The current study examined a moderated mediation model of future time perspective (FTP; valence and connectedness) related to career construction with career adaptability as a mediator and hope as a moderator among 472 Chinese vocational school adolescents. Regression analysis revealed career adaptability partially mediated the relation from valence to career construction and fully mediated the relationship from connectedness to career construction. Furthermore, hope significantly moderated the mediation model, both mediating effects were more salient at the low level of hope, and the relations of valence and connectedness to career adaptability were stronger at the low level of hope. The result confirmed the motivational role of FTP as adaptivity in career construction model of adaptation. Implications about FTP and hope in career construction are discussed.
AikenL. S.WestS. G.RenoR. R. (1991). Multiple regression: Testing and interpreting interactions. Sage.
2.
AndreL.PeetsmaT. T.van VianenA. E.in de WalJ. J.PetrovićD. S.BunjevacT. (2019). Motivated by future and challenges: A cross-cultural study on adolescents’ investment in learning and career planning. Journal of Vocational Behavior, 110, 168–185. https://doi.org/10.1016/j.jvb.2018.11.015
3.
AtanásioP.PaixãoM. P.da SilvaJ. T. (2013). The influence of future time perspective in career decision-making: The mediating role of work hope. In OrtuñoV.CordeiroP. (Eds.), International studies in time perspective (pp. 183–191). Coimbra University Press.
CritesJ. O. (1978). Theory and research handbook for the career maturity inventory. CTB/McGraw-Hill.
6.
De VolderM. L.LensW. (1982). Academic achievement and future time perspective as a cognitive-motivational concept. Journal of Personality and Social Psychology, 42(3), 566–571. https://doi.org/10.1037/0022-3514.42.3.566
7.
GinevraM. C.AnnovazziC.SantilliS.Di MaggioI.CamussiE. (2018). Breadth of vocational interests: The role of career adaptability and future orientation. The Career Development Quarterly, 66(3), 233–245. https://doi.org/10.1002/cdq.12145
8.
GinevraM. C.PalliniS.VecchioG. M.NotaL.SoresiS. (2016). Future orientation and attitudes mediate career adaptability and decidedness. Journal of Vocational Behavior, 95, 102–110. https://doi.org/10.1016/j.jvb.2016.08.003
9.
GuanY.ZhuangM.CaiZ.DingY.WangY.HuangZ.LaiX. (2017). Modeling dynamics in career construction: Reciprocal relationship between future work self and career exploration. Journal of Vocational Behavior, 101, 21–31. https://doi.org/10.1016/j.jvb.2017.04.003
10.
HairJ. F.BlackW. C.BabinB. J. (2010). Anderson. RE, 2010. Multivariate data analysis. Pearson Prentice Hall.
11.
HayesA. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.
HirschiA. (2014). Hope as a resource for self-directed career management: Investigating mediating effects on proactive career behaviors and life and job satisfaction. Journal of Happiness Studies, 15(6), 1495–1512. https://doi.org/10.1007/s10902-013-9488-x
14.
HirschiA.AbessoloM.FroidevauxA. (2015). Hope as a resource for career exploration: Examining incremental and cross-lagged effects. Journal of Vocational Behavior, 86, 38–47. https://doi.org/10.1016/j.jvb.2014.10.006
15.
HirschiA.FreundP. A.HerrmannA. (2014). The Career Engagement Scale: Development and validation of a measure of proactive career behaviors. Journal of Career Assessment, 22, 575–594. https://doi.org/10.1177%2F1069072713514813
16.
HouZ. J.LeungS. A.LiX.LiX.XuH. (2012). Career Adapt-Abilities Scale-China form: Construction and initial validation. Journal of Vocational Behavior, 80, 686–691. http://dx.doi.org/10.1016/j.jvb.2012.01.006
17.
HuL. T.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
18.
HusmanJ.BremS. K.BanegasS.DuchrowD. W.HaqueS. (2015). Learning and future time perspective: The promise of the future–rewarding in the present. In StolarskiM.FieulaineN.van BeekW. (Eds.), Time perspective theory: Review, research and application: Essays in honor of Philip G. Zimbardo (pp. 131–141). Springer International.
19.
HusmanJ.HilpertJ. C.BremS. K. (2016). Future time perspective connectedness to a career: The contextual effects of classroom knowledge building. Psychologica Belgica, 56(3), 210–225. https://doi.org/10.5334/pb.282
HusmanJ.ShellD. F. (2008). Beliefs and perceptions about the future: A measurement of future time perspective. Learning and Individual Differences, 18(2), 166–175. https://doi.org/10.1016/j.lindif.2007.08.001
22.
JaneiroI. N. (2010). Motivational dynamics in the development of career attitudes among adolescents. Journal of Vocational Behavior, 76(2), 170–177. https://doi.org/10.1016/j.jvb.2009.12.003
23.
JungH.ParkI. J.RieJ. (2015). Future time perspective and career decisions: The moderating effects of affect spin. Journal of Vocational Behavior, 89, 46–55. https://doi.org/10.1016/j.jvb.2015.04.010
24.
KooijD. T.KanferR.BettsM.RudolphC. W. (2018). Future time perspective: A systematic review and meta-analysis. Journal of Applied Psychology, 103(8), 867–893. https://doi.org/10.1037/apl0000306
25.
LittleT. D.CunninghamW. A.ShaharG.WidamanK. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9(2), 151–173. https://doi.org/10.1207/S15328007SEM0902_1
26.
MarkoK. W.SavickasM. L. (1998). Effectiveness of a career time perspective intervention. Journal of Vocational Behavior, 52(1), 106–119. https://doi.org/10.1006/jvbe.1996.1566
27.
NilesS. G.AmundsonN. E.NeaultR. A. (2011). Career flow: A hope-centered approach to career development. Pearson.
28.
PeetsmaT.Van der VeenI. (2015). Influencing young adolescents’ motivation in the lowest level of secondary education. Educational Review, 67(1), 97–120. https://doi.org/10.1080/00131911.2013.830593
29.
PeteranetzM. S.FlaniganA. E.ShellD. F.SohL. K. (2018). Career aspirations, perceived instrumentality, and achievement in undergraduate computer science courses. Contemporary Educational Psychology, 53, 27–44. https://doi.org/10.1016/j.cedpsych.2018.01.006
30.
PreacherK. J.HayesA. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
31.
RochaM.GuimarãesM. I. (2012). Adaptation and psychometric properties of the student career construction inventory for a Portuguese sample: Formative and reflective constructs. Psychological Reports, 111(3), 845–869. https://doi.org/10.2466/03.10.11.PR0.111.6.845-869
32.
RudolphC. W.LavigneK. N.ZacherH. (2017). Career adaptability: A meta-analysis of relationships with measures of adaptivity, adapting responses, and adaptation results. Journal of Vocational Behavior, 98, 17–34. https://doi.org/10.1016/j.jvb.2016.09.002
33.
SavickasM. L. (2002). Career construction: A developmental theory of vocational behavior. In BrownD. (Ed.), Career choice and development (4th ed., pp. 149–205). John Wiley & Sons.
34.
SavickasM. L. (2008). Life-design international research group: Career adaptability project [Unpublished manuscript]. Meeting in Berlin, July 19, 2009, at the Humboldt University (Report on Framework and Followup Studies), Berlin, Germany. NEOMED.
35.
SavickasM. L. (2013). Career construction theory and practice. In LentR. W.BrownS. D. (Eds.), Career development and counseling: Putting theory and research to work (2nd ed., pp. 148–183). John Wiley & Sons.
36.
SavickasM. L.PorfeliE. J. (2012). Career adapt-abilities scale: Construction, reliability, and measurement equivalence across 13 countries. Journal of Vocational Behavior, 80(3), 661–673. https://doi.org/10.1016/j.jvb.2012.01.011
37.
SavickasM. L.PorfeliE. J.HiltonT. L.SavickasS. (2018). The student career construction inventory. Journal of Vocational Behavior, 106, 138–152. https://doi.org/10.1016/j.jvb.2018.01.009
38.
SavickasM. L.SillingS. M.SchwartzS. (1984). Time perspective in vocational maturity and career decision making. Journal of Vocational Behavior, 25(3), 258–269. https://doi.org/10.1016/0001-8791(84)90049-6
39.
SchlomerG. L.BaumanS.CardN. A. (2010). Best practices for missing data management in counseling psychology. Journal of Counseling psychology, 57(1), 1–10. https://doi.org/10.1037/a0018082
40.
ShellD. F.HusmanJ. (2001). The multivariate dimensionality of personal control and future time perspective beliefs in achievement and self-regulation. Contemporary Educational Psychology, 26(4), 481–506. https://doi.org/10.1006/ceps.2000.1073
41.
ShellD. F.HusmanJ. (2008). Control, motivation, affect, and strategic self-regulation in the college classroom: A multidimensional phenomenon. Journal of Educational Psychology, 100(2), 443–459. https://doi.org/10.1037/0022-0663.100.2.443
42.
ShepardB.MarshallA. (1999). Possible selves mapping: Life-career exploration with young adolescents. Canadian Journal of Counselling, 33(1), 37–54. https://files.eric.ed.gov/fulltext/EJ587281.pdf
43.
SimonsJ.VansteenkisteM.LensW.LacanteM. (2004). Placing motivation and future time perspective theory in a temporal perspective. Educational Psychology Review, 16(2), 121–139. https://doi.org/10.1023/B:EDPR.0000026609.94841.2f
44.
SuperD. E. (1974). Vocational maturity theory. In SuperD. E. (Ed.), Measuring vocational maturity for counseling and evaluation (pp. 9–24). National Vocational Guidance Association.
45.
SnyderC. R. (2002). Hope theory: Rainbows in the mind. Psychological Inquiry, 13(4), 249–275. https://doi.org/10.2307/1448867
46.
SnyderC. R.HarrisC.AndersonJ. R.HolleranS. A.IrvingL. M.SigmonS. T.YoshinobuL.GibbJ.LangelleC.HarneyP. (1991). The will and the ways: Development and validation of an individual-differences measure of hope. Journal of Personality and Social Psychology, 60(4), 570.
47.
TaberB. J. (2013). Time perspective and career decision-making difficulties in adults. Journal of Career Assessment, 21(2), 200–209. https://doi.org/10.1177/1069072712466722
48.
TaberB. J.BlankemeyerM. S. (2015). Time perspective and vocational identity statuses of emerging adults. Career Development Quarterly, 63(2), 113–125. https://doi.org/10.1002/cdq.12008
49.
Van CalsterK.LensW.NuttinJ. R. (1987). Affective attitude toward the personal future: Impact on motivation in high school boys. The American Journal of Psychology, 100(1), 1–13. https://doi.org/10.2307/1422639
50.
WalkerT.TraceyT. (2012). The role of future time perspective in career decision-making. Journal of Vocational Behavior, 81(2), 150–158. https://doi.org/10.1016/j.jvb.2012.06.002
51.
WangD. N.HouZ. J.LiuY. L.ZhaoN.ChenC.LiY. P.LinL. (2016). Revision of student career construction inventory. Chinese Journal of Clinical Psychology, 24(1), 100–128. https://doi.org/10.16128/j.cnki.1005-3611.2016.01.023
52.
WatsonD.ClarkL. A.TellegenA. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063
53.
ZacherH. (2014). Individual difference predictors of change in career adaptability over time. Journal of Vocational Behavior, 84(2), 188–198. https://doi.org/10.1016/j.jvb.2014.01.001
54.
ZimbardoP. G.BoydJ. N. (1999). Putting time in perspective: A valid, reliable individual differences metric. Journal of Personality and Social Psychology, 6(77), 1271–1288. https://doi.org/10.1037//0022-3514.77.6.1271
