{"title":"Andrew Rutherford","description":"\u003cp\u003eWelcome to the collection of books by Andrew Rutherford, a prominent figure in the field of statistics within the Science \u0026amp; Nature category. Renowned for his insightful and accessible approach, Rutherford's works focus on complex statistical methods, with detailed explanations that make them approachable for both novices and experienced practitioners alike.\u003c\/p\u003e\n\n\u003cp\u003eAmong his key publications are \u003cem\u003eANOVA\u003c\/em\u003e and \u003cem\u003eANCOVA\u003c\/em\u003e, which delve into the intricacies of these statistical techniques. These books are invaluable resources for anyone looking to deepen their understanding of analysis of variance and analysis of covariance, providing practical examples and thorough explanations to enhance learning and application.\u003c\/p\u003e\n\n\u003cp\u003eRutherford's clear articulation of statistical methods makes his books an essential addition to any academic or professional library, and a great tool for students, researchers, and analysts keen on expanding their knowledge in the ever-evolving world of statistical science.\u003c\/p\u003e","products":[{"product_id":"anova-and-ancova-by-andrew-rutherford-9780470385555","title":"ANOVA and ANCOVA","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cstrong\u003eProvides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\n\n\u003cp\u003e\u003cem\u003eANOVA and ANCOVA: A GLM Approach\u003c\/em\u003e provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organised and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA.\u003c\/p\u003e\n\n\u003cp\u003eThe book begins with a brief history of the separate development of ANOVA and regression analyses, and then goes on to demonstrate how both analyses are incorporated into the understanding of GLMs. This new edition now explains specific and multiple comparisons of experimental conditions before and after the Omnibus ANOVA, and describes the estimation of effect sizes and power analyses leading to the determination of appropriate sample sizes for experiments to be conducted. Topics that have been expanded upon and added include:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eDiscussion of optimal experimental designs\u003c\/li\u003e\n    \u003cli\u003eDifferent approaches to carrying out the simple effect analyses and pairwise comparisons with a focus on related and repeated measure analyses\u003c\/li\u003e\n    \u003cli\u003eThe issue of inflated Type 1 error due to multiple hypotheses testing\u003c\/li\u003e\n    \u003cli\u003eWorked examples of Shaffer's R test, which accommodates logical relations amongst hypotheses\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cem\u003eANOVA and ANCOVA: A GLM Approach\u003c\/em\u003e, Second Edition is an excellent book for courses on linear modeling at the graduate level. It is also a suitable reference for researchers and practitioners in the fields of psychology and the biomedical and social sciences.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46853969707244,"sku":"9780470385555","price":259.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/12620103482355.jpg?v=1759228818"}],"url":"https:\/\/bookhero.co.nz\/collections\/andrew-rutherford.oembed","provider":"Book Hero","version":"1.0","type":"link"}