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Modern Psychometrics with R (Use R!)
US $43.77
ApproximatelyS$ 55.66
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: Springdale, Arkansas, United States
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eBay item number:197239109574
Item specifics
- Condition
- Release Year
- 2018
- ISBN
- 9783319931753
About this product
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
331993175X
ISBN-13
9783319931753
eBay Product ID (ePID)
5038771494
Product Key Features
Book Title
Modern Psychometrics with R
Number of Pages
Xiii, 458 Pages
Language
English
Publication Year
2018
Topic
Programming Languages / General, Assessment, Testing & Measurement, Statistics, Research & Methodology
Illustrator
Yes
Genre
Computers, Social Science, Psychology
Book Series
Use R! Ser.
Format
Trade Paperback
Dimensions
Item Weight
25.3 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Reviews
"The book gives an exhaustive overview of statistical methods that may be used when analyzing results of research in psychology. Main accent is on the use of R software during analysis of data. The main goal of the book is to provide the reader with main methods used for data analysis and how those methods may be executed using software package R." (Jonas Siaulys, zbMath 1414.62006, 2019)
Number of Volumes
1 vol.
Table Of Content
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.
Synopsis
Fills need in existing literature for textbook on R and Psychometrics Broadens perspective from classical methods (for instance, latent variable models) to emphasize contemporary methodology (multidimensional scaling, functional data analysis, fMRI analysis) Accompanying datasets and reproducible code allow readers to move beyond the conceptual, 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.
LC Classification Number
HA1-4737
Item description from the seller
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