Measurement error and research design
Measurement error and research design
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测量误差和研究设计
DOI：
10.4135/9781412984935
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
M. Viswanathan
中科院分区：
文献类型：
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作者：
M. Viswanathan
前言-理查德Bagozzi前言致谢1.什么是测量？概述什么是测量误差？传统测量开发程序概述概念和操作定义领域界定测量设计和项目生成内部一致性可靠性测试-重测可靠性验证性-探索性因素分析验证性-验证性因素分析和结构方程建模有效性测量概述附录2.什么是测量误差？概述随机误差系统误差随机误差和系统误差的类型测量误差通过误差模式的响应模式测量误差摘要附录3.什么原因导致测量误差？概述测量误差来源误差来源分类总结4.经验程序能精确指出测量误差的类型吗？概述内部一致性可靠性程序测试-重测可靠性程序因素分析程序有效性测试摘要5.在测量开发中如何识别和纠正测量误差？概述识别和纠正测量发展中的错误的指导原则设计心理测量测试的一般问题项目与总相关性（内部一致性程序）项目平均值测试-重测相关性（测试-重测可靠性）因素负荷（探索性因素分析）弹性（验证性因素分析）交叉结构相关性（有效性测试）未来使用测量的条件讨论摘要6.如何通过创新设计和分析来识别错误？概述使用内部一致性和重测信度的连接使用相关性跨项目级相关性项目排序效果的实证评估总结7.如何衡量？概述以刺激为中心与以应答者为中心的量表结构的形成性和反映性指标总结8.跨学科的测量和测量的例子有哪些？概述测量类型反应类型量表的具体例子来自不同的行业跨文化测量总结9.了解测量误差对研究设计和分析的影响是什么？概述在研究设计中使用测量的意义对使用结构方程模型的意义对应用研究的意义摘要10.测量误差如何影响研究设计？概述研究设计的类型调查设计中的测量误差实验设计中的测量误差研究设计和测量误差摘要附录11.测量在科学中的作用是什么？概述测量的假设定性与定量研究测量的“可测量”从物理到心理测量非正式测量测量伦理总结12.本书的主要原则和指导方向是什么？概述章节摘要对测量和研究设计的影响方向摘要参考文献索引关于作者
Foreword - Richard Bagozzi Preface Acknowledgments 1. WHAT IS MEASUREMENT? Overview What Is Measurement Error? Overview of Traditional Measure Development Procedures Conceptual and Operational Definitions Domain Delineation Measure Design and Item Generation Internal Consistency Reliability Test-Retest Reliability Dimensionality - Exploratory Factor Analysis Dimensionality - Confirmatory Factor Analysis and Structural Equation Modeling Validity General Issues in Measurement Summary Appendices 2. WHAT IS MEASUREMENT ERROR? Overview Random Error Systematic Error Types of Random and Systematic Error Illustrations of Measurement Error Through Error Patterns Patterns of Responses in Measurement Error Summary Appendix 3. WHAT CAUSES MEASUREMENT ERROR? Overview Sources of Measurement Error Taxonomy of Error Sources Summary 4. CAN EMPIRICAL PROCEDURES PINPOINT TYPES OF MEASUREMENT ERROR? Overview Internal Consistency Reliability Procedures Test-Retest Reliability Procedures Factor Analysis Procedures Validity Tests Summary 5. HOW CAN MEASUREMENT ERROR BE IDENTIFIED AND CORRECTED FOR IN MEASURE DEVELOPMENT? Overview Guidelines for Identifying and Correcting For Error in Measure Development Generic Issues in Designing Psychometric Tests Item-to-Total Correlations (Internal Consistency Procedures) Item Means Test-Retest Correlations (Test-Retest Reliability) Factor Loadings (Exploratory Factor Analysis) Residuals (Confirmatory Factor Analysis) Cross-Construct Correlations (Validity Tests) Conditions of Future Use of Measures Discussion Summary 6. HOW CAN ERROR BE IDENTIFIED THROUGH INNOVATIVE DESIGN AND ANALYSES? Overview Using Internal Consistency and Test-Retest Reliability in Conjunction Using Correlations Across Item-Level Correlations Empirical Assessment of Item-Sequencing Effects Summary 7. HOW DO MEASURES DIFFER? Overview Stimulus-Centered Versus Respondent-Centered Scales Formative and Reflective Indicators of Constructs Summary 8. WHAT ARE EXAMPLES OF MEASURES AND MEASUREMENT ACROSS VARIOUS DISCIPLINES? Overview Types of Measures Types of Response Formats Specific Examples of Scales From Different Disciplines Cross-Cultural Measurement Summary 9. WHAT ARE THE IMPLICATIONS OF UNDERSTANDING MEASUREMENT ERROR FOR RESEARCH DESIGN AND ANALYSIS? Overview Implications for Using Measures in Research Design Implications for Using Structural Equation Modeling Implications for Applied Research Summary 10. HOW DOES MEASUREMENT ERROR AFFECT RESEARCH DESIGN? Overview Types of Research Designs Measurement Error in Survey Designs Measurement Error in Experimental Designs Research Design and Measurement Error Summary Appendices 11. WHAT IS THE ROLE OF MEASUREMENT IN SCIENCE? Overview Assumptions of Measurement Qualitative Versus Quantitative Research Measuring the "Measurable" From Physical to Psychological Measurement Informal Measurement Ethics in Measurement Summary 12. WHAT ARE THE KEY PRINCIPLES AND GUIDING ORIENTATIONS OF THIS BOOK? Overview Summary of Chapters Implications for Measurement and Research Design Summary of Orientations References Index About the Author