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Correlates and Issues of Academic Course-Selection in Post-Secondary Education in India: Evidence from National Sample Survey, 2007-08

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DOI: 10.4236/oalib.1100415    1,056 Downloads   1,603 Views   Citations


Background: With the rising educational unemployment in India, one can recognize the possibility of certain imbalance in the acquirement of tertiary education and the requirement of workforce in India. An assessment of youth’s selection of their post-secondary courses could provide a layout for the effective planning of higher education with respect to the demand of workforce in the country. This study examines a set of individual/household, institutional, and regional factors influencing the selection of academic courses in post-secondary level education in India among the population aged 29 years and younger. Methods and Findings: The study is based on the information collected by the 64th round of National Sample Survey (NSS) on “Participation and Expenditure in Education” in India during July 2007-June 2008. Using multivariate multinomial logistic regression model, the study shows that more than half of the total population aged ≤ 29 years were likely to opt for Arts/Humanities courses while controlling for selected potential factors at their mean. However, approximately one in every five students had chance to opt for Science courses, and nearly 13% and 12% students were likely to choose Commerce and Technical/Professional/Vocational (TPV) courses respectively. The selection of academic courses was significantly different by a set of individual/household factors. The study also recommends ways to deal with the imbalance in course-selection based on research studies undertaken elsewhere. Conclusion: The major individual, household and institutional factors were found significant determinants of the choice of subject-course at post-secondary level in India, which can be persuaded to make a balance between the job-market requirements and the trained workforce in order to make plans for the use of available human resource effectively as a bonus.

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The authors declare no conflicts of interest.

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Kumar, C. , Singh, S. and Nauriyal, D. (2014) Correlates and Issues of Academic Course-Selection in Post-Secondary Education in India: Evidence from National Sample Survey, 2007-08. Open Access Library Journal, 1, 1-22. doi: 10.4236/oalib.1100415.


[1] Altbach, P.G., Reisberg, L. and Rumbley, L.E. (2009) Trends in Global Higher Education: Tracking an Academic Revolution. UNESCO 2009 World Conference on Higher Education, Paris, 5-8 July 2009.
[2] NSSO (2008) Employment and Unemployment Situation in India, 2005-06. NSS Report No. 522. National Sample Survey Organisation, Ministry of Statistics and Programme Implementation, Government of India, New Delhi.
[3] Mavi, A.K. (2007) Educated Unemloyed: Problem, Policy, and Measures to Generate Employment. Deep & Deep Publications Pvt. Ltd., New Delhi.
[4] Dukkipati, U. (2010) Higher Education in India: Sustaining Long-Term Growth? South Asia Monitor (141). Center for Strategic & International Studies, South Asia Program, Washington DC.
[5] Shahani, S. (2011) Educated but Unemployed, India’s Young Women Suffer Silently. World Pulse, 29 March 2011.
[6] Srinivasan, R. (2012) Higher Your Education, Harder It Is Getting a Job. The Times of India, 18 July 2012.
[7] TOI (The Times of India) (2007) Arts Grads Top List of Educated Unemployed. The Times of India, 11 March 2007.
[8] Shukla, R. (2005) India Science Report: Science Education, Human Resources and Public Attitude towards Science and Technology. National Council of Applied Economic Research.
[9] The Guardian (2012) Graduate Employment: By Skill, Subject and Graduation. The Guardian, 6 March 2012.
[10] Kalmijn, M. and Van der Lippe, T. (1997) Type of Schooling and Sex Differences in Earnings in the Netherlands. European Sociological Review, 13, 1-15.
[11] Marini, M.M. and Fan, P.L. (1997) The Gender Gap in Earnings at Career Entry. American Sociological Review, 62, 588-604.
[12] Van de Werfhorst, H.G. and Kraaykamp, G. (2001) Four Field-Related Educational Resources and Their Impact on Labor, Consumption, and Sociopolitical Orientation. Sociology of Education, 74, 296-317.
[13] Nilsson, I. and Ekehammar, B. (1986) Sociopolitical Ideology and Field of Study. Educational Studies, 12, 37-46.
[14] Crotty, W.J. (1967) Democratic Consensual Norms and the College Student. Sociology of Education, 40, 200-218.
[15] Hossler, D., Braxton, J. and Coopersmith, G. (1989) Understanding Student College Choice. Higher Education: Handbook of Theory and Research, 5, 231-288.
[16] Chapman, D.W. (1981) A Model of Student College Choice. Journal of Higher Education, 52, 490-505.
[17] Grace, J.D. (1989) A Personal Decision. Currents, 15, 55-57.
[18] James, R., Baldwin, G. and McInnis, C. (1999) Which University? The Factors Influencing Choices of Prospective Undergraduates, Evaluation and Investigations Programme. Higher Education Division, Australia.
[19] Dixon, P.N. and Martin, N.K. (1991) Measuring Factors that Influence College Choice. NASPA Journal, 29, 31-36.
[20] Martin, N.K. and Dixon, P.N. (1991) Factors Influencing Students’ College Choice. Journal of College Student Development, 32, 253-257.
[21] Weiler, W.C. (1994) Transition from Consideration of a College to the Decision to Apply. Research in Higher Education, 35, 631-646.
[22] Hearn, J. (1984) The Relative Roles of Academic Ascribed and Socioeconomic Characteristics in College Destinations. Sociology of Education, 57, 22-30.
[23] Jackson, G. (1978) Financial Aid and Student Enrollment. Journal of Higher Education, 49, 548-574.
[24] Tierney, M.L. (1983) Student College Choice Sets: Toward an Empirical Characterization. Research in Higher Education, 18, 271-284.
[25] Somers, P., Haines, K., Keene, B., Bauer, J., Pfeiffer, M., McCluskey, J., Settle, J. and Sparks, B. (2006) Toward a Theory of Choice for Community College Students. Community College Journal of Research and Practice, 30, 53-67.
[26] Hossler, D., Schmit, J. and Vesper, N. (1999) Going to College: How Social, Economic, and Educational Factors Influence the Decisions Students Make. Johns Hopkins Press, Baltimore.
[27] Jackson, G. (1982) Public Efficiency and Private Choice in Higher Education. Educational Evaluation and Policy Analysis, 4, 237-247.
[28] Angell, C., Henriksen, E.K. and Isnes, A. (2003) Hvorfor laere fysikk? Det kan andre ta seg av! Fysikkfaget i norsk utdanning: Innhold-oppfatninger-valg [Why Learn Physics? Others Can Take Care of That! Physics in Norwegian Education: Content-Perceptions-Choices]. In: Jorde, D. and Bungum, B., Eds., Naturfagdidaktikk. Perspektiver, forskning, utvikling [Science Education. Perspectives, Research and Development], Gyldendal Akademisk, Oslo, 165-198.
[29] Lindahl, B. (2003) Lust att lära naturvetenskap ock teknik? En longitudinell studie om vägen till gymnasiet [A Desire to Learn Science and Technology? A Longitudinal Study of Pathways to Upper Secondary School]. Unpublished Doctoral thesis, Göteborg Studies in Educational Sciences, Göteborg.
[30] Ramberg, I. (2006) Realfag eller ikke? Elevers motivasjon for valg og bortvalg av realfag i videregående opplaering. NIFU STEP, Oslo.
[31] Sjödin, U. (2001) Ungdomskultur ock naturvetenskap. Perspektiv från kulturvetenskaplig ungdomsforskning på NOT-projektets målsättning [Youth Culture and Science. Perspectives from Social Sciences and Youth Research on the Aims of the NOT-Project]. Publisher, Stockholm.
[32] IRIS (2009) IRIS-Interest and Recruitment in Science: Factors Influencing Recruitment, Retention and Gender Equity in Science, Technology and Mathematics Higher Education. A Collaborative Project: Science in Society. Seventh Framework Programme.
[33] Cerini, B., Murray, I. and Reiss, M.J. (2003) Student Review of the Science Curriculum. Major Findings. Planet Science, Institute of Education, Science Museum, University of London, London.
[34] Kjørnsli, M. and Lie, S. (2000) Kjønnsforskjeller i realfag: Hva kan TIMSS fortelleø [Gender Differences in Science and Mathematics Education: What Can TIMSS Tell Us?]. In: Imsen, G., Ed., Kjønn og likestilling i grunnskolen [Sex and Equity in Primary and Lower Secondary School]. Gyldendal Akademisk, Oslo.
[35] Osborne, J. and Collins, S. (2000) Pupils’ and Parents’ Views of the School Science Curriculum. Wellcome Trust, King’s College London, London.
[36] Osborne, J. and Collins, S. (2001) Pupils’ Views of the Role and Value of the Science Curriculum: A Focus-Group Study. International Journal of Science Education, 23, 441-467.
[37] Scantlebury, K. and Baker, D. (2007) Gender Issues in Science Education Research: Remembering Where the Difference Lies. In: Abell, S.K. and Lederman, N.G., Eds., Handbook of Research on Science Education, Routledge, Abingdon.
[38] Schreiner, C. (2006) Exploring a ROSE-Garden: Norwegian Youth’s Orientations towards Science-Seen as Signs of Late Modern Identities. Based on ROSE (The Relevance of Science Education), a Comparative Study of 15 Year Old Students’ Perceptions of Science and Science Education. Unpublished Doctoral thesis, University of Oslo, Oslo.
[39] Brown, M., Brown, P. and Bibby, T. (2008) “I Would Rather Die”: Reasons Given by 16-Year-Olds for Not Continuing Their Study of Mathematics. Research in Mathematics Education, 10, 3-18.
[40] Matthews, A. and Pepper, D. (2007) Evaluation of Participation in GCE Mathematics. Qualifications and Curriculum Authority, London.
[41] Mendick, H. (2006) Masculinities in Mathematics. Open University Press, Buckingham.
[42] Johnson, S.E. (1999) Gender, Identity and Academic Subject Choice at School and University. Unpublished Ph.D. Thesis, Queen’s University of Belfast, Belfast.
[43] Jarman, R., McAleese, L. and McConnell, B. (1997) A Survey of Science at Key Stage 4. The Queen’s University of Belfast, Belfast.
[44] Bewick, V. and Southern, J. (1997) Factors Influencing Students’ Choice of Mathematics at A-Level. Teaching Mathematics and Its Applications, 16, 74-78.
[45] Gallagher, A., McEwen, A. and Knipe, D. (1996) Girls and A Level Science 1985 to 1995. Equal Opportunities Commission for Northern Ireland, Belfast.
[46] Kjaernsli, M., Lie, S., Olsen, R.V. and Roe, A. (2007) TId for tunge løft. Norske elevers kompetanse i naturfag, lesing og matematikk i PISA 2006. Universitetsforlaget, Oslo.
[47] Häussler, P. and Hoffmann, L. (2000) A Curricular Frame for Physics Education: Development, Comparison with Students’ Interests, and Impact on Students’ Achievement and Self-Concept. Science Education, 84, 689-705.<689::AID-SCE1>3.0.CO;2-L
[48] Bandura, A., Barbaranelli, C., Caprara, G.V. and Pastorelli, C. (2001) Self-Efficacy Beliefs as Shapers of Children’s Aspirations and Career Trajectories. Child Development, 72, 187-206.
[49] Galotti, K.M. and Mark, M.C. (1994) How Do High School Students Structure an Important Life Decision? A Short-Term Longitudinal Study of the College Decision-Making Process. Research in Higher Education, 35, 589-607.
[50] Brown, R.C., Hernandez, M.Y., Mitchell, T.D. and Turner, C.R. (1999) Factors Influencing Student College Choice between In-State and Out-of-State Students. Journal of the Indiana University Student Personnel Association.
[51] Hanson, K. and Litten, L. (1982) Mapping the Road to Academia: A Review of Research on Women, Men, and the College Selection Process. In: Perun, N.P., Ed., The Undergraduate Woman, Issues in Education, Lexington, Lexington.
[52] Spielhofer, T., O’Donnell, L., Benton, T., Schagen, S. and Schagen, I. (2002) The Impact of School Size and Single-Sex Education on Performance. National Foundation for Education Research, London.
[53] Croxford, L. (1994) Equal Opportunities in the Secondary-School Curriculum in Scotland, 1977-91. British Educational Research Journal, 20, 371-391.
[54] Vidal Rodeiro, C.L. (2007) A Level Subject Choice in England: Patterns of Uptake and Factors Affecting Subject Preferences. Cambridge Assessment, Cambridge.
[55] Sharp, C., Hutchison, D., Davis, C. and Keys, W. (1996) The Take-Up of Advanced Mathematics and Science Courses. Schools Curriculum and Assessment Authority, London.
[56] Cheng, Y., Payne, J. and Witherspoon, S. (1995) Science and Mathematics in Full Time Education after 16: The England and Wales Youth Cohort Study. Department for Education and Employment, London.
[57] Farnsworth, V. and Davis, P. (2008) Addressing Economic Inequality through Financial Capability Education: Is there Evidence of Empowerment? American Educational Research Association (AERA) Conference, New York, 24-28 March 2008.
[58] van Dijk, T.A. (1998) Ideology: A Multidisciplinary Approach. Sage Publications, London.
[59] Hossler, D. and Gallagher, K. (1987) Studying Student College Choice: A Three-Phase Model and the Implications for Policymakers. College and University, 62, 207-221.
[60] St. John, E.P. (1990) Price Response in Enrollment Decisions: An Analysis of the High School and beyond Sophomore Cohort. Research in Higher Education, 31, 161-176.
[61] St. John, E.P. (1991) The Impact of Student Financial Aid: A Review of Recent Research. Journal of Student Financial Aid, 21, 18-32.
[62] St. John, E.P. and Starkey, J.B. (1995) An Alternative to Net Price: Assessing the Influence of Prices and Subsidies on Within-Year Persistence. Journal of Higher Education, 66, 156-186.
[63] Hayes, T. (1989) How Student Choose a College: A Qualitative Approach. Journal of Marketing for Higher Education, 2, 19-28.
[64] Joseph, M. and Joseph, B. (2000) Indonesian Students’ Perceptions of Choice Criteria in the Selection of a Tertiary Institution: Strategic Implications. International Journal of Educational Management, 14, 40-44.
[65] Mazzarol, T. and Soutar, G. (2002) Push-Pull Factors Influencing International Students Destination Choice. International Journal of Educational Management, 16, 82-90.
[66] Water, D., Abrahamson, T. and Lyons, K. (2009) High-Achieving Seniors and the College Decision, Lipman Hearne Key Insights.
[67] Lee, S.J. and Chatfield, H.K. (n.d.) The Analysis of Factors Affecting Choice of College: A Case Study of UNLV Hotel College Students.
[68] Niu, S.X. and Tienda, M. (2008) Choosing College: Identifying and Modeling Choice Sets. Social Science Research, 37, 416-433.
[69] NSSO (2010) Education in India, 2007-08: Participation and Expenditure. NSS Report No. 532. National Sample Survey Office, National Statistical Organisation, Ministry of Statistics and Programme Implementation, Government of India, New Delhi.
[70] Chitnis, S. (1997) Definition of the Terms Scheduled Castes and Scheduled Tribes: A Crisis of Ambivalence. In: Panandiker, V.A.P., Ed., The Politics of Backwardness: Reservation Policy in India, Centre for Policy Research, New Delhi.
[71] Deaton, A. and Dreze, J. (2002) Poverty and Inequality in India: A Re-Examination. Economic and Political Weekly, 37, 3729-3748.
[72] Murthy, K.N. (2001) Effects of Changes in Household Size, Consumer Taste and Preferences on Demand Pattern in India. Working Paper No. 72, Center for Development Economics, Delhi School of Economics, Delhi.
[73] Bhagat, R.B. (2005) Rural-Urban Classification and Municipal Governance in India. Singapore Journal of Tropical Geography, 26, 61-73.
[74] IIPS, Macro International (2007) National Family Health Survey India, 2005-06 NFHS-3. International Institute for Population Sciences, Mumbai.
[75] Rao, J.N.K. and Scott, A.J. (1984) On Chi-Square Tests for Multiway Contingency Tables with Cell Proportions Estimated from Survey Data. Annals of Statistics, 12, 46-60.
[76] Warner, R.M. (2008) Applied Statistics: From Bivariate through Multivariate Techniques. Sage Publications, California.
[77] Chan, Y.H. (2005) Biostatistics 305. Multinomial Logistic Regression. Singapore Medical Journal, 46, 259-268.
[78] Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. Wiley & Sons, New York.
[79] Retherford, R.D. and Choe, M.K. (1993) Statistical Models for Causal Analysis. John Wiley and Sons, New York.
[80] Statacorp (2007) Stata Statistical Software: Release 10. Statacorp LP, College Station, TX.
[81] Pollard, E., Jagger, N., Perryman, S., Van Gent, M. and Mann, K. (2003) Ready, SET Go: A Review of SET Study and Career Choices (Technical Report). Engineering Technology Board, London.
[82] Murphy, P. and Whitelegg, E. (2006) Girls in the Physics Classroom: A Review of the Research on the Participation of Girls in Physics (Technical Report). Institute of Physics, London.
[83] Tripney, J., Newman, M., Bangpan, M., Niza, C., MacKintosh, M. and Sinclair, J. (2010) Factors Influencing Young People (Aged 14-19) in Education about STEM Subject Choices: A Systematic Review of the UK Literature. Evidence for Policy and Practice Information and Co-Ordinating Centre, Institute of Education, University of London, London.
[84] Osborne, J., Simon, S. and Collins, S. (2003) Attitudes towards Science: A Review of the Literature and Its Implications. International Journal of Science Education, 25, 1049-1079.
[85] Gorard, S. (2008) The Impact of SES on Participation and Attainment in Science: A Review of Existing Literature. In: The Royal Society, Ed., Exploring the Relationship between Socioeconomic Status and Participation and Attainment in Science Education, The Royal Society, London.
[86] Warrington, M. and Younger, M. (2000) The Other Side of the Gender Gap. Gender and Education, 12, 493-508.
[87] Filmer, D., King, E. and Pritchett, L. (1998) Gender Disparity in South Asia, Comparisons between and within Countries. World Bank Policy Research Working Paper No. 1867, place of publication.
[88] Alderman, H. and King, E.M. (1998) Gender Differences in Parental Investment in Education. Structural Change and Economic Dynamics, 9, 453-468.
[89] Clarke, D., Shimizu, Y., Ulep, S.A., Gallos, F.L., Sethole, G., Adler, J. and Vithal, R. (2006) Cultural Diversity and the Learner’s Perspective: Attending to Voice and Context. In: Leung, F.K., Graf, K.D. and Lopez, F.J., Eds., Mathematics Education in Different Cultural Traditions—A Comparative Study of East Asia and the West, Springer, New York, 353-380.
[90] Van de Werfhorst, H.G., De Graaf, N.D. and Kraaykamp, G. (2001) Intergenerational Resemblance of Field of Study in the Netherlands. European Sociological Review, 17, 275-293.
[91] Dryler, H. (1998) Parental Role Models, Gender, and Educational Choice. British Journal of Sociology, 49, 375-398.
[92] Davies, S. and Guppy, N. (1997) Fields of Study, College Selectivity, and Student Inequalities in Higher Education. Social Forces, 75, 1417-1438.
[93] Hansen, M.N. (1997) Social and Economic Inequality in the Educational Career: Do the Effects of Social Background Characteristics Decline? European Sociological Review, 13, 305-321.
[94] Van de Werfhorst, H.G., Sullivan, A. and Cheung, S.Y. (2003) Social Class, Ability and Choice of Subject in Secondary and Tertiary Education in Britain. British Educational Research Journal, 29, 41-62.
[95] Welch, A. (2007) Cultural Difference and Identity. In: Connell, R., Campbell, C., Vickers, M., Welch, A., Foley, D. and Bagnall, N., Eds., Education, Change and Society, Oxford University Press, Melbourne, 155-187.
[96] Cao, Z.J., Bishop, A.J. and Forgasz, H. (2006) Perceived Parental Influence on Mathematics Learning: A Comparsion among Students in China and Australia. Educational Studies in Mathematics, 64, 85-106.
[97] McPhan, G., Morony, W., Pegg, J., Cooksey, R. and Lynch, T. (2008) Maths? Why Not? Department of Education, Employment and Workplace Relations, Canberra.
[98] Bardell, G. (1982) Options for the Fourth: The Report of an Explanatory Study in Ten Schools. Schools Council, London.
[99] Kelsall, R.K., Poole, A. and Kuhn, A. (1972) Graduates: The Sociology of an Elite. Methuen, London.
[100] Boudon, R. (1974) Education, Opportunity and Social Inequality. Wiley, New York.
[101] Becker, G. (1975) Human Capital. Chicago University Press, Chicago.
[102] Bratti, M. (2006) Social Class and Undergraduate Degree Subject in the UK. IZA Discussion Paper No. 1979, The Institute for the Study of Labor, Bonn.
[103] Bedard, K. and Dhuey, E. (2006) The Persistence of Early Childhood Maturity: International Evidence of Long-Run Age Effects. Quarterly Journal of Economics, 121, 1437-1472.
[104] Currie, J. (2001) Early Childhood Education Programs. Journal of Economic Perspectives, 15, 213-238.
[105] Angrist, J.D. and Krueger, A.B. (1992) The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples. Journal of the American Statistical Association, 87, 328-336.
[106] GoI (2009) Annual Report 2008-09. Ministry of Labour and Employment, Government of India, New Delhi.
[107] Roberts, G. (2002) SET for Success. The Supply of People with Science, Technology, Engineering and Mathematics Skills. HM Treasury, London.
[108] Smith, A. (2004) Making Mathematics Count. The Report of Professor Adrian Smith’s Inquiry into Post-14 Mathematics Education. HMSO, London.
[109] Atweh, B., Taylor, S. and Singh, P. (2005) School Curriculum as Cultural Commodity in the Construction of Young People’s Post-School Aspirations. In: Proceedings Australian Association for Research in Education, University of Western Sydney, Parramatta.
[110] Knight, B. (2004) Vocational Learning in Schools as an Equity Strategy. In: Bowman, K., Ed., Equity in Vocational Education and Training: Research Readings, NCVER, Adelaide, 194-205.
[111] Polesel, J., Helme, S., Davies, M., Teese, R., Nicholas, T. and Vickers, M. (2004) VET in Schools. A Post-Compulsory Education Perspective. NCVER, Adelaide.
[112] Patton, W. and McCrindle, A. (2001) Senior Students’ Views on Career Information: What Was the Most Useful and What Would They Like? Australian Journal of Career Development, 10, 32-36.
[113] Whiteley, S. and Neil, C. (2000) Queensland Year 12 Experiences of Access to Information about Post School Options: Are There Equity Issues? Tertiary Entrance Procedures Authority.
[114] Singh, A. (1999) Educational Imbalance in India: Transition from School to College. Economic and Political Weekly, 34, 1675-1679.

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