LEADER 04513nam 22006375 450 001 9910300140003321 005 20220623150229.0 010 $a3-319-93177-6 024 7 $a10.1007/978-3-319-93177-7 035 $a(CKB)4100000006674925 035 $a(DE-He213)978-3-319-93177-7 035 $a(MiAaPQ)EBC6312862 035 $a(PPN)23053967X 035 $a(EXLCZ)994100000006674925 100 $a20180920d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModern Psychometrics with R /$fby Patrick Mair 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 458 p. 155 illus., 96 illus. in color.) 225 1 $aUse R!,$x2197-5736 311 $a3-319-93175-X 327 $aClassical Test Theory.-Factor Analysis -- Path Analysis and Structural Equation Models -- Item Response Theory -- Preference Modeling -- Principal Component Analysis and Extensions -- Correspondence Analysis -- Gifi Methods -- Multidimensional Scaling -- Biplots -- Networks -- Parametric Cluster Analysis and Mixture Regression -- Modeling Trajectories and Time Series -- Analysis of fMRI Data. 330 $aThis textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences. 410 0$aUse R!,$x2197-5736 606 $aStatistics 606 $aPsychometrics 606 $aPsychology?Methodology 606 $aPsychometrics 606 $aR (Computer program language) 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aPsychometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/Y43000 606 $aPsychological Methods/Evaluation$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20040 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 615 0$aStatistics. 615 0$aPsychometrics. 615 0$aPsychology?Methodology. 615 0$aPsychometrics. 615 0$aR (Computer program language) 615 14$aStatistics for Social Sciences, Humanities, Law. 615 24$aPsychometrics. 615 24$aPsychological Methods/Evaluation. 615 24$aStatistics and Computing/Statistics Programs. 676 $a150.28553 700 $aMair$b Patrick$4aut$4http://id.loc.gov/vocabulary/relators/aut$0740687 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300140003321 996 $aModern psychometrics with R$91557815 997 $aUNINA