Making Sense of Statistics in Psychology: A Second-Level Course
Making Sense of Statistics in Psychology: A Second-Level Course
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理解心理学中的统计学：二级课程
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
B. Everitt
中科院分区：
文献类型：
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作者：
B. Everitt
数据、模型和一点历史显示数据的图形化方法单向设计、析因设计、重复测量设计、简单线性回归和多元回归分析、对数线性模型和logistic回归、广义线性模型、无分布、计算机密集模型多变量分析I -主成分分析和探索性因子分析多变量分析II -验证性因子分析和协方差结构建模多变量分析III -聚类分析、判别分析和多维标度可靠性评估。
Data, models, and a little history graphical methods of displaying data one-way designs factorial designs repeated measure designs simple linear regression and multiple regression analysis log-linear models and logistics regression the generalised linear model distribution-free, computer-intensive models multivariate analysis I - principle components analysis and exploratory factor analysis multivariate analysis II - confirmatory factor analysis and covariance structure modelling multivariate analysis III - cluster analysis, discriminant analysis, and multidimensional scaling the asssessment of reliability.