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论坛 计量经济学与统计论坛 五区 计量经济学与统计软件 IRT理论相关软件
11450 21
2009-12-02
请教各位牛人,目前分析IRT的软件有conquest,winsteps,Bilog,Multilog,BilogMG,Parsale等,哪位牛人能告诉我这些软件适用于处理什么样的数据?特别是Bilog,我有些迷糊,敬请赐教,谢谢!
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2009-12-2 10:33:47
补充一下:还有关于Parscale,谁知道这个软件可以同时估计多少题目呢?我这里目前有600多道题目,请问可以同时估计吗?
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2009-12-2 12:47:23
我这里有在网站上找的一些资料,但是都是偏软件性的,我希望各位达人能提供实践性的经验分享,再次感谢!
Item Response Theory           - 项目反应理论软件包
项目反应理论 (Item Response Theory,称简IRT) 包括一组分析软件包: BILOG-MG, MULTILOG, PARSCALE, and TESTFACT。这些软件作为题目分析、题库建设以及分数估计等方面的重要工具在各个领域被广泛应用。

BILOG-MG
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.
MULTILOG
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.
PARSCALE
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.
TESTFACT
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.
转自:http://www.pomine.com/show_software.aspx?pName=IRT
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2009-12-2 16:39:03
论坛太火了,已经沉到大海里去了
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2009-12-8 20:48:02
DDDDDDDDDDD
有兴趣
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2009-12-11 08:33:48
网络上倒是有试用版的不知道哪位有正式版的。
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