000 02389nam a22002657a 4500
003 ZW-GwMSU
005 20240312093755.0
008 240229b |||||||| |||| 00| 0 eng d
020 _a9781544324906
040 _arda
_bEnglish
_erda
_cMSULIB
050 0 0 _aQA278.2 LIU
100 1 _aLiu, Xing
_c(Education professor),
_eauthor.
245 1 0 _aCategorical data analysis and multilevel modeling using R /
_cXing Liu, Eastern Connecticut State University.
264 1 _bSAGE,
_c[2023]
300 _axxxiii, 708 pages :
_billustrations ;
_c24 cm
336 _atext
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references (pages 689-694) and index.
505 0 _aR basics -- Review of basic statistics -- Logistic regression for binary data -- Proportional odds models for ordinal response variables -- Partial proportional odds models and generalized ordinal logistic regression models -- Other ordinal logistic regression models -- Multinomial logistic regression models -- Poisson regression models -- Negative binomial regression models and zero-inflated models -- Multilevel modeling for continuous response variables -- Multilevel modeling for binary response variables -- Multilevel modeling for ordinal response variables -- Multilevel modeling for count response variables -- Multilevel modeling for nominal response variables -- Bayesian generalized linear models -- Bayesian multilevel modeling of categorical response variables.
520 _a"Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains PowerPoint slides and solutions for the end-of-chapter exercises on the instructor site, and datasets and R commands used in the book on the student site"--
650 0 _aMultilevel models (Statistics)
650 0 _aR (Computer program language)
942 _2lcc
_cB
999 _c163923
_d163923