基于多样本潜在类别的旅游者生态文明行为分析——以苏州市为例
朱梅

Study on tourists' ecological civilization behavior based on multi-sample latent class model: A case of Suzhou
Mei ZHU
表4 多样本非限定潜在类别分析模型适配指标摘要(N=646)
Tab. 4 Goodness of fit of multi-sample exploratory latent class analysis models (N=646)
模型 χ2(P) G2(P) AIC BIC df 模型 χ2(P) G2(P) AIC BIC df
性别比较 学历比较
MMA1:T=1 4135.031(0.000) 1424.840(0.000) 5944.802 6002.923 114 MMB1:T=1 4479.658(0.000) 1430.271(0.000) 5655.912 5714.032 114
MMA2:T=2 288.779(0.000) 226.225(0.000) 4772.188 4888.428 101 MMB2:T=2 289.504(0.000) 238.328(0.000) 4489.968 4606.209 101
MMA3:T=3 120.351(0.013) 85.511(0.555) 4657.475 4831.836 88 MMB3:T=3 121.980(0.010) 98.891(0.201) 4376.531 4550.892 88
MMA4:T=4 64.882(0.791) 62.852(0.840) 4660.815 4893.297 75 MMB4:T=4 96.741(0.046) 80.510(0.311) 4384.150 4616.632 75
MMA5:T=5 59.210(0.577) 54.773(0.731) 4678.736 4969.338 62 MMB5:T=5 85.010(0.028) 64.221(0.399) 4393.862 4684.464 62
年龄比较 收入比较
MMC1:T=1 4472.503(0.000) 1447.538(0.000) 6048.864 6138.280 171 MMD1:T=1 4269.485(0.000) 1466.153(0.000) 6153.115 6242.531 171
MMC2:T=2 339.498(0.000) 253.283(0.000) 4892.609 5066.971 152 MMD2:T=2 305.843(0.000) 256.546(0.000) 4981.509 5155.870 152
MMC3:T=3 107.121(0.952) 102.987(0.975) 4780.314 5039.620 133 MMD3:T=3 127.119(0.627) 110.586(0.922) 4873.549 5132.855 133
MMC4:T=4 79.421(0.994) 85.203(0.980) 4800.529 5144.781 114 MMD4:T=4 104.758(0.721) 93.763(0.917) 4894.726 5238.977 114
MMC5:T=5 70.839(0.970) 72.852(0.956) 4826.179 5255.376 95 MMD5:T=5 86.303(0.727) 78.472(0.890) 4917.435 5346.632 95