作者：张明才
页数：107
出版社：中国海洋大学出版社
出版日期：2023
ISBN：9787567034600
高清校对版pdf（带目录）
前往页尾底部查看PDF电子书
内容简介
在潜变量模型框架下，本书通过模拟和实际考试数据分析系统比较了三种统计学方法，即自由基准法 (Free baseline method), Benjamini Hochberg法和校准法(alignment method)在识别测量工具在不同测试群体中参数变化的不对等情况。本书的目的在于为教育实践者在考试数据分析中应该使用哪种方法以及如何使用该方法提出具体化和合理化的建议。研究结果有助于提高多组被试测量结果比较的可靠性和有效性，避免在应用传统方法时对参数指数的错误选择所带来的影响，发挥 Benjamini Hochberg法和校准法在这方面的潜在优势。
作者简介
张明才，博士，现为齐鲁师范学院教师教育学院副教授。2020年获美国密歇根州立大学哲学博士学位，专业为测量与数量方法。曾参与美国国家科学基金会和美国教育部等机构的研究项目，并在密歇根州立大学统计培训与咨询中心担任统计分析咨询员。研究方向为项目反应理论和结构方程模型在教育测量中的应用。在Structural Equation Modeling-A Multi-disciplinary Journal、 Reading andWriting、Genetica等SSCI/SCI 学术期刊发表论文多篇。
目录
List of Tables
List of Figures
Chapter 1 An Overview
1.1 Introduction
1.2 Statement of the Problem
1.3 Purpose and Significance of the Study
1.4 Organization of the Book
Chapter 2 Theoretical Background of Measurement N0ninvariance
2.1 Introduction
2.2 The Concept of MI in LVM
2.3 Levels of MI
2.4 Violations of MI
2.5 Methods of Detecting Measurement Noninvariance
2.6 Chapter Summary
Chapter 3 Detection of Measurement Noninvarianee in a Simulated Study
3.1 Introduction
3.2 Simulation Design
3.3 Data Generation
3.4 Data Analysis Procedure
3.5 Evaluation Criteria
3.6 Results of the Simulation Study
3.7 Chapter Summary
Chapter 4 Detection of Measurement Noninvariance in an Empirical Study
4.1 Introduction
4.2 Empirical Dataset
4.3 Data Analysis Procedure
4.4 The Choice of an RI for the FR Method
4.5 Results of the Empirical Study
4.6 Chapter Summary
Chapter 5 Conclusions and Recommendations
5.1 Introduction
5.2 Summary of Findings
5.3 Comments on the Performances of the Three Methods
5.4 Implications and Recommendations
5.5 Limitations
Appendix A Technical Details for the B-H Method
Appendix B Technical Details for the AM Method
References
Postscript
List of Figures
Chapter 1 An Overview
1.1 Introduction
1.2 Statement of the Problem
1.3 Purpose and Significance of the Study
1.4 Organization of the Book
Chapter 2 Theoretical Background of Measurement N0ninvariance
2.1 Introduction
2.2 The Concept of MI in LVM
2.3 Levels of MI
2.4 Violations of MI
2.5 Methods of Detecting Measurement Noninvariance
2.6 Chapter Summary
Chapter 3 Detection of Measurement Noninvarianee in a Simulated Study
3.1 Introduction
3.2 Simulation Design
3.3 Data Generation
3.4 Data Analysis Procedure
3.5 Evaluation Criteria
3.6 Results of the Simulation Study
3.7 Chapter Summary
Chapter 4 Detection of Measurement Noninvariance in an Empirical Study
4.1 Introduction
4.2 Empirical Dataset
4.3 Data Analysis Procedure
4.4 The Choice of an RI for the FR Method
4.5 Results of the Empirical Study
4.6 Chapter Summary
Chapter 5 Conclusions and Recommendations
5.1 Introduction
5.2 Summary of Findings
5.3 Comments on the Performances of the Three Methods
5.4 Implications and Recommendations
5.5 Limitations
Appendix A Technical Details for the B-H Method
Appendix B Technical Details for the AM Method
References
Postscript
PDF更新中
- THE END -
非特殊说明，本博所有文章均为博主原创。
如若转载，请注明出处：https://www.xiazainiu.com/Wd1qk_5_4089.html
