{"product_id":"effect-sizes-for-research","title":"Effect Sizes for Research","description":"\u003cp\u003eNoted for its comprehensive coverage, this greatly expanded new edition now covers the use of univariate \u003cem\u003eand \u003c\/em\u003emultivariate effect sizes. Many measures and estimators are reviewed along with their application, interpretation, and limitations. Noted for its practical approach, the book features numerous examples using real data for a variety of variables and designs, to help readers apply the material to their own data. Tips on the use of SPSS, SAS, R, and S-Plus are provided. The book's broad disciplinary appeal results from its inclusion of a variety of examples from psychology, medicine, education, and other social sciences. Special attention is paid to confidence intervals, the statistical assumptions of the methods, and robust estimators of effect sizes. The extensive reference section is appreciated by all. \u003c\/p\u003e\u003cp\u003eWith more than 40% new material, highlights of the new editon include:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ethree new multivariate chapters covering effect sizes for analysis of covariance, multiple regression\/correlation, and multivariate analysis of variance\u003c\/li\u003e\n\u003cli\u003emore learning tools in each chapter including introductions, summaries, \"Tips and Pitfalls\" and more conceptual and computational questions\u003c\/li\u003e\n\u003cli\u003emore coverage of univariate effect sizes, confidence intervals, and effect sizes for repeated measures to reflect their increased use in research\u003c\/li\u003e\n\u003cli\u003emore software references for calculating effect sizes and their confidence intervals including SPSS, SAS, R, and S-Plus\u003c\/li\u003e\n\u003cli\u003ethe data used in the book are now provided on the web along with new data and suggested calculations with IBM SPSS syntax for computational practice.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cem\u003eEffect Sizes for Research\u003c\/em\u003e covers standardized and unstandardized differences between means, correlational measures, strength of association, and parametric and nonparametric measures for between- and within-groups data. \u003c\/p\u003e\u003cp\u003eIntended as a resource for professionals, researchers, and advanced students in a variety of fields, this book is also an excellent supplement for advanced statistics courses in psychology, education, the social sciences, business, and medicine. A prerequisite of introductory statistics through factorial analysis of variance and chi-square is recommended.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":54239446696280,"sku":"9780415877695","price":63.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9780415877695.jpg?v=1778731269","url":"https:\/\/agendabookshop.com\/products\/effect-sizes-for-research","provider":"Agenda Bookshop","version":"1.0","type":"link"}