EQSIRT 1.0-项目反应理论软件包

EQSIRT-一套综合的项目反应理论(IRT,Item Response Theory)软件包-was developed with funding by the U.S. National Cancer Institute through a Small Business Innovation Research (SBIR) grant motivated by NIH’s Patient Reported Outcomes (PROMIS) initiative.

Authors and contributors: EQSIRT was designed by Eric Wu and Peter Bentler, who developed EQS, a popular structural equations modeling program. It was developed with IRT experts Patrick Mair and Steven Reise. Coherent and creative statistical programming was directed by Sam He, and complex interfaces were directed by Guisuo Guo.

EQSIRT有一整套模型构建器来简化可重用IRT命令的构建。类似EQS，程序包括完整的业务数据管理和重用的统计组件来进行初步的数据筛选。EQSIRT是跨平台的，支持 Microsoft Windows, Apple’s Mac OS X (10.6 或更高), 和各种Linux操作系统。

EQSIRT支持下列方法：

I.项目反应理论

1.经典项目分析(Classical Item Analysis)

2.Dimensionality Assessment

A.Correlation Based Exploratory Factor Analysis
B.Full Information Exploratory Factor Analysis

3.IRT模型

A.一维模型(Unidimensional Models)
a)Binary data
·Rasch, 1PL, 2PL, and 3PL Models
·Parameter Estimation with MML and MCMC
b) Polytomous Data
·Graded Response Model (GRM)
·Generalized Partial Credit Model (GPCM)
·Nominal Response Model (NRM)

B.多维模型(Multidimensional Models)
a) Binary data
·Rasch, 1PL, 2PL, and 3PL Models
·Multiunidimensional Parameter Estimation with MCMC

b) Polytomous Data
·Graded Response Model (GRM)
·Generalized Partial Credit Model (GPCM)

C.IRT Models with a Non-Normal Latent Trait (unidimensional only)

D.Models with Equality and Fixed Constraints

E. Multisample IRT Models (both uni and multidimensional models)

F. Latent Traits Computed and Trait Scores Appended in Data Editor

G.IRT Models with Covariates (MML version of GNLMM method)

H.Differential Item Functioning (DIF)

I.Equating

J.Multilevel Models

K.R Scripts Generated for IRT Plots

4. 潜在类别分析(Latent Class Analysis)
·With Combination of Binary, Ordinal, and Continuous Items
·Estimated Class Membership Appended to Data Editor

5. Mokken Scale Analysis

6. EQSIRT Simulation

II.数据管理和常用统计模块

1.数据导入和导出

·导入固定和自由格式文本数据
·导入SPSS数据
·导入Microsoft Excel数据表
·导出数据到SPSS
·导出数据到Excel数据表

2.数据管理

·Insert and Delete Row and Columns
·Join Variables and Merge Samples
·Define Missing Data
·Sort Cases
·Comprehensive Case Selections
·Re-group and Collapse Categories
·Expand Compacted Data into Regular Data Set
·Comprehensive Transformation

3. 统计分析(这些特征在Mac和Linux版本中不提供)
·描述性统计，频率和t检验
·交叉表(Cross-tabulation)
·方差分析(ANOVA)和广义线性模型(Generalized Linear Model)
·回归分析(Regression Analysis)
·非参数检验(Nonparametric Tests)
·遗漏值诊断和插补(Missing Data Diagnosis and Imputation)

4. Data Plots on Variables

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