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English as a Global Language
Author: David Crystal
language: en
Publisher: Cambridge University Press
Release Date: 2012-03-29
Written in a detailed and fascinating manner, this book is ideal for general readers interested in the English language.
The Art of Thinking Clearly
OVER 3 MILLION COPIES SOLD Making better choices will transform your life at work, at home, forever If you want to lead a happier, more prosperous life, you don't need shiny gadgets, complicated ideas or frantic activity. You just need to make better choices. From why you should not accept a free drink to why you should keep a diary, from dealing with a personal problem to negotiating at work, The Art of Thinking Clearly is a simple, straightforward and always surprising guide to a better, smarter you. SEE HOW THE ART OF THINKING CLEARLY IS CHANGING READERS' LIVES 'Everyone in business should read this superb book' ⭐ ⭐ ⭐ ⭐ ⭐ 'I've read this book so many times I've lost count. Being a manager for many years it has been very useful in helping me help myself and others to think more rationally about different challenges and situations. Highly recommend it' ⭐ ⭐ ⭐ ⭐ ⭐ 'The concepts in this book are so smart and straightforward, you will kick yourself for not knowing and applying them in your life already' ⭐ ⭐ ⭐ ⭐ ⭐ 'Reading this book has helped me realise how much flaws I have in my thinking. It's a great read' ⭐ ⭐ ⭐ ⭐ ⭐ 'For those genuinely looking to build a better thinking and rationale and do not mind putting lots of effort to it then I find this the perfect book' ⭐ ⭐ ⭐ ⭐ ⭐ 'A book to shift your perception' ⭐ ⭐ ⭐ ⭐ ⭐ 'It definitely changed the way I am approaching problems and dealing with life's little challenges' ⭐ ⭐ ⭐ ⭐ ⭐
Statistical Power Analysis for the Behavioral Sciences
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.