因子分析

gem_wang · 发表于 2009-4-8 10:29:43

相关系数矩阵
Correlation Matrix

     页面布局操作简便咨询丰富支付安全隐私保护时间精力产品种类价格质量信息真实配送价格包装个性服务客服态度售后处理订购取货退货政策附加服务会员制送货准时
Correlation 页面布局 1.000 .253 .448 .180 .391 .111 .253 .244 .243 .189 .137 .137 .209 .250 .289 .156 .077 .065 .191 .110
操作简便 .253 1.000 .282 .329 .316 .193 .235 .180 .306 .315 .186 .055 .092 .308 .182 .163 .177 .162 .118 .264
咨询丰富 .448 .282 1.000 .262 .345 .356 .408 .231 .155 .170 .122 .203 .214 .346 .271 .059 .220 .168 .296 .187
支付安全 .180 .329 .262 1.000 .517 .322 .312 .127 .317 .393 .205 .209 .031 .272 .240 .120 .123 .194 .224 .294
隐私保护 .391 .316 .345 .517 1.000 .285 .368 .187 .341 .251 .245 .151 .275 .332 .337 .198 .047 .157 .325 .273
时间精力 .111 .193 .356 .322 .285 1.000 .298 .135 .206 .240 .143 .063 .163 .233 .170 .060 .224 .195 .164 .223
产品种类 .253 .235 .408 .312 .368 .298 1.000 .145 .256 .285 .157 .086 .147 .306 .163 .175 .212 .059 .275 .139
价格 .244 .180 .231 .127 .187 .135 .145 1.000 .259 .233 .287 .252 .107 .148 .210 .130 .282 .195 .127 -.007
质量 .243 .306 .155 .317 .341 .206 .256 .259 1.000 .394 .317 .186 .089 .271 .341 .094 .199 .097 .165 .278
信息真实 .189 .315 .170 .393 .251 .240 .285 .233 .394 1.000 .261 .255 .268 .357 .282 .247 .435 .232 .155 .300
配送价格 .137 .186 .122 .205 .245 .143 .157 .287 .317 .261 1.000 .231 .193 .211 .412 .124 .223 .176 .192 .235
包装 .137 .055 .203 .209 .151 .063 .086 .252 .186 .255 .231 1.000 .306 .103 .257 .085 .249 .246 .084 .164
个性服务 .209 .092 .214 .031 .275 .163 .147 .107 .089 .268 .193 .306 1.000 .403 .266 .235 .255 .279 .154 .200
客服态度 .250 .308 .346 .272 .332 .233 .306 .148 .271 .357 .211 .103 .403 1.000 .317 .251 .322 .288 .274 .378
售后处理 .289 .182 .271 .240 .337 .170 .163 .210 .341 .282 .412 .257 .266 .317 1.000 .265 .194 .342 .283 .385
订购取货 .156 .163 .059 .120 .198 .060 .175 .130 .094 .247 .124 .085 .235 .251 .265 1.000 .119 .125 .294 .177
退货政策 .077 .177 .220 .123 .047 .224 .212 .282 .199 .435 .223 .249 .255 .322 .194 .119 1.000 .413 .135 .246
附加服务 .065 .162 .168 .194 .157 .195 .059 .195 .097 .232 .176 .246 .279 .288 .342 .125 .413 1.000 .165 .261
会员制 .191 .118 .296 .224 .325 .164 .275 .127 .165 .155 .192 .084 .154 .274 .283 .294 .135 .165 1.000 .362
送货准时 .110 .264 .187 .294 .273 .223 .139 -.007 .278 .300 .235 .164 .200 .378 .385 .177 .246 .261 .362 1.000

方差分解主成分提取分析表
Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
1 5.369 26.846 26.846 5.369 26.846 26.846 2.334 11.668 11.668
2 1.597 7.984 34.831 1.597 7.984 34.831 2.264 11.318 22.986
3 1.280 6.398 41.228 1.280 6.398 41.228 2.056 10.281 33.267
4 1.235 6.175 47.403 1.235 6.175 47.403 1.906 9.532 42.799
5 1.194 5.970 53.373 1.194 5.970 53.373 1.818 9.092 51.891
6 1.005 5.025 58.397 1.005 5.025 58.397 1.301 6.506 58.397
7 .920 4.599 62.996
8 .882 4.411 67.407
9 .817 4.084 71.491
10 .764 3.822 75.313
11 .659 3.297 78.609
12 .644 3.220 81.829
13 .623 3.114 84.944
14 .554 2.769 87.713
15 .522 2.610 90.322
16 .453 2.263 92.586
17 .435 2.177 94.763
18 .397 1.986 96.749
19 .342 1.708 98.457
20 .309 1.543 100.000
Extraction Method: Principal Component Analysis.

Component Score Coefficient Matrix

Component
1 2 3 4 5 6
页面布局 .362 -.090 -.174 .145 -.159 .158
操作简便 .001 .352 -.039 -.117 -.096 .081
咨询丰富 .448 -.162 .079 -.040 -.043 -.160
支付安全 .004 .250 -.094 -.010 .196 -.270
隐私保护 .196 .030 -.201 .069 .184 -.043
时间精力 .166 .062 .190 -.180 .105 -.355
产品种类 .259 .149 .014 -.198 -.100 .034
价格 .097 .081 .015 .319 -.396 .048
质量 -.120 .339 -.164 .195 -.034 -.029
信息真实 -.157 .353 .156 -.046 -.142 .124
配送价格 -.142 .057 -.103 .386 .068 -.025
包装 .016 -.177 .123 .386 -.035 -.172
个性服务 .110 -.258 .247 .024 .012 .233
客服态度 .057 .046 .179 -.186 .065 .213
售后处理 -.049 -.123 -.079 .314 .253 .047
订购取货 -.071 .062 -.046 -.091 -.006 .643
退货政策 -.081 .111 .447 -.068 -.203 -.005
附加服务 -.070 -.145 .358 .059 .133 -.139
会员制 .092 -.133 -.078 -.032 .318 .161
送货准时 -.173 .025 .056 -.044 .453 -.038
Extraction Method: Principal Component Analysis.  Rotation Method: Varimax with Kaiser Normalization.  Component Scores.

这几张图我看不懂可以帮忙看下吗

gem_wang · 发表于 2009-4-8 10:30:24

如果有懂的可以加我Q吗 617593137 帮我看下图我不懂谢谢

君明 · 发表于 2009-4-8 19:21:45

她的结果是要用几个新的变量替换原来的变量

新的变量具备以前变量的大部分特点可以反应一些问题计算方便

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