Liouaeddine, Mariem and Bijou, Mohammed and Naji, Faïrouz (2017): The Main Determinants of Moroccan Students' Outcomes. Published in: American Journal of Educational Research , Vol. 5, No. 4 (13 April 2017): pp. 367-383.
Preview |
PDF
MPRA_paper_80247.pdf Download (718kB) | Preview |
Abstract
The main purpose of the present article is to highlight the major factors affecting Moroccan students’ outcomes in the second year of college (8th grade) and the sixth year of primary school (6th grade) using the Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study (PIRLS) (2011) databases compiled by the International Association for the Evaluation of Educational Achievement (IEA). The use of a multilevel approach is appropriate in our case study because it enables us to deal with the hierarchical structure of the data at two levels. The two levels in our case study are the student level and the school level. The method of Multiple imputation by chained equations (MICE) was applied to impute missing values contained in the student background, home, and school data files, and the endogeneity problem that results from the use of multilevel modeling was solved using the Hausman–Taylor instrumental variables estimator. The results show that Moroccan students’ outcomes are impacted by individual as well as contextual characteristics. More precisely, the index “school emphasis on academic success,” which is related to information about the student, parents, teachers, curricula, and educational goals, seems to play a key role in explaining Moroccan students’ academic performance.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Main Determinants of Moroccan Students' Outcomes |
English Title: | The Main Determinants of Moroccan Students' Outcomes |
Language: | English |
Keywords: | Morocco, eduction, student’s outcomes, TIMSS, PIRLS, multilevel modeling. |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics I - Health, Education, and Welfare > I2 - Education and Research Institutions > I24 - Education and Inequality |
Item ID: | 80247 |
Depositing User: | Pr Mariem LIOUAEDDINE |
Date Deposited: | 11 Nov 2021 03:26 |
Last Modified: | 11 Nov 2021 03:26 |
References: | Acemoglu, D., & Pischke, J.-S. (2002). Changes in the Wage Structure, Family Income, and Children’s Education. European economic review, 45 (4-6), 890-904. Acock, A. C. (2005). Working With Missing Values. Journal of Marriage and Family (67), 1012–1028. Akee, R. K., Copeland, W. E., Keeler, G., Angold, A., & Costello, E. J. (2010). Parents' incomes and children's outcomes: a quasi-experiment using transfer payments from casino profits. American Economic Journal: Applied Economics, 86-115. Akee, R., Copeland, W., Keeler, G., Angold, A., & Costello, J. (2008). Parents' incomes and children's outcomes: a quasi-experiment. Available at SSRN 1139910. Albright, J. J., & Marinova, D. M. (2010). Estimating multilevel models using SPSS, Stata, SAS, and R. Indiana University. Arrègle, J. L. (2003). Les modèles linéaires hiérarchiques: 1.—principes et illustration. Management, 6(1), 1-28. Aslan, D., & Aktaş Arnas, Y. (2015). The immediate impacts of preschool attendance on Turkish children’s mathematics achievement. Educational Studies, 41(3), 231-243. Astone, N. M., & McLanahan, S. S. (1991). Family structure, parental practices, and high school completion. American sociological review, 309-320. Baltagi, B. H., Bresson, G., & Pirotte, A. (2012). A Robust Hausman–Taylor Estimator. Advances in Econometrics (29), 175-214. Baltagi, B. H., Bressonb, G., & Pirot, A. (2003). Fixed effects, random effects, or Hausman–Taylor? A pretest estimator. Economics Letters (79), 361-369. Baumeister, R. F., Campbell, J. D., Krueger, J. I., & Vohs, K. D. (2003). Does high self-esteem cause better performance, interpersonal success, happiness, or healthier lifestyles?. Psychological science in the public interest, 4(1), 1-44. Baxter, J. (2002). How much does parental education explain the educational attainment of males and females in Australia?. Negotiating the Life Course. Becker, G. S. (1975). Human capital: a theoretical and empirical analysis. New York: Columbia. Becker, G. S., & Becker, G. S. (2009). A Treatise on the Family. Harvard university press. Becker, G. S., & Tomes, N. (1979). An equilibrium theory of the distribution of income and intergenerational mobility. The Journal of Political Economy, 1153-1189. Belley, P., & Lochner, L. (2007). The changing role of family income and ability in determining educational achievement (No. w13527). National Bureau of Economic Research.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. 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. Biblarz, T. J., & Raftery, A. E. (1999). Family Structure, Educational Attainment, and Socioeconomic Success: Rethinking the “Pathology of Matriarchy”. American Journal of Sociology, 105 (2), 321–365. Bouhlila, D. S., & Sellaouti, F. (2013). Multiple imputations using chained equations for missing data in TIMSS: a case study. Large-scale Assessments in Education, 1(1), 1-33. Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models: applications and data analysis methods. Sage Publications, Inc. Buuren, S., & Groothuis-Oudshoorn, K. (2011). mice: Multivariate imputation by chained equations in R. Journal of statistical software, 45(3). Caille, J. P. (2001). Scolarisation à 2 ans et réussite de la carrière scolaire au début de l'école élémentaire. Éducation et formations, 7-18. Carneiro, P. M., & Heckman, J. J. (2003). Human capital policy. Carneiro, P., & Heckman, J. J. (2002). The Evidence on Credit Constraints in Post‐Secondary Schooling*. The Economic Journal, 112(482), 705-734. Chetty, R., Friedman, J. N., Hilger, N., Saez, E., Schanzenbach, D. W., & Yagan, D. (2010). How does your kindergarten classroom affect your earnings? Evidence from Project STAR (No. w16381). National Bureau of Economic Research. Chevalier, A., Harmon, C., O’Sullivan, V., & Walker, I. (2013). The impact of parental income and education on the schooling of their children. IZA Journal of Labor Economics, 2(1), 8. Chevalier, A., & Lanot, G. (2002). The Relative Effect of Family Characteristics and Financial Situation on Educational Achievement. Education Economics, 10 ( Issue 2), 165-181. Chevalier, A., Harmon, C., O’Sullivan, V., & Walker, I. (2013). The impact of parental income and education on the schooling of their children. IZA Journal of Labor Economics, 2(1), 1-22. Clifton, R. A., Williams, T., & Clancy, J. (1991). The academic attainment of ethnic groups in Australia: A social psychological model. Sociology of education, 111-126. Coleman, J. S. (1968). Equality of educational opportunity. Integrated Education, 6(5), 19-28. Coleman, J. S., Campbell, E. Q., Hobson, C. J., McPartland, J., Mood, A. M., Weinfeld, F. D., & York, R. (1966). Equality of educational opportunity. Washington, dc, 1066-5684. Commission Européenne . (2013). Récupéré our Creative little scientists: Enabling creativity through science and mathematics in preschool and first years of primary education. : http://www.creative-little-scientists.eu/ Conseil Supérieur de l'Enseignement. (2009). rapport analytique du Programme Nationale d'Evaluation des acquis (P.N.E.A). Cortázar, A. (2015). Long-term effects of public early childhood education on academic achievement in Chile. Early Childhood Research Quarterly, 32, 13-22. Crede, J., Wirthwein, L., McElvany, N., & Steinmayr, R. (2015). Adolescents’ academic achievement and life satisfaction: the role of parents’ education. Frontiers in psychology, 6, 52. Darling-Hammond, L. (2000). Teacher quality and student achievement. Education policy analysis archives, 8, 1. 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. DeDonno, M. A., & Fagan, J. F. (2013). The influence of family attributes on college student's academic self-concept. North American Journal of Psychology, 15(1), 49-62. Dickson, M., Gregg, P., & Robinson, H. (2016). Early, late or never? When does parental education impact child outcomes?. The Economic Journal, 126(596). Downey, D. B. (1994). The school performance of children from single-mother and single-father families: Economic or interpersonal deprivation?. Journal of family issues, 15(1), 129-147. Dubow, E. F., Boxer, P., & Huesmann, L. R. (2009). Long-term effects of parents’ education on children’s educational and occupational success: Mediation by family interactions, child aggression, and teenage aspirations.Merrill-Palmer quarterly (Wayne State University. Press), 55(3), 224. Dufur, M. J., & Parcel, T. L. (2001). Capital at home and school: Effects on child social adjustment. Journal of Marriage and the family, volume 63 (1), 32-47. Ebbes, P., Bôckenholt, U., & Wedel, M. (2004). Regressor and random-effects dependencies in multilevel models. Statistica Neerlandica , 58 (2), 161–178. EL ANDALOUSSI, P. K., & FAIQ, P. M. La situation du préscolaire. Emler, N. (2001). Self-esteem: The costs and causes of low self-worth. York Publishing Services. Eren, O., & Henderson, D. J. (2008). The impact of homework on student achievement. The Econometrics Journal, 11(2), 326-348. Heymans, M., & Twisk, J. (2012, 07 5). Handling Missing Data. 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. Fatihi, M. L’évaluation des apprentissages: essai de typologie. Evaluation et apprentissage scolaire, 6. Fehrmann, P. G., Reimers, T. M., Keith, T. Z., Aubey, L. W., & Pottebaum, S. M. (1986). Parental involvement, homework, and TV time: Direct and indirect effects on high school achievement. Journal of Educational Psychology, 78 (5), 373-380. Finn, J. D., & Achilles, C. M. (1999). Tennessee's Class Size Study: Findings, Implications, Misconceptions. Educational Evaluation and Policy Analysis, 21 (2), 97-109. Flashman, J. (2012, August). Academic Achievement and Its Impact on Friend Dynamics. Sociology of Education, 85 (1), pp. 61–80. Fuchs, T., & Wößmann, L. (2008). What accounts for international differences in student performance? A re-examination using PISA data (pp. 209-240). Physica-Verlag HD. Fusaro, J. A. (1997). The Effect of Full-Day Kindergarten on Student Achievement: A Meta-Analysis. Child study journal, 27(4), 269-77. Ganzach, Y. (2000). Parents’ education, cognitive ability, educational expectations, and educational attainment: Interactive effects. British Journal of Educational Psychology, 70 (Issue 3), 419–441. Gibbons, S., & Telhaj, S. (2016). Peer effects: Evidence from secondary school transition in England. Grave, B. S. (2011). The effect of student time allocation on academic achievement. Education Economics, 19(3), 291-310. Greenwald, R., & Hedges, L. V. (1996 ). The Effect of School Resources on Student Achievement. Review of Educational Research, 66 (3), 361-396. Hægeland, T., Raaum, O., & Salvanes, K. G. (2005). Pupil achievement, school resources, and family background. Hair, N. L., Hanson, J. L., Wolfe, B. L., & Pollak, S. D. (2015). Association of child poverty, brain development, and academic achievement. JAMA pediatrics, 169(9), 822-829. 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. Hanchane, S., Idiri, N., & Benbiga, A. (2012). Pourquoi les acquis des élèves marocains sont-ils faibles? Critiques Economiques . Hansen, K. Y., Gustafsson, J. E., et al.. (2014). Northern Lights on TIMSS and PIRLS 2011: Differences and similarities in the Nordic countries. Nordic Council of Ministers. Hanushek, E. A., & Rivkin, S. G. (2010, May 2010 ). “Generalizations about Using Value-Added Measures of Teacher Quality”, American Economic Review, 100(2). Hanushek, E., Kain, J. F., Markman, J. M., & Rivkin, S. G. (2003). Does Peer Ability Affect Student Achievement? Journal of Applied Economics (18), pp. 527–544. Haveman, R., Wolfe, B., & Spaulding, J. (1991). Childhood events and circumstances influencing high school completion. Demography, 28(1), 133-157. Hoff, E. ( 2003). The Specificity of Environmental Influence: Socioeconomic Status Affects Early Vocabulary Development Via Maternal Speech. Child Development, 74 (5), 1368–1378. Hopkins, J. (1995). The Cooperative Elementary School: Effects on Students’ Achievement, Attitudes, and Social Relations. American Educational Research, 32 (2), 321-351. Hox, J. (2010). Multilevel analysis: Techniques and applications. Routledge. Hoxby, C. (2000). Peer effects in the classroom: Learning from gender and race variation (No. w7867). National Bureau of Economic Research. Hoxby, C. M. (2000, August). Peer Effect in the Class Room: Learning From Gender and Race Variation. NBER Working Paper (7867), pp. 1-54. IEA. (s.d.). accessed on June 05, 2013, sur http://nces.ed.gov/timss/countries.asp International Association for the Evaluation of Educational Achievement (IEA). (2012). TIMSS 2011 International Results in Mathematics. TIMSS & PIRLS International Study Center. International Association for the Evaluation of Educational Achievement (IEA). (2012). Ismail, N. A., & Awang, H. (2010). Analyzing the relationship between self-confidence in mathematics and students' characteristics using multinomial logistic regression. Kellaghan, T., & Greaney, V. (1992). Using Examinations To Improve Education: A Study in Fourteen African Countries. World Bank Technical Paper Number 165. Africa Technical Department Series. Distribution Unit, Office of the Publisher, Department F, The World Bank, 1818 H Street, NW, Washington, DC 20433 (free).. Kim, Y., & Sherraden, M. (2011). Do parental assets matter for children's educational attainment?: Evidence from mediation tests. Children and Youth Services Review, 33(6), 969-979. 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. Kintrea, K., St Clair, R., & Houston, M. (2011). The influence of parents, places and poverty on educational attitudes and aspirations. Joseph Rowntree Foundation. Krueger, A. B. (2003). Economic Considerations and Class Size. The Economic Journal , 113 (485), F34–F63. Lavy, V., & Angrist, J. D. (1999). Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement. Quarterly Journal of Economics , 114 (2), 533-575. Le Bastard Landrier, S. (2005). L’expérience subjective des élèves de seconde : influence sur les résultats scolaires et les voeux d’orientation. L'Orientation Scolaire et Professionnelle , 34 (2), pp. 143-164. Le, A., & Miller, P. (2002). Educational attainment in Australia: a cohort analysis. Lee, V. E., & Burkam, D. T. (2002). Inequality at the starting gate: Social background differences in achievement as children begin school. Economic Policy Institute, 1660 L Street, NW, Suite 1200, Washington, DC 20036. Leventhal, T., & Brooks-Gunn, J. (2000). The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes.Psychological bulletin, 126(2), 309. Lieb, R., Mayfield, J., Miller, M., & Pennucci, A. (2004). Benefits and costs of prevention and early intervention programs for youth (No. 04-07, p. 3901). Olympia, WA: Washington State Institute for Public Policy. Liu, T., Holmes, K., & Albright, J. (2015). Predictors of mathematics achievement of migrant children in Chinese urban schools: A comparative study. International Journal of Educational Development, 42, 35-42. Luke, D. A. (2004). Multilevel modeling: Quantitative applications in the social sciences. London: A sage university paper series. Mary A. Burke and Tim R. Sass, "Classroom Peer Effects and Student Achievement," Journal of Labor Economics 31, no. 1 (January 2013): 51-82. Mayer, S. E. (2010). Revisiting an old question: How much does parental income affect child outcomes. Focus, 27(2), 21-26. McLanahan, S., & Sandefur, G. (1994). Growing Up with a Single Parent. What Hurts, What Helps. Harvard University Press, 79 Garden Street, Cambridge, MA 02138. Memon S, Goswami P, Memon IA. Effects of Schooling and Parental Education on Student’s Achievement in Medical Entrance Test. J Liaquat Uni Med Health Sci. 2016;15(03):116-20. Morrissey, T. W., Hutchison, L., & Winsler, A. (2014). Family income, school attendance, and academic achievement in elementary school. Developmental psychology, 50(3), 741. Muhlenbruck, L., Cooper, H., Nye, B., & Lindsay, J. J. (1999). Homework and achievement: Explaining the different strengths of relation at the elementary and secondary school levels. Social Psychology of Education , 3 (4), pp. 295-317. Nechyba, T. J., McEwan, P. J., & Older-Aguilar, D. (1999). The impact of family and community resources on student outcomes: An assessment of the international literature with implications for New Zealand. Ministry of Education. Nord, C. W., & West, J. (2001). Fathers' and Mothers' Involvement in Their Children's Schools by Family Type and Resident Status. National Household Education Survey. Statistical Analysis Report. ED Pubs, PO Box 1398, Jessup, MD 20794-1398. Pallister, R., & Wilson, J. (1970). PARENTS’ATTITUDES TO EDUCATION. Educational Research, 13(1), 56-60. Pellegrino, J. W., Chudowsky, N., & Glaser, R. (2001). Knowing what students know. The Science and Design of Educational Assessment. Washington. Pelletier, R., & Normore, A. H. (2013). The predictive power of homework assignments on student achievement in mathematics. PIRLS 2011 International Results in Reading. TIMSS & PIRLS International Study Center. Preuschoff, C., & Martin, M. O. (2008). Creating the TIMSS 2007 Background Indices. Dans I. A. (IEA), TIMSS 2007 Technical Report (pp. 281-338). TIMSS & PIRLS International Study Center. Rasmusson, M. A. (2016, February 3). A multilevel analysis of Swedish and Norwegian students’ overall and digital reading performance with a focus on equity aspects of education. Large-scale Assessments in Education. Râty, H., Leinonen, T., & Snellman, L. (2002). Parents’ Educational Expectations and their Social–Psychological Patterning. Scandinavian Journal of Educational Research , 46 (2). Reddy, V. (2006). Mathematics and science achievement at South African schools in TIMSS 2003. HSRC Press. Reynolds, A. J., Temple, J. A., Robertson, D. L., & Mann, E. A. (2002). Age 21 cost-benefit analysis of the Title I Chicago child-parent centers. Educational Evaluation and Policy Analysis, 24(4), 267-303. Rivkin, S. G., & Hanushek, E. A. (2010). Generalizations about Using Value-Added Measures of Teacher Quality. American Economic Review , 100 (2), 267-271. Rockoff, J. E. (2004). The impact of individual teachers on student achievement: Evidence from panel data. American Economic Review, 247-252. Royston, P. (2009). Multiple imputation of missing values: further update of ice, with an emphasis on categorical variables. Stata Journal, 9(3), 466. Royston, P., & White, I. R. (2011). Multiple imputation by chained equations (MICE): implementation in Stata. Journal of Statistical Software, 45(4), 1-20. Rubin, D. B. (1976, December). TrustInference and Missing Data. Biometrika , 63 (3), pp. 581-592. Sacerdote, B. (2001). Peer Effects with Random Assignment: Results for Dartmouth Roommates. Quarterly Journal of Economics , 116 (2), 681-704. Sammons, P., Elliot, K., Sylva, K., Melhuish, E., Siraj‐Blatchford, I., & Taggart, B. (2004). The Impact of Pre‐school on Young Children's Cognitive Attainments at Entry to Reception. British Educational Research Journal , 30 (5), 691-712. Sandoval-Hernandez, A., Taniguchi, K., & Aghakasir, P. (2013, Décembre). Is participation in preschool education associated with higher student achievement? (IEA, Éd.) IEA’s Policy Brief Series (2), pp. 1-8. Schafer, J. L., & Olsen, O. K. (1998). Multiple Imputation for multivaraite Missing-Data Problems: A Data Analyst's Perspective. Multivariate Behavioral Research , 33 (4), 545-571. Schiller, K. S., Khmelkov, V. T., & Wang, X. Q. (2002). Economic development and the effects of family characteristics on mathematics achievement. Journal of Marriage and Family, 64(3), 730-742. Schoen, C., Schooler, C., & Rosenberg, M. (1989). Self-Esteem and Adolescent Problems: Modeling Reciprocal Effects. American Sociological Review , 54 (6), 1004-1018. Schütz, G. (2009). Does the quality of pre-primary education pay off in secondary school? An international comparison using PISA 2003 (No. 68). Ifo Working Paper. Shah, V. P., & Sewell, W. H. (1968). Social Class, Parental Encouragement, and Educational Aspirations. American Journal of Sociology , 73 (5), 559-572. Shepherd, B. (2010). Session 3: Dealing with Reverse Causality. ARTNeT Capacity Building Workshop for Trade Research: Gravity Modeling, (pp. 1-41). Shim, M. K., Felner, R. D., & Shim, E. (2000). The Effects of Family Structures on Academic Achievement. Snellman, L., & Räty, H. (1998). Social representations of educability. Social Psychology of Education , 1 (Issue 4), 359-373. Snijders, T. A. (2005). Power and sample size in multilevel linear models.Encyclopedia of statistics in behavioral science. Snijders, T. A., & Boske, R. J. (1993). Standard Errors and Sample Sizes for Two-Level Research. Journal of Educational Statistics , 18 (3), 237-259. Spencer, N. H., & Fielding, A. (2000). An instrumental variable consistent estimation procedure to overcome the problem of endogenous variables in multilevel models. Multilevel Modelling Newsletter, 12(1), 4-7. StataCorp. 2011. Stata: Release 12. Statistical Software. College Station, TX: StataCorp LP. Summers, A. A., & Wolfe, B. L. (1975). Equality of Educational Opportunity Quantified: A Production Function Approach. 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. Temple, J. A., Reynolds, A. J., & Miedel, W. T. (2000 ). Can Early Intervention Prevent High School Dropout? Urban Education , 35 (1), 31-56. The National Center for Education Statistics (NCES). (2013). Progress in International Reading Literacy Study International Data Explorer Help Guide. The White House. (2013). The President’s plan for a strong middle class & a string America. Accessed from http://www.whitehouse.gov/sites/default/files/uploads/sotu_2013_blueprint.pdf Thompson, D. M., Fernald, D. H., & Mold, J. W. (2012). Intraclass correlation coefficients typical of cluster-randomized studies: estimates from the Robert Wood Johnson Prescription for Health projects. Annals of family medicine , 10 (3), pp. 235–240. UNESCO, & BIE. (2012). données mondiales sur l’éducation. UNESCO. (2000). Éducation pour tous : situation et tendances, L'évaluation des acquis scolaires. Paris . UNESCO. (2005). Rapport Mondial de suivis sur l'Education Pour Tous, L'exigence de qualité,. Paris. UNESCO. (2012). Rapport Mondial de suivi sur l'Education Pour Tous, Jeunes et compétences : L'éducation au travail. Paris. Valentine, J. C., Dubois, D. L., & Cooper, H. (2004). The Relation Between Self-Beliefs and Academic Achievement: A Meta Analytic Review. Educational Psychologist , 39 (2), 111-133. 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. Vial, J. (2009). Histoire de l'Education (éd. 4ème édition ). Paris: PUF. Willms, J. D., & Somer, M. A. (2001). Family, classroom, and school effects on childrens educational outcomes in Latin America. School effectiveness and school improvement, 12(4), 409-445. Woessmann, L., & West, M. (2006). Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS. European Economic Review , 50 (3), 695-736. Wu, M. (2005). The Role of Plausible Values in Large-Scale Surveys. Studies in Educational Evaluation(31), 114-128. doi: 10.1016/j.stueduc.2005.05.005 Xiao, X.-y., & Tse, S. (2014, July 24). Differential influences of affective factors and contextual factors on high-proficiency readers and low-proficiency readers: a multilevel analysis of PIRLS data from Hong Kong. Large-scale Assessments in Education. Yates, S. M. (2002). The Influence of Optimism and Pessimism in Mathematics. Mathematics Education Research Journal , 14 (1), 4-15. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/80247 |