本書的目的在于為教育實(shí)踐者在考試數(shù)據(jù)分析中應(yīng)該使用哪種方法以及如何使用該方法提出具體化和合理化的建議。研究結(jié)果有助于提高多組被試測(cè)量結(jié)果比較的可靠性和有效性，避免在應(yīng)用傳統(tǒng)方法時(shí)對(duì)參數(shù)指數(shù)的錯(cuò)誤選擇所帶來的影響，發(fā)揮Benjamini Hochberg法和校準(zhǔn)法在這方面的潛在優(yōu)勢(shì)。

張明才，博士，現(xiàn)為齊魯師范學(xué)院教師教育學(xué)院副教授。2020年獲美國(guó)密歇根州立大學(xué)哲學(xué)博士學(xué)位，專業(yè)為測(cè)量與數(shù)量方法。曾參與美國(guó)國(guó)家科學(xué)基金會(huì)和美國(guó)教育部等機(jī)構(gòu)的研究項(xiàng)目，并在密歇根州立大學(xué)統(tǒng)計(jì)培訓(xùn)與咨詢中心擔(dān)任統(tǒng)計(jì)分析咨詢員。研究方向?yàn)轫?xiàng)目反應(yīng)理論和結(jié)構(gòu)方程模型在教育測(cè)量中的應(yīng)用。在Structural Equation Modeling-A Multi-disciplinary Journal、 Reading andWriting、Genetica等SSCI/SCI 學(xué)術(shù)期刊發(fā)表論文多篇。

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