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回覆 hkpapa852 的帖子
Dear hkpapa852,
Sorry, I cannot agree with your opinion on both "argument 1" and "argument 2". Indeed, I did not put it as an argument, just a thought.
The raw score of HKAT did not provide much useful information for comparison across years. The paper is not the same, the difficulty clearly cannot be standardized.
If it is the same year, you may compare schools. To compare the input of students, you need to use percentile. Since for 2013-2014 and 2015-2016 were not used for SSPA, there is no norm table released by EDB. But one could check the percentile of the value to have an understanding of students' standard across the territory. As there is only two years' data, I try to dig out the data for 2011-2012 as well, but I am only able to find a few schools' reports. Still I think it should be enough to illustrate the situation. The highlighted figures show those with a difference of 7 percentile or more. For e.g., both SPCS and MCS showed a big difference in Chinese Language (~30 and 20 percentile respectively) between 2011-12 and 2012-13. These are average figures of all F.1 students, one year it is the bottom of band 1, the next year is the top 5 percent of the territory. The discrepancy it big if not called huge difference indeed.
The other related opinion is that, secondary school with feeder school should have more steady input in terms of student standard.
This again is not the case.
Except for a few primary schools that have freedom to choose students, most primary schools depends on luck (and may be district) to admit a large number of students of high standard. Nonetheless, the allocation of students to primary school depends on chance factor a lot. (Of course we know the effect of economic-social status effect play a role, and therefore district matter as well).
The standard of students' input vary yearly for most schools even if it may not be huge, otherwise, EDB could take away HKAT all together and just use precious years' figure. (It should not be difficult to confirm that if you know some primary school teachers and may be principals). Since secondary schools with feeder schools admitted a significant number of students from their feeder schools, as the students' standard of their feeder school vary, there is a bigger impact on their input standard.
For secondary schools without feeder schools, they receive students from a wide range of primary schools, the probability that students from all those primary schools fluctuate in the same direction, i.e. rise or fall in standard at the same year, is slim statistically, as a result, the standard of their students are more steady comparatively. But still there may be variation.
For the second "argument", I will reply later, as I know I need to show data to illustrate my point to discuss further.
| | | | 2011-2012 | | 2012-2013 | |
| 2014-2015
| | | HK Average |
| 53.87
| 45,74 | 54.04 | 49.63 | 49.43 | 59.98 | 52.99 | 49.67 | 57.64 | | 中學名稱 |
| Chi
| Eng | Math | Chi | Eng | Math | Chi | Eng | Math | | SMCC | Raw Score |
|
|
| 62.69
| 80.21 | 80.96 | 70.43 | 83.5 | 81.17 | | | Percentile |
|
|
| 84.25
| 90.07 | 79.94 | 91.95 | 92.05 | 82.76 | | SJC | Raw Score |
|
|
| 61.1
| 80.4 | 82.7 | ~63 | ~81 | ~79 | | | Percentile |
|
|
| 80.64
| 90.32 | 82.75 | 76 | 89.1 | 79.5 | | SPCS | Raw Score | 61.9 | 85.2 | 74 | 70.2 | 84.1 | 78.6 | 67.9 | 83 | 80.5 | | | Percentile | 68.53 | 96.62 | 75.2 | 97.01 | 94.4 | 76.26 | 87.79 | 91.5 | 81.75 | | MCS | Raw Score | 64.49 | 82.75 | 78.68 | 69.68 | 86.93 | 83.32 | 72.26 | 88.02 | 81.99 | | | Percentile | 75.53 | 94.73 | 81.46 | 95.58 | 96.74 | 83.78 | 94.51 | 96.42 | 83.89 | | 呂明才 | Raw Score |
|
|
| ~68
| ~80 | ~84 | ~68 | ~79 | ~79 | | | Percentile |
|
|
| 93.7
| 89.9 | 85 | 88 | 86.2 | 79.5 | | KC | Raw Score | ~67 | ~73 | ~85 | ~62 | ~70 | ~80 | ~67 | ~75 | ~85 | | | Percentile | 81.6 | 84.4 | 89.3 | 82.8 | 76.8 | 78.4 | 85.9 | 80.6 | 88.2 | | QC | Raw Score |
|
|
| ~65
| ~79 | ~86 | ~66 | ~80 | ~85 | | | Percentile |
|
|
| 88.9
| 88.6 | 88.1 | 83.5 | 87.7 | 88.2 | | 鄧顯 | Raw Score |
|
|
| 67.97
| 67.48 | 85.47 | 68.7 | 72.54 | 88.01 | | | Percentile |
|
|
| 92.66
| 73.27 | 87.25 | 89.26 | 77.2 | 92.11 | | 曾肇添 | Raw Score |
|
|
| 66.7
| 78.1 | 86.7 | 70.4 | 79 | 86.2 | | Percentile | | | | 91.92 | 87.43 | 89.08 | 91.9 | 86.2 | 89.84 |
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發表於 17-10-20 11:54
，因為會越讀越蠢，
我們給他的底線，不要同某某名人比較，現在大學畢業等同以前中學畢業，完成了，我不管！
