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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