Open Access
Issue
E3S Web Conf.
Volume 319, 2021
International Congress on Health Vigilance (VIGISAN 2021)
Article Number 01008
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/202131901008
Published online 09 November 2021
  1. Acock, A. C. (2005). Working With Missing Values. Journal of Marriage and Family (67), 1012–1028. [CrossRef] [Google Scholar]
  2. Akee, R. K., Copeland, W., Keeler, G., Angold, A., & Costello, J. E. (2008). Parents’ Incomes and Children’s Outcomes:A quasi Expirement. IZA Discussion Paper (No. 3520), 1-22. [Google Scholar]
  3. Albright, J. J., & Marinova, D. M. (2010, July 14). Estimating multilevel models using SPSS, Stata, SAS, and R. [Google Scholar]
  4. Azina Ismail, N., & Awang, H. (2010). Analyzing the Relationship Between Self-Confidence in Mathematics and Students’ Characteristics Using Multinomial Logistic Regression. Malaya, Malaisie. [Google Scholar]
  5. Baltagi, B. H., Bresson, G., & Pirotte, A. (2012). A Robust Hausman–Taylor Estimator. Advances in Econometrics (29), 175–214. [CrossRef] [Google Scholar]
  6. Baumeister, R. F., Campbell, J. D., Krueger, J. I., & Vohs, K. D. (2003). Does High Self-Estime Cause Better Performance, Interpersonal Sucess, Hapiness, or Healthier Lifestyles? American Psychological Society , 4 (1). [Google Scholar]
  7. Baxter, J. (2002). How much does parental education explain educational attainment of males and females in Australia? Negotiating the Life Course Discussion Paper Series (DP-015). [Google Scholar]
  8. Becker, G. S. (1994). Human capital: A theoretical and empirical analysis, with special reference to education. Chicago, IL: University of Chicago Press. [Google Scholar]
  9. Berlinski, S., Galiani, S., & Manacorda, M. (2008). Giving children a better start: Preschool attendance and school-age profiles. Journal of Public Economics , 92, (5-6), 1416–1440. [CrossRef] [Google Scholar]
  10. Bouhlila, D. S., & Sellaouti, F. (2013). Multiple imputation using chained equations for missing data in TIMSS: a case study. Large-scale Assessments in Education , 1. [Google Scholar]
  11. Burkam, D. T., & Lee, V. (2002). Inequality at the Starting Gate: Social Background Differences in Achievement as Children Begin School. Economic Policy Institute . [Google Scholar]
  12. Caille, J. P. (2001). Scolarisation à 2 ans et réussite de la carrière scolaire au début de l’école élémentaire. Éducation et Formation (60 ), 7–18. [Google Scholar]
  13. Chetty, R., Friedman, J. N., Hilger, N., Saez, E., & Schanzenbach, D. W. (2010). How Does Your Kindergarten Classroom Affect Your Earnings? Evidence From Projet Star. National Bureau of Economic Research Working Paper (16381). [Google Scholar]
  14. Chevalier, A., Harmon, C., O’Sullivan, V., & Walker, I. (2005). The Impact of Parental Income and Education on the Schooling of Their Children. The Institute of Fiscal Studies (WP05/05), 1–28. [Google Scholar]
  15. Coleman, J. S., Hopkins, J., Campbell, E. Q., McPartland, J., Mood, A. M., Weinfeld, F. D., et al. (1966). Equality of Educational Opportunity. Washington DC.: National Center for Educational Statistics . [Google Scholar]
  16. Courgeau D. Et Baccaïni B. (1997), « Analyse multi-niveaux en sciences sociales », population, vol.4, pp.831–863. [Google Scholar]
  17. Commission Européenne . (2013). Récupéré sur Creative little scientists: Enabling creativity through science and mathematics in preschool and first years of primary education. : http://www.creative-little-scientists.eu/ [Google Scholar]
  18. Conseil Supérieur de l’Enseignement. (2011, Février). L’évaluation des apprentissages : essai de typologie. (C. S. l’Enseignement, Éd.) Cahiers de l’éducation et de la formation (4), pp. 6–19. [Google Scholar]
  19. Costello, E. J., & Copeland, W. (2010, January). Parents’ Incomes and Children’s Outcomes: A Quasi-Experiment. American Economic Journal, Applied Economics , 86–115. [Google Scholar]
  20. Davis-Kean, P. E. (2005). The Influence of Parent Education and Family Income on Child Achievement: The Indirect Role of Parental Expectations and the Home Environment. Journal of Family Psychology , 19 (2), 294 –304. [CrossRef] [PubMed] [Google Scholar]
  21. Duru-Bellat, M., Mons, N., & Suchaut, B. (2004). Caractéristiques des systèmes éducatifs et compétences des jeunes de 15 ans : L’éclairage des comparaisons entre pays. Cahier de l’IREDU, (66). Consulté à l’adresse https://hal.archives-ouvertes.fr/hal02054092/document [Google Scholar]
  22. Dufur, M. J., & Parcel, T. L. (2001). Capital at home and at school : Effects on child social adjustment. Journal of Marriage and the family , volume 63 (1), 32–47. [CrossRef] [Google Scholar]
  23. Ebbes, P., Bôckenholt, U., & Wedel, M. (2004). Regressor and random-effects dependencies in multilevel models. Statistica Neerlandica , 58 (2), 161–178. [CrossRef] [Google Scholar]
  24. El Andaloussi, K., & Faiq, M. (2008). La situation du préscolaire: Importance, diagnostic et concept pédagogique. Conseil Supérieur de l’Enseignement. [Google Scholar]
  25. Emler, N. (2002). Costs and Causes of Low Self-esteem. Youth Studies Australia , 21 (3), 45–48. [Google Scholar]
  26. Fagan, J. F., & DeDonno, M. A. (2013). The Influence of Family Attributes on College Students’ Academic Self-concept. North American Journal of Psychology , 15 (1), 49–62. [Google Scholar]
  27. Fan, X., Tai, R. H., & Maltese, A. V. (2012). When is Homework Worth the Time?: Evaluating the Association Between Homework and Achievement in High School Science and Math. The High School Journal , 96 (1), 52–72. [CrossRef] [Google Scholar]
  28. Finn, J. D., & Achilles, C. M. (1999). Tennessee’s Class Size Study: Findings, Implications, Misconceptions. Educational EVvaluation and Policy Analysis , 21 (2), 97–109. [CrossRef] [Google Scholar]
  29. Flashman, J. (2012, August). Academic Achievement and Its Impact on Friend Dynamics. Sociology of Education , 85 (1), pp. 61–80. [CrossRef] [PubMed] [Google Scholar]
  30. Fusaro, J. A. (1997). The Effect of Full-Day Kindergarten on Student Achievement: A Meta-Analysis. Child Study Journal, , 27 (4), 269–277. [Google Scholar]
  31. GERESE. (2005). L’équité des systèmes éducatifs européens: Un ensemble d’indicateurs. [Google Scholar]
  32. Grave, B. S. (2010). The Effect of Student Time Allocation on Academic Achievement. Ruhr Economic Papers (235), 1–28. [Google Scholar]
  33. Hægeland, T., Raaum, O., & Salvanes, K. G. (2005). Pupil Achievement, School Resources and Family Background. IZA; Discussion Paper Series (1459). [Google Scholar]
  34. Häkkinen, I., Kirjavainen, T., & Uusitalo, R. (2003). School resources and student achievement revisited: new evidence from panel data. Economics of Education Review (22), 329–335. [Google Scholar]
  35. Hanchane, S., Idiri, N., & Benbiga, A. (2012). Pourquoi les acquis des élèves marocains sont-ils faibles? Critiques Economiques . [Google Scholar]
  36. Heckman, J., & Carneiro, P. (2002). The Evidence on Credit Constraints in Post-Secondary Schooling. The Economic Journal (112), 705–734. [CrossRef] [Google Scholar]
  37. Henderson, D. J., & Eren, O. (2008, July). The Impact of Homework on Student Achievement. The Econometrics Journal , 11 (2), pp. 326–348. [Google Scholar]
  38. Heymans, M., & Twisk, J. (2012, 07 5). Handling Missing Data. [Google Scholar]
  39. Hidalgo-Hidalgo, M., & García-Pérez, J. I. (2013). On the Impact of Pre-School Attendance On Primary School Results. Dans IEA, Volume II: Spanish Report. [Google Scholar]
  40. Hoff, E. ( 2003). The Specificity of Environmental Influence: Socioeconomic Status Affects Early Vocabulary Development Via Maternal Speech. Child Development , 74 (5), 1368–1378. [CrossRef] [PubMed] [Google Scholar]
  41. Hox, J. J. (2002). Multilevel analysis: techniques and applications. (N. J. Mahwah, Éd.) Lawrence Erlbaum Associates. [CrossRef] [Google Scholar]
  42. Hoxby, C. M. (2000, August). Peer Effect in the Class Room: Learning From Gender and From Race Variation. NBER Working Paper (7867), pp. 1–54. [Google Scholar]
  43. Huesmann, R. L., Boxer, P., & Dubow, E. F. (2009). Long-term Effects of Parents’ Education on Children’s Educational and Occupational Success: Mediation by Family Interactions, Child Aggression, and Teenage Aspirations. (W. S. Press, Éd.) Merrill Palmer Q , 55 (3), 224–249. [Google Scholar]
  44. IEA. (s.d.). Consulté le juin 05, 2013, sur http://nces.ed.gov/timss/countries.asp [Google Scholar]
  45. Kim, Y., & Sherraden, M. (2010). Do Parental Assets Matter for Children’s Educational Attainment?: Evidence from Mediation Tests. CSD Working Papers (10-40), 1–23. [Google Scholar]
  46. Kingdon, G., & Altinok, N. (2012). New Evidence on Class Size Effects: A Pupil Fixed Effects Approach. Oxford Bulletin of Economics and Statistics , 74 (2), 203–234. [Google Scholar]
  47. Krueger, A. B. (2003). Economic Considerations and Class Size. The Economic Journal , 113 (485), F34–F63. [CrossRef] [Google Scholar]
  48. Li, W., Zeng, X., Wang, Y., Curtis, R., & Sparks, E. (2021). Does school matter for students’ self-esteem? Associations of family SES, peer SES, and school resources with Chinese students’ self-esteem. Research in Social Stratification and Mobility, 71, 100565.Lochner, L., & Belley, P. (2007, October ). The Changing Role of Family Income and Ability in Determining Educational Achievement. NBER Working Paper No. 13527 , 1–32. [CrossRef] [Google Scholar]
  49. Lochner, L., & Dahl, G. B. (2012). The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit. American Economic Review , 102 (5), 1927–1956. [CrossRef] [Google Scholar]
  50. Mayer, S. E. (2010). Revisiting an old question: How much does parental income affect child outcomes? Focus , 27 (2). [Google Scholar]
  51. McLanahan, S. S., & Astone, M. N. (1991). Family structure, parental practices and high school completion. American Sociological Review , 309–320. [Google Scholar]
  52. National Center of Educational Statistics . (1966). Equality of Educational Opportunity . Washington DC. [Google Scholar]
  53. Nechyba, T., McEwan, P., & Older-Aguilar, D. (1999). The Impact of Family and Community Ressource on Student Outcomes: An Assessment of the International Literature with Implication for New Zeland. (M. o. Zealand, Éd.) Contract Research , 3–159. [Google Scholar]
  54. StataCorp. (2011). STATA Multiple-Imputation Reference Manual Release 12. [Google Scholar]
  55. Summers, A. A., & Wolfe, B. L. (1975). Equality of Educational Opportunity Quantified: A Production Function Approach. Econometric Society Winter Meeting, (pp. 27-30). Philadelphia, PA. [Google Scholar]
  56. Teachman, J. D., Carver, K., & Paasch, K. (1996). Social Capital and Dropping Out of School Early. Journal of Marriage and Family , 58 (3), 773–783. [CrossRef] [Google Scholar]
  57. Temple, J. A., Reynolds, A. J., & Miedel, W. T. (2000 ). Can Early Intervention Prevent High School Dropout? Urban Education , 35 (1), 31–56. [Google Scholar]
  58. The National Center for Education Statistics (NCES). (2013). Progress in International Reading Literacy Study International Data Explorer Help Guide. [Google Scholar]
  59. The White House. (2013). The President’s plan for a strong middle class & a string America. Récupéré sur http://www.whitehouse.gov/sites/default/files/uploads/sotu_2013_blueprint.pdf [Google Scholar]
  60. Tissington, L. D., & Lacour, M. (2011, July). The effects of poverty on academic achievement. Educational Research and Reviews , Vol. 6 (7), pp. 522–527. [Google Scholar]
  61. Tissington, L. D., & Lacour, M. (2011). The Effects of Poverty on Academic Achievement. Educational Research and Reviews , 6 (7), 522–527. [Google Scholar]
  62. Ranjeeth, S., Latchoumi, T. P., & Paul, P. V. (2020). Role of gender on academic performance based on different parameters: Data from secondary school education. Data in brief, 29, 105257. [CrossRef] [PubMed] [Google Scholar]
  63. UNESCO. (2000). Éducation pour tous : situation et tendances, L’évaluation des acquis scolaires. Paris . [Google Scholar]
  64. UNESCO. (2012). Rapport Mondial de suivi sur l’Education Pour Tous, Jeunes et compétences : L’éducation au travail. Paris. [Google Scholar]
  65. UNESCO. (2005). Rapport Mondial de suivis sur l’Education Pour Tous, L’exigence de qualité,. Paris. [Google Scholar]
  66. UNESCO, & BIE. (2012). données mondiales sur l’éducation. [Google Scholar]
  67. Van Buuren, S., & Oudshoorn, K. G. MICE: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software , VV (II). [Google Scholar]
  68. Van Buuren, S., Boshuizen, H. C., & Knook, D. L. (1999). Multiple Imputation of Missing Blood Pressure Covariate in Survival Analysis. Statistics in medicine , 18 (6), 681–694. [CrossRef] [PubMed] [Google Scholar]
  69. Vial, J. (2009). Histoire de l’Education (éd. 4ème édition ). Paris: PUF. [CrossRef] [Google Scholar]
  70. Wang, ,. X., Khmelkov, V. T., & Schiller, K. S. (2002). Economic development and the effect of family characteristics on mathematics achievement. Journal of Marriage and family , 64, 730–742. [CrossRef] [Google Scholar]
  71. Yates, S. M. (2002). The Influence of Optimism and Pessimism in Mathematics. Mathematics Education Research Journal , 14 (1), 4–15. [CrossRef] [Google Scholar]
  72. StataCorp. 2011. Stata: Release 12. Statistical Software. College Station, TX: StataCorp LP. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.