Handbook of Item Response Theory

- Three Volume Set

Forfatter: info mangler
Bog
  • Format
  • Bog, sampak
  • Engelsk
  • 1500 sider

Beskrivelse

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools.

A full update of editor Wim J. van der Linden and Ronald K. Hambleton’s classic Handbook of Modern Item Response Theory, this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced, with uniform notation, format, and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT.

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Detaljer
  • SprogEngelsk
  • Sidetal1500
  • Udgivelsesdato25-01-2018
  • ISBN139781466514393
  • Forlag CRC Press Inc
  • FormatSampak
Størrelse og vægt
  • Vægt3324 g
  • coffee cup img
    10 cm
    book img
    17,8 cm
    25,4 cm

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    Social science measurement PCM Test theory Discrimination parameter Rasch model Data set IRT 1PL Model Ability Parameters Adaptive Test Allan S. Cohen Anders Skrondal Bifactor Model April L. Zenisky Bengt Muthén Chun Wang Cees A. W. Glas Dani Gamerman Craig S. Wells Brian W. Junker Daniel Lewis David Thissen Ernesto San Martín Francis Tuerlinckx Frank Rijmen Geoff N. Masters Fumiko Samejima Hariharan Swaminathan Gerhard Tutz H. Jane Rogers David Andrich Han L. J. van der Maas Hanneke Geerlings Heinz Holling IRT Model Item Parameters James H. Albert Hua-Hua Chang Dylan Molenaar James O. Ramsay Eiji Muraki IRT in psychological testing J. Patrick Meyer Jeroen K. Vermunt Latent Variable Eric Wu Li Cai Margaret L. Wu Mark D. Reckase IRT in marketing research Linda Muthén Ivo W. Molenaar Michele F. Zimowski Jieun Lee Jürgen Rost Klaas Sijtsma Kyung (Chris) T. Han Mari Muraki Michael A. Kallen Flo B. Gonçalves George Karabatsos Mark R. Wilson Martijn P. F. Berger Matthew S. Johnson Nathan M. VanHoudnos Matthias von Davier Gideon J. Mellenbergh Naveed Khalid Michelle D. Barrett Murray Aitkin Gerhard H. Fischer Paul De Boeck Number Correct Scores Observed Score Distribution Posterior Distributions Patrick Mair GPCM Polytomous Items Reinhold Hatzinger Robert J. Mislevy Ronald K. Hambleton Rianne Janssen Sandip Sinharay IRT in medical diagnosis Item Response Models Jean-Paul Fox Jodi M. Casabianca John Mazzeo Shelby J. Haberman Ron D. Hays Latent Trait IRT in educational testing statistical tools for IRT Jennifer Lord-Bessen Martijn G. de Jong Tim Moses James S. Roberts Nathan A. Thompson Susan E. Embretson Margo G. H. Jansen Normal Ogive Model MCMC Algorithm Zhiliang Ying Minjeong Jeon Richard J. Patz Richard M. Luecht Seung W. Choi Sophia Rabe-Hesketh Rainer Schwabe Tihomir Asparouhov Richard C. Gershon Peter M. Bentler Raymond J. Adams Robert D. Gibbons Sun-Joo Cho Thomas Rusch Tufi M. Soares Ulf Böckenholt

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