第四章 資料分析及討論
4.5 交叉表分析
受訪者所處區位 * 北市空氣品質新分組 Crosstabulation 北市空氣品質新分組
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 6.754(a) 3 *0.080
Likelihood Ratio 6.227 3 0.101
Linear-by-Linear Association .094 1 0.759 N of Valid Cases 220
2.不同區位的受訪者對認知大客車空污佔台北市整體空污比例高低：假
受訪者所處區位 * 大客車空污比重高中低 Crosstabulation
大客車空污比重高中低
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square .284(a) 2 0.868 Likelihood Ratio .291 2 0.864 Linear-by-Linear
Association .000 1 0.997
N of Valid Cases 220
a 1 cells (16.7%) have expected count less than 5. The minimum expected count is 2.56.
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
3.不同區位的受訪者對認知三地區空氣污染程度：假設
受訪者所處區位 * 三個地區空污程度 Crosstabulation
三個地區空污程度
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 15.997(a) 3 ***0.001 Likelihood Ratio 15.744 3 0.001 Linear-by-Linear Association 11.140 1 0.001 N of Valid Cases 220
a. 2 cells (25.0%) have expected count less than 5. The minimum expected count is 1.71..
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
4.不同區位的受訪者與是否贊成部份負擔：假設
受訪者所處區位 * 部份負擔 Crosstabulation 部份負擔
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 8.245(a) 2 **0.016 Likelihood Ratio 7.913 2 0.019 Linear-by-Linear Association .160 1 0.689 N of Valid Cases 220
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.77..
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
5.不同區位的受訪者與分擔金額：假設
受訪者所處區位 * 分擔金額 Crosstabulation
分擔金額 Total
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 24.934(a) 5 0.000 Likelihood Ratio 23.559 5 0.000 Linear-by-Linear Association 15.283 1 0.000 N of Valid Cases 220
a. 2 cells (16.7%) have expected count less than 5. The minimum expected count is 1.71
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
6.性別與是否願意分擔：假設
性別 * 部份負擔 Crosstabulation
部份負擔 Total
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 5.584(a) 2 *0.061 Likelihood Ratio 6.301 2 0.043 Linear-by-Linear Association 4.136 1 0.042 N of Valid Cases 220
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 9.45.
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
7.教育程度與負擔金額：假設
教育新分組 *負擔金額新分組Crosstabulation
分擔金額新組
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 6.406(a) 4 0.171 Likelihood Ratio 6.376 4 0.173 Linear-by-Linear Association 2.404 1 0.121 N of Valid Cases 220
a 1 cells (11.1%) have expected count less than 5. The minimum expected count is 3.25.
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
8.所得與負擔金額：假設
所得新分組 * 負擔金額新分組 Crosstabulation
負擔金額新組
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 1.359(a) 4 0.851 Likelihood Ratio 1.375 4 0.848 Linear-by-Linear Association .080 1 0.777 N of Valid Cases 220
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 6.49.
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
9.有無提示告知電動公車資訊與負擔金額：假設
是否提示 * 金額新組 Crosstabulation
負擔金額新組
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 1.492(a) 2 0.474
Likelihood Ratio 1.453 2 0.484 Linear-by-Linear Association .438 1 0.508
N of Valid Cases 220
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 11.07.
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
10.年齡與認知台北市空氣品質好壞：假設
年齡3060 * 北市空品新組 Crosstabulation
北市空品新組
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 14.286(a) 6 **0.027 Likelihood Ratio 14.398 6 0.025 Linear-by-Linear Association 8.924 1 0.003 N of Valid Cases 220
a 1 cells (8.3%) have expected count less than 5. The minimum expected count is 1.82.
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。
11.所得與改善公車排放空污的急迫性：假設
所得新分組 * 急迫性新分組 Crosstabulation
急迫性新分組
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Pearson Chi-Square 12.279(a) 4 **0.015 Likelihood Ratio 11.425 4 0.022 Linear-by-Linear Association 6.308 1 0.012 N of Valid Cases 220
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 7.57.
*：表示顯著水準介於0.1與0.05之間。 **：表示顯著水準小於0.05。 ***：表示顯水準小於0.01。