Exploring the psychometric properties of a tripartite model of risk perception (TRIRISK) in a general U.S. population sample

Figures & data

Table 1. Demographic breakdown of sample used in this study and comparison of this study population to that of the Ferrer et al. paper (Ferrer et al., 2016).

	N (%)	Ferrer et al. cancer study 1	p-value	Ferrer et al. cancer study 2	p-value
Total	704	458		473
Mean age (SD)	46.93 (16.90)	33.46 (10.07)	<0.0001	32.80 (10.90)	<0.0001
Age range	18–100	18–75		18–67
Age			–		–
Less than 46	358 (51%)
46 and Greater	346(49%)
Sex			<0.0001		<0.0001
Male	278 (40%)	55%		57%
Female	412 (59%)	45%		43%
Education			<0.0001		<0.0001
Less than college	233 (33%)	64%		65%
College or more	471 (67%)	36%		35%
Race			<0.0001		<0.0001
White	575 (82%)	67%		62%
Other	129 (18%)	33%		38%
Smoking status			–		–
Current	65 (9%)
Former	174 (25%)
Never	464 (66%)

Table 2. Model fit indices for final TRIRISK models, original TRIRISK models, one factor models, and two factor models.

	CANCER						RESPIRATORY ILLNESS
	χ2	df	p	CFI	RMSEA (95% CI)	SRMR	χ2	df	p	CFI	RMSEA (95% CI)	SRMR
Final model	694.22	124	0.00	0.95	0.08 (0.08, 0.09)	0.05	795.95	127	0.00	0.96	0.09 (0.08, 0.09)	0.04
Original TRIRISK	1857.92	132	0.00	0.85	0.14 (0.13, 0.14)	0.07	1625.99	132	0.00	0.91	0.13 (0.12, 0.13)	0.04
One factor	3128.93	135	0.00	0.74	0.18 (0.17, 0.18)	0.11	2762.86	135	0.00	0.84	0.17 (0.16, 0.17)	0.70
Two factor 1	2280.80	134	0.00	0.82	0.15 (0.15, 0.16)	0.08	1968.80	134	0.00	0.89	0.14 (0.13, 0.15)	0.05
Two factor 2	2141.32	134	0.00	0.83	0.15 (0.14,0.15)	0.09	1942.63	134	0.00	0.89	0.14 (0.13, 0.14)	0.06

Table 3. Standardized factor loadings of final models.

		CANCER		RESPIRATORY ILLNESS
Item Number		Coefficient	p-value	Coefficient	p-value
	Deliberative	alpha = 0.73		alpha = 0.76
2	How likely is it that you will get ___ at some point in the future?	0.84	0.00	0.94	0.00
1	On a scale from 0 to 100%, how would you rate the probability that you will develop ___ in the future?	0.75	0.00	0.87	0.00
3	The way I look after my health means that my odds of getting ___ in the future are:	0.83	0.00	0.88	0.00
4	When I think carefully about my lifestyle, it does seem possible that I could get ___.	0.60	0.00	0.65	0.00
5	If I look at myself as if I was a doctor, I realize that my behavior puts me at risk of getting ___.	0.49	0.00	0.66	0.00
10	How do you think your chance of developing __ in the future compares to the average person of your gender and age?	0.62	0.00	0.71	0.00
	Affective	alpha = 0.97		alpha = 0.98
11	How worried are you about developing ___ in the future?	0.90	0.00	0.97	0.00
12	How fearful are you about developing ___ in the future?	0.95	0.00	0.97	0.00
13	How nervous are you about developing ___ in your lifetime?	0.95	0.00	0.97	0.00
14	When you think about ___ for a moment, to what extent do you feel fearful?	0.85	0.00	0.92	0.00
15	When you think about ___ for a moment, to what extent do you feel worried?	0.88	0.00	0.92	0.00
16	When you think about ___ for a moment, to what extent do you feel anxious?	0.83	0.00	0.90	0.00
	Experiential	alpha = 0.56		alpha = 0.61
17	How concerned are you about developing __ in your lifetime?	0.91	0.00	0.93	0.00
18	How easy is it for you to imagine yourself developing __ future?	0.78	0.00	0.90	0.00
6	I feel very vulnerable to ___.	0.62	0.00	0.78	0.00
7	I am confident that I will not get ___. [reverse scored]	0.54	0.00	0.60	0.00
8	I would be lying if I said ‘There is no chance of me getting ___.’	0.34	0.00	0.34	0.00
9	My first reaction when I hear of someone getting ___ is ‘that could be me someday.’	0.53	0.00	0.71	0.00

Table 4. Comparing TRIRISK model fit across demographic and behavioral groups.

	CANCER			RESPIRATORY ILLNESS
	Unconstrained Model	Constrained Model	Modified Constrained Model	Unconstrained Model	Constrained Model	Modified Constrained Model
Sex
Chi square	907.10	947.65	796.44	991.64	1013.12	930.28
DF	263	278	268	269	284	281
Male contribution	365.44	389.37	386.04	449.91	463.01	460.94
Female contribution	541.67	558.28	410.40	541.73	550.11	469.34
Race
Chi square	994.13	1018.96	855.81	1017.04	1047.40	793.39
DF	263	278	269	269	284	274
White contribution	589.92	594.80	431.94	654.94	659.07	405.00
Other contribution	404.21	424.16	423.88	362.10	388.33	388.40
Education
Chi square	922.66	953.85	764.78	1089.41	1115.09	791.97
DF	263	278	267	269	284	273
Less than college contribution	346.42	368.19	369.09	375.34	392.17	391.88
College or more contribution	576.23	585.66	395.69	714.07	722.91	400.09
Smoking status
Chi square	1233.86	1314.09	1184.89	1244.03	1321.70	1079.83
DF	402	432	424	411	441	430
Current contribution	288.03	332.26	333.80	300.11	360.51	352.97
Former contribution	362.82	390.51	394.46	347.39	358.83	360.96
Never contribution	583.00	591.32	456.63	596.54	602.36	365.90

Ferrer, R. A., Klein, W. M. P., Persoskie, A., Avishai-Yitshak, A., & Sheeran, P. (2016). The tripartite model of risk perception (TRIRISK): Distinguishing deliberative, affective, and experiential components of perceived risk. Annals of Behavioral Medicine, 50(5), 653–663. https://doi.org/10.1007/s12160-016-9790-z

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Data availability statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.