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. 2023 Sep 25;11(1):2257295. doi: 10.1080/21642850.2023.2257295

Table 1.

Exploratory factor analysis on ‘motivation to adhere to COVID prevention measures’ scale.

Variable Autonomous Controlled Amotivation Communalities
Because I find them personally relevant .92 –.11 .00 .87
Because they are in line with my values .87 –.13 –.04 .85
Because I fully support them .86 –.16 –.05 .84
Because I do it out of an obligation to myself .73 .03 –.02 .55
Because then I can be proud of myself .70 .12 .02 .47
Because I think they are important .56 –.07 –.40 .81
Because I feel pressured to do so –.20 .80 .08 .75
Because otherwise I will be criticized –.00 .69 –.05 .47
Because I feel compelled to do so –.12 .65 .16 .54
Because I would be ashamed if I didn’t do that .34 .48 –.11 .37
I do not adhere to the measures because I do not see the point in them –.07 –.04 .85 .80
I see no reason to adhere to the measures .07 .00 .81 .58
I do not understand why I should adhere to the measures –.00 .04 .75 .58
Initial Eigenvalue 6.33 2.20 1.06  
% of variance 48.68 16.93 8.16  

Note. Factor loadings over .40 appear in bold. N = 2272. The extraction method was maximal likelihood with an oblique (direct oblimin) rotation. The item stem was: Why do you adhere or would you adhere to measures to prevent the spread of the coronavirus (e.g. using a face mask, keeping a safe distance, and minimizing social contacts)? I adhere or would adhere to measures.