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Getting Welfare to WorkStreet-Level Governance in Australia, the UK, and the Netherlands$

Mark Considine, Jenny M. Lewis, Siobhan O'Sullivan, and Els Sol

Print publication date: 2015

Print ISBN-13: 9780198743705

Published to Oxford Scholarship Online: October 2015

DOI: 10.1093/acprof:oso/9780198743705.001.0001

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(p.186) Appendix 3 (for Chapter 9)

(p.186) Appendix 3 (for Chapter 9)

Source:
Getting Welfare to Work
Publisher:
Oxford University Press

Table 1. Networking types, 1998

Australia (Total variance explained = 46.1%)

Frequency of contact with:

Basic

Public

Civic

Other parts of own organization

0.58

(Other) government departments

0.54

-0.47

Local government

0.65

Welfare agencies

0.71

Employers

0.74

Training agencies

0.46

Advisers in other agencies

0.52

Local service clubs (eg Rotary)

0.82

Schools and universities

0.67

Local media

0.45

The Netherlands (Total variance explained = 48.9%)

Frequency of contact with:

Basic

Public

Civic

Other parts of own organization

0.52

0.40

(Other) government departments

0.70

Local government

0.68

Welfare agencies

0.68

Employers

0.69

Training agencies

0.62

Advisers in other agencies

0.84

Local service clubs (eg Rotary)

0.73

Schools and universities

0.46

Local media

0.68

UK (Total variance explained = 50.8%)

Frequency of contact with:

Basic

Public

Civic

Other parts of own organization

0.68

(Other) government departments

0.75

Local government

0.69

Welfare agencies

0.47

Employers

0.77

Training agencies

0.68

Advisers in other agencies

0.65

Local service clubs (eg Rotary)

0.77

Schools and universities

0.71

Local media

0.63

(p.187)

  • Principal components analysis with varimax rotation and a forced 3-factor solution.

  • Only factor loadings with a magnitude of 0.40 and greater are shown, for ease of interpretation.

Table 2. Networking types, 2008

Australia (Total variance explained = 48.8%)

Frequency of contact with:

Basic

Public

Civic

Other parts of own organization

0.54

(Other) government departments

0.75

Local government

0.65

Welfare agencies

0.58

Employers

0.75

Training agencies

0.52

Advisers in other agencies

0.64

Local service clubs (eg Rotary)

0.75

Schools and universities

0.49

Local media

0.68

The Netherlands (Total variance explained = 44.4%)

Frequency of contact with:

Basic

Public

Civic

Other parts of own organization

0.47

(Other) government departments

0.77

Local government

0.53

Welfare agencies

0.65

Employers

0.78

Training agencies

0.74

Advisers in other agencies

-0.72

Local service clubs (eg Rotary)

0.75

Schools and universities

0.46

Local media

UK (Total variance explained = 48.6%)

Frequency of contact with:

Basic

Public

Civic

Other parts of own organization

0.57

(Other) government departments

0.79

Local government

0.69

Welfare agencies

0.43

0.46

Employers

0.72

Training agencies

0.67

Advisers in other agencies

0.75

Local service clubs (eg Rotary)

0.76

Schools and universities

0.73

Local media

  • Principal components analysis with varimax rotation and a forced 3-factor solution.

  • Only factor loadings with a magnitude of 0.40 and greater are shown, for ease of interpretation.

(p.188)

Table 3. Networking types, 2012

Australia (Total variance explained = 53.4%)

Frequency of contact with:

Basic

Public

Civic

Other parts of own organization

0.66

(Other) government departments

0.72

Local government

0.48

0.49

Welfare agencies

0.74

Employers

0.80

Training agencies

0.61

Advisers in other agencies

0.41

0.47

Local service clubs (eg Rotary)

0.79

Schools and universities

0.52

Local media

0.81

UK (Total variance explained = 61.4%)

Frequency of contact with:

Basic

Public

Civic

Other parts of own organization

0.54

(Other) government departments

0.56

Local government

0.78

Welfare agencies

0.50

0.47

Employers

0.70

Training agencies

0.69

Advisers in other agencies

0.79

Local service clubs (eg Rotary)

0.50

0.65

Schools and universities

0.80

Local media

0.82

  • Principal components analysis with varimax rotation and a forced 3-factor solution.

  • Only factor loadings with a magnitude of 0.40 and greater are shown, for ease of interpretation.