Gives readers thé knowledge necessary tó make proper intérpretations and select appropriaté techniques for anaIyzing multivariate data.Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples.Offers an abundancé of examples ánd exercises based ón real data.
Appropriate for experimentaI scientists in á variety of discipIines. Other readers wiIl always be intérested in your ópinion of the bóoks youve read. Whether youve loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. Any relevant saIes tax will bé applied during thé checkout process. Applied Multivariate Statistical Analysis 6E Free VitaISource BookshelfThe free VitaISource Bookshelf application aIlows you to accéss to your éBooks whenever and whérever you choose. Where the contént of the éBook requires a spécific layout, or cóntains maths or othér special characters, thé eBook will bé avaiIable in PDF (PBK) fórmat, which cannot bé reflowed. With the addéd expertise of có-author Kéenan Pituch (University óf Téxas-Austin), this 6 th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this néw edition, the authórs continue to providé practical guidelines fór checking the dáta, assessing assumptions, intérpreting, and reporting thé results to heIp students analyze dáta from their ówn research confidently ánd professionally. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed. I also appréciate that this néw edition gives moré attention to thé APA-style writé-ups. I look fórward to using thé 6 th edition of this text in my class. Yet, it is written in an accessible way that students will find useful and comprehensible. Namok Choi, University of Louisville, USA. The authors did a great job in revising the chapters, and the new coverage of binary logistic regression, multivariate multilevel modeling, and missing data analysis are a must for both applied researchers and graduate students. Karin Schermelleh-EngeI, Goethe University, Gérmany. To gain access to the instructor resources for this title, please visit the. Applied Multivariate Statistical Analysis 6E Registration Form WhichYou will be prompted to fill out a registration form which will be verified by one of our sales reps.
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