Alderman, H. and P. Gartler, 1997. Family resources and gender differences in human capital investment: The demand for children’s medical-care in Pakistan. In Haddad, L., J. Hoddinott and H. Alderman (Eds). International resource allocation in developing countries: Models, methods and policy. Baltimore: John Hopkin Univeristy Press.
Arnold, F., M.K. Choe and T.K. Roy, 1998. Son preference, the family-building process and child mortality in India. Population Studies, 52(3): 301-315.
Arnold, F., S. Kishor and T.K. Roy, 2002. Sex-selective abortions in India. Population and Development Review, 28(4): 1-28.
Aturupane, H., A.B. Deolalikar and D. Gunewardena, 2008. The determinants of child weight and height in Sri Lanka: A qualitative regression approach. Research Paper No. 2008/53. UNU-WIDER.
Basu, A.M., 1993. How pervasive are sex differentials in childhood nutritional levels in South Asia?. Social Biology, 40(1-2): 25-37.
Biswas, S.C., M.A. Darda and M.F. Aslam, 2001. Factors affecting childhood immunization in Bangladesh. Pakistan Development Review, 40(1): 57-70.
Bourne, P.A., 2009. Childhood health in Jamaica: Changing patterns in health conditions of children 0-14 years. North American Journal of Medical Science, 1(4): 160-168.
Chen, L.A.K., M.A. Chowdhury and S.L. Huffman, 1980. Anthropometric assessment of energy-protein malnutrition and subsequent risk of mortality among pre-school aged children. American Journal of Clinical Nutrition, 33(8): 1836-1845.
Choudhury, K.K., M.A. Hanifi, S. Rasheed and A. Bhuiya, 2000. Gender inequality and severe malnutrition among children in a remote rural area of Bangladesh. Journal of Health, Population and Nutrition, 18(3): 123-130.
Christiansen, L. and H. Alderman, 2004. Child malnutrition in Ethiopia: Can maternal knowledge augment the role of income? Economic Development and Cultural Change, 52(2): 278-312.
DasGupta, M., 1987. Selective discrimination against female children in rural Punjab, India. Population and Development Review, 13(1): 77-100.
Garcia, M. and H. Alderman, 1989. Patterns and determinants of malnutrition in children in Pakistan: Impact of community health. Pakistan Development Review, 28(4): 891-902.
Giroux, S.C., 2008. Child stunting across schooling and fertility transitions: Evidence from Sub-Saharan Africa. Calverton, Maryland, USA: MACRO International.
Haddad, L., C. Pena, C. Nishida, A. Quisumging and A. Slack, 1996. Food security and nutrition implications of intrahousehold bias: A review of literature. FCND Discussion Paper No.9. Washington, D.C: International Food Policy Research Institute.
Hien, N.N. and N.N. Hoa, 2009. Nutritional status and determinants of malnutrition in children under three years of age in Nghean, Vietnam. Pakistan Journal of Nutrition, 8(7): 958-964.
Holmes, J., 2006. Do community factors have a differential impact on the health outcomes of boys and girls? Evidence from rural Pakistan. Health Policy Plan, 21(3): 231-240.
Khan, R.E.A., 2005. Gender discrimination in demand for child schooling. GCU Economics Journal, 37(1&2): 29-58.
Khan, R.E.A., 2005;2008. Gender discrimination in demand for child schooling. GCU Economics Journal, 37(1&2): 29-58.
Khan, R.E.A., 2008. Gender analysis of children activities in Pakistan. Pakistan Development Review, 47(2): 169-195.
Khan, R.E.A. and T. Azid, 2011. Malnutrition in primary school-age children: A case of urban and slum areas of Bahawalpur, Pakistan. International Journal of Social Economics, 38(9): 748-766.
Khan, R.E.A. and T. Khan, 2004. Economics of malnutrition in children. Journal of Educational Research, 7(1,2): 26-39.
King, E. and A. Mason, 2001. Engendering development through gender equality in rights, resources and voice. World Bank Policy Research Report. World Bank, Washington, D.C.
Kostermans, K., 1993. Assessing the quality of anthropometric data. Living standard measurement study No.101. Washington, D.C: World Bank.
Marcoux, A., 2002. Sex differentials in undernutrition: A look at survey evidence. Population and Development Review, 28(2): 275-284.
Mason, K.O., 1994. Conceptualizing and measuring women’s status. Paper Presented at Annual Meeting of the Population. Association of America, May 5-7.
Mbuya, M.N.N., M. Chidem, B. Chasekwa and V. Mishra, 2010. Biological, social, and environmental determinants of low birth-weight and stunting among infants and young children in Zimbabwe. Calverton, Maryland, USA: Zimbabwe Working Papers.
Mehrotra, S., 2006. Child malnutrition and gender discrimination in South Asia. Economic and Political Weekly, 61(10): 912-918.
Mian, R.M.A., M. Ali, P.A. Ferroni and P. Underwood, 2002. The nutritional status of school-aged children in an urban squatter settlement in Pakistan. Pakistan Journal of Nutrition, 1(3): 121-123.
Mishra, V., S. Lahiri and N.Y. Luther, 1999. Child nutrition in India. National family health survey subject reports No. 14. Mumbai: International Institute for Population Sciences; and Honolulu: East-West Center Program on Population.
Mishra, V., T.K. Roy and R.D. Retherford, 2004. Sex differential in childhood feeding, health-care and nutritional status in India. East-West Center Working Papers. Population and Health Series, Paper No.113. East-West Center, Hawaii.
Mondal, P.R., S. Biswas and K. Bose, 2012. Gender discrimination in undernutrition with mediating factors among bengalee school children from Eastern India. HOMO Journal of Comparative Human Biology, 63(2): 126-135.
Mosley, W.H., 1985. Biological and socioeconomic determinants of child survival. A Proximate Determinants Framework Integrating Fertility and Mortality Variables. In International Union for the Scientific Study of Population (IUSSP). International Population Conference, Florence. Paris: IUSSP, 2:190-208.
Mosley, W.H. and L.C. Chen, 1984. An analytical framework for the study of child survival in developing countries. Population and Development Review, 10(1): 25-45.
Mozumder, A.B., K. Barket-E, T.T. Kane, A. Levin and S. Ahmed, 2000. The effect of birth interval on malnutrition in Bangladesh: Infants and young children. Journal of Biosocial Sciences, 32(4): 289-300.
Muhuri, P.K. and S.H. Preston, 1991. Effects of family composition on mortality differentials by sex among children in matlab Bangladesh. Population and Development Review, 17(3): 415-434.
Mukherjee, R.M., L.C.S. Chaturveedi and C.R. Bhalwar, 2008. Determinants of nutritional status of school children. Malnutrition Military Journal of Armed Forces, India, 4(3): 227-231.
Mukuria, A., J. Cushing and J. Sangha, 2005. Nutritional status of children: Results from the demographic and health surveys 1994-2001. Calverton, Maryland, USA: ORC Macro.
Pande, R.P., 2003. Selective gender differences in childhood nutrition and immunization in rural India: The role of siblings. Demography, 40(3): 595-418.
Ravindaran, T.K.S. and U.S. Mishra, 2000. Health consequences of gender-based discrimination in childhood: A review of recent evidence. Paper Presented at the WHO Meeting on Gender Analysis for Health, Geneva, 28-30, June.
Sahn, D.E. and S.D. Younger, 2005. Improvements in children’s health: Does inequality matter. Journal of Economic Inequality, 3(2): 125-143.
Ukwuani, F.A. and C.M. Suchindran, 2003. Implications of women’s work for child nutritional status in Sub-Saharan Africa: A case study of Nigeria. Social Science & Medicine, 56(10): 2109-2121.
UNDP, 2000. Human development report 2000: Human rights and human development. Published for United Nations development program. New York: Oxford University Press.
Visaria, L. and P. Visaria, 1995. India’s population in ttransition. Population Bulletin, 50(3): 1-51.
Wamani, H., T. Tylleskar, A.N. Astrom, J.K. Tumwine and S. Peterson, 2004. Mothers’ education but not fathers education, household assets or land ownership is the best predictor of child health inequalities in rural Uganda. International Journal for Equity in Health, 3(1): 9.
World Bank, 2002. Pakistan poverty assessment. Poverty in Pakistan: Vulnerability, social gaps and rural dynamics. Report No. 2429. PAK. The World Bank, Washington, D.C.
World Bank, 2005. Pakistan country gender assessment report: Bridging the gap, opportunities and challenges. Report No. 32244-PAK. Environment and Social Development Sector Unit. South Asia Region. World Bank, Washington, D.C.
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(2015). Gender Analysis of Malnutrition: A Case Study of School-Going Children in Bahawalpur. Asian Development Policy Review, 3(2): 29-48. DOI: 10.18488/journal.107/2015.3.2/184.108.40.206
The literature confirmed the existence of gender discrimination in children?s health, nutrition and education in South Asia. This study examines, whether there are sex differences in stunting and wasting among schooling-going children (5-14 years) and how they are affected by socioeconomic factors. A sample of 684 school-going children of both sexes (376 male children and 308 female children) was selected randomly from different schools of both urban and rural areas of Bahawalpur. Weight and height were taken according to anthropometric measurements. The nutritional indices of World Health Organization (WHO) and the Center for Disease Control (CDC) were used as nutritional standards. The stunting and wasting rates were found 10.1 and 15.2 percent for males and 15.2 and 25 percent for female children respectively. The binary logistic regression for two indices of malnutrition, i.e. wasting and stunting were run separately for male children and female children to determine gender discrimination in nutritional status of children. The probability of being stunted and wasted by increase in age was found significantly lower for females as compared to male children. The male and female children of nuclear households have higher probability to be stunted and wasted respectively but the effect has been found more severe for female children. Mother?s education emerged as one of the most important variables which decrease the probability of stunting for both male and female children. The effect is found more favorable for male as compared to female children. Household income status and living condition index has shown no significant effect on probability of malnutrition of male and female children.
Educational Achievements of First and Subsequent Generation Learners in East Delhi/Ncr Region in India - A Comparative Study
Aluede, O., J. Imonikhe and J. Afen-Akpaida, 2007. Towards a conceptual basis for understanding developmental guidance and counseling model. Education, 128(2): 189-201.
Bhatnagar, S.K., 1984. Social stratification and the system of education-a study of social mobility in three generations in West Bengal, Ph.D. Soc., Cal. University.
Brooks, V., 2008. The role of external examinations in the making of secondary modern schools in England 1945-65. History of Education, 37(3): 447-467.
Brown, W. and W. Holtzman, 1955. A study attitudes questionnaire for predicting college success. Journal of Educational Psychology, 46(2): 45–84.
Diener, E., 1976. Effects of deindividuation variables on stealing among Halloween trick-or-treaters. Journal of Personality and Social Psychology, 33(2): 178-183.
Diener, E., 1984. Subjective well-being. Psychological Bulletin, 95(3): 542–575.
Dubule and Mrinal, 1989. Study habits of first generation learners. Journal of Indian Education.N.C.E.R.T. New Delhi, 15(1): 47-50.
Hampton, N.Z. and E. Mason, 2003. Learning disabilities, gender, sources of self efficacy, self-efficacy beliefs, and academic achievement in high school students. Journal of School Psychology, 41(2): 101–112.
Hsiang-Yeng, Y., 1991. The relationship of academic achievement to the variables of achievement motivation, study habits, intellectual development and junior college joint entrance examination scores among junior college students in the Republic of China. Dissertation Abstracts International, 52(31): 859.
Michael, W.B. and D.E. Reeder, 1952. The development and validation of a preliminary form of a study-habits inventory. Educational and Psychological Measurement, 12(2): 236–247.
Palsane and Sharma, 1989. Study habit inventory (PSSHI). National Psychological Corporation. 4/230, Kacheri Ghat, Agra (UP) India.
Sundaram, S.R., 1989. Urban, rural differences in academic achievement and ACH-motivation factors. J. Edu. Res. Extn, 28(2): 73-78.
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(2015). Educational Achievements of First and Subsequent Generation Learners in East Delhi/Ncr Region in India - A Comparative Study. Asian Development Policy Review, 3(2): 20-28. DOI: 10.18488/journal.107/2015.3.2/220.127.116.11
The present paper aims to find out the differences between study habits and the academic achievement of the rural and urban first generation learners and subsequent generation learners. For this study, 16 schools from East Delhi/ NCR have been selected based on the convenience sampling. From each school 20 students have been selected and out of which 10 are first generation learners and 10 are subsequent generation learners. The tool used in this paper was developed by Palsane and Sharma (1989) and named as Study Habit Inventory (SHI). The study found that there is a significant difference between study habits as well as the academic achievements of rural and urban first generation learners and subsequent generation learners. The result of this study has an implication for not only teachers, but also for students and parents. The teachers in the classroom are confronted with the development of potentialities and academic ability of students, which is totally dependent upon teacher efficiency.
The present study has an implication for teachers, students and parents. The teachers in the classroom are confronted with the development of potentialities and the academic ability of students, which is totally dependent upon teacher efficiency. The teacher must develop high self esteem among students and also develop an attitude, belief and values that they will be able to achieve high in their life.One of the findings of this paper shows that the first generation learners have poor study habits and subsequent generation learners have good study habits. The first generation learners do not get any opportunity to learn from the elders in the family; hence they remain an unsupervised and unguided. The contribution of father’s educational background was more important than the intelligence of children to their academic achievement. So care should be taken by the parents of the first generation learners in the regard to study time, study materials, student involvement, and physical conditions, etc.