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Journal
2017 | 2(2017) | 113–135
Article title

The significance of student age variance in estimating value added measures for Polish lower secondary schools

Title variants
Languages of publication
EN
Abstracts
EN
Research shows that there are at least four age related factors correlated with the level of school achievement and improvement: month of birth, early or delayed school entry and grade retention. Educational value added (EVA) measures are used in the evaluation of school effectiveness. They are estimated from relative increases in achievement. However, Polish EVA models do not include student age, which may bias the calculated indicators. This article presents findings from a study estimating the magnitude of this bias for Polish lower secondary schools over four years (2010–2013). The results demonstrated that the inclusion of student age only slightly changed EVA estimates. The bias caused by omitting age in recent years seems, therefore, rather minor.
Journal
Year
Issue
Pages
113–135
Physical description
Contributors
  • Educational Research Institute
References
  • Bell, J. F. and Daniels, S. (1990). Are summer-born children disadvantaged? The birthdate effect in education. Oxford Review of Education, 16(1), 67–80.
  • Cameron, M. B. and Wilson, B. J. (1990). The effects of chronological age, gender, and delay of entry on academic achievement and retention: implications for academic redshirting. Psychology in the Schools, 27(3), 260–263.
  • Carlton, M. P. and Winsler, A. (1999). School readiness: the need for a paradigm shift. School Psychology Review, 28(3), 338–352.
  • Crone, D. A. and Whitehurst, G. J. (1999). Age and schooling effects on emergent literacy and early reading skills. Journal of Educational Psychology, 91(4), 604–614.
  • Deming, E. W. (1953). On the distinction between enumerative and analytic surveys. Journal of the American Statistical Association, 48, 244–255.
  • Dietz, C. and Wilson, B. J. (1985). Beginning school age and academic achievement. Psychology in the Schools, 22(1), 93–94.
  • Ding, C. S. and Davison, M. L. (2005). A longitudinal study of math achievement gains for initially low achieving students. Contemporary Educational Psychology, 30(1), 81–95.
  • Dolata, R. and Pokropek, A. (2012). Czy warto urodzić się w styczniu? Wiek biologiczny a wyniki egzaminacyjne. In B. Niemierko and M. K. Szmigel (eds.), Regionalne i lokalne diagnozy edukacyjne. Materiały XVIII Konferencji Diagnostyki Edukacyjnej (pp. 52–58). Kraków: Polskie Towarzystwo Diagnostyki Edukacyjnej.
  • Dolata, R. and Szaleniec, H. (2012). Funkcje krajowych egzaminów w systemie edukacji. Polityka Społeczna, 1(numer tematyczny), 37–41.
  • Dolata, R., Hawrot, A., Humenny, G., Jasińska, A., Koniewski, M., Majkut, P. and Żółtak, T. (2013). Trafność metody edukacyjnej wartości dodanej dla gimnazjów. Warszawa: Instytut Badań Edukacyjnych.
  • Dolata, R., Hawrot, A., Humenny, G., Jasińska-Maciążek, A., Koniewski, M. and Majkut, P. (2014). Kontekstowy model oceny efektywności nauczania po pierwszym etapie edukacyjnym. Warszawa: Instytut Badań Edukacyjnych.
  • Domanski, H. and Pokropek, A. (2011). Podziały terytorialne, globalizacja a nierówności społeczne: wprowadzenie do modeli wielopoziomowych. Warszawa: Wydawnictwo IFiS PAN.
  • Frydrychowicz, A., Koźniewska, E., Matuszewski, A. and Zwierzyńska, E. (2006). Skala gotowości szkolnej. Podręcznik. Warszawa: Centrum Metodyczne Pomocy Psychologiczno-Pedagogicznej.
  • Hægeland, T., Kirkebøen, L., Raaum, O. and Salvanes, K. (2005). School performance indicators for Oslo, Reports 2005/36. Oslo: Statistics Norway.
  • Hutchison, D. and Sharp, C. (1999). A lasting legacy? The persistence of season of birth effects. Paper presented at The British Educational Research Association Conference, University of Sussex, Brighton. Retrieved https://www.nfer. ac.uk/publications/44411/44411.pdf
  • Jasińska, A. and Modzelewski, M. (2013). Międzyszkolne zróżnicowanie wyników nauczania po pierwszym etapie kształcenia. In B. Niemierko and M. K. Szmigel (eds.), Polska edukacja w świetle diagnoz prowadzonych z różnych perspektyw badawczych (pp. 165–178). Kraków: Polskie Towarzystwo Diagnostyki Edukacyjnej.
  • Jasińska-Maciążek, A. and Modzelewski, M. (2014). Modele analizy zróżnicowania wyników nauczania. In R. Dolata (ed.), Czy szkoła ma znaczenie? Analiza zróżnicowania efektywności nauczania na pierwszym etapie edukacyjnym (pp. 65–92). Warszawa: Instytut Badań Edukacyjnych.
  • Jimerson, S. R. (2001). Meta-analysis of grade retention research: implications for practice in the 21st century. School Psychology Review, 30(3), 420–437.
  • Karwowski, M. and Dziedziewicz, D. (2012). Test umiejętności na starcie szkolnym. Podręcznik. Warszawa: Instytut Badań Edukacyjnych.
  • Konarzewski, K. (2013). Wiek startu szkolnego a osiągnięcia w nauce w okresie wczesnoszkolnym. Edukacja, 124(4), 5–19.
  • Langer, P., Kalk, J. M. and Searls, D. (1984). Age of admission and trends in achievement: a comparison of Blacks and Caucasians. American Educational Research Journal, 21(1), 61–78.
  • Lee, J. and Fish, R. M. (2010). International and interstate gaps in value-added math achievement: multilevel instrumental variable analysis of age effect and grade effect. American Journal of Education, 117(1), 109–137.
  • Lincove, J. A. and Painter, G. (2006). Does the age that children start kindergarten matter? Evidence of long-term educational and social outcomes. Educational Evaluation and Policy Analysis, 28(2), 153–179. doi: 10.3102/01623737028002153
  • Malec, D. J. (2008). Superpopulation. In P. J. Lavrakas (ed.), Encyclopedia of survey research methods (vol. 2, pp. 855–856). Thousand Oaks: Sage Publications.
  • Martin, A. J. (2009). Age appropriateness and motivation, engagement, and performance in high school: effects of age within cohort, grade retention, and delayed school entry. Journal of Educational Psychology, 101(1), 101–114.
  • Martin, R. P., Foels, P., Clanton, G. and Moon, K. (2004). Season of birth is related to child retention rates, achievement, and rate of diagnosis of specific LD. Journal of Learning Disabilities, 37(4), 307–317.
  • May, D. C. and Kundert, D. K. (1995). Does delayed school entry reduce later grade retentions and use of special education services? Remedial and Special Education, 16(5), 288–94.
  • Mayer, S. E. and Knutson, D. (1999). Does the timing of school affect how much children learn? In S. E. Mayer and P. E. Peterson (eds.), Earning and learning: how schools matter (pp. 79–102). Washington: Brookings Institution Press.
  • Morrison, F. J. F. J., Griffith, E. M. and Alberts, D. M. (1997). Nature-nurture in the classroom: entrance age, school readiness, and learning in children. Developmental Psychology, 33(2), 254–262.
  • OECD (2008). Measuring improvements in learning outcomes: best practices to assess the value-added of schools. Paris: OECD Publishing.
  • Raudenbush, S. W. and Bryk, A. S. (2002). Hierarchical linear models: applications and data analysis methods. Thousand Oaks: Sage Publications.
  • Raudenbush, S. W. and Willms, J. D. (1995). The estimation of school effects. Journal of Educational and Behavioral Statistics, 20(4), 307–335.
  • Ray, A. (2006). School value added measures in England. Retrieved from http://webarchive.nationalarchives. gov.uk/20130401151715/http://www.education.gov. uk/publications/eOrderingDownload/RW85.pdf
  • Ray, A., McCormack, T. and Evans, H. (2009). Value added in English schools. Education Finance and Policy, 4(4), 415–438.
  • Sharp, C. (2002). School starting age: European policy and recent research. Paper presented at LGA Seminarium “When Should Our Children Start School?”, London.
  • Smith, J. (2009). Can regression discontinuity help answer an age-old question in education? The effect of age on elementary and secondary school achievement. The B.E. Journal of Economic Analysis and Policy, 9(1). doi: 10.2202/1935-1682.2221
  • Snijders, T. A. B. and Bosker, R. J. (2012). Multilevel analysis: an introduction to basic and advanced multilevel modeling (2nd ed.). Los Angeles: Sage Publications.
  • Stipek, D. and Byler, P. (2001). Academic achievement and social behaviors associated with age of entry into kindergarten. Applied Developmental Psychology, 22(2), 175–189.
  • Sweetland, J. D. and De Simone, P. A. (1987). Age of entry, sex, and academic achievement in elementary school children. Psychology in the Schools, 24(4), 406–412.
  • Sykes, E., Bell, J. and Vidal Rodeiro, C. (2009). Birthdate effects: a review of the literature from 1990-on. Retrieved from http://www.cambridgeassessment.org. uk/Images/109784-birthdate-effects-a-review-of-the-literature-from-1990-on.pdf
  • Verachtert, P., De Fraine, B., Onghena, P. and Ghesquière, P. (2010). Season of birth and school success in the early years of primary education. Oxford Review of Education, 36(3), 285–306.
  • Wei, X., Blackorby, J. and Schiller, E. (2011). Growth in reading achievement of students with disabilities, ages 7 to 17. Exceptional Children, 78(1), 89–106.
  • Wen, X., Bulotsky-Shearer, R. J., Hahs-Vaughn, D. L. and Korfmacher, J. (2012). Head Start program quality: examination of classroom quality and parent involvement in predicting children’s vocabulary, literacy, and mathematics achievement trajectories. Early Childhood Research Quarterly, 27(4), 640–653.
  • Żółtak, T. (2013). Statystyczne modelowanie wskaźników edukacyjnej wartości dodanej – podsumowanie polskich doświadczeń. Warszawa: Instytut Badań Edukacyjnych.
Notes
http://www.edukacja.ibe.edu.pl/images/numery/2017/2-7-jasinska-maciazek-student-age-variance.pdf
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-6ea78bf6-60e6-45d4-b117-e66634a0c8c6
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