The SAGE Handbook of Quantitative Methods in Psychology

The SAGE Handbook of Quantitative Methods in Psychology
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SAGE 心理学定量方法手册

DOI:
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发表时间:
2009
期刊:
影响因子:
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通讯作者:
Albert Maydeu
Albert Maydeu
中科院分区:
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文献类型:
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作者:
R. Millsap;Albert Maydeu

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第一部分:随机和非随机化研究中的设计和推理因果关系推论-Michael Sobel因果参数的定义、识别和估计实验设计-Roger Kirk准实验设计-Charles Reichardt缺失数据-Paul Allison第二部分:测量理论经典测验理论-James algina和Randall D Penfield因素分析-Robert C MacCallum项目反应理论-David Thissen和Lynne Steinberg项目反应理论专题-Michael Edwards和Maria Orlando Edelen潜在类别分析-David Rindskopf第三部分:尺度多维标度-Yoshio Takane等人的对应分析,多重对应分析和最新发展--Hwang等人建模偏好数据--Albert Maydeu-Olivares和Ulf B[um]ockenholt第四部分:多元回归在心理学研究中的数据分析应用--Razia Azen和David Budescu使用心理测量扭曲进行分类数据分析--Carolyn Anderson多水平分析-Jee-Seon Kim An概述和一些当代问题重采样方法--William H Beasley和Joseph RWilcox Rodgers稳健数据分析--Rand R Wilcox Meta分析-Andy field Bayesian数据分析-Herbert Hoijtink聚类分析-Lawrence Hubert et al用于MatLab的工具箱第五部分:结构方程模型通用SEM-Robert Cudeck和非线性结构方程模型的贝叶斯估计-Melanie Wall结构方程混合建模-Conor Dolan多层潜变量建模-David Kaplan等人的当前研究和最新进展第六部分:纵向模型建模个体随时间的变化-Suzanne Graham,研究心理过程的朱迪·辛格和约翰·威利特时间序列模型-埃米利奥·费雷尔和张广健应用和新发展事件历史分析-Jeroen Vermunt第七部分:专门方法神经成像分析(I)-Josep Marco-Pallares等人脑电成像神经成像分析(II)-Estela Camara等人磁共振成像功能数据分析-James O Ramsay
PART ONE: DESIGN AND INFERENCE Causal Inference in Randomized and Non-randomized Studies - Michael Sobel The Definition, Identification and Estimation of Causal Parameters Experimental Design - Roger Kirk Quasi-Experimental Design - Charles Reichardt Missing Data - Paul Allison PART TWO: MEASUREMENT THEORY Classical Test Theory - James Algina and Randall D Penfield Factor Analysis - Robert C MacCallum Item Response Theory - David Thissen and Lynne Steinberg Special Topics in Item Response Theory - Michael Edwards and Maria Orlando Edelen Latent Class Analysis - David Rindskopf PART THREE: SCALING Multidimensional Scaling - Yoshio Takane et al Correspondence Analysis, Multiple Correspondence Analysis and Recent Developments - Heungsun Hwang et al Modeling Preference Data - Albert Maydeu-Olivares and Ulf B[um]ockenholt PART FOUR: DATA ANALYSIS Applications of Multiple Regression in Psychological Research - Razia Azen and David Budescu Categorical Data Analysis with a Psychometric Twist - Carolyn Anderson Multilevel Analysis - Jee-Seon Kim An Overview and Some Contemporary Issues Resampling Methods - William H Beasley and Joseph L Rodgers Robust Data Analysis - Rand R Wilcox Meta-Analysis - Andy Field Bayesian Data Analysis - Herbert Hoijtink Cluster Analysis - Lawrence Hubert et al A Toolbox for MATLAB PART FIVE: STRUCTURAL EQUATION MODELS General SEM - Robert Cudeck Maximum Likelihood And Bayesian Estimation For Nonlinear Structural Equation Models - Melanie Wall Structural Equation Mixture Modeling - Conor Dolan Multilevel Latent Variable Modeling - David Kaplan et al Current Research and Recent Developments PART SIX: LONGITUDINAL MODELS Modeling Individual Change over Time - Suzanne Graham, Judy Singer and John Willett Time Series Models for Examining Psychological Processes - Emilio Ferrer and Guangjian Zhang Applications and New Developments Event History Analysis - Jeroen Vermunt PART SEVEN: SPECIALIZED METHODS Neuroimaging Analysis (I) - Josep Marco-Pallares et al Electroencephalography Neuroimaging Analysis (II) - Estela Camara et al Magnetic Resonance Imaging Functional Data Analysis - James O Ramsay