for body composition, heart rate and blood pressure, metabolic rate, aerobic power, lactate threshold, muscular strength, muscular endurance, power, speed and agility, mobility, and balance and stability. Using descriptions of multiple test options for each key fitness component, readers will learn to choose from a range of alternatives to meet the needs of their athletes, reach training objectives, choose from available equipment, and work within budgets. Each chapter provides a summary detailing the key testing and assessment information for each fitness component, the equipment needed for performing the tests, step-by-step instructions, normative data for the tests, and multiple test options per conditioning component. Insights into the applications of testing for certain fitness components are also presented: • The value of body composition assessments in determining health and fitness levels for competitive athletes as well as individuals across the life span • How an understanding of 24-hour energy expenditure can be useful in structuring a complete diet and exercise plan for weight loss, gain, or maintenance • How to select a maximal or submaximal aerobic power test that is specific to the demands of a client’s or athlete’s sport • Discussion of the mechanical and physiological factors shown to influence the expression of muscular strength • An examination of the relevant factors influencing power production and explosive movement capacity • Differences between mobility and flexibility and a discussion of the acute versus chronic effects of static stretching • Theories and concepts of balance and stability, their effects on performance, and categories of testing for balance and stability NSCA's Guide to Tests and Assessments also includes NSCA-approved testing protocols, extensive references to current research, and applications for the testing of conditioning components. Information is presented in an accessible manner to help explain the findings of both researchers and practitioners so that readers can select the most effective and efficient approach for athlete and client assessments. Properly conducted tests and skillful assessment of data enable fitness professionals to develop individualized training programs based on their clients’ or athletes’ physiological and functional capacities. Credible, current, and complete, NSCA's Guide to Tests and Assessments provides a clear understanding of the test selection process, how to implement appropriate data collection, and how to analyze data to make appropriate training decisions that will help athletes and clients achieve their performance goals. NSCA’s Guide to Tests and Assessments is part of the Science of Strength and Conditioning series. Developed with the expertise of the National Strength and Conditioning Association (NSCA), this series of texts provides the guidelines for converting scientific research into practical application. The series covers topics such as tests and assessments, program design, and nutrition. Earn continuing education credits/units! A continuing education course and exam that uses this book is also available. It may be purchased separately or as part of a package that includes all the course materials and exam.
"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
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.