Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)

 

A  Academic and non-academic licenses for IRT software products
  • SSI, Inc. offers academic and non-academic (production and commercial) licenses for its IRT software products.
  • Academic licenses for BILOG-MG 3, MULTILOG 7, PARSCALE 4, and TESTFACT 4 for Windows are available separately.
  • Academic licenses apply to end users that intend to use the software exclusively for academic research and instruction.
  • Academic licenses can be ordered using the online PDF order forms providing an academic email address.
  • Non-academic licenses apply to end users that intend to use the software for assessment.
  • Non-academic license agreements are prepared on a case to case (individual) basis. For details, see: http://www.ssicentral.com/ordering/academic.html
B  BILOG-MG 3 by Michele Zimowski, Eiji Muraki, Robert Mislevy & Darrell Bock

  • Graphical user interface
  •  Efficient analysis of binary items including multiple choice or short-answer items scored right, wrong, omitted, or not-presented
  •  Capable of large scale production analysis, and handling of multiple groups
  •  Performs item analysis and scoring of any number of subtests or subscales
  •  Non-equivalent groups equating
  •  Vertical equating of test forms
  •  Differential item functioning (DIF)
  •  Detection and correction for parameter trends over time (DRIFT)
  •  Calibration and Scoring of tests in two-stage testing procedures
  •  Estimation of latent ability or proficiency distributions
  •  Provision for items inserted in tests to estimate item statistics, but not included in calculation of examinee scores ("variant items")
  •  Item fit statistics, theoretical and empirical reliability
  •  Information curves and reliabilities for putative test forms
  •  Presentation quality IRT graphics, can be imported in Word, Access, etc.
  •  Detailed online HELP documentation includes description of interface, syntax, and examples.
M  MULTILOG 7 by David Thissen, Wen-Hung Chen & Darrell Bock
  •  Easy to use graphical user interface
  •  One, two and three-parameter logistic models
  •  Samejima's model for graded responses
  •  Bock's model for nominal (non-ordered) responses
  •  Steinberg's model for multiple-choice items
  •  Handling of multiple-alternative items, such as multiple-choice tests or Likert-type attitude questionnaires
  •  Scoring of items with multiple alternatives
  •  Differential item functioning (DIF)
  •  Handling of data from several populations simultaneously
  •  Analysis of mixtures of items types
  •  Testing of item parameters across groups
  •  Handling of equality constraints and fixed parameters
  •  Presentation quality IRT graphics, can be imported in Word, Access, etc.
  •  Detailed online HELP documentation includes description of interface, syntax, and examples.
P  PARSCALE 4 by Eiji Muraki & Darrell Bock
  •  The flexibility and the wealth of information provided by this program have kept it in regular use by researchers around the world
  •  One, two, and three-parameter logistic models
  •  Samejima's model for graded responses
  •  Master's partial credit model
  •  Generalized partial credit model
  •  Analysis of rating scale items such as open-ended essay questions
  •  Analysis of multiple-choice items
  •  Differential item functioning (DIF)
  •  Analysis of mixtures of item types
  •  Rater's-effect analysis
  •  Multiple-group polytomous item response models
  •  Presentation quality IRT graphics, can be imported in Word, Access, etc.
  •  Detailed online HELP documentation includes syntax and examples.
T  TESTFACT 4 by R. Wood, D. Wilson, R. Gibbons, S. Schilling, E. Muraki & D. Bock
  •  Marginal maximum likelihood (MML) exploratory factor analysis and classical item analysis of binary data
  • Computes tetrachoric correlations, principal factor solution, classical item descriptive statistics, fractile tables and plots
  • Handles up to 10 factors using numerical quadrature: up to 5 for non-adaptive and up to 10 for adaptive quadrature
  • Handles up to 15 factors using Monte Carlo integration techniques
  • Varimax (orthogonal) and PROMAX (oblique) rotation of factor loadings
  • Handles an important form of confirmatory factor analysis known as "bifactor" analysis: Factor pattern consists of one main factor plus group factors
  • Simulation of responses to items based on user specified parameters
  • Correction for guessing and not-reached items
  • Allows imposition of constraints on item parameter estimates
  • Handles omitted and not-presented items
  • Detailed online HELP documentation includes syntax and annotated examples.

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