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Appendix

THE UNIVERSITY OF HONG KONG

PUBLIC OPINION PROGRAMME (POP)

Opinion Survey on the Public Ranking of
Universities in Hong Kong 2002

Commissioned by Media Education Info-Tech Co. Ltd.

(Education 18.com)

SUMMARY OF FINDINGS

Research Team Members

Project Director : CHUNG Ting-yiu Robert

Project Manager : PANG Ka-lai Karie

Project Executive : LAW Wai-yan Candy

Data Analyst : TSOI Pui-shing Tony

Copy Editor : CHUNG Sin-yan Yennice

 March 2002

CONTACT INFORMATION
Date of survey : 25/2 – 1/3/2002 Sample size : 1,029 successful cases
Response rate : 61.8% Standard error : Less than 1.6%
Target population :
Cantonese-speaking population of Hong Kong aged 18 or above
Survey method :
Telephone survey with interviewers
Sampling method :
Standard POP telephone sampling method was used. Telephone numbers were selected randomly from residential telephone directories and mixed with additional numbers generated by the computer. If more than one subject had been available, the one who had his/her birthday next was selected.
Weighting method :
The data reported have been adjusted according to the age and gender distributions of the Hong Kong population as reported in the 2001 Population Census.
Everything in this publication is the work of individual researchers, and does not represent the stand of The University of Hong Kong.  CHUNG Ting-yiu Robert is responsible for the work of the Public Opinion Programme (POP) of The University of Hong Kong.

 Preamble

  The Public Opinion Programme (POP) was established in June 1991 to collect and study public opinion on topics which could be of interest to academics, journalists, policy-makers, and the general public.  POP was at first under the Social Sciences Research Centre, a unit under the Faculty of Social Sciences of The University of Hong Kong, it was transferred to the Journalism and Media Studies Centre in The University of Hong Kong in May 2000.  In January 2002, it was transferred back to the Faculty of Social Sciences in The University of Hong Kong.  POP provides quality survey services to a wide range of public and private organizations, provided that they allow the POP Team to design and conduct the research independently, and to bear the final responsibilities.

  In January 2002, POP was commissioned, for the second time, by Media Education Info-tech Co. Ltd. (which owns "Education 18.com") to conduct a survey on the public's perceptions of the eight universities in Hong Kong.  The primary objective of this survey was basically the same as that of last year, i.e., to study the general public's perception of the local universities, but with a slightly different instrument designed in line with the client's new emphasis.  In fact, a similar study was carried out two years ago, which was designed and coordinated entirely by the client using a different methodology.  Hence, any direct comparison between the results obtained from the first and subsequent surveys is not recommended, while comparison between results of the second and third surveys must also be made with great caution. 

  The questionnaires used in this and last year's surveys were designed independently by the POP Team after consulting the client.  Fieldwork, data analysis and interpretation were also carried out independently by the POP Team.

  This year's telephone survey was conducted during the period of 25 February – 1 March 2002.  A total of 1,029 Hong Kong Cantonese-speaking residents aged 18 or above were successfully interviewed.  The overall response rate was 61.8% and the standard error due to sampling was no more than 1.6 percentage points.  That means at 95% confidence level, the sampling error of percentage figures was less than plus/minus 3.2 percentage points.


Research Design

 The target population of this survey was Cantonese-speaking population of Hong Kong aged 18 or above.  To minimize sampling bias, the following sampling technique was adopted:

Telephone numbers were first drawn randomly from the residential telephone directories as "seed numbers", from which another set of numbers was generated using the "plus/minus one/two" method, in order to capture the unlisted numbers.  Duplicated numbers were then filtered, and the remaining numbers were mixed in random order to produce the final telephone sample.

  When telephone contact was successfully established with a target household, one person aged 18 or above was selected.  If more than one subject had been available, selection was made using the "next birthday rule" which selected the person who had his/her birthday next from all those present.  The demographic profile of the respondents was presented in Appendix 1.

  Telephone interviews were carried out from 1830 to 2230 hours between 25 February and 1 March 2002.  Data were collected by interviewers using a Computer Assisted Telephone Interviews (CATI) system under close supervision.

  As shown from the detailed breakdown of the contact information, amongst the 6,989 telephone numbers sampled for the survey, 843 were found to be invalid lines, 2,558 were non-contacts, including busy lines and no answer, another 261 were business lines, 473 were fax lines or with answering machines while 114 were classified as miscellaneous due to other non-contact problems.  Of the 2,740 valid contacts, the numbers of refusals (without knowing whether target respondents were qualified or not), disqualified and unfinished cases with appointment dates beyond the end of fieldwork period were 621, 265 and 410 respectively. Besides, 15 cases were incomplete due to unexpected termination of interviews, 400 have language and other problems, and the remaining 1,029 were successful cases.

 

Table 1    Breakdown of contact information of the survey

Frequency

Percentage

Telephone numbers attempted

6,989

Invalid numbers

843

Busy / no answer

2,558

Business lines

261

Fax / answering machine

473

Miscellaneous

114

Valid contacts

2,740

100.0%

Refusal

621

22.7%

Failed to qualify

265

9.7%

Appointment pending

410

15.0%

Incomplete

15

0.5%

Other problems

400

14.6%

Successful

1,029

37.6%

  To sum up, a total of 1,029 Hong Kong residents aged 18 or above were successfully interviewed in the survey.  The effectiveresponse rate was 61.8% as shown in the following calculation.  The standard error due to sampling was no more than 1.6 percentage points.

 

Table 2    Calculation of effective response rate

Effective response rate

= [Successful cases / (Successful cases + Refusal cases +Incomplete cases)] 100%

= [1,029 / (1,029 + 621+ 15)] 100%

= 61.8%

  The data collected have been adjusted according to the age and gender distributions of the Hong Kong population as reported in the 2001 Population Census.  All analyses in this report are based on the weighted data.

  The researcher is aware that the POP Team is part of The University of Hong Kong, which is one of the universities rated by the respondents.  As a precaution to eliminate any possible bias due to desirability effect, all respondents were explicitly told at the beginning of the interview that the POP Team was an independent research team, and the respondents should simply report honestly what they felt.

Summary of Findings

  The first part of the survey was to study the general public's perception of the local universities, namely, The Chinese University of Hong Kong (CUHK), The City University of Hong Kong (CityU), The Hong Kong Baptist University (HKBU), The Hong Kong Institute of Education (HKIEd), The Hong Kong University of Science and Technology (HKUST), The Lingnan University (Lingnan), The Polytechnic University of Hong Kong (PolyU) and The University of Hong Kong (HKU), order rotated in different questionnaires.  By means of a rating scale from 0-10, with 0 representing the worst, 10 representing the best and 5 being half-half, these universities were assessed one by one with regard to their overall performance plus three core attributes selected by the researcher and the client.

  In order to eliminate possible bias due to ordering, the sequence of rating the eight universities was randomly rotated across all rating questions. 

A.       Overall Performance

  First of all, all respondents were asked to evaluate each of these local universities based on their perception of its overall performance using a scale of 0-10, with 0 representing the worst, 10 representing the best and 5 being half-half.  Respondents were suggested to take into account the university's local and international reputation, facilities, campus environment, qualification of its teaching staff, academic research performance, conduct and quality of its students, its learning atmosphere, as well as the diversification and degree of recognition for its courses.  Survey result shows that, in terms of public perception, HKU received the highest mean score of 7.87 as rated by 728 respondents, CUHK came second with an average score of 7.53 rated by 725 respondents, whereas HKUST ranked third with a mean score of 7.16 rated by 685 respondents (Table 1).   

Table 1 - Overall Performance

Average

Standard error

No of raters

Recognition

HKU 

7.87

0.05

728

70.7%

CUHK 

7.53

0.05

725

70.5%

HKUST 

7.16

0.06

685

66.6%

PolyU

6.78

0.05

698

67.8%

HKBU 

6.21

0.05

679

66.0%

CityU

6.10

0.06

659

64.0%

HKIEd

5.83

0.06

604

58.7%

Lingnan

5.44

0.06

619

60.2%


 B.       Transparency in Dealing with Internal and External Parties

  As regards the perceived transparency of each university when carrying out new policies and reforms, taking into consideration its performance in consulting its students and staff, releasing information to the mass media, as well as explaining itself to the public and collecting public opinions, HKU again received the highest rating with a mean score of 6.64 rated by 546 respondents, whereas CUHK ranked second with an average score of 6.60 from 546 respondents, which comprised the first tier in terms of perceived transparency.  The third and fourth ranks, which formed the next tier, fell to HKUST (6.29) and PolyU (6.17) respectively (Table 2).       

Table 2 - Transparency

Average

Standard error

No of raters

Recognition
(No. of raters/total sample)

1.  HKU 

6.64

0.07

546

53.1%

2.  CUHK 

6.60

0.07

546

53.1%

3. HKUST 

6.29

0.07

514

50.0%

4.  PolyU

6.17

0.07

514

50.0%

5.  CityU

5.82

0.07

504

49.0%

6.  HKBU 

5.81

0.07

499

48.5%

7.  HKIEd

5.59

0.08

460

44.7%

8.  Lingnan

5.32

0.08

477

46.4%

 C.       Contribution to Society made by Teaching Staff

  As on the perceived contribution made to society by each university's teaching staff, taking into consideration their academic research performance, efforts in promoting their university's image and upgrading its international ranking, participation in community services, as well as their response and commitment to the needs of society, HKU again received the highest mean score of 7.28 rated by 596 respondents, followed closely by CUHK at 7.17 from 599 raters and then HKUST at 6.90 rated by 565 respondents (Table 3).

Table 3 - Contribution to Society

Average

Standard error

No of raters

Recognition
(No. of raters/total sample)

1.  HKU 

7.28

0.06

596

57.9%

2.  CUHK 

7.17

0.06

599

58.2%

3.  HKUST 

6.90

0.07

565

54.9%

4.  PolyU

6.51

0.07

569

55.3%

5.  HKBU 

6.07

0.07

556

54.0%

6.  CityU

5.96

0.07

549

53.4%

7.  HKIEd

5.86

0.08

527

51.2%

8.  Lingnan

5.47

0.07

514

50.0%

 D.      Overall Performance of Vice-Chancellor/President

  The last question rated in this part of the survey was the perceived overall performance of the Vice-Chancellor/President of each university, taking into consideration one's local and international reputation, approachability, leadership, vision, social credibility and public relations.  It is noteworthy that the recognition rates for all current Vice-Chancellors/ Presidents rated were below 50% (ranging from 37% to 49%), lower than all other attributes described before.  In this aspect, Professor Paul C.W. Chu of HKUST received the highest average score of 7.26 rated by 495 respondents, and Professor Arthur K.C. Li of CUHK came second, with a mean score of 7.09 rated by 503 respondents.  The next tier was formed by the Vice-Chancellors/Presidents of HKU, PolyU, Lingnan, HKBU and CityU (in descending order), as their average scores fell within a narrow range from 6.67 to 6.31.  Professor Ruth Hayhoe of HKIEd received a mean score of 5.94 as well as the lowest recognition rate (Table 4).

Table 4 - Overall Performance of Vice-Chancellor/President

Average

Standard error

No of raters

Recognition
(No. of raters/total sample)

1.  HKUST - Prof Paul C.W. CHU

7.26

0.07

495

48.1%

2.  CUHK - Prof Arthur K.C. LI

7.09

0.06

503

48.9%

3.  HKU - Prof W.I.R. DAVIES

6.67

0.08

402

39.1%

4.  PolyU - Prof Chung-kwong POON

6.56

0.07

459

44.6%

5.  Lingnan - Prof Edward K.Y. CHEN

6.48

0.07

480

46.6%

6.  HKBU - Prof Ching-fai NG

6.31

0.07

447

43.4%

7.  CityU - Prof H.K. CHANG

6.31

0.07

415

40.3%

8.  HKIEd - Prof Ruth HAYHOE

5.94

0.08

378

36.7%

 E.       Relative Strengths and Weaknesses

    As a collective analysis, the average scores attained by each university regarding three of the above attributes (excluding the overall performance rating of the universities) were used to produce a relative strength-and-weakness profile. 

  As shown from Charts 1 to 8 (in alphabetical order of universities), all attributes with a positive value (presented on the right side of the chart) represent the relative strengths of each university in terms of the three attributes measured.  Conversely, negative attributes (on the left of the chart) refer to their relative weaknesses.  And the value next to each bar denotes the net difference between the average score of that particular attribute and the overall average of the three attributes obtained by each university.  However, since the list of attributes measured in this survey is far from comprehensive (only three, even after including the performance of their Vice-Chancellors/Presidents into the analysis), the profiles shown here would not be able to reflect the full picture.  They are included here just to demonstrate one approach to make sense of the data collected, using a framework developed in last year's survey.    

  As a general observation, among the three attributes measured, transparency is a negative asset for all universities. HKU is unique in that the contribution made by its staff stands out as its only strength among the three attributes.  For Lingnan and CityU, the performance of their Presidents stands out to be their only strength among the three attributes. For all universities, there seems to be a mixture of strengths, with CUHK more on the contribution attribute, and others more on the performance of their Vice-Chancellors/Presidents.

 Chart 1

Chart 2


Chart 3

Chart 4



Chart 5


Chart 6


Chart 7


Chart 8


F.     Experience in Taking Courses in Institutions of Continuing Education

  The second part of the survey investigated respondents' experience or interest in taking programmes offered by the local schools of continuing education.  Results show that a total of 316 respondents (31% of the overall sample) had taken or considered taking these programmes, including all academic or leisure courses, sub-degree or higher diploma programmes, and courses offered on short-term or long-term basis. 

  As far as the academic and leisure courses are concerned, excluding sub-degree and higher diploma programmes, 14% had taken such courses, another 12% had thought of taking them, together giving a total of 26% (Table 5).

  When it came to sub-degree programmes tailored for those not qualified to take on degree programmes, only 2% had taken them, while another 4% have considered taking them (Table 6).  Apart from the fact that most respondents were not eligible for these programmes, the fact that these sub-degree programmes were newly launched by the local universities may have contributed to these low figures.

  As on the high diploma programmes, 7% had taken them, while another 8% have considered taking them (Table 7).

Table 5 - Experience in Taking Academic or Leisure Courses 

Frequency
Percentage
Yes - Have taken
122
11.9%
)
Yes - Have considered taking
122
11.8%
)
Both
20
2.0%
)25.7%
No
765
74.3%
Total
1,.029
100.0%
Base
1,029
Missing case(s)
0

 Table 6 - Experience in Taking Sub-degree Programmes

Frequency
Percentage
Yes - Have taken
23
2.2%
)
Yes - Have considered taking
45
4.3%
)
Both
2
0.2%
)6.7%
No
960
99.3%
Total
1,.029
100.0%
Base
1,029
Missing case(s)
0

 Table 7- Experience in Taking Higher Diploma Programmes

Frequency
Percentage
Yes - Have taken
65
6.3%
)
Yes - Have considered taking
81
7.9%
)
Both
5
0.5%
)14.7%
No
876
85.3%
Total
1,.027
100.0%
Base
1,029
Missing case(s)
2

 G.    Preference for Institution of Continuing Education

  Respondents who had either taken or considered taking any of the courses mentioned were then requested to name the institution of continuing education which they preferred most.  The School of Professional And Continuing Education (SPACE) at HKU was found to be the most popular, chosen by 30% of this sub-sample (i.e. 9% of total sample).  The School of Continuing Studies at CUHK ranked second, chosen by 18% of the sub-sample (or 5% of total sample), followed closely by the School of Professional Education and Executive Development at PolyU, which was chosen by 15% of the sub-sample (or 5% of total sample, Table 8).

  Regarding the major reasons for choosing a particular institution, "reputation of the institution" was cited most frequently (by 8% of total sample), followed by "practical value of the course" (6%), "venue/transportation" (5%) and then "qualification of its teaching staff" (5%, Table 9).

Table 8 - Most Preferred Institution of Continuing Education

Frequency

Percentage

% of total sample (Base=1,029)

HKU School of Professional And Continuing Education, HKU

92

29.5%

8.9%

School of Continuing Studies, CUHK

56

17.8%

5.4%

School of Professional Education and Executive Development, PolyU

48

15.4%

4.7%

School of Continuing Education, HKBU

24

7.8%

2.3%

Continuing and Professional Education, HKUST

23

7.3%

2.2%

School of Continuing and Professional Education, CityU

14

4.5%

1.4%

Li Ka Shing Institute of Professional and Continuing Education, OUHK

10

3.3%

1.0%

Division of Continuing Professional Education, HKIEd

8

2.5%

0.8%

Lingnan Institute of Further Education, Lingnan

1

0.4%

0.1%

Other overseas school of continuing education set up in Hong Kong

1

0.4%

0.1%

Don't know / hard to say

35

11.2%

3.4%

Total

313

100.0%

Base

316

Missing case(s)

3

 Table 9 - Major Reasons for Choosing a Particular Institution

Frequency

% of total responses (Base = 426 responses from 279 respondents)

% of total sample (Base = 1,029)

Reputation of the institution

80

18.9%

7.8%

Practical value of the course

60

14.2%

5.8%

Venue/transportation

55

12.9%

5.3%

Qualification of its teaching staff

50

11.6%

4.9%

Diversification of different courses

39

9.2%

3.8%

Word of mouth / recommended by others

38

9.0%

3.7%

Recognition of the course

38

9.0%

3.7%

Facilities

13

3.2%

1.3%

Alumni

13

3.0%

1.3%

Entrance requirement

12

2.9%

1.2%

Tuition fees

6

1.4%

0.6%

Linkage with other institutions

6

1.3%

0.6%

Enrolment time table

5

1.3%

0.5%

Others (please specify)

4

0.9%

0.4%

Don't know / hard to say

5

1.2%

0.5%

Total

426

100.0%

Base

316

Missing case(s)

37

 H.    Preference for University Graduates

  The last part of this survey studied employers' preference when selecting university graduates.  To begin with, all respondents were asked if they were involved in any recruitment process of new staff in performing their office duties.  Results reveal that 18% of the sample had such authority in one way or another (Table 10).

  Among these respondents, only 13% (i.e. 2% of total sample) had recruited university graduates via university career or counseling centres (Table 11).  These respondents were further asked which university graduates they would prefer most when they looked for a new employee.  Graduates of HKU topped the list, chosen by 24% of these potential employers.  On the other hand, graduates from CUHK and UST were preferred by 18% and 12% of this sub-sample respectively.  Meanwhile, one-fifth of these respondents (20%) said they had no particular preference (Table12).  It should be noted, however, that because of the small sub-sample base for this question, the sampling error could be as high as 3.7 percentage points.  That means at 95% confidence level, the sampling error of percentage figures for this question could be as high as plus/minus 7.4 percentage points, or plus/minus 1.3 percentage points for figures expressed as percentages of the total sample.

  When these respondents were further asked to provide the reasons for their choices, "good performance of previous graduates" was most commonly cited (38% of sub-sample, or 7% of the total sample).  Another 14% (3% of the total sample) thought the graduates of their chosen university were well-equipped with job-related knowledge, whilst 12% (2% of the total sample) preferred certain graduates simply due to the reputation of their university.  Other than these, reasons like "good work attitude", "diligent, motivated" and "good language ability" were mentioned by much fewer respondents (Table 13).

Table 10 - Involvement in Recruitment of New Staff

Frequency

Percentage

Yes

184

17.9%

No

842

82.1%

Total

1,026

100.0%

Base

1,029

Missing case(s)

3

 Table 11 - Experience in Recruiting University Graduates via University Career or Counseling Centres

Frequency

Percentage

% of total sample
(Base = 1,029)

Yes

25

13.4%

2.4%

No

159

86.6%

15.5%

Total

184

100.0%

Base

184

Missing case(s)

0

 Table 12 - Most Preferred University Graduates

Frequency

Percentage

% of total sample
(Base = 1,029)

HKU 

44

24.0%

4.3%

CUHK 

34

18.7%

3.3%

HKUST 

21

11.7%

2.0%

PolyU

11

6.2%

1.1%

CityU

6

3.0%

0.6%

HKBU 

5

2.6%

0.5%

HKIEd

2

1.1%

0.2%

Lingnan

0

0.0%

0.0%

Other overseas universities

2

1.3%

0.2%

Others (please specify)

1

0.6%

0.1%

Don't know / hard to say

20

10.7%

1.9%

No preference

36

19.9%

3.5%

Total

183

100.0%

Base

184

Missing case(s)

1

 Table 13 - Reasons for Preferring Graduates of a Particular University

Frequency

% of total responses (Base = 178 responses from 127 respondents)

% of total sample (Base = 1,029)

Good performance of previous graduates

68

37.8%

6.6%

Good knowledge in job-related areas

26

14.4%

2.5%

Reputation

21

11.8%

2.0%

Good work attitude

12

6.5%

1.2%

Diligent, motivated

12

6.5%

1.2%

Good language ability

10

5.8%

1.0%

Alumni

7

3.8%

0.7%

Good connection with outside (e.g., a university's extensive connection with enterprises, companies, or industrial firms; large number of graduates)

6

3.1%

0.6%

Good social relationship

5

3.0%

0.5%

Good leadership

4

2.3%

0.4%

Salary matched ability

1

0.5%

0.1%

Others (please specify)

6

3.2%

0.6%

Don't know / hard to say

2

1.2%

0.2%

Total

178

100.0%

Base

184

Missing case(s)

6


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