Artigo Acesso aberto Revisado por pares

Informative sources of math‐related self‐efficacy expectations and their relationship with math‐related self‐efficacy, interest, and preference

2005; Wiley; Volume: 40; Issue: 3 Linguagem: Inglês

10.1080/00207590444000249

ISSN

1464-066X

Autores

Ragıp Özyürek,

Tópico(s)

Education, Achievement, and Giftedness

Resumo

International Journal of PsychologyVolume 40, Issue 3 p. 145-156 Other Informative sources of math-related self-efficacy expectations and their relationship with math-related self-efficacy, interest, and preference Ragıp Özyürek, Corresponding Author Ragıp Özyürek Çukurova University, Adana, TurkeyCorrespondence should be addressed to Ragıp Özyürek Çukurova Üniversitesi, Eğitim Fakültesi Balcalı/Adana 01330, Turkey E-mail: [email protected]Search for more papers by this author Ragıp Özyürek, Corresponding Author Ragıp Özyürek Çukurova University, Adana, TurkeyCorrespondence should be addressed to Ragıp Özyürek Çukurova Üniversitesi, Eğitim Fakültesi Balcalı/Adana 01330, Turkey E-mail: [email protected]Search for more papers by this author First published: 04 January 2007 https://doi.org/10.1080/00207590444000249Citations: 16 The researcher is an assistant professor in the Department of Counselor Education at Çukurova University. I am grateful to Adnan Gümüş, Robert W. Lent, and two anonymous reviewers for their thoughtful comments on an earlier draft of this article. This study was supported by a grant from the Çukurova University Foundation. This paper was presented at the tenth annual Congress of the Turkish Psychological Counseling and Guidance Association organized by Middle East Technical University in Ankara, Turkey, in September 2001. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstracten In this study, by using the hypotheses of social-cognitive career theory (SCCT), the relationship between informative sources of math-related self-efficacy expectations and self-efficacy, interest, and math-weighted major preferences were investigated. The participants in this study were students (N = 590) from high schools in Southern Turkey. Participants completed measures of sources of math-related self-efficacy, self-efficacy, interest, and choice consideration related to math-weighted majors. While running analyses, sampling was split in half at random and psychometric analyses of the scales were run with the first half (n = 298); the second half (n = 292) was used to test the hypotheses. By doing this, the testing of hypotheses would not be affected by just one specific sampling characteristic. A structural equation model was tested and findings indicated general support for hypotheses that these sources predict self-efficacy beliefs and these beliefs also predict interest. However, contrary to SCCT's predictions, math-weighted major preferences are not predicted by math-related self-efficacy expectations and interest. In the Discussion, first, the reasons why the measurement of vicarious learning or modelling did not significantly predict self-efficacy expectations focus on the relationships between personal accomplishments and persuasion and reported physiological arousal and personal accomplishments. Some information is given as to how counsellors and math teachers can work collaboratively to raise perceptions about informative sources. Second, explanations are given about why self-efficacy and interest did not predict math-weighted preferences. It is mentioned that this could be the reason for the constrained and complex system of the university entrance exams and placement in Turkey. The importance of investigating environmental variables on SCCT in developing countries was emphasized. Suggestions are also given for further research. It is concluded that this theory should be tested in developing countries like Turkey. Abstractfr Dans cette étude, les hypothèses de la théorie professionnelle socio-cognitive (SCCT) furent utilisées pour examiner la relation entre les sources informatives des attentes d'efficacité personnelle reliée aux mathématiques et l'efficacité personnelle, l'intérêt et les préférences pour les orientations professionnelles à dominance mathématique. Les participants étaient des étudiants (N = 590) issus d'écoles secondaires du Sud de la Turquie. Ils ont complété des mesures sur les sources d'efficacité personnelle reliée aux mathématiques, sur l'efficacité personnelle, sur l'intérêt et sur les considérations de choix reliés aux orientations professionnelles à dominance mathématique. Lors de l'exécution des analyses, l'échantillon fut divisé aléatoirement en deux groupes. Des analyses psychométriques furent effectuées sur les échelles avec le premier groupe (n = 298); le second groupe (n = 292) fut utilisé pour tester les hypothèses. Cette procédure permettait de ne pas affecter les tests d'hypothèses par les caractéristiques d'un échantillonnage unique. Un modèle d'équations structurelles fut testé. De façon générale, les résultats appuient les hypothèses selon lesquelles les sources prédisent les croyances d'efficacité personnelle et, à leur tour, les croyances prédisent l'intérêt. Cependant, contrairement aux prédictions de la SCCT, les préférences pour les orientations professionnelles à dominance mathématique ne sont pas prédites par les attentes d'efficacité personnelle reliée aux mathématiques, ni par l'intérêt. La discussion se centre d'abord sur la raison expliquant pourquoi la mesure de l'apprentissage vicariant ou du modelage n'a pas permis de prédire de manière significativement les attentes d'efficacité personnelle, tout comme les relations entre, d'une part, les réalisations personnelles et la persuasion et, d'autre part, l'activation physiologique et les réalisations personnelles. Certaines informations sont présentées quant à la façon dont les conseillers et les professeurs de mathématiques peuvent travailler en collaboration pour améliorer les perceptions entretenues face aux sources informatives. En second lieu, des explications sont proposées relativement à l'inefficacité à prédire les préférences pour les orientations à dominance mathématique à partir de l'efficacité personnelle et de l'intérêt. Il est possible que ceci constitue une raison pour le système contraignant et complexe des examens d'entrée à l'université et du placement en Turquie. L'importance d'examiner les variables environnementales sur la SCCT dans les pays en développement fut mise de l'avant. Des suggestions sont également exposées pour les recherches futures. En conclusion, il est proposé que cette théorie soit testée dans les pays en développement, comme en Turquie. Abstractes En este estudio se investigó, por medio de las hipótesis de la teoría vocacional socio-cognitiva (SCCT), la relación entre las fuentes informativas de las expectativas de autoeficacia relativa a las matemáticas y la autoeficacia, el interés y las preferencias por eleccciones vocacionales orientadas a las matemáticas. Los participantes en este estudio fueron estudiantes (N = 590) de nivel secundaria en el sur de Turquía. Los participantes cumplimentaron medidas de las fuentes informativas de autoeficacia relativa a las matemáticas, autoeficacia, interés y consideración de eleccción vocacional orientada a las matemáticas. La muestra se dividió al azar en dos mitades y se realizaron análisis psicométricos de las escalas empleadas con una mitad (n = 298); se utilizó la segunda mitad (n = 292) para someter a prueba las hipótesis. De esa manera, las características específicas de la muestra no efectarían las hipótesis sometidas a prueba. Se sometió a prueba un modelo de ecuación esructural y los hallazgos apoyan en general las hipótesis de que las fuentes propuestas predicen las creencias de autoeficacia y que esas creencias predicen el interés. Sin embargo, contrario a las predicciones de la SCCT, las expectativas de autoeficacia relativa a las matemáticas y el interés no predicen las preferencias vocacionales hacia las matemáticas. La discusión se centró en la razón por la cual la medida de aprendizaje vicario o de modelamiento no predijo de manera significativa las expectativas de autoeficacia, también las relaciones entre logros personales y persuación, por un lado, y activación fisiológica y logros personales, por el otro. Se presenta alguna información acerca de la forma en la que los consejeros y los profesores de matemáticas pueden colaborar para promover las fuentes informativas. Segundo, se intenta explicar por qué la autoeficacia y el interés no predicen las preferencias hacia las matemáticas. Se menciona que ésta podría ser la razón detrás del sistema de exámenes de admisión y ubicación de alumnos en las universidades turcas. Se subraya la importancia de investigar las variables ambientales en la SCCT en países en desarrollo. También se presentan sugerencias para investigaciones futuras. Se concluye que esta teoría debe someterse a prueba en países en desarrollo, como lo es Turquía. REFERENCES 1Bandura, A. 1977. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84: 191–215. 2Bandura A. 1986 Social foundations of thought and action: A social cognitive theory Englewood Cliffs, NJ Prentice-Hall 3Bandura A. 1997 Self-efficacy. The exercise of control New York W. H. Freeman 4Baykul Y. 1997 İlköğretimde matematik öğretimi [Mathematics instruction in elementary schools] Ankara Anı Yayıncılık 5Betz, N.E. 1992. Counseling uses of career self-efficacy theory. The Career Development Quarterly, 41: 22–26. 6Betz, N.E. and Hackett, G. 1981. The relationship of career-related self-efficacy expectation to perceived career option in college women and men. Journal of Counseling Psychology, 28: 399–410. 7Bollen K.A. 1989 Structural equations with latent variables New York John Wiley 8Brown, S.T. and Lent, R.W. 1996. A social cognitive framework for career choice counseling. The Career Development Quarterly, 44: 354–366. 9Byrne B.M. 1998 Structural equation modeling with LISREL, PRELIS, and SIMPLES: Basic concepts, applications, and programming Hillsdale, NJ Lawrence Erlbaum Associates Inc. 10Donnay, A.C. and Borgen, F.H. 1999. The incremental validity of vocational self-efficacy: An examination of interest, self-efficacy, and occupation. Journal of Counseling Psychology, 46: 432–447. 11Fassinger, R.F. 1990. Causal models of career choice in two samples of college women. Journal of Vocational Behavior, 36: 225–248. 12Fouad, N.A. 1995. Career linking: An intervention to promote math and science career awareness. Journal of Counseling and Development, 73: 527–534. 13Fouad, N.A. and Smith, P.L. 1996. A test of a social cognitive model for middle school students: Math and science. Journal of Counseling Psychology, 43: 338–346. 14Fouad, N.A., Smith, P.L. and Enochs, L. 1997. Reliability and validity evidence for the middle school self-efficacy scale. Measurement and Evaluation in Counseling and Development, 30: 17–31. 15Fouad, N.A., Smith, P.L. and Zao, K.E. 2002. Across academic domains: Extensions of the social-cognitive career model. Journal of Counseling Psychology, 49: 164–171. 16Gainor, K.A. and Lent, R.W. 1998. Social cognitive expectations and racial identity attitudes in predicting the math choice intentions of black college students. Journal of Counseling Psychology, 45: 403–413. 17Hackett, G. 1985. Role of mathematics self-efficacy in the choice of math-related majors in college women and men: A path analysis. Journal of Counseling Psychology, 32: 47–56. 18Hackett, G. and Betz, N.E. 1981. A self-efficacy approach to the career development of women. Journal of Vocational Behavior, 18: 326–339. 19Hackett, G. and Betz, N.E. 1989. An exploration of the mathematics self-efficacy/mathematics performance correspondence. Journal of Research in Mathematics Education, 20: 261–273. 20Hoyle R.H. Panter A.T. Writing about structural equation models. 1995 In R. H. Hoyle (Ed.) Structural equation modeling: Concepts, issues, and application 76 100 London Sage 21Hu L. Bentler P.M. Evaluating model fit. 1995 In R. H. Hoyle (Ed.) Structural equation modeling: Concepts, issues, and application 76 100 London Sage 22Jöreskog K.G. Sörbom D. 1993 LISREL 8: Structural equation modeling with the SIMPLES command language Chicago, IL Scientific Software International 23Kepçeoğlu M. 1986 Psikolojik danışma ve rehberlik [Counseling and guidance] Ankara Torman Matbaacılık 24Kline R.B. 1998 Principles and practice of structural equation modeling New York Guilford Press 25Kuzgun Y. 1991 Rehberlik ve psikolojik danışma [Guidance and counseling] Ankara ÖSYM 26Lapan, R.T., Boggs, K.R. and Morrill, W.H. 1989. Self-efficacy as a mediator of investigative and realistic general occupational themes on the Strong-Campbell Interest Inventory. Journal of Counseling Psychology, 36: 176–182. 27Lapan, R.T., Shaughnessy, P. and Boggs, K. 1996. Efficacy expectations and vocational interests as mediators between sex and choice of math/science college majors: A longitudinal study. Journal of Vocational Behavior, 49: 277–291. 28Lent, R.W. and Brown, S.T. 1996. Social cognitive approach to career development: An overview. The Career Development Quarterly, 44: 310–320. 29Lent, R.W., Brown, S.D., Brenner, B., Chopra, S.B., Davis, T., Talleyrand, R. and Suthakaran, V. 2001. The role of contextual supports and barriers in the choice of math/science educational options: A test of social cognitive hypotheses. Journal of Counseling Psychology, 4: 474–483. 30Lent, R.W., Brown, S.D. and Hackett, G. 1994. Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45: 79–122. 31Lent R.W. Brown S.T. Hackett G. Career development from a social cognitive perspective. 1996a In D. Brown, L. Brooks & Associates (Eds.) Career choice and development ( 3rd ed.) 373 422 San Francisco Jossey-Bass 32Lent, R.W., Brown, S.D. and Hackett, G. 2000. Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counseling Psychology, 47: 36–49. 33Lent, R.W., Brown, S.D., Nota, L. and Soresi, S. 2003. Testing social cognitive interest and choice hypotheses across Holland types in Italian high school students. Journal of Vocational Behavior, 62: 101–118. 34Lent, R.W., Brown, S.D., Talleyrand, R., McPartland, E.B., Davis, T., Chopra, S.P., Alexander, M.S., Suthakaran, V. and Chai, C.M. 2002. Career choice barriers, supports, and coping strategies: College students' experiences. Journal of Vocational Behavior, 60: 61–72. 35Lent, R.W., Lopez, F.G., Brown, S.T. and Gore, P.A. Jr. 1996b. Latent structure of the sources of mathematics self-efficacy. Journal of Vocational Behavior, 49: 292–308. 36Lopez, F.G., Lent, R.W., Steven, S.D. and Gore, P.A. Jr. 1997. Role of social-cognitive expectations in high school student's mathematics-related interest and performance. Journal of Counseling Psychology, 44: 44–52. 37Luzzo, D.A., Hasper, P., Albert, K.A., Bibby, M.A. and Martinelli, E.A. Jr. 1999. Effects of self-efficacy-enhancing interventions on the math/science self-efficacy and career interests, goals, and actions of career undecided students. Journal of Counseling Psychology, 46: 233–243. 38Matsui, T., Ikeda, H. and Ohnishi, R. 1989. Relations of sex-typed socialization to career self-efficacy expectations of college students. Journal of Vocational Behavior, 35: 1–16. 39Matsui, T., Matsui, K. and Ohnishi, R. 1990. Mechanism underlying math self-efficacy learning of college students. Journal of Vocational Behavior, 37: 225–238. 40Nauata, M.M., Epperson, D.L. and Kahn, J.H. 1998. A multiple-groups analysis of predictors of higher level career aspirations among women in mathematics, science, and engineering majors. Journal of Counseling Psychology, 45: 483–496. 41O'Brien, K.M. and Fassinger, R.E. 1993. A causal model of the career orientation and career choice of adolescent women. Journal of Counseling Psychology, 40: 456–469. 42Özyürek R. 1995 Fen bilimleri alanını seçen öğrencilerin kariyer yetkinlik beklentisi ile kariyer seçenekleri zenginliği ve üniversiteye giriş sınavlarındaki performansları arasındaki ilişkiler [Relationships among career self-efficacy, considerations of career options and performances on university entrance examinations of students who choose the field of science] Unpublished dissertation, Institute of Social Science, Çukurova University, Turkey 43Özyürek, R. 2001. Global kariyer yetkinlik beklentisi ölçümü ve meslek danışmanlığı uygulamalarında kullanımı [Global career self-efficacy measurement and its practicing in career counseling]. Kuram ve Uygulamada Eğitim Yönetimi, 28: 557–571. 44Özyürek, R. 2002a. Global ve özgül yetkinlik beklentisi ölçümlerinin benzerlik ve farklılaştıkları konular ile meslek danışmanlığında kullanılmaları [Issues of global and specific self-efficacy measurements similarity and differences and their practice in career counseling]. Kuram ve Uygulamada Eğitim Yönetimi, 30: 253–270. 45Özyürek, R. 2002b. Liseli öğrenciler için matematik yetkinlik beklentisi bilgilendirici kaynaklar ölçeğinin geliştirilmesi: Ön calışma [Developing informative sources of math-related self-efficacy scale: A pilot study]. Kuram ve Uygulamada Eğitim Yönetimi, 32: 502–531. 46Özyürek R. 2003 Psychometric characteristics for measurement of information sources of math-related self-efficacy Unpublished report 47Pajares, F. and Kranzler, J. 1995. Self-efficacy beliefs and general mental ability in mathematical problem-solving. Contemporary Educational Psychology, 20: 426–443. 48Randhawa, B.S., Beamer, J.E. and Lundberg, I. 1993. Role of mathematics self-efficacy in the structural model of mathematics achievement. Journal of Educational Psychology, 85: 41–48. 49Smith, P.L. and Fouad, N.A. 1999. Subject-matter specificity of self-efficacy, outcome expectancies, interests, and goals: Implications for the social-cognitive model. Journal of Counseling Psychology, 46: 461–471. 50SSPC-2001 2001 Öğrenci seçme ve yerleştirme sistemi, yükseköğretim programları ve kontenjanları kılavuzu [2001 System of students selection and placement, guide of higher education and quota] 2001 Ankara ÖSYM 51Tang, M., Fouad, N.A. and Smith, P.L. 1999. Asian Americans' career choices: A path model to examine factors influencing their career choices. Journal of Vocational Behavior, 54: 142–157. 52Tracey, TJG and Hopkins, N. 2001. Correspondence of interest and abilities with occupational choice. Journal of Counseling Psychology, 48: 178–189. Citing Literature Volume40, Issue3June 2005Pages 145-156 ReferencesRelatedInformation

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