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 Scientific Software International


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Scientific Software International (SSI) Products page

 Software published by SSI:

SSI Products: SEM products Structural Equation Modeling
SSI: Hierarchical Linear Modeling/Multilevel Analysis products Hierarchical Linear Modeling
SSI: Item Response Theory (IRT) Products Item Response Theory Applications
SSI: Multivariate Applications Multivariate Applications
SSI Betaware System Requirements
SSI Betaware Visit the SSI Bookstorefor more information on user's guides and books available from SSI.

System Requirements:

  • All Windows software can be installed on a PC running Windows 95 or better. 


SSI: Structural Equation Modeling with LISREL
 LISREL 8 by K.G. Joreskog & D. Sorbom. LISREL 8.7 is available for MS Windows (95, 98, Me, NT, 2000, and XP), AIX, Solaris, and TRU64 on RISC hardware, OpenVMS on Alpha systems, and Linux on Intel compatible computers. LISREL 8.7 is available for the Mac (OS 9).


SSI: Hierachical Linear modeling with HLM
 HLM 5 by S.W. Raudenbush, A.S. Bryk & R.T. Congdon.
Available for Windows and Unix.

SSI: Item Response Theory (IRT) Applications
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 include description of interface, syntax, and examples.

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 include description of interface, syntax, and examples.

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 include syntax and examples.

by Robert Wood, Douglas Wilson, Robert Gibbons, Stephen Schilling, Eiji Muraki, & Darrell 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 include syntax and annotated examples.

SSI: Analysis of Variance with MULTIVARIANCE
R. D. Bock, Stephen H. du Toit, & D. Thissen
Auxological Analysis of Longitudinal Measurements of Human Stature.

SSI Betaware

See SSI BETAWARE for more information on this SSI service.

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