The aim of this study was to examine changes in gender-typed career interests and career-related gender stereotypes, as well as the bidirectional relationship between these factors, among 524 (61% girls) middle adolescents, aged 14 to 17 (M = 15.58, SD = 0.35), over three years. Data were collected through an online survey in schools, using the Personal Globe Inventory to assess gender-typed career interests and the Vocational Gender Stereotype Attitudes Scale to measure career-related gender stereotype endorsement. Results from Latent growth curve modelling (LGCM) indicated no significant mean changes in gender-typed career interests over time for both genders but did reveal significant differences in the developmental trajectories of gender-typed career interests among girls. Moreover, results revealed gender differences in baseline levels and developmental trajectories of gender stereotype endorsement, showing distinct temporal patterns for boys and girls. Results from multi-domain LGCM provided more evidence supporting the attitudinal pathway model, suggesting that career gender stereotypes influence career interests among girls over time, rather than the other way around. Our findings highlight the need for further exploration of the potential contributing factors that shape the interplay between career interests and gender stereotypes in boys and girls during middle adolescence.
AlfieriT.RubleD. N.HigginsE. T. (1996). Gender stereotypes during adolescence: Developmental changes and the transition to junior high school. Developmental Psychology, 32(6), 1129–1137. https://doi.org/10.1037/0012-1649.32.6.1129
2.
AmbadyN.ShihM.KimA.PittinskyT. L. (2001). Stereotype susceptibility in children: Effects of identity activation on quantitative performance. Psychological science, 12(5), 385–390. https://doi.org/10.1111/1467-9280.00371
3.
BabarovićT.BlaževM.ŠverkoI.TraceyT. J. G. (2023). Development of vocational gender stereotype attitudes scale (VGSA) for adolescents. British Journal of Guidance & Counselling, 51(4), 603–624. https://doi.org/10.1080/03069885.2023.2179596
4.
BaranovićB.JugovićI. (2011). Perceptions, experiences, and attitudes about gender (in)equality in education. In KamenovŽ.GalićB. (Eds.), Gender equality and discrimination in Croatia: A study of perceptions, experiences, and attitudes on gender discrimination in the republic of Croatia [Rodna ravnopravnost i diskriminacija u Hrvatskoj: Istraživanje percepcija, iskustava i stavova o rodnoj diskriminaciji u Republici Hrvatskoj] (pp. 143–164). Office for Gender Equality of the Government of the Republic of Croatia.
5.
BartiniM. (2006). Gender role flexibility in early adolescence: Developmental change in attitudes, self-perceptions, and behaviors. Sex Roles, 55(3–4), 233–245. https://doi.org/10.1007/s11199-006-9076-1
6.
BlagojevićA. (2023). Gender equality in the Republic of Croatia: Two steps forwards, one step back. In SpignoI.ScottiV. R.Penalva da SilvaJ. L. (Eds.), The rights of women in comparative constitutional law (pp. 17–34). Routledge.
7.
BlaževM.KarabegovićM.BurušićJ.SelimbegovićL. (2017). Predicting gender-STEM stereotyped beliefs among boys and girls from prior school achievement and interest in STEM school subjects. Social Psychology of Education, 20(4), 831–847. https://doi.org/10.1007/s11218-017-9397-7
CrouterA. C.WhitemanS. D.McHaleS. M.OsgoodD. W. (2007). Development of gender attitude traditionality across middle childhood and adolescence. Child Development, 78(3), 911–926. https://doi.org/10.1111/j.1467-8624.2007.01040.x
11.
CvencekD.BrečićR.GacesaD.MeltzoffA. N. (2021). Development of math attitudes and math self‐concepts: Gender differences, implicit–explicit dissociations, and relations to math achievement. Child Development, 92(5), e940–e956. https://doi.org/10.1111/cdev.13523
DickeA. L.SafavianN.EcclesJ. S. (2019). Traditional gender role beliefs and career attainment in STEM: A gendered story?Frontiers in Psychology, 10(1053), 1–14. https://doi.org/10.3389/fpsyg.2019.01053
14.
DiekmanA. B.BrownE. R.JohnstonA. M.ClarkE. K. (2010). Seeking congruity between goals and roles: A new look at why women opt out of science, technology, engineering, and mathematics careers. Psychological Science, 21(8). https://doi.org/10.1177/0956797610377342
15.
EaglyA. H.WoodW.DiekmanA. B. (2000). Social role theory of sex differences and similarities: A current appraisal. In EckesT.TrautnerH. M. (Eds.), The developmental social psychology of gender (pp. 123–174). Lawrence Erlbaum Associates Publishers. https://doi.org/10.4324/9781410605245-7
16.
FolbergA. M.ZhuM.HeY.RyanC. S. (2022). The primacy of nurturance and dominance/assertiveness: Unidimensional measures of the big two mask gender differences in subdimensions. International Review of Social Psychology, 35(1), 1–13. https://doi.org/10.5334/irsp.690
17.
Frohard-DourlentH.DobsonS.ClarkB. A.DoullM.SaewycE. M. (2017). I would have preferred more options’: Accounting for non-binary youth in health research. Nursing Inquiry, 24(1), Article e12150. https://doi.org/10.1111/nin.12150
18.
GadassiR.GatiI. (2009). The effect of gender stereotypes on explicit and implicit career preferences. The Counseling Psychologist, 37(6), 902–922. https://doi.org/10.1177/0011000009334093
19.
GalambosN. L.BerenbaumS. A.McHaleS. M. (2009). Gender development in adolescence. In LernerR. M.SteinbergL. (Eds.), Handbook of adolescent psychology, Volume 1: Individual bases of adolescent development (3rd ed., pp. 305–357). John Wiley & Sons.
20.
GfrörerT.StollG.RiegerS.TrautweinU.NagengastB. (2021). The development of vocational interests in early adolescence: Stability, change, and state-trait components. European Journal of Personality, 35(5), 089020702110356. https://doi.org/10.1177/08902070211035630
21.
GottfredsonL. S. (1981). Circumscription and compromise: A developmental theory of occupational aspirations. Journal of Counseling Psychology, 28(6), 545–579. https://doi.org/10.1037/0022-0167.28.6.545
22.
GrahamJ. W. (2012). Missing data: Analysis and design. Springer Science & Business Media.
23.
HillJ. P.LynchM. E. (1983). The intensification of gender-related role expectations during early adolescence. In Brooks-GunnJ.PetersenA. C. (Eds.), Girls at puberty: Biological and psychosocial perspectives (pp. 201–228). Springer. https://doi.org/10.1007/978-1-4899-0354-9_10
24.
HoffK. A.BrileyD. A.WeeC. J.RoundsJ. (2018). Normative changes in interests from adolescence to adulthood: A meta-analysis of longitudinal studies. Psychological Bulletin, 144(4), 426–451. https://doi.org/10.1037/bul0000140
25.
HoffK. A.ChuC.EinarsdóttirS.BrileyD. A.HannaA.RoundsJ. (2022). Adolescent vocational interests predict early career success: Two 12‐year longitudinal studies. Applied Psychology, 71(1), 49–75. https://doi.org/10.1111/apps.12311
26.
HoffK. A.SongQ.EinarsdóttirS.BrileyD. A.RoundsJ. (2020). Developmental structure of personality and interests: A four-wave, 8-year longitudinal study. Journal of Personality and Social Psychology, 118(5), 1044–1064. https://doi.org/10.1037/pspp0000228
27.
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
JugovićI. (2017). Students’ gender-related choices and achievement in physics. Center for Educational Policy Studies Journal, 7(2), 71–95. https://doi.org/10.26529/cepsj.170
30.
JugovićI.KamenovŽ. (2011). Gender (in)equality and discrimination in family relationships. In KamenovŽ.GalićB. (Eds.), Gender equality and discrimination in Croatia: A study of perceptions, experiences, and attitudes on gender discrimination in the Republic of Croatia [Rodna ravnopravnost i diskriminacija u Hrvatskoj: Istraživanje percepcija, iskustava i stavova o rodnoj diskriminaciji u Republici Hrvatskoj] (pp. 28–37). Office for Gender Equality of the Government of the Republic of Croatia.
31.
KamenovŽ. (2011). Attitudes, prejudices, and beliefs about the causes of gender discrimination. In KamenovŽ.GalićB. (Eds.), Gender equality and discrimination in Croatia: A study of perceptions, experiences, and attitudes on gender discrimination in the Republic of Croatia [Rodna ravnopravnost i diskriminacija u Hrvatskoj: Istraživanje percepcija, iskustava i stavova o rodnoj diskriminaciji u Republici Hrvatskoj] (pp. 92–111). Office for Gender Equality of the Government of the Republic of Croatia.
32.
KatzP. A.KsansnakK. R. (1994). Developmental aspects of gender role flexibility and traditionality in middle childhood and adolescence. Developmental Psychology, 30(2), 272–282. https://doi.org/10.1037/0012-1649.30.2.272
33.
KennyD. A.KaniskanB.McCoachD. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research, 44(3), 486–507. https://doi.org/10.1177/0049124114543236
34.
KohlbergL. A. (1966). A cognitive-developmental analysis of children’s sex role concepts and attitudes. In MaccobyE. E. (Ed.), The development of sex differences (pp. 82–173). Stanford University Press.
35.
LibenL. S.BiglerR. S. (2002). The developmental course of gender differentiation: Conceptualizing, measuring, and evaluating constructs and pathways. Monographs of the Society for Research in Child Development, 67(2), 1–183.
36.
LippaR. (1998). Gender-related individual differences and the structure of vocational interests: The importance of the people–things dimension. Journal of personality and social psychology, 74(4), 996–1009. https://doi.org/10.1037/0022-3514.74.4.996
37.
LittleT. D. (2013). Longitudinal structural equation modeling. Guilford Press.
38.
LiuM.HuW.JiannongS.AdeyP. (2010). Gender stereotyping and affective attitudes towards science in Chinese secondary school students. International Journal of Science Education, 32(3), 379–395. https://doi.org/10.1080/09500690802595847
39.
LowK. S.YoonM.RobertsB. W.RoundsJ. (2005). The stability of vocational interests from early adolescence to middle adulthood: A quantitative review of longitudinal studies. Psychological Bulletin, 131(5), 713–737. https://doi.org/10.1037/0033-2909.131.5.713
40.
LubinskiD. (2000). Scientific and social significance of assessing individual differences: “Sinking shafts at a few critical points”. Annual Review of Psychology, 51(1), 405–444. https://doi.org/10.1146/annurev.psych.51.1.405
41.
LudwikowskiW. M.ArmstrongP. I.LanninD. G. (2018). Explaining gender differences in interests: The roles of instrumentality and expressiveness. Journal of Career Assessment, 26(2), 240–257. https://doi.org/10.1177/1069072717692743
42.
MacDonaldK. B.BensonA.SakalukJ. K.SchermerJ. A. (2023). Pre-occupation: A meta-analysis and meta-regression of gender differences in adolescent vocational interests. Journal of Career Assessment, 31(4), 1–24. https://doi.org/10.1177/10690727221148717
43.
MarušićI. (2006). Motivation and school subjects: Gender differences among students in the context of expectancy-value theory. In BaranovićB. (Ed.), The National curriculum for compulsory education in Croatia – different perspectives [Nacionalni kurikulum za obvezno obrazovanje u Hrvatskoj – različite perspective] (pp. 214–252). Institute for Social Research in Zagreb, Center for Educational Research and Development.
44.
MasterA.MeltzoffA. N.CheryanS. (2021). Gender stereotypes about interests start early and cause gender disparities in computer science and engineering. Proceedings of the National Academy of Sciences of the United States of America, 118(48), Article e2100030118. https://doi.org/10.1073/pnas.2100030118
45.
McGuireL.MulveyK. L.GoffE.IrvinM. J.WinterbottomM.FieldsG. E.Hartstone-RoseA.RutlandA.RutlandA. (2020). STEM gender stereotypes from early childhood through adolescence at informal science centers. Journal of Applied Developmental Psychology, 67, Article 101109. https://doi.org/10.1016/j.appdev.2020.101109
46.
MillerC. F.LuryeL. E.ZosulsK. M.RubleD. N. (2009). Accessibility of gender stereotype domains: Developmental and gender differences in children. Sex Roles, 60(11–12), 870–881. https://doi.org/10.1007/s11199-009-9584-x
47.
MillerC. F.TrautnerH. M.RubleD. N. (2006). The role of gender stereotypes in children’s preferences and behavior. In BalterL.Tamis-LeMondaC. S. (Eds.), Child psychology: A handbook of contemporary issues (pp. 293–323). Psychology Press.
48.
MillerD. I.NollaK. M.EaglyA. H.UttalD. H. (2018). The development of children’s gender‐science stereotypes: A meta‐analysis of 5 decades of US draw‐a‐scientist studies. Child Development, 89(6), 1943–1955. https://doi.org/10.1111/cdev.13039
49.
MorinA. J. S.MarshH. W.NagengastB. (2013). Exploratory structural equation modeling. In HancockG. R.MuellerR. O. (Eds.), Structural equation modeling: A second course (pp. 395–436). IAP Information Age Publishing.
50.
NielsenM.HaunD.KärtnerJ.LegareC. H. (2017). The persistent sampling bias in developmental psychology: A call to action. Journal of Experimental Child Psychology, 162, 31–38. https://doi.org/10.1016/j.jecp.2017.04.017
51.
NosekB. A.BanajiM. R.GreenwaldA. G. (2002). Math = male, me = female, therefore math not = me. Journal of Personality and Social Psychology, 83(1), 44–59. https://doi.org/10.1037//0022‐3514.83.1.44
52.
PässlerK.HellB. (2020). Stability and change in vocational interests from late childhood to early adolescence. Journal of Vocational Behavior, 121, Article 103462. https://doi.org/10.1016/j.jvb.2020.103462
53.
R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
54.
RevelleW. (2023). psych: Procedures for psychological, psychometric, and personality research: Northwestern University. R package version 2.3.12. https://CRAN.R-project.org/package=psych
55.
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
56.
RubleD. N.MartinC. L.BerenbaumS. A. (2006). Gender development. In DamonW.LernerR. M.EisenbergN. (Vol. Ed.), Handbook of child psychology: Vol 3. Social, emotional, and personality development (6th ed., pp. 858–932). Wiley.
57.
SchoonI.ParsonsS. (2002). Teenage aspirations for future careers and occupational outcomes. Journal of Vocational Behavior, 60(2), 262–288. https://doi.org/10.1006/jvbe.2001.1867
58.
SelimbegovićL.KarabegovićM.BlaževM.BurušićJ. (2019). The independent contributions of gender stereotypes and gender identification in predicting primary school pupils’ expectancies of success in STEM fields. Psychology in the Schools, 56(10), 1614–1632. https://doi.org/10.1002/pits.22296
59.
SignorellaM. L.BiglerR. S.LibenL. S. (1993). Developmental differences in children’ s gender schemata about others: A meta-analytic review. Developmental Review, 13(2), 147–183. https://doi.org/10.1006/drev.1993.1007
60.
ŠimunovićM.BabarovićT. (2021). The role of parental socializing behaviors in two domains of student STEM career interest. Research in Science Education, 51(4), 1055–1071. https://doi.org/10.1007/s11165-020-09938-6
61.
SkinnerO. D.McHaleS. M. (2018). The development and correlates of gender role orientations in African‐American youth. Child Development, 89(5), 1704–1719. https://doi.org/10.1111/cdev.12828
62.
StarrC. R.GaoY.RubachC.LeeG.SafavianN.DickeA. L.EcclesJ. S.SimpkinsS. D.SimpkinsS. D. (2023). “Who’s better at math, boys or girls?”: Changes in adolescents’ math gender stereotypes and their motivational beliefs from early to late adolescence. Education Sciences, 13(9), 866. https://doi.org/10.3390/educsci13090866
63.
SuR.RoundsJ. (2015). All STEM fields are not created equal: People and things interests explain gender disparities across STEM fields. Frontiers in Psychology, 6, Article 189. https://doi.org/10.3389/fpsyg.2015.00189
64.
SuR.RoundsJ.ArmstrongP. I. (2009). Men and things, women and people: A meta-analysis of sex differences in interests. Psychological Bulletin, 135(6), 859–884. https://psycnet.apa.org/doi/10.1037/a0017364
ŠverkoI.BabarovićT. (2016). Integrating personality and career adaptability into vocational interest space. Journal of Vocational Behavior, 94, 89–103. https://doi.org/10.1016/j.jvb.2016.02.017
TraceyT. J. G.RobbinsS. B.HofsessC. D. (2005). Stability and change in interests: A longitudinal study of adolescents from grades 8 through 12. Journal of Vocational Behavior, 66(1), 1–25. https://doi.org/10.1016/j.jvb.2003.11.002
69.
TraceyT. J. G. (2002a). Development of interests and competency beliefs: A 1-year longitudinal study of fifth-to eighth-grade students using the ICA-R and structural equation modeling. Journal of Counseling Psychology, 49(2), 148–163. https://psycnet.apa.org/doi/10.1037/0022-0167.49.2.148
70.
TraceyT. J. G. (2002b). Personal Globe inventory: Measurement of the spherical model of interests and competence beliefs. Journal of Vocational Behavior, 60(1), 113–172. [Monograph]. https://doi.org/10.1006/jvbe.2001.1817
71.
TraceyT. J. G. (2010). Development of an abbreviated Personal Globe Inventory using item response theory: The PGI-short. Journal of Vocational Behavior, 76(1), 1–15. https://doi.org/10.1016/j.jvb.2009.06.007
72.
TrautnerH. M.RubleD. N.CyphersL.KirstenB.BehrendtR.HartmannP. (2005). Rigidity and flexibility of gender stereotypes in childhood: Developmental or differential?Infant and Child Development, 14(4), 365–381. https://doi.org/10.1002/icd.399
73.
UNESCO. (2017). A guide for ensuring inclusion and equity in education. United Nations Educational, Scientific and Cultural Organization. Retrieved from. https://unesdoc.unesco.org/ark:/48223/pf0000253479
74.
van der LakenP. (2023). corrtable: Creates and saves out a correlation table with significance levels indicated. R package version 0.1.1. https://CRAN.R-project.org/package=corrtable
75.
WeisgramE. S. (2016). The cognitive construction of gender stereotypes: Evidence for the dual pathways model of gender differentiation. Sex Roles, 75(7–8), 301–313. https://doi.org/10.1007/s11199-016-0624-z
76.
WigfieldA.EcclesJ. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. https://doi.org/10.1006/ceps.1999.1015
77.
WoodcockA.GrazianoW. G.BranchS. E.HabashiM. M.NgambekiI.EvangelouD. (2013). Person and thing orientations: Psychological correlates and predictive utility. Social Psychological and Personality Science, 4(1), 116–123. https://doi.org/10.1177/1948550612444320
