市民對林鄭月娥第一份施政報告之次輪跟進調查 Second Follow-up Survey on the First Policy Address of Carrie Lam返回

6-7/11/2017 (次輪跟進調查)
6-7/11/2017 (Second follow-up Survey)

整體黎講，你對特首林鄭月娥今年既施政報告滿唔滿意？
How satisfied are you with Chief Executive Carrie Lam's Policy Address ?

調查日期 Date of survey	即時/首輪跟進/次輪跟進調查 Instant/First follow-up/Second follow-up survey	本題基數 Sub-sample base	非常滿意 Very satisfied	幾滿意 Quite satisfied	一半半 Half-half	幾唔滿意 Not quite satisfied	非常不滿 Very dissatisfied	唔知/難講 DK/HS	平均量值 Mean value	基數 Base	樣本平均標準誤差 Standard Error of Mean	淨值 Net Value
6-7/11/2017	次輪跟進調查 Second follow-up survey	501	6.4%	33.1%	20.4%	20.6%	11.6%	7.8%	3.0	462	0.1	7.2%
12-13/10/2017	首輪跟進調查 First follow-up survey	508	9.4%	33.1%	21.9%	19.1%	5.3%	11.2%	3.3	451	0.1	18.1%
11/10/2017	即時調查 Instant survey	524	10.2%	37.3%	27.6%	11.1%	2.7%	11.0%	3.5	466	0.1	33.7%

* 撇除未聞施政報告數字 Excluding those who had not heard of the Policy Address
** 平均量值是把所有答案按照正面程度，以1分最低5分最高量化成為1、2、3、4、5分，再求取樣本平均數值。
** The mean value is calculated by quantifying all individual responses into 1, 2, 3, 4, 5 marks according to their degree of positive level, where 1 is the lowest and 5 the highest, and then calculate the sample mean.

組合數據 Collapsed data

調查日期 Date of survey	即時/首輪跟進/次輪跟進調查 Instant/First follow-up/Second follow-up survey	本題基數 Sub-sample base	滿意 Satisfied	一半半 Half-half	不滿 Dissatisfied	唔知/難講 DK/HS	淨值 Net Value
6-7/11/2017	次輪跟進調查 Second follow-up survey	501	39.5%	20.4%	32.3%	7.8%	7.2%
12-13/10/2017	首輪跟進調查 First follow-up survey	508	42.5%	21.9%	24.4%	11.2%	18.1%
11/10/2017	即時調查 Instant survey	524	47.5%	27.6%	13.9%	11.0%	33.7%

* 撇除未聞施政報告數字 Excluding those who had not heard of the Policy Address

再撇除沒有意見者 Those without opinion further excluded

調查日期 Date of survey	即時/首輪跟進/次輪跟進調查 Instant/First follow-up/Second follow-up survey	基數 Base	滿意 Satisfied	一半半 Half-half	不滿 Dissatisfied	淨值 Net Value
6-7/11/2017	次輪跟進調查 Second follow-up survey	501	42.8%	22.2%	35.0%	7.8%
12-13/10/2017	首輪跟進調查 First follow-up survey	508	47.9%	24.7%	27.4%	20.5%
11/10/2017	即時調查 Instant survey	524	53.4%	31.0%	15.6%	37.8%

* 撇除未聞施政報告數字 Excluding those who had not heard of the Policy Address

宜家想請你對特首林鄭月娥今年既施政報告既滿意程度進行評分,0分代表非常不滿，100分代表非常滿意，50分代表一半半，你會俾幾多分今年既施政報告呢？
Please use a scale of 0-100 to rate your degree of satisfaction of the policy address delivered by Chief Executive Carrie Lam today, with 0 indicating very dissatisfied, 100 indicating very satisfied and 50 indicating half-half. How would you rate her latest Policy Address?

調查日期 Date of survey	即時/首輪跟進/次輪跟進調查 Instant/First follow-up/Second follow-up survey	評分 Ratings	標準誤差 Standard Error	樣本人數 Total Sample	評分人數 Number of Raters	認知率 Recognition Rate
6-7/11/2017	次輪跟進調查 Second follow-up survey	54.2	1.0	501	477	95.2%
12-13/10/2017	首輪跟進調查 First follow-up survey	60.6	1.0	508	464	91.3%
11/10/2017	即時調查 Instant survey	62.4	0.9	526	485	92.3%

* 撇除未聞施政報告數字 Excluding those who had not heard of the Policy Address

整體黎講你對林鄭月娥既施政方針滿唔滿意？
On the whole, how satisfied are you with Carrie Lam's policy direction?

調查日期 Date of survey	即時/首輪跟進/次輪跟進調查 Instant/First follow-up/Second follow-up survey	本題基數 Sub-sample base	非常滿意 Very satisfied	幾滿意 Quite satisfied	一半半 Half-half	幾唔滿意 Not quite satisfied	非常不滿 Very dissatisfied	唔知/難講 DK/HS	平均量值 Mean value	基數 Base	樣本平均標準誤差 Standard Error of Mean	淨值 Net Value
6-7/11/2017	次輪跟進調查 Second follow-up survey	501	8.5%	33.0%	23.1%	18.6%	11.0%	5.8%	3.1	472	0.1	11.8%
12-13/10/2017	首輪跟進調查 First follow-up survey	508	9.8%	40.1%	19.6%	17.4%	4.5%	8.5%	3.4	465	0.1	28.0%

** 平均量值是把所有答案按照正面程度，以1分最低5分最高量化成為1、2、3、4、5分，再求取樣本平均數值。
** The mean value is calculated by quantifying all individual responses into 1, 2, 3, 4, 5 marks according to their degree of positive level, where 1 is the lowest and 5 the highest, and then calculate the sample mean.

組合數據 Collapsed data

調查日期 Date of survey	即時/首輪跟進/次輪跟進調查 Instant/First follow-up/Second follow-up survey	本題基數 Sub-sample base	滿意 Satisfied	一半半 Half-half	不滿 Dissatisfied	唔知/難講 DK/HS	淨值 Net Value
6-7/11/2017	次輪跟進調查 Second follow-up survey	501	41.4%	23.1%	29.6%	5.8%	11.8%
12-13/10/2017	首輪跟進調查 First follow-up survey	508	50.0%	19.6%	21.9%	8.5%	28.0%

2014年起，民研計劃把以往按照年齡及性別分佈進行的簡單加權方法，改良成為按照年齡、性別及教育程度（最高就讀程度）分佈的「反覆多重加權」方法調整數據 From 2014, POP enhanced the previous simple weighting method based on age and gender distribution to “rim weighting” based on age, gender and education (highest level attended) distribution