BILOG: Item analysis and test scoring with binary logistic models. BILOG-MG is an extension of BILOG that is designed for the efficient analysis of binary items, including multiple-choice or short-answer items scored right, wrong, omitted, or not-presented. BILOG-MG is capable of large-scale production applications with unlimited numbers of items or respondents. It can perform item analysis and scoring of any number of subtests or subscales in a single program run. All the program output may be directed to text files for purposes of selecting items or preparing reports of test scores.

References in zbMATH (referenced in 63 articles )

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  1. Fu, Zhihui; Zhang, Xue; Tao, Jian: Gibbs sampling using the data augmentation scheme for higher-order item response models (2020)
  2. Andersson, Björn; Wiberg, Marie: Item response theory observed-score kernel equating (2017)
  3. Baker, Frank B.; Kim, Seock-Ho: The basics of item response theory using R (2017)
  4. Battauz, Michela: Multiple equating of separate IRT calibrations (2017)
  5. Ip, Edward H.; Chen, Shyh-Huei; Quandt, Sara A.: Analysis of multiple partially ordered responses to belief items with don’t know option (2016)
  6. Lee, Young-Sun: Psychometric analyses of the Birthday Party (2016) MathEduc
  7. Price, Larry R.: Psychometric methods. Theory into practice (2016)
  8. van der Linden, Wim J.; Barrett, Michelle D.: Linking item response model parameters (2016)
  9. Dylan Molenaar;Francis Tuerlinckx; Han van der Maas: Fitting Diffusion Item Response Theory Models for Responses and Response Times Using the R Package diffIRT (2015) not zbMATH
  10. Michela Battauz: equateIRT: An R Package for IRT Test Equating (2015) not zbMATH
  11. Bradshaw, Laine; Templin, Jonathan: Combining item response theory and diagnostic classification models: a psychometric model for scaling ability and diagnosing misconceptions (2014)
  12. David Magis, Bruno Facon: deltaPlotR: An R Package for Differential Item Functioning Analysis with Angoff’s Delta Plot (2014) not zbMATH
  13. Yuan, Ke-Hai; Cheng, Ying; Patton, Jeff: Information matrices and standard errors for MLEs of item parameters in IRT (2014)
  14. Embretson, Susan E.; Yang, Xiangdong: A multicomponent latent trait model for diagnosis (2013)
  15. Zhang, Jinming: A procedure for dimensionality analyses of response data from various test designs (2013)
  16. Azevedo, Caio L. N.; Andrade, Dalton F.; Fox, Jean-Paul: A Bayesian generalized multiple group IRT model with model-fit assessment tools (2012)
  17. Cole, Yaa: Assessing elemental validity: the transfer and use of mathematical knowledge for teaching measures in Ghana (2012) MathEduc
  18. Delaney, Seán: A validation study of the use of mathematical knowledge for teaching measures in Ireland (2012) MathEduc
  19. Fauskanger, Janne; Jakobsen, Arne; Mosvold, Reidar; Bjuland, Raymond: Analysis of psychometric properties as part of an iterative adaptation process of MKT items for use in other countries (2012) MathEduc
  20. Zhang, Jinming; Xie, Minge; Song, Xiaolan; Lu, Ting: Investigating the impact of uncertainty about item parameters on ability estimation (2011)

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