Skip to main content

Assessing Career Life Skills Self-efficacy of Students with Special Educational Needs: A Comparative Study in Hong Kong

  • Chapter
  • First Online:
Careers for Students with Special Educational Needs

Abstract

The psychological construct of self-efficacy plays a salient role in students’ pursuit of a career path. Career-related self-efficacy is strongly associated with life satisfaction and emotional well-being. Most of what is known about this construct has come from research with mainstream students in the West, and considerably less attention has focused on students with special educational needs. The limited knowledge we have of SEN students’ career-related self-efficacy may be due to lack of appropriate assessment instruments with sound psychometric properties that can be used across cultures. This chapter reports steps taken to validate such an instrument, the Career Development Self-Efficacy Inventory (CD-SEI), for assessing career life skills self-efficacy in SEN students. The authors describe the use of a short form of CD-SEI in Hong Kong with a sample of SEN students and a comparison group without special needs. Theoretical and practical implications of using this instrument to assess career life skills self-efficacy of SEN students are discussed in light of current career development theories.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Arbona C (2005) Promoting the career development and academic achievement of at-risk youth: college access programs. In: Brown SD, Lent RW (eds) Career development and counseling: Putting theory and research to work. Wiley, Hoboken, NJ, pp 525–550

    Google Scholar 

  • Audit Commission (2018) Audit Commission, the Government of the Hong Kong Special Administrative Region. Chapter three of Report No. 70 of the Director of Audit. Retrieved from https://www.aud.gov.hk/pdf_e/e70ch03.pdf

  • Bandura A (1977) Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev 84(2):191–215

    Article  Google Scholar 

  • Bandura A (1986) Fearful expectations and avoidant actions as coeffects of perceived self-inefficacy. Am Psychol 41(12):1389–1391

    Article  Google Scholar 

  • Bandura A (1989) Regulation of cognitive processes through perceived self-efficacy. Dev Psychol 25(5):729–735

    Article  Google Scholar 

  • Barrett P (2007) Structural equation modelling: adjudging model fit. Pers Individ Differ 42(5):815–824

    Article  Google Scholar 

  • Betz NE, Hackett G (1986) Applications of self-efficacy theory to understanding career choice behavior. J Soc Clin Psychol 4(3):279–289

    Article  Google Scholar 

  • Betz NE, Hackett G (2006) Career self-efficacy theory: back to the future. J Career Assess 14(1):3–11

    Article  Google Scholar 

  • Borgen FH, Betz NE (2008) Career self-efficacy and personality: linking career confidence and healthy personality. J Career Assess 16(1):22–43

    Article  Google Scholar 

  • Britner SL, Pajares F (2006) Sources of science self-efficacy beliefs of middle school students. J Res Sci Teach: Off J Natl Assoc Res Sci Teach 43(5):485–499

    Article  Google Scholar 

  • Brown SD (2015) On statistical wizardry, construct proliferation, and other challenges for our science. Couns Psychol 43(4):614–628

    Article  Google Scholar 

  • Byrne BM, Shavelson RJ, MuthĂ©n B (1989) Testing for the equivalence of factor covariance and mean structures: the issue of partial measurement invariance. Psychol Bull 105:456–466

    Article  Google Scholar 

  • Chen FF (2007) Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model 14:464–504. https://doi.org/10.1080/10705510701301834

    Article  Google Scholar 

  • Cheung GW, Rensvold RB (2002) Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Model 9:233–255. https://doi.org/10.1207/s15328007sem0902_5

    Article  Google Scholar 

  • Choi Y, Kim J, Kim S (2015) Career development and school success in adolescents: the role of career interventions. Career Dev Q 63(2):171–186

    Article  Google Scholar 

  • Cobb RB, Alwell M (2009) Transition planning/coordinating interventions for youth with disabilities: a systematic review. Career Dev Except Individ 32(2):70–81

    Article  Google Scholar 

  • Cummings R, Maddux CD, Casey J (2000) Individualized transition planning for students with learning disabilities. Career Dev Q 49(1):60–72

    Article  Google Scholar 

  • Di Fabio A, Kenny ME (2011) Promoting emotional intelligence and career decision making among Italian high school students. J Career Assess 19(1):21–34

    Article  Google Scholar 

  • Enders C (2010) Applied missing data analysis. Guilford, New York, NY

    Google Scholar 

  • Glessner K, Rockinson-Szapkiw AJ, Lopez ML (2017) “Yes, I Can”: testing an intervention to increase middle school students’ college and career self-efficacy. Career Dev Q 65(4):315–325

    Article  Google Scholar 

  • Gomez C (2015) Prepare students with hearing impairments for world of work. Disabil Compliance High Educ 20(6):9

    Article  Google Scholar 

  • Gysbers NC, Henderson P (2000) Developing and managing your school counseling program, 3rd edn. Am Couns Assoc, Alexandria, VA

    Google Scholar 

  • Hackett G, Betz NE (1981) A self-efficacy approach to the career development of women. J Vocat Behav 18(3):326–339

    Article  Google Scholar 

  • Hackett G, Betz NE (1995) Self-efficacy and career choice and development. Self-efficacy, adaptation, and adjustment. Springer, Boston, MA, pp 249–280

    Chapter  Google Scholar 

  • Hampton NZ, Mason E (2003) Learning disabilities, gender, sources of efficacy, self-efficacy beliefs, and academic achievement in high school students. J Sch Psychol 41(2):101–112

    Article  Google Scholar 

  • Hooper D, Coughlan J, MĂĽllen M (2008) Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Methods 6(1):53–60

    Google Scholar 

  • Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6:1–55

    Article  Google Scholar 

  • Hua CB (2002) Career self-efficacy of the student who is gifted/learning disabled: a case study. J Educ Gift 25(4):375–404

    Article  Google Scholar 

  • Langley A (2000) Emotional intelligence—a new evaluation for management development? Career Dev Int 5(3):177–183

    Article  Google Scholar 

  • Lapan RT, Turner SL (1997) Mapping vocational challenges (computer software)

    Google Scholar 

  • Lapan RT, Gysbers NC, Multon KD, Pike GR (1997) Developing guidance competency self-efficacy scales for high school and middle school students. Meas Eval Couns Dev 30(1):4–16

    Article  Google Scholar 

  • Lent RW (2005) A social cognitive view of career development and counseling. In: Brown SD, Lent RW (eds) Career development and counseling: putting theory and research to work. Wiley, Hoboken, NJ, pp 101–130

    Google Scholar 

  • Lent RW, Hackett G (1987) Career self-efficacy: empirical status and future directions. J Vocat Behav 30(3):347–382

    Article  Google Scholar 

  • Lent RW, Brown SD, Larkin KC (1986) Self-efficacy in the prediction of academic performance and perceived career options. J Couns Psychol 33(3):265–269

    Article  Google Scholar 

  • Lent RW, Brown SD, Hackett G (1996) Career development from a social cognitive perspective. In: Brown D, Brooks L et al (eds) Career choice and development, 3rd edn. Jossey-Bass, San Francisco, pp 373–421

    Google Scholar 

  • Lent RW, Ireland GW, Penn LT, Morris TR, Sappington R (2017) Sources of self-efficacy and outcome expectations for career exploration and decision-making: a test of the social cognitive model of career self-management. J Vocat Behav 99:107–117

    Article  Google Scholar 

  • Luzzo DA, Hitchings WE, Retish P, Shoemaker A (1999) Evaluating differences in college students’ career decision making on the basis of disability status. Career Dev Q 48(2):142–156

    Article  Google Scholar 

  • Marsh HW, Hau KT, Grayson D (2005) Goodness of fit evaluation in structural equation modeling. In: Maydeu-Olivares A, McArdle J (eds) Contemporary psychometrics: a festschrift for Roderick P. McDonald, Erlbaum, Mahwah, NJ, pp 275–340

    Google Scholar 

  • Maurer TJ (2001) Career-relevant learning and development, worker age, and beliefs about self-efficacy for development. J Manag 27(2):123–140

    Google Scholar 

  • MuthĂ©n LK, MuthĂ©n BO (1998–2017) Mplus user’s guide, 8th edn. MuthĂ©n & MuthĂ©n, Los Angeles, CA

    Google Scholar 

  • Nagy G, Köller O, Heckhausen J (2005) The transition from school to vocational education: avoiding worry does not pay. Zeitschrift fĂĽr Entwicklungspsychologie und Pädagogische Psychologie 37:156–167

    Google Scholar 

  • Niles SG, Harris-Bowlsbey J (2005) Career development interventions in the 21st century. Pearson/Merrill Prentice Hall, Upper Saddle River, NJ

    Google Scholar 

  • O’Brien KM, Dukstein RD, Jackson SL, Tomlinson MJ, Kamatuka NA (1999) Broadening career horizons for students in at-risk environments. Career Dev Q 47(3):215–229

    Article  Google Scholar 

  • Osipow SH (1987) Manual for the career decision scale. Psychological Assessment Resources, Odessa, FL

    Google Scholar 

  • Panagos RJ, DuBois DL (1999) Career self-efficacy development and students with learning disabilities. Learn Disabil Res Pract 14(1):25–34

    Article  Google Scholar 

  • Patton W, McMahon M (2014) Career development and systems theory: connecting theory and practice, vol 2. Springer, Berlin, German

    Book  Google Scholar 

  • Rojewski JW (2005) Occupational aspirations: constructs, meanings, and application. In: Brown SD, Lent RW (eds) Career development and counseling: putting theory and research to work. Wiley, Hoboken, NJ, pp 131–154

    Google Scholar 

  • Rojewski JW, Lee IH, Gregg N, Gemici S (2012) Development patterns of occupational aspirations in adolescents with high-incidence disabilities. Except Child 78:157–179

    Article  Google Scholar 

  • Schermelleh-Engel K, Moosbrugger H, MĂĽller H (2003) Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods Psychol Res 8(2):23–74

    Google Scholar 

  • Sin KF, Yang L (2018) Post-school transition of students with special educational needs in Hong Kong. In: Pavlova M, Lee JK, Maclean R (eds) Transitions to post-school life. Springer, Singapore, pp 183–195

    Google Scholar 

  • Steenkamp JEM, Baumgartner H (1998) Assessing measurement invariance in cross-national consumer research. J Consum Res 25:78–90

    Article  Google Scholar 

  • Steger MF (2006) An illustration of issues in factor extraction and identification of dimensionality in psychological assessment data. J Pers Assess 86(3):263–272

    Article  Google Scholar 

  • Talapatra D, Roach AT, Varjas K, Houchins DE, Crimmins DB (2019) Transition services for students with intellectual disabilities: school psychologists’ perceptions. Psychol Sch 56(1):56–78

    Article  Google Scholar 

  • Taylor KM, Betz NE (1983) Applications of self-efficacy theory to the understanding and treatment of career indecision. J Vocat Behav 22(1):63–81

    Article  Google Scholar 

  • Turner S, Lapan RT (2002) Career self-efficacy and perceptions of parent support in adolescent career development. Career Dev Q 51(1):44–55

    Article  Google Scholar 

  • United Nations Educational, Scientific and Cultural Organisation (1994) The Salamanca statement and framework for action on special needs education. Retrieved from http://unesdoc.unesco.org/images/0009/000984/098427eo.pdf

  • Vasalampi K, Salmela-Aro K, Nurmi J-E (2009) Adolescents’ self-concordance, school engagement, and burnout predict their educational trajectories. Eur Psychol 14:332–341

    Article  Google Scholar 

  • Westwood P (2009) What teachers need to know about students with disabilities. Australian Council for Educational Research, Melbourne, Australia

    Google Scholar 

  • The Government of the Hong Kong Special Administrative Region (date if possible) Report No. 70 of the Direct of Audit. Retrieved from https://www.aud.gov.hk/pdf_e/e70ch03.pdf

  • Yang L, Sin KF, Cheng SY, Gao FZ (2015) Developing a short form of career development self-efficacy inventory (SF-CD-SEI) for students with special educational needs. Hong Kong J Spec Educ 17:28–39

    Google Scholar 

  • Yuen M, Gysbers NC, Chan RM, Lau PS, Leung TK, Hui EK, Shea PM (2005) Developing a career development self-efficacy instrument for Chinese adolescents in Hong Kong. Int J Educ Vocat Guid 5(1):57–73

    Article  Google Scholar 

Download references

Acknowledgement

Preparation of this chapter was partially supported by Early Career Scheme funded by University Grant Council, Hong Kong SAR to Dr. Yang Lan, The Education University of Hong Kong (Project number: 28611618).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lan Yang .

Editor information

Editors and Affiliations

Appendix

Appendix

SEN types and distribution in this study

SEN types

Frequency

Percentage

Specific learning difficulties

59

54.1

Intellectual disability

6

5.5

Autism spectrum disorders

9

8.3

Attention deficits and hyperactivity

1

0.9

Psychical disability

10

9.2

Visual impairment

1

0.9

Hearing impairment

1

0.9

Speech and language impairment

1

0.9

Emotional and behavioral disorder

2

1.8

Asperger syndrome

1

0.9

Total

91

83.5

  1. Note In this sample, there were 18 students (16.5%) with low-achievement background but had not yet been clearly identified with a specific SEN type

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Yang, L., Yuen, M., Wang, H., Wang, Z., Sin, K.F. (2020). Assessing Career Life Skills Self-efficacy of Students with Special Educational Needs: A Comparative Study in Hong Kong. In: Yuen, M., Beamish, W., Solberg, V.S.H. (eds) Careers for Students with Special Educational Needs. Advancing Inclusive and Special Education in the Asia-Pacific. Springer, Singapore. https://doi.org/10.1007/978-981-15-4443-9_21

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-4443-9_21

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4442-2

  • Online ISBN: 978-981-15-4443-9

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics