College students with and without disabilities attending 2 public universities in the Midwestern United States completed measures of Planned Happenstance Skills (PHS) and reported their demographic attributes (i.e., age, year of study, gender, race/ethnicity, SES, disability status). In general, the result shows that disability status, gender, race/ethnicity, and year of study were significant predictors of PHS levels. We also examined the magnitude of differences in PHS in each dimension (i.e., curiosity, flexibility, persistence, optimism, and risk-taking) between college students with and without disabilities after controlling for the key covariates. The result shows that college students with disabilities generally exhibited similar and slightly higher PHS levels compared to their counterparts without disabilities. Possible explanations of the results and limitations are discussed, along with implications for research and practice.
AhmedM.AnwarM. N.KhanS. (2017). Social adjustments and self-efficacy of university students. PUTAJ Humanities and Social Sciences, 24(2), 21–32. https://www.researchgate.net/profile/Mushtaq-Ahmad-Malik/publication/325069925_Social_adjustments_and_Self-efficacy_of_University_Students/links/5af49b53a6fdcc0c030af54c/Social-adjustments-and-Self-efficacy-of-University-Students.pdf
2.
AhnS.JungS. H.JangS. H.DuX.LeeB. H.RheeE.GysbersN.LeeS. M. (2015). Planned happenstance skills and occupational identity status in high school students. Career Development Quarterly, 63(1), 31–43. https://doi.org/10.1002/j.2161-0045.2015.00093.x
3.
AshbyJ. S.SchoonI. (2010). Career success: The role of teenage career aspirations, ambition value and gender in predicting adult social status and earnings. Journal of Vocational Behavior, 77(3), 350–360. https://doi.org/10.1016/j.jvb.2010.06.006
4.
BetsworthD. G.HansenJ.-I. C. (1996). The categorization of serendipitous career development events. Journal of Career Assessment, 4(1), 91–98. https://doi.org/10.1177/106907279600400106
5.
BetzN. E.KleinK. L.TaylorK. M. (1996). Evaluation of a short form of the Career Decision-Making Self-Efficacy Scale. Journal of Career Assessment, 4(1), 47–57. https://doi.org/10.1177/106907279600400103
6.
BetzN. E.LuzzoD. A. (1996). Career assessment and the Career Decision-Making Self-Efficacy Scale. Journal of Career Assessment, 4(4), 413–428. https://doi.org/10.1177/106907279600400405
7.
BolatN.OdaciH. (2017). High school final year students’ career decision-making self-efficacy, attachment styles, and gender role orientations. Current Psychology, 36(2), 252–259. https://doi.org/10.1007/s12144-016-9409-3
8.
BrightJ. E. H.PryorR. G. L.ChanE. W. M.RijantoJ. (2009). Chance events in career development: Influence, control and multiplicity. Journal of Vocational Behavior, 75(1), 14–25. https://doi.org/10.1016/j.jvb.2009.02.007
9.
CardosoP.MarquesJ. F. (2008). Perception of career barriers: The importance of gender and ethnic variables. International Journal for Educational and Vocational Guidance, 8(1), 49–61. https://doi.org/10.1007/s10775-008-9135-y
10.
CarterE. W.DutchmanN.Ye Sun TrainorA. A.SwedeenB.OwensL. (2010). Summer employment and community experiences of transition-age youth with severe disabilities. Exceptional Children, 76(2), 194–212. https://doi.org/10.1177/001440291007600204
11.
CarterE. W.TrainorA. A.CakirogluO.SwedeenB.OwensL. A. (2010). Availability of and access to career development activities for transition-age youth with disabilities. Career Development for Exceptional Individuals, 33(1), 13–24. https://doi.org/10.1177/0885728809344332
12.
ChungY. B. (2002). Career decision-making self-efficacy and career commitment: Gender and ethnic differences among college students. Journal of Career Development, 28(4), 277–284. https://doi.org/10.1177/089484530202800404
13.
CohenJ. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
14.
CoxD. W.KrieshokT. S.BjornsenA. L.ZumboB. D. (2015). Occupational Engagement Scale–student: Development and initial validation. Journal of Career Assessment, 23(1), 107–116. https://doi.org/10.1177/1069072714523090
15.
CritesJ. O. (1969). Vocational psychology: The study of vocational behavior and development. McGraw-Hill.
16.
DipeoluA.SniateckiJ. L.StorlieC. A.HargraveS. (2013). Dysfunctional career thoughts and attitudes as predictors of vocational identity among young adults with attention deficit hyperactivity disorder. Journal of Vocational Behavior, 82(2), 79–84. https://doi.org/10.1016/j.jvb.2013.01.003
17.
FabianE. S.BeveridgeS.EthridgeG. (2009). Differences in perceptions of career barriers and supports for people with disabilities by demographic, background and case status factors. Journal of Rehabilitation, 75(1), 41–49.
18.
FortI.MurariuA. (2018). The paths between gender, barriers, social support, coping efficacy and vocational indecision. International Journal for Educational and Vocational Guidance, 18(3), 241–256. https://doi.10.1007/s10775-018-9359-4
19.
GallT. L.EvansD. R.BelleroseS. (2000). Transition to first-year university: Patterns of change in adjustment across life domains and time. Journal of Social and Clinical Psychology, 19(4), 544–567. https://doi.org/10.1521/jscp.2000.19.4.544
GilL. A. (2007). Bridging the transition gap from high school to college: Preparing students with disabilities for a successful postsecondary experience. Teaching Exceptional Children, 40(2), 12–15. https://doi.org/10.1177/004005990704000202
22.
HedgesL. V. (1981). Distribution theory for glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6(2), 107–128. https://doi.org/10.2307/1164588
23.
HolwerdaA.BrouwerS.de BoerM. R.GroothoffJ. W.van der KlinkJ. J. L. (2015). Expectations from different perspectives on future work outcome of young adults with intellectual and developmental disabilities. Journal of Occupational Rehabilitation, 25(1), 96–104. https://doi.org/10.1007/s10926-014-9528-3
24.
HowardK. A. S.CarlstromA. H.KatzA. D.ChewA. Y.RayG. C.LaineL.CaulumD. (2011). Career aspirations of youth: Untangling race/ethnicity, SES, and gender. Journal of Vocational Behavior, 79(1), 98–109. https://doi.org/10.1016/j.jvb.2010.12.002
25.
HwangH. D.JungS. H.JangS. H.LeeS. M. (2012). Examining the relationship of career aspiration and job exploration behavior on the level of planned happenstance skills. Korean Journal of Youth Counseling, 20, 193–210. https://doi.org/10.35151/kyci.2012.20.2.008
26.
JiangZ. (2014). Emotional intelligence and career decision-making self-efficacy: National and gender differences. Journal of Employment Counseling, 51(3), 112–124. https://doi.org/10.1002/j.2161-1920.2014.00046.x
27.
KimB.JangS. H.JungS. H.LeeB. H.PuigA.LeeS. M. (2014). A moderated mediation model of planned happenstance skills, career engagement, career decision self-efficacy, and career decision certainty. Career Development Quarterly, 62(1), 56–69. https://doi.org/10.1002/j.2161-0045.2014.00070.x
28.
KimB.KimS. R.YangN. Y.YaungH.HaG. Y.YangJ. Y.LeeB.LeeS. M. (2018). Longitudinal relationships between planned happenstance skills and life adjustment and the moderating role of career barriers. Journal of Career Development, 45(3), 215–226. https://doi.org/10.1177/0894845316681078
29.
KimB.LeeB. H.HaG.LeeH. K.LeeS. M. (2015). Examining longitudinal relationships between dysfunctional career thoughts and career decision-making self-efficacy in school-to-work transition. Journal of Career Development, 42(6), 511–523. https://doi.org/10.1177/0894845315578903
30.
KimB.RheeE.HaG.YangJ.LeeS. M. (2016). Tolerance of uncertainty: Links to happenstance, career decision-self efficacy, and career satisfaction. The Career Development Quarterly, 64(2), 140–152. https://doi.org/10.1002/cdq.12047
31.
KimS. R.KimB.YangN.YaungH.LeeS. M. (2017). Longitudinal changes of planned happenstance skills by gender, community types, and employment status in a sample of college students in school-to-work transition. Journal of Employment Counseling, 54(4), 183–191. https://doi.org/10.1002/joec.12066
LeeJ. H.ChoS.LeeS.EumW. J.JangH.SuhS.LeeS. M. (2017). Initial validation of the Planned Happenstance Career Inventory–English version. The Career Development Quarterly, 65(4), 366–378. https://doi.org/10.1002/cdq.12114
34.
LeeS. H.WehmeyerM. L.ShogrenK. A. (2015). Effect of instruction with the self-determined learning model of instruction on students with disabilities: A meta-analysis. Education and Training in Autism and Developmental Disabilities, 50(2), 237–247. https://www.jstor.org/stable/24827538
35.
LopezF. G.Ann-YiS. (2006). Predictors of career indecision in three racial/ethnic groups of college women. Journal of Career Development, 33(1), 29–46. https://doi.org/10.1177/0894845306287341
36.
LuzzoD. A.HitchingsW. E.RetishP.ShoemakerA. (1999). Evaluating differences in college students’ career decision making on the basis of disability Status. The Career Development Quarterly, 48(2), 142–156. https://doi.org/10.1002/j.2161-0045.1999.tb00281.x
37.
LuzzoD. A.McWhirterE. H. (2001). Sex and ethnic differences in the perception of educational and career-related barriers and levels of coping efficacy. Journal of Counseling & Development, 79(1), 61. https://doi.org/10.1002/j.1556-6676.2001.tb01944.x
38.
MaxwellS. E.DelaneyH. (2004). Designing experiments and analyzing data: A model comparison perspective (2nd ed.). Psychology Press.
39.
MitchellK. E.LevinS.KrumboltzJ. D. (1999). Planned happenstance: Constructing unexpected career opportunities. Journal of Counseling & Development, 77(2), 115–124. https://doi.org/10.1002/j.1556-6676.1999.tb02431.x
O’BrienK. M.FassingerR. E. (1993). A causal model of the career orientation and career choice of adolescent women. Journal of Counseling Psychology, 40(4), 456–469. https://doi.org/10.1037/0022-0167.40.4.456
42.
PunchR.CreedP. A.HydeM. B. (2006). Career barriers perceived by hard-of-hearing adolescents: Implications for practice from a mixed-methods study. Journal of Deaf Studies and Deaf Education, 11(2), 224–237. https://doi.org/10.1093/deafed/enj023
43.
RheeE.LeeB. H.KimB.HaG.LeeS. M. (2016). The relationship among the six vocational identity statuses and five dimensions of planned happenstance career skills. Journal of Career Development, 43(4), 368–378. https://doi.org/10.1177/0894845315602120
44.
RojewskiJ. W. (1999). The role of chance in the career development of individuals with learning disabilities. Learning Disability Quarterly, 22(4), 267–278. https://doi.org/10.2307/1511261
45.
SampsonJ. P.PetersonG. W.LenzJ. G.ReardonR. C.SaundersD. E. (1996). Career Thoughts Inventory: Professional manual. Psychological Assessment Resources.
46.
ShogrenK. A.WehmeyerM. L.ShawL. A.GrigalM.HartD.SmithF. A.KhamsiS. (2018). Predictors of self-determination in postsecondary education for students with intellectual and developmental disabilities. Education and Training in Autism and Developmental Disabilities, 53(2), 146–159. https://www.jstor.org/stable/26495266
47.
SkinnerM. E. (2004). College students with learning disabilities speak out: What it takes to be successful in postsecondary education. Journal of Postsecondary Education and Disability, 17(2), 91–104. https://files.eric.ed.gov/fulltext/EJ876005.pdf
WattsL. L.FrameM. C.MoffettR. G.HeinJ. L. V.HeinM. (2015). The relationship between gender, perceived career barriers, and occupational aspirations. Journal of Applied Social Psychology, 45(1), 10–22. https://doi.org/10.1111/jasp.12271
51.
WehmeyerM. L. (1996). Self-determination as an educational outcome: Why is it important to children, youth and adults with disabilities? In SandsD. J.WehmeyerM. L. (Eds.), Self-determination across the life span: Independence and choice for people with disabilities (pp. 15–34). Paul H. Brookes.
52.
YangN.YaungH.NohH.JangS. H.LeeB. (2017). The change of planned happenstance skills and its association with career-related variables during school-to-work transition. International Journal for Educational and Vocational Guidance, 17(1), 19–38. https://doi.org/10.1007/s10775-016-9332-z
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