目 录
第1章 统计分析简介与数量方法的基础 ··············································1
1.1 统计分析简介 ··············································································1
1.2 理论 ··························································································2
1.3 量表简介 ··················································································12
1.4 抽样 ························································································16
1.5 统计分析的基础统计学 ································································17
1.6 常用的统计分析(多变量分析或称为数量方法) ································29
第2章 SPSS的基本操作 ·······························································34
2.1 SPSS简介 ················································································34
2.2 SPSS软件的菜单介绍 ··································································36
2.3 数据的输入 ···············································································40
2.4 数据分析与输出结果 ···································································45
2.5 实用范例 ··················································································50
第3章 量表的编制、信度和效度 ······················································64
3.1 量表的编制 ···············································································64
3.2 量表的信度和效度 ······································································69
3.3 量表发展实例 ············································································69
3.4 探索性和验证性研究的信度和效度 ·················································70
3.5 探索性因素分析和验证性因素分析的比较 ·········································77
3.6 研究作业 ··················································································78
第4章 检视数据与描述性统计 ·························································79
4.1 检视数据 ··················································································79
4.2 描述性统计分析 ········································································105
第5章 相关分析 ·········································································114
5.1 相关分析 ·················································································114
5.2 积差相关系数 ···········································································115
5.3 相关系数 ··············································································119
5.4 点二系列相关 ···········································································123
5.5 斯皮尔曼等级相关 ·····································································126
5.6 偏相关 ····················································································128
5.7 部分相关 ·················································································132
第6章 卡方检验 ·········································································138
6.1 卡方检验 ·················································································138
6.2 适配度检验 ··············································································138
6.3 独立性检验 ··············································································142
6.4 同质性检验 ··············································································148
第7章 平均值比较(t检验)··························································155
7.1 平均值比较(各种t检验的应用)·················································155
7.2 平均值分析 ··············································································155
7.3 单一样本t检验 ·········································································159
7.4 独立样本t检验 ·········································································163
7.5 成对样本t检验 ·········································································165
第8章 因子分析 ·········································································171
8.1 因子分析 ·················································································171
8.2 因子分析的基本统计假设 ····························································172
8.3 因子分析的检验 ········································································172
8.4 选取因子的数量 ········································································172
8.5 因子的转轴和命名成为构面 ·························································173
8.6 样本的大小和因子分析的验证 ······················································175
8.7 因子分析在研究上的重要应用 ······················································175
8.8 研究范例 ·················································································176
第9章 回归分析 ·········································································186
9.1 回归分析 ·················································································186
9.2 回归分析的基本统计假设 ····························································186
9.3 找出最佳的回归模型 ··································································187
9.4 检验回归模型的统计显著性 ·························································188
9.5 共线性问题 ··············································································189
9.6 验证结果 ·················································································189
9.7 研究范例 ·················································································190
第10章 判别分析与逻辑回归 ························································208
10.1 判别分析 ···············································································208
10.2 逻辑回归 ···············································································217
第11章 单变量方差分析 ·······························································225
11.1 单变量方差分析简介 ·································································225
11.2 单因素方差分析的设计 ······························································225
11.3 方差分析的基本假设条件 ···························································226
11.4 单变量方差分析 ····································································226
11.5 单变量方差分析范例 ·································································229
11.6 单因素方差分析范例 ·································································235
11.7 重复测量 ···············································································240
11.8 单变量协方差分析——控制变量 ··················································245
11.9 单变量协方差分析——前后测设计 ···············································251
第12章 变量方差分析 ·································································257
12.1 多变量方差分析 ·······································································257
12.2 多变量方差分析的基本假设 ························································257
12.3 多变量方差分析和判别分析的比较 ···············································257
12.4 多变量方差分析与单变量方差分析的比较 ······································258
12.5 样本大小的考虑 ·······································································258
12.6 多变量方差的检验 ····································································258
12.7 双因子交互作用下的处理方式 ·····················································259
12.8 多变量方差分析范例:双因子交互作用显著 ···································262
12.9 多变量方差分析范例:双因子交互作用不显著 ································286
第13章 典型相关 ·······································································301
13.1 典型相关 ···············································································301
13.2 典型相关分析的基本假设 ···························································301
13.3 典型函数的估计 ·······································································302
13.4 典型函数的选择 ·······································································302
13.5 冗余指数 ···············································································302
13.6 解释典型变量 ·········································································303
13.7 验证结果 ···············································································303
13.8 典型相关与其他多变量计数的比较和应用 ······································303
13.9 典型相关的范例 ·······································································304
第14章 联合分析、多维标度方法和聚类分析 ····································315
14.1 联合分析 ···············································································315
14.2 多维标度方法 ·········································································319
14.3 聚类分析 ···············································································326
第15章 结构方程模型之偏最小二乘法 ·············································336
15.1 结构方程模型 ·········································································336
15.2 偏最小二乘法 ·········································································342
15.3 结构方程模型 ·········································································344
15.4 偏最小二乘法的结构方程模型 ·····················································346
15.5 协方差形式结构方程模型和方差形式结构方程模型的比较·················349
15.6 当代结构方程模型研究(论文)需要呈现的内容·····························352
第16章 SmartPLS统计分析软件介绍 ·············································353
16.1 SmartPLS统计分析软件的基本介绍··············································353
16.2 将Excel(.xls)转成csv文件(.csv) ···········································354
16.3 基本功能介绍 ·········································································356
16.4 基本功能实际操作 ····································································361
第17章 偏最小二乘结构方程模型的学习范例 ····································377
17.1 一因三果的模型 ·······································································377
17.2 三因一果的模型 ·······································································388
17.3 单一间接路径的模型 ·································································399
17.4 多重间接路径的模型 ·································································409
17.5 多重直接和间接路径的模型 ························································424
第18章 结构方程模型的反映性模型实例 ··········································436
18.1 PLS-SEM结构方程模型的各种标准 ··············································436
18.2 PLS-SEM 研究(论文)需要展示的内容 ········································441
18.3 PLS-SEM实例——量表的设计与问卷的回收 ··································443
18.4 结构方程模型之反映性模型范例 ··················································445
第19章 结构方程模型之形成性模型 ················································459
19.1 反映性与形成性模型的比较 ························································459
19.2 反映性和形成性的模型设定错误 ··················································461
19.3 反映性和形成性模型的判断 ························································462
19.4 反映性和形成性模型的范例 ························································463
19.5 方差形式结构方程模型研究(论文)需要呈现的内容·······················468
19.6 形成性构面测量模型的评估标准 ··················································469
19.7 结构方程模型之形成性模型实例 ··················································471
19.8 阶层式潜在变量模型 ·································································488
第20章 交互作用、中介和调节(干扰) ··········································492
20.1 交互作用 ···············································································492
20.2 中介效果的验证 ·······································································497
20.3 调节(干扰)效果的验证 ···························································514
20.4 写作参考范例 ·········································································554
第21章 SmartPLS 3进阶应用介绍 ·················································561
21.1 一致性的偏最小二乘法 ······························································561
21.2 重要性与绩效的矩阵分析(Importance-performance Matrix Analysis,
IPMA) ··························································································570
21.3 多组分析 ···············································································572
21.4 异质性 ··················································································580
21.5 偏最小二乘验证性四元体分析 ·····················································594
第22章 被中介的调节(中介式调节)和被调节的中介(调节式中介)
分析 ·············································································597
第23章 研究流程、论文结构与在期刊上发表的建议 ···························612
23.1 研究流程 ···············································································612
23.2 论文结构 ···············································································612
23.3 研究在期刊上发表的建议 ···························································615