Maladaptive risk attitudes, such as extreme risk seeking and risk aversion, are closely linked to psychopathology such as psychopathy and anxiety. Having culturally appropriate assessments of risk attitudes is essential for the research of psychology and psychopathology of responses to risk in a target population. We aimed to develop and validate the multi-domain risk tolerance (MDRT) scale for the multi-ethnic Singaporean population. Initial items were constructed from revising the item pool used in the previous study via interviews with Singaporean community-dwelling adults (N = 31). The candidate items of the MDRT were then tested and selected via a subsequent survey study (N = 882). A second longitudinal study (N = 1003) with two time-point measurements was conducted to validate the MDRT scale. The results suggested that the scale had satisfactory structural validity, criterion validity, internal consistency, and test-retest reliability. The MDRT scale also demonstrated scalar measurement invariance across genders and age groups. The results further highlighted the importance of cultural adaptation of measures in risk attitudes and continuing improvement of assessment and understanding of risk attitudes across populations.
BlaisA.-R.WeberE. U. (2006). A Domain-Specific Risk-Taking (DOSPERT) scale for adult populations. Judgment and Decision Making, 1(1), 33–47. https://doi.org/10.1017/S1930297500000334
2.
BreuerW.KollathJ.SalzmannA. J.Von NitzschR. (2013). The assessment of risk behavior: A cross-cultural analysis using the Dospert scale. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2292364
3.
ChenF. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. https://doi.org/10.1080/10705510701301834
4.
ChenF.HsuC.-L.LinA. J.LiH. (2020). Holding risky financial assets and subjective wellbeing: Empirical evidence from China. The North American Journal of Economics and Finance, 54, 101142. https://doi.org/10.1016/j.najef.2020.101142
5.
CheungH. Y.WuJ.TaoJ. (2013). Risk perception and risk-taking attitude: A comparison between Hong Kong and Mainland Chinese undergraduate students. The Asia-Pacific Education Researcher, 22(4), 497–506. https://doi.org/10.1007/s40299-012-0048-7
6.
DohmenT.FalkA.HuffmanD.SundeU.SchuppJ.WagnerG. G. (2011). Individual risk attitudes: Measurement, determinants, and behavioral consequences. Journal of the European Economic Association, 9(3), 522–550. https://doi.org/10.1111/j.1542-4774.2011.01015.x
FarnhamA.ZieglerS.BlankeU.StoneE.HatzC.PuhanM. A. (2018). Does the DOSPERT scale predict risk-taking behaviour during travel? A study using smartphones. Journal of Travel Medicine, 25(1). https://doi.org/10.1093/jtm/tay064
9.
FrytJ.SzczygiełM.DuellN. (2022). Positive and negative risk-taking: Age patterns and relations to domain-specific risk-taking. Advances in Life Course Research, 54, 100515. https://doi.org/10.1016/j.alcr.2022.100515
10.
GalizziM. M.MiraldoM.StavropoulouC. (2016). In sickness but not in wealth: Field evidence on patients’ risk preferences in financial and health domains. Medical Decision Making, 36(4), 503–517. https://doi.org/10.1177/0272989X15626406
11.
GloedeO.MenkhoffL.WaibelH. (2015). Shocks, individual risk attitude, and vulnerability to poverty among rural households in Thailand and Vietnam. World Development, 71, 54–78. https://doi.org/10.1016/j.worlddev.2013.11.005
12.
GolinoH.ChristensenA. P.MoulderR.GarridoL. E.JamisonL.ShiD. (2023). Eganet—Exploratory graph analysis: A framework for estimating the number of dimensions in multivariate data using network psychometrics. R package version 2.0.6. https://doi.org/10.32614/CRAN.package.EGAnet
13.
GolinoH.EpskampS. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS One, 12(6), e0174035. https://doi.org/10.1371/journal.pone.0174035
14.
GolinoH.ShiD.ChristensenA. P.GarridoL. E.NietoM. D.SadanaR.ThiyagarajanJ. A.Martinez-MolinaA. (2020). Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial. Psychological Methods, 25(3), 292–320. https://doi.org/10.1037/met0000255
15.
GoretzkoD.PhamT. T. H.BühnerM. (2021). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current Psychology, 40, 3510–3521.
16.
HardewegB.MenkhoffL.WaibelH. (2013). Experimentally validated survey evidence on individual risk attitudes in rural Thailand. Economic Development and Cultural Change, 61(4), 859–888. https://doi.org/10.1086/670378
17.
HoC.TeerawichitchainanB.TanJ.Lie TanE. R. (2023). Risk attitudes in late adulthood: Do parenthood status and family size matter?Research on Aging, 45(5–6), 423–437. https://doi.org/10.1177/01640275221116091
18.
HoffmannR.MuttarakR. (2017). Learn from the past, prepare for the future: Impacts of education and experience on disaster preparedness in the Philippines and Thailand. World Development, 96, 32–51. https://doi.org/10.1016/j.worlddev.2017.02.016
19.
JorgensenT. D.PornprasertmanitS.SchoemannA. M.RosseelY. (2022). semTools: Useful tools for structural equation modeling. R package version 0.5-6. https://CRAN.R-project.org/package=semTools
20.
KimY.KimK.KimT. H. (2014). Domain specific relationships of 2D:4D digit ratio in risk perception and risk behavior. The Journal of General Psychology, 141(4), 373–392. https://doi.org/10.1080/00221309.2014.950188
21.
KlineR. B. (2023). Principles and practice of structural equation modeling. Guilford publications.
22.
KooT. K.LiM. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012
23.
LeeK.AshtonM. C. (2018). Psychometric properties of the HEXACO-100. Assessment, 25(5), 543–556.
24.
LeongF. T. L.OkazakiS.TakJ. (2003). Assessment of depression and anxiety in East Asia. Psychological Assessment, 15(3), 290–305. https://doi.org/10.1037/1040-3590.15.3.290
25.
LönnqvistJ.-E.VerkasaloM.WalkowitzG.WichardtP. C. (2015). Measuring individual risk attitudes in the lab: Task or ask? An empirical comparison. Journal of Economic Behavior & Organization, 119, 254–266. https://doi.org/10.1016/j.jebo.2015.08.003
26.
LuongR.FlakeJ. K. (2023). Measurement invariance testing using confirmatory factor analysis and alignment optimization: A tutorial for transparent analysis planning and reporting. Psychological Methods, 28(4), 905.
27.
MarkiewiczŁ.MudaR.KubińskaE.AugustynowiczP. (2020). An explanatory analysis of perceived risk decision weights (perceived-risk attitudes) and perceived benefit decision weights (perceived-benefit attitudes) in risk-value models. Journal of Risk Research, 23(6), 739–761. https://doi.org/10.1080/13669877.2019.1628089
28.
MataR.JosefA. K.HertwigR. (2016). Propensity for risk taking across the life span and around the globe. Psychological Science, 27(2), 231–243. https://doi.org/10.1177/0956797615617811
29.
MognardE.NaidooK.LaporteC.TibèreL.AlemY.KhusunH.FebruhartantyJ.NiiyamaY.UedaH.DasguptaA.DupuyA.RochedyA.YuenJ. L.IsmailM. N.NairP. K.RagavanN. A.PoulainJ.-P. (2023). “Eating out”, spatiality, temporality and sociality. A database for China, Indonesia, Japan, Malaysia, Singapore and France. Frontiers in Nutrition, 10, 1066737. https://doi.org/10.3389/fnut.2023.1066737
30.
R Core Team. (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
31.
R Core Team. (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
32.
ReeckC.Mullette-GillmanO. A.McLaurinR. E.HuettelS. A. (2022). Beyond money: Risk preferences across both economic and non-economic contexts predict financial decisions. PLoS One, 17(12), e0279125. https://doi.org/10.1371/journal.pone.0279125
33.
RevelleW. (2024). psych: Procedures for psychological, psychometric, and personality research. Northwestern University. R package version 2.4.3. https://CRAN.R-project.org/package=psych
RolisonJ. J.HanochY.WoodS.LiuP.-J. (2014). Risk-taking differences Across the adult life span: A question of age and domain. The Journals of Gerontology: Series B, 69(6), 870–880. https://doi.org/10.1093/geronb/gbt081
36.
RolisonJ. J.ShentonJ. (2020). How much risk can you stomach? Individual differences in the tolerance of perceived risk across gender and risk domain. Journal of Behavioral Decision Making, 33(1), 63–85. https://doi.org/10.1002/bdm.2144
37.
RosseelY. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
38.
SchubertR. (2006). Analyzing and managing risks—on the importance of gender differences in risk attitudes. Managerial Finance, 32(9), 706–715. https://doi.org/10.1108/03074350610681925
39.
SchwartzA.YamagishiK.HiraharaN.OnishiH.BarnesJ.RosmanA.GarciaM.LeeS.ButlerS. (2013). Risk perception and risk attitudes in Tokyo: A report of the first administration of DOSPERT+M in Japan. Judgment and Decision Making, 8(6), 691–699. https://doi.org/10.1017/S1930297500004721
40.
ShouY.LiuF.TakemuraK.OlneyJ. (2024). Measuring risk tolerance among Japanese adults and cross-national comparison of its role in COVID-19 attitudes. European Journal of Psychological Assessment, 1015-5759/a000831. https://doi.org/10.1027/1015-5759/a000831
41.
ShouY.OlneyJ. (2020). Assessing a domain-specific risk-taking construct: A meta-analysis of reliability of the DOSPERT scale. Judgment and Decision Making, 15(1), 112–134. https://doi.org/10.1017/S193029750000694X
42.
ShouY.OlneyJ. (2021). Attitudes toward risk and uncertainty: The role of subjective knowledge and affect. Journal of Behavioral Decision Making, 34(3), 393–404. https://doi.org/10.1002/bdm.2217
43.
ShouY.OlneyJ. (2022). Measuring risk tolerance across domains: Scale development and validation. Journal of Personality Assessment, 104(4), 484–495. https://doi.org/10.1080/00223891.2021.1966019
44.
ShouY.OlneyJ.WangM.-C. (2023). Cross-cultural assessment and comparisons of risk tolerance across domains. Current Psychology, 42(18), 15368–15380. https://doi.org/10.1007/s12144-022-02843-3
45.
StegL.De GrootJ. I. M.DreijerinkL.AbrahamseW.SieroF. (2011). General antecedents of personal norms, policy acceptability, and intentions: The role of values, worldviews, and environmental concern. Society & Natural Resources, 24(4), 349–367. https://doi.org/10.1080/08941920903214116
46.
UllahA. K. M. A.Ming Yit HoH. (2021). Globalisation and cultures in Southeast Asia: Demise, fragmentation, transformation. Global Society, 35(2), 191–206. https://doi.org/10.1080/13600826.2020.1747992
47.
Van De VijverF. J. R.HeJ. (2020). Research methods in cross-cultural psychology. In VanF. J. R.VijverDeHeJ. (Eds.), Oxford research encyclopedia of psychology. Oxford University Press. https://doi.org/10.1093/acrefore/9780190236557.013.454
48.
Van WinsenF.De MeyY.LauwersL.Van PasselS.VancauterenM.WautersE. (2016). Determinants of risk behaviour: Effects of perceived risks and risk attitude on farmer’s adoption of risk management strategies. Journal of Risk Research, 19(1), 56–78. https://doi.org/10.1080/13669877.2014.940597
49.
VieiderF. M.LefebvreM.BouchouichaR.ChmuraT.HakimovR.KrawczykM.MartinssonP. (2015). Common components of risk and uncertainty attitudes across contexts and domains: Evidence from 30 countries. Journal of the European Economic Association, 13(3), 421–452. https://doi.org/10.1111/jeea.12102
50.
VieiraK. M.FloresS. A. M.Mendes-Da-SilvaW. (2024). Perceived risks and benefits of medical remedies and procedures: What do men and women think?RAM. Revista de Administração Mackenzie, 25(1), eRAMG240026. https://doi.org/10.1590/1678-6971/eramg240026.en
51.
VilagutG. (2024). Test-retest reliability. In A. C. Michalos, (Ed.), Encyclopedia of quality of life and well-being research (pp. 7180–7184). Springer International Publishing.
52.
WangT.LiuJ.ZhuH.JiangY. (2024). The impact of risk aversion and migrant work experience on farmers’ entrepreneurship: Evidence from China. Agriculture, 14(2), 209. https://doi.org/10.3390/agriculture14020209
53.
WeberE. U.BlaisA.BetzN. E. (2002). A domain-specific risk-attitude scale: Measuring risk perceptions and risk behaviors. Journal of Behavioral Decision Making, 15(4), 263–290. https://doi.org/10.1002/bdm.414
54.
WicharyS.PachurT.LiM. (2015). Risk-taking tendencies in prisoners and nonprisoners: Does gender matter?Journal of Behavioral Decision Making, 28(5), 504–514. https://doi.org/10.1002/bdm.1866
WuJ.CheungH. Y. (2014). Confirmatory factor analysis of Dospert scale with Chinese university students. Psychological Reports, 114(1), 185–197. https://doi.org/10.2466/09.03.PR0.114k15w2
57.
ZhangD. C.FosterG. C.McKennaM. G. (2019). Is the DOSPERT gender invariant? A psychometric test of measurement invariance. Journal of Behavioral Decision Making, 32(2), 203–211. https://doi.org/10.1002/bdm.2105
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