用Flexmirt2.0进行认知诊断模型分析


Flexmirt2.0试用版，具备全部功能，但只能用14天，对于写论文的同学也许够用了
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Flexmirt2.0的手册目录，其中认知诊断模型分析详见第六章节
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Contents
1 Overview
2 Basic Calibration and Scoring
2.1 Overview
2.2 Single-Group 2PL Model Calibration
2.3 Single-Group 3PL Model Calibration
2.4 Single-Group 3PL EAP Scoring
2.5 Single-Group 3PL ML Scoring
2.6 Graded Model Calibration and Scoring
2.7 1PL Model Fitted to Response Pattern Data
2.8 The Nominal Categories Model
2.8.1 Nominal Model
2.8.2 Generalized Partial Credit Model
2.8.3 Rating Scale Model
3 Advanced Modeling 40
3.1 Multiple Group Calibration
3.2 Characterizing Non-Normal Population Distributions
3.3 Multiple Group Scoring Only
3.4 DIF Analyses
3.5 Multiple Group Multilevel Model
3.6 Multidimensional Model - 4 Correlated Factors
3.7 The Bifactor Model
3.7.1 Bifactor Model Using the Reparameterized Nominal Categories
Model
3.7.2 Bifactor Model Using the 2PL
4 Simulation
4.1 A Syntax-Only Example Using Value Statement
4.2 The First Example Redone Using Parameter File
4.3 The Parameter File Layout
4.3.1 Column Progression for Groups
4.3.2 Column Progression for Items
4.4 A 3PL Model Simulation Example
4.5 Simulating Data with Non-Normal Theta Distributions
4.6 Simulating Bifactor Model Data
4.7 Simulating Group Differences
4.8 Multilevel Bifactor Model Simulation
4.9 Internal Simulation Function
4.9.1 Accessing the Internal Simulation Function
4.9.2 The Simulation Output File
5 Metropolis-Hastings Robbins-Monro Estimation for High
Dimensional Models
5.1 Overview of MH-RM Estimation
5.2 MH-RM Specific Syntax Options
5.3 Examples Utilizing MH-RM Estimation
5.3.1 MIRT Model with Correlated Factors
5.3.2 Multi-level MIRT Model
6 Cognitive Diagnostic Models
6.1 General CDM Modeling Framework
6.2 CDM Specific Syntax Options
6.3 CDM Modeling Examples
6.3.1 Introductory CDM Examples
6.3.2 Replicating Published Examples
7 Details of the Syntax
7.1 The Project Section
7.2 The Options Section
7.3 The Groups Section
7.4 The Constraints Section
8 Models
8.1 A Generalized Formulation
8.2 Item Response Models
8.2.1 Model with Pseudo-Guessing Parameter
8.2.2 Graded Response Model
8.2.3 Nominal Categories Model

Appendices
A Quick-Start Installation and User Guide
A.1 Installing flexMIRT
A.2 Using flexMIRT
B flexMIRT via the Command Line Interface
B.1 System Preparation
B.2 flexMIRT via the CLI - single file run
B.3 flexMIRT via the CLI - batch mode
C Plotting
C.1 Plotting ICCs, TCCs, and Information Functions
D Labeled Output Files
E Licensing Information
E.1 Commercial use of flexMIRT
E.2 Classroom Discounts for flexMIRT
References
Index