Modern Psychometrics with R

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Különgyűjtemény:e-book
Formátum: könyv
Nyelv:angol
Megjelenés: Cham : : Springer International Publishing : : Imprint: Springer,, 2018
Kiadás:1st ed. 2018.
Sorozat:Use R!,, ISSN 2197-5736
Tárgyszavak:
Online elérés:https://doi.org/10.1007/978-3-319-93177-7
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100 1 |a Mair, Patrick.  |e szerző  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Modern Psychometrics with R  |c by Patrick Mair. 
250 |a 1st ed. 2018. 
260 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018 
300 |a XIII, 458 p. 155 illus., 96 illus. in color.  |b online forrás 
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490 1 |a Use R!,  |x 2197-5736 
505 0 |a Classical 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. 
520 |a This 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. 
580 |a Nyomtatott kiadás: ISBN 9783319931753 
580 |a Nyomtatott kiadás: ISBN 9783319931760 
506 |a Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. 
598 |a könyv 
595 |a e-book 
650 0 |a Statistics. 
650 0 |a Psychometrics. 
650 0 |a Psychological tests and testing. 
650 0 |a Mathematical statistics. 
650 1 4 |a Statistics for Social Sciences, Humanities, Law. 
650 2 4 |a Psychometrics. 
650 2 4 |a Psychological Methods/Evaluation. 
650 2 4 |a Statistics and Computing/Statistics Programs. 
653 |a elektronikus könyv 
710 2 |a SpringerLink (Online service)  |e közreadó testület 
830 0 |a Use R!,  |x 2197-5736 
856 4 0 |y Online változat  |u https://doi.org/10.1007/978-3-319-93177-7 
850 |a B2 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018