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Attitudes of Schoolchildren to International Development

Research Study Conducted for the

Department for International Development

March 2000

Contents

 

Introduction *

Summary of Findings *

Implications *

Appendices

Sample Profile

Guide to Statistical Reliability

Marked-up Questionnaire

Computer Tables

Introduction

This document contains an interpretative report from the Year 2000 Survey of Secondary School Pupils, carried out by Market & Opinion Research International (MORI) on behalf of the Department for International Development (DFID). Also included are the marked-up questionnaire, a profile of the sample, a note on statistical reliability, and the computer tables.

As set out in the White Paper on International Development, DFID has set itself the aim of building public awareness and understanding of development issues and global interdependence, and the Government’s policies towards international development, including the poverty reduction targets. A key audience is schoolchildren, and this study aims to provide a benchmark of current attitudes towards international development among this group.

Methodology

The sample of schools comprised 256 middle and secondary state schools in England and Wales. The sampling universe included county, voluntary aided/controlled and grant-maintained schools, but excluded special schools and 6th form colleges. This sampling frame was stratified by the nine Government Standard Regions (GSRs) and within each stratum, schools were selected proportional to the size of the school register, thus producing a nationally representative sample of secondary and middle schools.

The age groups included in the survey were 11-16 year olds in curriculum years 7 to 11. Each school was randomly allocated one of these curriculum years, from which MORI interviewers selected one class at random (using a random number grid) to be interviewed. Interviewing was carried out through self-completion questionnaires with the whole class in one classroom period. A MORI interviewer was present to explain the survey to pupils, to reassure them about the confidentiality of the survey, to assist them in completing the questionnaire, and to collect completed questionnaires. In classes where four or more children were absent during the self-completion session, up to two follow-up visits were arranged to interview absent pupils.

Fieldwork for the study was conducted between 17 January and 29 February 2000. Of the 256 schools approached, 24 declined to participate at the invitation stage (a letter sent to the headteacher) and a further 117 schools refused to participate during the fieldwork period. In total, 115 schools participated, giving a response rate of 45%. Overall, fully completed questionnaires were obtained from 2,767 pupils, an average of 24 pupils per class.

Data were weighted using a cell weight matrix of gender by age within government standard region. The weights for age, sex and region were derived from data supplied by the Department for Education and Employment and the Welsh office. The data on age were accurate at January 1999. The effect of weighting is shown in the sample profile in the Appendices and in the computer tables.

Before fieldwork, a number of pilot interviews for the DFID questions were conducted to ensure that the question wording was suitable for this age group, and findings were fed into the development of the final questionnaire.

Acknowledgements

It is clear that schools are currently working under great pressure from a number of different sources. They also receive numerous requests to participate in surveys such as this. Consequently, we wish to record our gratitude to the many schools that took part and we are indebted to all pupils and staff who made this survey possible.

Presentation and Interpretation of Data

When interpreting the findings it is important to remember that the results are based on a sample of the population, and not the entire population. Consequently, results are subject to sampling tolerances, and not all differences between sub-groups are therefore statistically significant. A guide to statistical significance is included in this document.

In tables where percentages do not add up to 100% this is due to multiple answers, to computer rounding, or to the exclusion of ‘Don’t know’ or ‘No response’ categories. Throughout the tables, an asterisk (*) denotes a value greater than zero, but less than 0.5%.

Some results of this study are compared with an adult Omnibus survey conducted by ONS for the Department for International Development in 1999. Although the questions are not directly comparable (because of the different methodology, and where the question wording has been changed to make it more suitable for a younger audience), this does allow the results to be seen in a wider context.

Publication of Data

As with all our studies, these results are subject to our Standard Terms and Conditions of Contract. Any publication of results requires the prior approval of MORI. Such approval will only be refused on the grounds of inaccuracy or misinterpretation.

 

Summary of Findings

Awareness

Q Which of the following, if any, best describes how much you know about developing countries?
Base:

(2,767)

 

%

I don’t know anything about them

14

I know something about them

69

I know a lot about them

10

   
Don’t know/not stated

8

Source: MORI

mori_graph1.gif (12057 bytes)

 

mori_graph2.gif (7746 bytes)

 

 

 

Q

Would you like to know more about what is happening in developing countries? If so, how?
Base: All

(2,767)

 

%

School lessons

36

TV News

35

Newspapers or magazines

31

Internet

31

Children’s TV programmes (e.g. Newsround, Blue Peter)

30

Other TV or radio programmes

29

Books

26

Charities

23

Other school activities

23

Films at the cinema

19

My family or friends

18

Foreign travel / holidays

16

Church or other religious activities

14

Other

2

   
I don’t know/I don’t want to find out any more

17

Not stated

13

Source: MORI

Interdependence

mori_graph3.gif (7723 bytes)

 

Q In what ways do you think that people in the United Kingdom can be affected by poverty in developing countries, that is, countries that are poorer than our own?
Base: All

(2,767)

 

%

Donating money/giving money/sending money

7

Refugees/immigrants come here looking for work/over-populating us

5

Giving them money means less for our needs/uses up our resources

3

Feel sorry for them/can be upsetting

3

Watching TV/news/media showing poverty

3

Giving them materials/necessary items/food/ clothes

3

Homelessness/living on the streets/have no homes

3

Feel guilty/feel guilty that we have more than them

2

Raising money

2

Having relatives/friends in poor countries

1

Trade would be affected

1

People in this country are not affected

1

Can lead to conflict/war

1

Jobs can be affected

1

Government increasing our taxes

1

Pressured into donating money

1

Lack of money

1

People go out to help them/spend their time helping them

1

Unable to get food/water

1

Sending medical care/health facilities

1

Abolishing Third World debt

1

Makes you realise how lucky we are

1

We have our own homeless/poor/problems in this country

1

Diseases coming over to UK

*

Families split/abandoned

*

Nobody cares enough to help

*

Give them a good education

*

Exploitation of cheap labour

*

Foreign holidays can be affected

*

People in poorer countries waste money

*

Being aware

*

Military support

*

Others

5

   
Don’t know

2

Not stated

62

Source: MORI

mori_graph4.gif (7678 bytes)

 

Reducing poverty

mori_graph5.gif (15662 bytes)

 

mori_graph6.gif (8551 bytes)

 

mori_graph7.gif (8521 bytes)

 

 

Implications

In the light of DFID’s objective to improve the levels of awareness of development issues in schools, there are some encouraging findings from this study. Eight in ten schoolchildren say they know at least something about developing countries, and the majority say that they are concerned about the plight of people in poorer countries. There also appears to be some understanding that this subject is more complicated than simply providing financial assistance to developing countries – the high profile Jubilee 2000 campaign will have helped here, and MORI’s qualitative work indicates that many teachers are already trying to introduce global issues into the classroom.

Nonetheless, while it is relatively easy for children to say they are concerned about developing countries in a questionnaire, it is much more difficult to turn them into active global citizens. There is a demand for more information about development issues in the classroom, but this must be made interesting and relevant to children, while bearing in mind the practical demands of teachers. In the meanwhile, television is likely to remain the main source of information about these topics. There is also a clear difference between how boys and girls view development issues, as well as in the views of older and younger children.

In the longer term, this study should be seen as a benchmark against which to measure future trends in the awareness of and attitudes towards developing world issues among schoolchildren.

 

© MORI/12362 Michele Corrado

March 2000 Gideon Skinner

 

 

Appendices

 

Sample Profile – Survey of Secondary School Pupils

Unweighted

Weighted

Number

%

%

Total

2767

100

100

Age of Pupils

11

448

16

19

12

642

23

19

13

471

17

18

14

563

20

18

15/16

643

23

25

Gender of Pupils

Male

1404

51

51

Female

1363

49

49

Type of school attended

LEA

1977

71

68

Grant-maintained

579

21

22

Other

211

8

10

Comprehensive

2267

82

80

Grammar

185

7

8

Secondary Modern

76

3

4

Middle

239

9

8

Co-educational

2472

89

87

Boys only

104

4

4

Girls only

191

7

9

Ethnic Origin

White

2403

87

82

Black and ethnic minorities

342

12

18

Region

North

321

12

6

Yorks and Humbs

216

8

9

North West

350

13

13

Midlands

529

19

19

East Anglia

340

12

4

South West

341

12

9

SE and London

388

14

34

Wales

282

10

6

Family Composition

Both parents in household

2207

80

78

Single parent in household

503

18

19

Sibling in household

2412

87

86

 

Guide to Statistical Reliability

The respondents to the questionnaire are only samples of the total "population", so we cannot be certain that the figures obtained are exactly those we would have if everybody had been interviewed (the "true" values). We can, however, predict the variation between the sample results and the "true" values from a knowledge of the size of the samples on which the results are based and the number of times that a particular answer is given. The confidence with which we can make this prediction is usually chosen to be 95% - that is, the chances are 95 in 100 that the "true" value will fall within a specified range. The table below illustrates the predicted ranges for different sample sizes and percentage results at the "95% confidence interval".

Size of sample on which survey result is based

Approximate sampling tolerances applicable to percentages at or near these levels

10% or 90%

30% or 70%

50%

+

+

+

100 interviews

6

9

10

500 interviews

3

4

4

1,000 interviews

2

3

3

2,500 interviews

1

2

2

3,000 interviews

1

2

2

For example, with a sample of 2,500 where 30% give a particular answer, the chances are 19 in 20 that the "true" value (which would have been obtained if the whole population had been interviewed) will fall within the range of plus or minus two percentage points from the sample result.

When results are compared between separate groups within a sample, different results may be obtained. The difference may be "real", or it may occur by chance (because not everyone in the population has been interviewed). To test if the difference is a real one – i.e. if it is "statistically significant", we again have to know the size of the samples, the percentage giving a certain answer and the degree of confidence chosen. If we assume "95% confidence interval", the differences between the two sample results must be greater than the values given in the table overleaf:

 

Size of samples compared

Differences required for significance at or near these percentage levels

10% or 90%

30% or 70%

50%

+

+

+

100 and 100

8

13

14

250 and 100

7

11

12

500 and 250

5

7

8

500 and 500

4

6

6

1,000 and 100

6

10

10

1,000 and 500

3

5

5

1,000 and 1,000

3

4

4

1,500 and 1,500

2

3

4

3,000 and 100

6

9

10

 

List of Local Education Authorities by Government Standard Region

North: Cumbria, Durham, Gateshead, Hartlepool, Middlesborough, Newcastle upon Tyne, North Tyneside, Northumberland, Redcar, South Tyneside, Stockton-on-Tees, Sunderland.

Yorkshire and Humberside: Barnsley, Bradford, Calderdale, Doncaster, East Riding of Yorkshire, Kingston-upon-Hull, Kirklees, Leeds, North Yorkshire, Rotherham, Sheffield, Wakefield, York.

North West: Cheshire, Greater Manchester (Wigan, Bolton, Bury, Rochdale, Salford, Trafford, Manchester, Oldham, Tameside, Stockport), Lancashire, Merseyside (Sefton, Wirral, Liverpool, Knowsley, St. Helens).

West Midlands: Hereford & Worcester, Shropshire, Staffordshire, Warwickshire, West Midlands (Wolverhampton, Walsall, Dudley, Sandwell, Birmingham, Solihull, Coventry).

East Midlands: Derbyshire, Leicestershire, Lincolnshire, Northamptonshire, Nottinghamshire.

East Anglia: Cambridgeshire, Norfolk, Suffolk.

South East: Bedfordshire, Berkshire, Buckinghamshire, East Sussex, Essex, Hampshire, Hertfordshire, Isle of Wight, Kent, London (Inner and Outer), Oxfordshire, Surrey, West Sussex.

South West: Bath and North-East Somerset, Bristol, Cornwall & Isles of Scilly, Devon, Dorset, Gloucestershire, North Somerset, Somerset, South Gloucestershire, Wiltshire.

Wales: Aberconwy and Colwyn, Denbighshire, Flintshire, Anglesey, Wrexham, Caernarfonshire and Merionethshire, Powys, Cardiganshire, Pembrokeshire, Carmarthenshire, Swansea, Neath and Port Talbot, Bridgend, Rhonda Cynon Taff, Merthyr Tydfil, Caerphilly, Blaenau Gwent, Torfaen, Monmouthshire, Newport, Cardiff, Vale of Glamorgan.

Marked-up Questionnaire

 

Computer Tables