- PARSCALE
- 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.
- Windows
- 美国
- 英文
- 电话:021-64391516,传真:021-64391506

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- MULTILOG (专业的IRT多项度测试软件)
- 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 mu...

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- BILOG-MG (专业的项目反应测试软件)
- 项目反应理论(Item Response Theory,简称IRT)包括一组分析套装软件: BILOG-MG, MULTILOG, PARSCALE, and TESTFACT 试题反应理论(IRT)的应用 编制测验(量表) 测验等化 建立题库 组合测验 电脑化适性测验 这些软件可作为题目分析以及分数估计等方面的重要工具,并且在各个领域被广泛应用。 BILOG-MG是适用于二元计分(对与错)试题logistic模式之试题参数及考生能力之...

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- AUXAL (专业的结构模型数据分析软件)
- Fast, comprehensive analysis of data from longitudinal growth studies is now available on your desktop with the AUXAL program from SSI. 1,Structural Analysis with the BTT Model or the JPA2 Model 2,Nonstructural Analysis by Fourier Transform of Residuals or Kernel Smoothing The program performs both structural and nonstructural auxological an...

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- HLM (专业的分层线性和非线性模型分析软件)
- HLM程序包能够根据结果变量来产生带说明变量(explanatory variable,利用在每层指定的变量来说明每层的变异性)的线性模型.HLM不仅仅估计每一层的模型系数,也预测与每层的每个采样单元相关的随机因子(random effects).虽然HLM常用在教育学研究领域(该领域中的数据通常具有分层结构),但它也适合用在其它任何具有分层结构数据的领域.这包括纵向分析( longitudinal analysis),在...

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- Lisrel (Lisrel强大的结构方程式模块分析工具)
- LISREL 8.8 被公认为最为专业的结构方程建模(Structural Equation Modeling,简称SEM)分析工具。通过运用路径图(Path Diagram,又称通径图)直观地构造结构模型是LISREL的一个重要特点。在LISREL 8.8 中,新增针对复杂调查数据的统计模型并且在图型绘制上更为容易。新版本特色如下:建构潜在曲线模型(Structured latent curve models)、顺序尺度变量因素分析(Factor analysis...
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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