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Jingdong book

多变量分析:统计软件与数据分析

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多变量分析:统计软件与数据分析

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在业界,多变量分析方法论的书籍犹如汗牛充栋,多得不胜枚举,而今年来出版此一领域书籍的共同特征,就是重视防范轮在资料分析上的应用。目前“多变量分析”课题在各学术领域的研究院所中,多已列为选修课程,然而相关的方法论书籍并不多见,更缺乏资料分析趋向的参考书籍,《多变量分析:统计软件与数据分析》的出版,恰可弥补现有多变量分析领域的不足,提供给研究这在进行量化科学研究时,一本便利的食谱式参考书籍。
Content Description

《多变量分析:统计软件与数据分析》是一本结合多变量分析统计理论、软件包与资料分析的研究方法论书籍。内容涵盖多变量变异系数分析、主成分分析、因素分析、区别分析、集群分析、典型相关、多向度多元尺度、线性结构模式、Logistic回归分析及对数线性模式等社会科学常见的多变量分析方法。作者运用SPSS与SAS两种普遍使用的软件包,完整地介绍其于各统计方法的应用外,并辅以实例进行数据分析与报表结果解释,理论与实用面向兼具。
初入门多变量分析方法者,可逐章阅读提升对多变量统计方法论的认识;而对于已熟悉方法论的读者,可根据研究问题,通过《多变量分析:统计软件与数据分析》的软件包操作与报表解释,解决研究上的需求。
Author Description

王保进
现职 台北市立教育大学教育学系教授
学历 政治大学教育研究所博士
经历 嘉义大学副教授兼电算中心主任
Catalogue

第一章 多变量分析简介
第一节 绪论
第二节 常用多变量分析方法
第三节 多变量分析方法的选择

第二章 多变量方差分析
第一节 基本原理
第二节 统计软件指令的操作
第三节 两组样本多变量平均数的显著性检验
第四节 多组样本多变量平均数的显著性检验

第三章 主成分分析与因子分析
第一节 基本原理
第二节 统计软件指令的操作
第三节 主成分分析的案例分析
第四节 因子分析的案例分析

第四章 区别分析
第一节 基本原理
第二节 统计软件指令的操作
第三节 区别分析的案例分析

第五章 聚类分析
第一节 基本原理
第二节 统计软件指令的操作
第三节 分层聚类的案例分析
第四节 非分层聚类的案例分析

第六章 典型相关
第一节 基本原理
第二节 统计软件指令的操作
第三节 典型相关的案例分析

第七章 多维量表分析
第一节 基本原理
第二节 统计软件指令的操作
第三节 度量MDS的案例分析
第四节 非度量MDS的案例分析

第八章 线性结构模型
第一节 基本原理
第二节 LISREL统计软件的操作
第三节 线性结构模型分析的案例分析
第四节 验证性因子分析的案例分析

第九章 逻辑斯谛回归分析
第一节 基本原理
第二节 统计软件指令的操作
第三节 两组逻辑斯谛回归的案例分析

第十章 多元列联表的关系分析
第一节 基本原理
第二节 统计软件指令的操作
第三节 对数线性模型的案例分析
第四节 Logit对数线性模型的案例分析
参考文献

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