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Table 4 Latent class analysis — typologies of embedded researcher in the data

From: The implementation of embedded researchers in policy, public services, and commercial settings: a systematic evidence and gap map

 

Class 1: remote embedded researcher model

Class 2: low level embeddedness model

Class 3: reverse embedded researcher model

Class 4: classic embedded researcher model

 

Marginal mean

Standard error

Marginal mean

Standard error

Marginal mean

Standard error

Marginal mean

Standard error

Type of embeddedness

        

 Physically embedded—definite

0.0%

0.000

0.0%

0.000

45.1%

0.070

100.0%

0.000

 Physically embedded—probable

37.0%

0.071

0.0%

0.000

11.8%

0.045

0.0%

0.000

 Cultural or institutionally embedded

36.9%

0.071

3.6%

0.035

56.9%

0.069

34.6%

0.047

 Procedurally embedded

52.2%

0.074

0.0%

0.000

25.5%

0.061

24.0%

0.042

 Nature of embeddedness unclear

0.0%

0.000

100.0%

0.001

0.0%

0.000

0.0%

0.000

Direction of embeddedness

        

 Research to policy

100.0%

0.000

75.0%

0.082

0.0%

0.000

100.0%

0.000

 Policy to research

13.0%

0.050

17.9%

0.072

64.7%

0.067

15.4%

0.035

 Other direction

4.3%

0.030

14.3%

0.066

37.2%

0.068

1.9%

0.013

Nature of activities

        

 Research production

71.7%

0.066

64.3%

0.091

78.4%

0.058

74.0%

0.043

 Research facilitation

47.8%

0.074

42.8%

0.094

35.3%

0.067

31.7%

0.046

 Knowledge brokering

50.0%

0.074

46.4%

0.094

47.1%

0.070

60.6%

0.048

 Probability in the data

20.0%

0.026

12.2%

0.022

22.3%

0.028

45.4%

0.033

 Assigned studies

20.1%

46

12.2%

28

22.3%

51

45.4%

104