Originally published in 1965, this volume was immediately judged to be one of the main contributions to the intellectual life of the Italian Sixties. Three years later, in 1968, it became clear that it had anticipated many of the themes of the New Left and the student revolt. Ex-partisan, poet, literary critic and teacher, Fortini had been immersed for more than twenty years in the cut and thrust of ideological debate. In these pages, besides discussing problems of cultural organization and the consciousness industry, he described the end of militant anti-fascism and the alliance between progressivism and literature, the end of the social mandate of writers and the beginning of a 'revolution of civilization'. In writing, Fortini did not intend to speak to the young but the young, perhaps in the spirit of contradiction, listened to him. Apart from some of the crucial interventions into the literary and critical debates of the Sixties, the volume includes essays on Kafka, Pasternak, Spitzer, Auerbach, Lukacs, Lu Xun, Proust and Brecht.

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.

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.

Taking a test can be nerve-wracking, especially when your future is riding on the results. And any kind of test-from high-stakes academic tests to career qualification exams-can be faced successfully with Test-Taking Power Strategies. Simple but invaluable tips to ace any test: the most effective ways to memorize, the 5 classic methods to overcome test anxiety, the right (and wrong) way to cram, the 10 most common test-day problems-and solutions, how test makers try to distract you, how to become an educated guesser, how to predict the subjects for essay questions in advance. More Essential Features and Strategies: Exclusive reviews covering critical basic writing skills for taking essay exams, Practice with various kinds of test questions, Help with real-world problems, such as anxiety and insufficient preparation time, Improve your skills in the elements of study, from breaking down assignments into manageable sections to getting the most out of readings and lectures. Book jacket.

The second edition of a bestseller, this definitive text covers all aspects of testing and maintenance of the equipment found in electrical power systems serving industrial, commercial, utility substations, and generating plants. It addresses practical aspects of routing testing and maintenance and presents both the methodologies and engineering basics needed to carry out these tasks. It is an essential reference for engineers and technicians responsible for the operation, maintenance, and testing of power system equipment. Comprehensive coverage includes dielectric theory, dissolved gas analysis, cable fault locating, ground resistance measurements, and power factor, dissipation factor, DC, breaker, and relay testing methods.

Managing the power consumption of circuits and systems is now considered one of the most important challenges for the semiconductor industry. Elaborate power management strategies, such as dynamic voltage scaling, clock gating or power gating techniques, are used today to control the power dissipation during functional operation. The usage of these strategies has various implications on manufacturing test, and power-aware test is therefore increasingly becoming a major consideration during design-for-test and test preparation for low power devices. This book explores existing solutions for power-aware test and design-for-test of conventional circuits and systems, and surveys test strategies and EDA solutions for testing low power devices.