LEADER 03367nam 2200481 450 001 9910830351603321 005 20230612074812.0 010 $a1-119-58301-2 010 $a1-119-58300-4 010 $a1-119-58302-0 035 $a(CKB)4100000011809494 035 $a(MiAaPQ)EBC6524952 035 $a(Au-PeEL)EBL6524952 035 $a(OCoLC)1246548622 035 $a(EXLCZ)994100000011809494 100 $a20211014d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied univariate, bivariate, and multivariate statistics $eunderstanding statistics for social and natural scientists, with applications in SPSS and R /$fDaniel J. Denis 205 $aSecond edition. 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Incorporated,$d[2021] 210 4$dİ2021 215 $a1 online resource (576 pages) $cillustrations 311 08$a1-119-58304-7 320 $aIncludes bibliographical references and index. 327 $aPreliminary considerations -- Introductory statistics -- Analysis of variance : fixed effects models -- Factorial analysis of variance : modeling interactions -- Introduction to random effects and mixed models -- Randomized blocks and repeated measures -- Linear regression -- Multiple linear regression -- Interactions in multiple linear regression : dichotomous, polytomous, and continuous moderators -- Logistic regression and the generalized linear model -- Multivariate analysis of variance -- Discriminant analysis -- Principal components analysis -- Factor analysis -- Path analysis and structural equation modeling. 330 $a"This second edition improves greatly on the first edition by making the book more accessible to a wider audience, through minimizing theoretical or technical jargon and maximizing conceptual understanding with easy applied software examples. As a book for applied social science, only the absolute necessary mathematics are used in motivating conceptual development and applications. This allows researchers and their students to apply these methods quickly, efficiently, and with relative ease without having to wade through dense technical arguments. Assuming only minimal prior exposure to statistics, by completion the reader will have a solid intuitive grasp of introductory univariate to relatively advanced multivariate statistical methods and be able to apply them efficiently and effectively using software. This revised edition has been thoroughly vetted to correct errata found in the first edition, is more concise and easy to use, and will lend itself well for a textbook in applied courses at both the senior undergraduate and beginning graduate levels. The book will also serve as a useful reference for practitioners and researchers in the aforementioned fields"--$cProvided by publisher. 606 $aAnalysis of variance$vTextbooks 606 $aMultivariate analysis$vTextbooks 615 0$aAnalysis of variance 615 0$aMultivariate analysis 676 $a519.53 700 $aDenis$b Daniel J.$f1974-$01146666 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830351603321 996 $aApplied univariate, bivariate, and multivariate statistics$93939544 997 $aUNINA