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Table 2 Distribution of the 12 latent class analysis variables across the three audience segments, US state legislators, 2017 (N = 475)

From: Audience segmentation to disseminate behavioral health evidence to legislators: an empirical clustering analysis

 

All

Budget-oriented skeptics with stigma

Action-oriented supporters

Passive supporters

χ2 p value

%

%

%

%

Perceptions of behavioral health treatment effectiveness

 Strong agreement that mental health treatments can be effective

54.1

16.9

73.8

98.9

< .0001

 Strong agreement that substance use disorder treatments can be effective

49.1

12.6

78.5

84.8

< .0001

Mental illness stigma score quartile

 1st quartile (score range = 0, 3)

30.5

12.0

47.1

46.6

< .0001

 2nd quartile (score range = 4, 5)

17.8

11.2

19.6

27.1

 3rd quartile (score range = 6, 8)

30.9

42.6

23.2

18.5

 4th quartile (score range = 9, 14)

20.7

34.2

10.1

7.8

Factors that have the most influence on support for a behavioral health bill

 Extent to which the bill is going to impact the state budget

47.7

61.4

29.2

40.5

< .0001

 Extent to which the bill is based on scientific evidence

60.5

46.1

74.1

72.7

< .0001

Most important health issues for legislative action in the state

 Mental health

37.1

29.3

45.6

43.0

.0007

 Substance abuse

45.0

41.1

58.3

40.2

.004

History of introducing behavioral health bill

 Mental health bill

34.8

13.4

90.7

23.2

< .0001

 Substance abuse bill

31.4

15.4

96.3

4.6

< .0001

  1. χ2 testing differences in the proportion of legislators with each latent class analysis variable characteristic across audience segments