State of the Sector Panel: Design and Execution of a Panel of NGO Organisations in England - PowerPoint PPT Presentation

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State of the Sector Panel: Design and Execution of a Panel of NGO Organisations in England

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Title: State of the Sector Panel: Design and Execution of a Panel of NGO Organisations in England


1
State of the Sector PanelDesign and Execution
of a Panel of NGO Organisations in England
  • Presentation of findings
  • to Invited Session ICES-3
  • 24th May 2007

2
Introduction
  • UK NGOs (voluntary sector) represents growing
    element in the UK but only limited information is
    available
  • In 2003, a need arose to monitor progress towards
    government targets within the voluntary sector
  • The State of the Sector Panel was set up to meet
    this need and to fill many of the knowledge gaps
    about NGOs
  • But the project was limited by the available
    information required to structure the universe
    and weight the data
  • Panel was constructed for a specific purpose so
    not all NGOs were eligible
  • Needed organisations who deal directly with the
    public
  • Wanted to exclude organisations whose sole
    function is grant making or umbrella bodies who
    deal only with other NGOs
  • Wanted to exclude other NGOs such as trade
    unions, professional bodies, places of worship

3
  • The Government are very keen on amassing
    statistics - they collect them, add them, raise
    them to the nth power, take the cube root and
    prepare wonderful diagrams.
  • Josiah Stamp

4
Non charitable sector
  • NGOs in England fall into two categories
  • Registered Charities
  • Regulated by the Charity Commission
  • Obtain tax advantages but incur regulatory
    obligations
  • Structure of sector well known through annual
    returns to Charity Commission
  • Non-Registered NGOs
  • No reliable data on number, size or activity
  • Separate desk research exercise confirmed lack of
    reliable national information (though some local
    studies have been done)
  • Best estimates suggest that unregistered NGOs
    account for around 20 - 30 of organisations (by
    number but less by income)

5
Panel Design
  • Total sample of 5400 for robust analysis and
    sub-analysis
  • Design limited by lack of available universe data
  • Three stages of stratification
  • Region
  • Geographic locality based on organisations HO
  • Only information available based on government
    funding invested in NGOs in that region
  • Service sector
  • To provide spread across all types of NGO
    (health, education, arts etc)
  • Many organisations work across multiple sectors
  • Region
  • Income (proxy for size)

6
Panel Design (2) Income
  • Good data on registered charities but data on
    non-registered universe confined to small scale
    regional studies.
  • Structure therefore broadly based on registered
    charities though most non-registered are smaller
  • Selection of five income bands based on
    compromise between pragmatism (too many is
    complex) and need to identify differences by size
  • Ideal sample size for each income band also
    compromise

7
Panel Design (3) Final
  • Final structure based on
  • 5 income bands x 9 regions (interlocking)
  • 10 service sectors (overall minimum quotas)
  • Minimum number of organisations targeting
    specific groups (e.g. women, disabled people,
    older people)
  • Optimistic target of 20 registered charities
  • Actually achieved 15

8
Sample Sources
  • A mixture of sample sources were used to try to
    obtain varied mix
  • Again, good information available only for
    registered element of sample.
  • Sources used included
  • National advertising (reaching registered and non
    registered NGOs)
  • Regional government sources (included small
    proportion of non-registered NGOs)
  • Use of Charity Commission database (registered
    charities only)

9
Weighting and its Limitations
  • Lack of knowledge about universe shape was major
    problem
  • Inability to gross up and represent all universe
    has meant some applications are of reduced
    value/not feasible
  • Need for internal consistency to track key
    variables over time
  • Have chosen to weight all surveys to response to
    first postal survey
  • Uses location and income as weighting matrix

10
  • Errors using inadequate data are much less than
    those using no data at all.
  • Charles Babbage

11
Data Collected (1) Surveys Undertaken
  • Main programme each year includes
  • Survey 1 Funding and Activities
  • Survey 2 NGOs relationship with its clients and
    with other NGOs
  • Survey 3 NGOs relationships with government
    (outside of funding)
  • Survey 4 Human resources, IT and accommodation
  • Survey (1) is postal and sent to all panel
    members
  • Response rates in first three years 67 - 81
  • Surveys (2) (4) undertaken by telephone with
    3600 respondents per survey

12
Data Collected (2) Meeting our Objectives
  • Main findings relate to measuring increase in
    activity
  • Activity identified as comprising 23 variables
    but critically
  • Total funding from government
  • Number of employees
  • Number of volunteers
  • Use index to measure change in activity based on
    median figures
  • Based on median figures for key variables
  • Set at 100 for year 1

13
Data Collected (3) Using the data
  • Most of our information has never been
    systematically collected before
  • Analysis is showing variations by size (most
    significant variable) but also by service sector,
    by region and by proportion of funding
  • Panel also provides NGOs with an opportunity to
    feed their views and expectations back to
    government
  • Panel members also approached for number of ad
    hoc studies in addition to main programme
  • E.g. recent study of (small and medium)
    organisations operating locally explored their
    knowledge and experience of available funding
    sources

14
Examples of findings (1) Obstacles to activities

Unweighted Base All Respondents (4482)
  • Shows that, after funding, accommodation is key
    problem
  • Further investigation reveals that main reasons
    are
  • Lack of space
  • Lack of disabled facilities
  • Insufficient funding to resolve difficulties in
    full

15
Examples of findings (2) Government Funding

Unweighted Base All Respondents (4482/3687)
  • Shows shift of funding source from central
    government to local authority
  • Provides evidence that government policy to
    devolve funding responsibilities is having a
    positive effect

16
Summary
  • Main source of difficulties is lack of
    information on key element of NGO universe
  • Pragmatic approach required to overcome
    limitations
  • Have been able to track key variables over time
  • Have not been able to gross up and provide much
    needed information about all NGOs
  • Separate work now underway to obtain more
    structured information on non-regulated part of
    sector
  • Main spin offs have resulted and government
    policy has firmer evidence base
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