Longitudinal Structural Equation Modeling
Longitudinal Structural Equation Modeling
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发表时间：
2013-02
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通讯作者：
T. Little
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作者：
T. Little
开场白。个人介绍和期待的事情。统计学是如何走进我的生活的。我对这本书的态度。这本书的主要特点。这本书的概述。使用的数据集和度量。我的数据集包含了生活中感受到的能量和情绪(我感觉到)的测量。我的感觉。加拉赫和约翰逊的MIDUS例子。神经质。负面影响。多萝西·埃斯佩拉奇的欺凌和被害的例子。同龄人的受害者。物质使用。家庭冲突。亲密无间。欺凌弱小。仇视同性恋的调侃。迟来的感激。预防性道歉。第一部分：概述和扫描电子显微镜基础。扫描电子显微镜的概念基础概述。概念、构造和指标。从概念到构造再到指标再到好的模型。测量中的差异来源。经典检验定理。推广经典检验定理。指标和结构的特点。指标和构造的类型。范畴指标与度量指标和结构的对比。可以建模的相关系数的类型。指标及其作用的简单分类。重新调整变量的比例。包裹。什么变化以及如何变化？对扫描电子显微镜编程的一些建议。哲学问题以及我如何进行研究。总结。本章介绍的关键术语和概念。推荐读数。第二部分：纵向研究中的设计问题。测量的时间和时间的概念化。横截面设计。单队列纵向设计。交叉序贯设计。队列--顺序设计。时序设计。其他有效性问题。时间设计。在测量间隔内滞后。插曲和体验的时间。缺失数据推算和计划缺失的设计。缺少数据机制。建议和注意事项。纵向研究中的计划缺失数据设计。在上下文中对发展过程进行建模。总结。本章介绍的关键术语和概念。推荐读数。第三部分：计量模型。绘图和标签约定。定义构造的参数。比例设置。身份证明。在模型中添加手段：标尺设置和手段识别。将纵向构件添加到CFA模型。将虚拟构造添加到CFA模型。总结。本章介绍的关键术语和概念。推荐读数。第四部分：模型拟合度、样本量和威力。模型配合和配合指数的类型。统计学原理。建模的基本原理。纵向零模型。总结和注意事项。样本大小。权力。总结。本章介绍的关键术语和概念。推荐读数。第五部分：纵向CFA模式。阶乘不变性。一个小的(近乎完美的)数据例子。结构阶乘不变性。弱阶乘不变性。强阶乘不变性。评估不变性约束。模型修改。部分不变性。一个更大的例子紧随其后的是潜在结构关系的测试。测试潜在结构参数。纵向扫描电子显微镜在重复测量实验中的应用总结。本章介绍的关键术语和概念。推荐读数。第六部分：说明和解释纵向面板模型。配电盘模型的基础知识。基本单纯形变化过程。构建配电盘模型。协变量/控制变量。构建正反两种情感的面板模型。马内尔模型的说明性例子。认知发展的单纯形模型。非纵向数据的两个单纯形模型。欺凌和恐同取笑的小组模型。总结。本章介绍的关键术语和概念。推荐读数。第七部分：多集团模式。多组纵向扫描电子显微镜。步骤1：估计丢失的数据并评估描述性统计数据。步骤2：执行任何补充分析以排除潜在的混淆。第三步：建立合适的多组纵向零点模型。步骤4：跨时间和组匹配配置不变模型。步骤5：检验弱阶乘(加载)不变性。第六步：检验强阶乘不变性。步骤7：检验潜在结构的平均水平差异。步骤8：检验潜在结构之间的方差-协方差矩阵的齐性。第9步：在每组中测试纵向扫描结构模型。一种动态P技术多组纵向模型总结。本章介绍的关键术语和概念。推荐读数。第八部分：多层次增长曲线与扫描电子显微镜。纵向增长曲线模型。多元增长曲线模型。多层纵向模型。总结。本章介绍的关键术语和概念。推荐读数。第九部分：调解和调解。区分调解人和主持人。跨部门调解。半纵向调解。全面纵向调解。适度。总结。本章介绍的关键术语和概念。推荐读数。第十部分：JAMBALAYA：复杂结构表征和分解。多特质-多方法模型。伪MTMM模型。双因素模型和高阶因素模型。对比不同的方差分解。消化。本章介绍的关键术语和概念。推荐读数。
Prologue. A Personal Introduction and What to Expect. How Statistics Came into my Life. My Approach to the Book. Key Features of the Book. Overview of the Book. Datasets and Measures Used. My Dataset with the Inventory Felt Energy and Emotion in Life (I FEEL) Measure. The I FEEL. Gallagher and Johnson's MIDUS Example. Neuroticism. Negative Affect. Dorothy Espelage's Bullying and Victimization Examples. Peer Victimization. Substance Use. Family Conflict. Family Closeness. Bullying. Homophobic Teasing. Overdue Gratitude. Prophylactic Apologies. Part I: Overview and SEM Foundations. An Overview of the Conceptual Foundations of SEM. Concepts, Constructs, and Indicators. From Concepts to Constructs to Indicators to Good Models. Sources of Variance in Measurement. Classical Test Theorem. Expanding Classical Test Theorem. Characteristics of Indicators and Constructs. Types of Indicators and Constructs. Categorical Versus Metrical Indicators and Constructs. Types of Correlation Coefficients that can be Modeled. A Simple Taxonomy of Indicators and Their Roles. Rescaling Variables. Parceling. What Changes and How? Some Advice for SEM Programming. Philosophical Issues and How I Approach Research. Summary. Key Terms and Concepts Introduced in This Chapter. Recommended Readings. Part II: Design Issues in Longitudinal Studies. Timing of Measurements and Conceptualizing Time. Cross-Sectional Design. Single-Cohort Longitudinal Design. Cross-Sequential Design. Cohort-Sequential Design. Time-Sequential Design. Other Validity Concerns. Temporal Design. Lags Within the Interval of Measurement. Episodic and Experiential Time. Missing Data Imputation and Planned Missing Designs. Missing Data Mechanisms. Recommendations and Caveats. Planned Missing Data Designs in Longitudinal Research. Modeling Developmental Processes in Context. Summary. Key Terms and Concepts Introduced in this Chapter. Recommended Readings. Part III: The Measurement Model. Drawing and Labeling Conventions. Defining the Parameters of a Construct. Scale Setting. Identification. Adding Means to the Model: Scale Setting and Identification with Means. Adding a Longitudinal Component to the CFA Model. Adding Phantom Constructs to the CFA Model. Summary. Key Terms and Concepts Introduced in this Chapter. Recommended Readings. Part IV: Model Fit, Sample Size, and Power. Model Fit and Types of Fit Indices. Statistical Rationale. Modeling Rationale. The Longitudinal Null Model. Summary and Cautions. Sample Size. Power. Summary. Key Terms and Concepts Introduced in this Chapter. Recommended Readings. Part V: The Longitudinal CFA Model. Factorial Invariance. A Small (Nearly Perfect) Data Example. Configural Factorial Invariance. Weak Factorial Invariance. Strong Factorial Invariance. Evaluating Invariance Constraints. Model Modification. Partial Invariance. A Larger Example Followed by Tests of the Latent Construct Relations. Testing the Latent Construct Parameters. An Application of a Longitudinal SEM to a Repeated-Measures Experiment. Summary. Key Terms and Concepts Introduced in this Chapter. Recommended Readings. Part VI: Specifying and Interpreting a Longitudinal Panel Model. Basics of a Panel Model. The Basic Simplex Change Process. Building a Panel Model. Covariate/Control Variables. Building the Panel Model of Positive and Negative Affect. Illustrative Examples of Manel Models. A Simplex Model of Cognitive Development. Two Simplex Models of Non-Longitudinal Data. A Panel Model of Bullying and Homophobic Teasing. Summary. Key Terms and Concepts Introduced in this Chapter. Recommended Readings. Part VII: Multiple-Group Models. Multiple-Group Longitudinal SEM. Step 1: Estimate Missing Data and Evaluate the Descriptive Statistics. Step 2: Perform Any Supplemental Analysis to Rule Out Potential Confounds. Step 3: Fit an Appropriate Multiple-Group Longitudinal Null Model. Step 4: Fit the Configurally Invariant Model Across Time and Groups. Step 5: Test for Weak Factorial (Loadings) Invariance. Step 6: Test for Strong Factorial Invariance. Step 7: Test for Mean-Level Differences in the Latent Constructs. Step 8: Test for the Homogeneity of the Variance-Covariance Matrix Among the Latent Constructs. Step 9: Test the Longitudinal SEM Model in Each Group. A Dynamic P-Technique Multiple-Group Longitudinal Model. Summary. Key Terms and Concepts Introduced in this Chapter. Recommended Readings. Part VIII: Multilevel Growth Curves and SEM. Longitudinal Growth Curve Model. Multivariate Growth Curve Models. Multilevel Longitudinal Model. Summary. Key Terms and Concepts Introduced in this Chapter. Recommended Readings. Part IX: Mediation and Moderation. Making the Distinction Between Mediators and Moderators. Cross-Sectional Mediation. Half-Longitudinal Mediation. Full Longitudinal Mediation. Moderation. Summary. Key Terms and Concepts Introduced in this Chapter. Recommended Readings. Part X: Jambalaya: Complex Construct Representations and Decompositions. Multitrait-Multimethod Models. Pseudo-MTMM Models. Bifactor and Higher Order Factor Models. Contrasting Different Variance Decompositions. Digestif. Key Terms and Concepts Introduced in this Chapter. Recommended Readings.