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On-entry assessment of school competencies and academic achievement: a comparison between Slovenia and Germany

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Abstract

The foundation of school success is laid early in children’s lives. Consequently, assessments of academic precursors may help to identify children in need of additional support. Such early assessments could also be interesting from an international perspective when educational systems are compared. This analysis is used to inform on the comparability of Slovenian and German versions of the English on-school-entry assessment tool “Performance Indicators in Primary School” (PIPS; Tymms and Albone 2002). PIPS was also used to predict later academic achievement in the two national samples. The German sample consisted of 468 children with a mean age of about 6;6 years at school entry (48.7 % girls). In Slovenia, 328 children (49 % girls) were assessed (mean age of about 6;3 years at school entry). Multi-group confirmatory factor analyses for PIPS did not support weak measurement invariance. However, results indicated that the number of factors as well as the pattern of loadings seems to be comparable. Further research is needed to examine in which respects PIPS might work as a tool for international comparisons. Structural equation modelling indicated that PIPS can be used as a predictor of academic achievement and that overall academic achievement could be predicted best by early numeracy. PIPS measures of literacy and numeracy skills were specific and significant predictors of children’s later language and math achievement in grade 1.

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Notes

  1. Because children were nested within schools (39 and 28 schools in the Slovene and German sample, respectively), multilevel models were employed in preliminary analyses to examine design effects (computed based on intra-class correlation: 1 + (mean cluster size—1) ICC, Snijders and Bosker 1999) for PIPS indicators. The great majority of variables demonstrated design effects smaller than 2 indicating a low effect of school clustering (Muthén 1999). Consequently, multi-level models were not employed.

References

  • Aunio, P., & Niemivirta, M. (2010). Predicting children's mathematical performance in grade one by early numeracy. Learning and Individual Differences, 20, 427–435.

    Article  Google Scholar 

  • Bäuerlein, K., Faust, G., Franz, U., Jost, M., & Schneider, W. (2010). Fähigkeitsindikatoren Primarschule (FIPS)—Erprobung und Weiterentwicklung einer internationalen computerbasierten Schulanfangsdiagnose [Performance Indicators for Primary Schools (PIPS)—testing and development of an international computerized test instrument for the beginning of school]. In M. Hasselhorn & W. Schneider (Eds.), Frühprognose schulischer Kompetenzen, Tests und Trends, N.F., Vol. 9 (pp. 85–108). Göttingen: Hogrefe.

    Google Scholar 

  • Bäuerlein, K., Niklas, F., & Schneider, W. (2014). Fähigkeitsindikatoren Primarschule (FIPS)—Überprüfung des Lernerfolgs in der ersten Klasse [Performance Indicators for Primary Schools (PIPS)—Evaluation of learning success in Grade 1]. In M. Hasselhorn, W. Schneider, & U. Trautwein (Eds.), Lernverlaufsdiagnostik, Tests und Trends, N.F., Vol. 12 (pp. 127–144). Göttingen: Hogrefe.

    Google Scholar 

  • Betts, J., Pickart, M., & Heistad, D. (2009). Construct and predictive validity evidence for curriculum-based measures of early literacy and numeracy skills in kindergarten. Journal of Psychoeducational Assessment, 27(2), 83–95.

    Article  Google Scholar 

  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. Bollen & J. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.

    Google Scholar 

  • Burgemeister, B., Blum, L., & Lorge, J. (1972). Columbia mental maturity scale. New York: Harcourt Brace Jovanovich.

    Google Scholar 

  • Byrnes, J. P., & Wasik, B. A. (2009). Factors predictive of mathematics achievement in kindergarten, first and third Grades: An opportunity—propensity analysis. Contemporary Educational Psychology, 34, 167–183.

    Article  Google Scholar 

  • Centre, C. E. M. (2001). Performance indicators in primary schools (technical report 2001). Durham, UK: University of Durham.

    Google Scholar 

  • Centre, C. E. M. (2005a). Performance indicators in primary schools: On-entry baseline assessment [Booklet format]. Durham, UK: University of Durham.

    Google Scholar 

  • Centre, C. E. M. (2005b). Performance Indicators in Primary Schools: On-entry baseline assessment: Follow-up [Booklet format]. Durham, UK: University of Durham.

    Google Scholar 

  • Chen, F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling Multidisciplinary Journal, 14(3), 464–504.

    Article  Google Scholar 

  • Chen, F., Curran, P. J., Bollen, K. A., Kirby, J., & Paxton, P. (2008). An empirical evaluation of the use of fixed cut-off points in RMSEA test statistic in structural equation models. Sociological Methods & Research, 36(4), 462–494.

    Article  Google Scholar 

  • Chittleborough, C. R., Mittinty, M. N., Lawlor, D. A., & Lynch, J. W. (2014). Effects of simulated interventions to improve school entry academic skills on socioeconomic inequalities in educational achievement. Child Development, 85(6), 2247–2262.

    Google Scholar 

  • Cuna, F., & Heckman, J. (2010). Investing in our young people. Cambridge, MA: National Bureau of Economic Research.

    Book  Google Scholar 

  • Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1, 16–29.

    Article  Google Scholar 

  • Dowker, A. (2005). Early identification and intervention for students with mathematics difficulties. Journal of Learning Disabilities, 38(4), 324–332.

    Article  Google Scholar 

  • Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., et al. (2007). School readiness and later achievement. Developmental Psychology, 43(6), 1428–1446.

    Article  Google Scholar 

  • Ehm, J. H., & Hasselhorn, M. (2014). Prediction of spelling abilities in grade 4: Results from the German longitudinal study „Schulreifes Kind”. Presentation held at the Scottish Educational Research Association (SERA) Annual Conference 2014, Edinburgh, UK.

  • Esser, G. (2002). BUEVA—Basisdiagnostik für umschriebene Entwicklungsstörungen im Vorschulalter [BUEVA—basis diagnostics for developmental disorders at pre-school age]. Göttingen: Beltz.

    Google Scholar 

  • Fan, X., & Sivo, S. (2007). Sensitivity of fit indices to model misspecification and model types. Multivariate Behavioral Research, 42(3), 509–529.

    Article  Google Scholar 

  • Geary, D. C. (2011). Cognitive predictors of achievement growth in mathematics: a 5-year longitudinal study. Developmental Psychology, 47(6), 1539–1552.

    Article  Google Scholar 

  • Hair, E., Halle, T., Terry-Humen, E., Lavelle, B., & Calkins, J. (2006). Children’s school readiness in the ECLS-K: predictions to academic, health, and social outcomes in first grade. Early Childhood Research Quarterly, 21, 431–454.

    Article  Google Scholar 

  • Hair, J. F., Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, NJ: Prentice-Hall.

    Google Scholar 

  • Hasselhorn, M., Schöler, H., Schneider, W., Ehm, J.-H., Johnson, M., Keppler, I., Krebs, K., Niklas, F., Randhawa, E., Schmiedeler, S., Segerer, R., & Wagner, H. (2012). Gezielte Zusatzförderung im Modellprojekt “Schulreifes Kind”—Auswirkungen auf Schulbereitschaft und schulischen Lernerfolg [Focused additional support in the project “Schoolready child”—impact on school readiness and school success]. Frühe Bildung, 1(1), 3–10.

    Article  Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

    Article  Google Scholar 

  • Kenny, D. A. (2014). Measuring Model Fit. Retrieved February 3, 2016 from URL: http://davidakenny.net/cm/fit.htm

  • Krajewski, K., Küspert, P., Schneider, W., & Visé, M. (2002). Deutscher Mathematiktest für erste Klassen (DEMAT 1+). [German mathematical test for Grade 1]. Göttingen: Hogrefe.

    Google Scholar 

  • Krajewski, K., Liehm, S., & Schneider, W. (2004). Deutscher Mathematiktest für zweite Klassen (DEMAT 2+). [German mathematical test for Grade 2]. Göttingen: Hogrefe.

    Google Scholar 

  • Krajewski, K., & Schneider, W. (2009). Early development of quantity to number-word linkage as a precursor of mathematical school achievement and mathematical difficulties: Findings from a four-year longitudinal study. Learning and Instruction, 19, 513–526.

    Article  Google Scholar 

  • Lenhard, W., & Schneider, W. (2006). Ein Leseverständnistest für Erst- bis Sechstklässler. [A reading comprehension test for Grade 1 to 6]. Göttingen: Hogrefe.

    Google Scholar 

  • MacCallum, R. (1986). Specification searches in covariance structure modeling. Psychological Bulletin, 100, 107–120.

    Article  Google Scholar 

  • Marcoulides, G. A., & Hershberger, S. L. (1997). Multivariate statistical methods: A first course. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Masten, A. S., Coatsworth, J. D., Neemann, J., Gest, S. D., Tellegen, A., & Garmezy, N. (1995). The structure and coherence of competence from childhood through adolescence. Child Development, 66, 1635–1659.

    Article  Google Scholar 

  • McWayne, C. M., Fantuzzo, J. W., & McDermott, P. A. (2004). Competency in context: an investigation of the unique contribution of child competencies to early academic success. Developmental Psychology, 40(4), 633–645.

    Article  Google Scholar 

  • Muthén, L. K. (1999). Multilevel data/complex sample: Intraclass correlations [4th post]. Retrieved February 3, 2016 from URL: http://www.statmodel.com/discussion/messages/12/18.html?1238555255

  • Näslund, J. C., & Schneider, W. (1996). Kindergarten letter knowledge, phonological skills, and memory processes: relative effects on early literacy. Journal of Experimental Child Psychology, 62, 30–59.

    Article  Google Scholar 

  • Niklas, F. (2011). Vorläuferfertigkeiten im Vorschulalter zur Vorhersage der Schulfähigkeit, späterer Rechenschwäche und Lese- und Rechtschreibschwäche. Diagnostik, Zusammenhänge und Entwicklung in Anbetracht der bevorstehenden Einschulung [Precursors of school readiness and for the prediction of later dyscalculia and dyslexia. Diagnosis, interrelations and development considering imminent school enrolment]. Hamburg: Dr. Kovač.

  • Niklas, F., Cohrssen, C., & Tayler, C. (in press). Improving preschoolers’ numerical abilities by enhancing the home numeracy environment. Early Education and Development. doi: http://dx.doi.org/10.1080/10409289.2015.1076676

  • Niklas, F., & Schneider, W. (2015). With a little help: improving kindergarten children’s vocabulary by enhancing the home literacy environment. Reading and Writing: An Interdisciplinary Journal, 28(4), 491–508.

    Article  Google Scholar 

  • OECD (2014). Education at a glance 2014: OECD Indicators. OECD Publishing. doi: http://dx.doi.org/10.1787/eag-2014-en

  • Peugh, J. L., & Enders, C. K. (2004). Missing data in educational research: a review of reporting practices and suggestions for improvement. Review of Educational Research, 74(4), 525–556.

    Article  Google Scholar 

  • Preßler, A.-L., Könen, T., Hasselhorn, M., & Krajewski, K. (2014). Cognitive preconditions of early reading and spelling: a latent-variable approach with longitudinal data. Reading and Writing, 27, 383–406.

    Article  Google Scholar 

  • Raven, J., Raven, J. C., & Court, J. H. (1999). Priročnik za Ravenove progresivne matrice in besedne lestvice. 2. zvezek. Barvne progresivne matrice. [Manual for Raven's progressive matrices and vocabulary scales. Section 2. Colored progressive matrices] Ljubljana: Center za psihodiagnostična sredstva.

  • Schafer, J. L., & Graham, J. W. (2002). Missing data: our view of the state of the art. Psychological Methods, 7(2), 147–177.

    Article  Google Scholar 

  • Schleicher, A. (2013). Beyond PISA 2015: A longer-term strategy of PISA. 36th meeting of the PISA Governing Board. EDU/PISA/GB(2013)14. Retrieved October 3, 2015 from http://www.oecd.org/callsfortenders/ANNEX%20A.pdf

  • Schneider, W. (2009). The development of reading and spelling: Relevant precursors, developmental changes, and individual differences. In W. Schneider & M. Bullock (Eds.), Human development from early childhood to early adulthood: findings from a 20 year longitudinal study (pp. 199–220). New York: Psychology Press.

    Google Scholar 

  • Schneider, W., Blanke, I., Faust, V., & Küspert, P. (2011). Würzburger Leise Leseprobe-Revision (WLLP-R). Ein Gruppentest für die Grundschule [Würzburger silent reading test—revision (WLLP-R). A group test for primary school]. Göttingen: Hogrefe.

    Google Scholar 

  • Schneider, W., & Näslund, J. C. (1999). The impact of early phonological processing skills on reading and spelling in school: Evidence from the Munich Longitudinal Study. In F. E. Weinert & W. Schneider (Eds.), Individual development from 3 to 12: Findings from the Munich Longitudinal Study (pp. 126–147). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Schneider, W., Niklas, F., & Schmiedeler, S. (2014). Intellectual development from early childhood to early adulthood: the impact of early IQ differences on stability and change over time. Learning and Individual Differences, 32, 156–162.

    Article  Google Scholar 

  • Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel analysis. An introduction to basic and advanced multilevel modeling. London: Sage.

    Google Scholar 

  • Stern, E. (2009). The development of mathematical competencies. Sources of individual differences and their developmental trajectories. In W. Schneider & M. Bullock (Eds.), Human development from early childhood to early adulthood: Findings from a 20 year longitudinal study (pp. 221–237). New York: Psychology Press.

    Google Scholar 

  • Stock, C., & Schneider, W. (2008). Deutscher Rechtschreibtest für das erste und zweite Schuljahr (DERET 1-2+) [German Spelling Test for Grade 1 and 2]. Göttingen: Hogrefe.

    Google Scholar 

  • Torppa, M., Poikkeus, A.-M., Laakso, M.-L., Eklund, K., & Lyytinen, H. (2006). Predicting delayed letter knowledge development and its relation to grade 1 reading achievement among children with and without familial risk for dyslexia. Developmental Psychology, 42(6), 1128–1142.

    Article  Google Scholar 

  • Tymms, P. (1999). Baseline assessment, value-added and the prediction of reading. Journal of Research in Reading, 22(1), 27–36.

    Article  Google Scholar 

  • Tymms, P. (2001). The development of a computer-adaptive assessment in the early years. Educational and Child Psychology, 18(3), 20–30.

    Google Scholar 

  • Tymms, P., & Albone, S. (2002). Performance indicators in primary school. In A. J. Visscher & R. Coe (Eds.), School improvement through performance feedback (pp. 191–218). Lisse, Holland: Swets & Zeitlinger.

    Google Scholar 

  • Tymms, P., Merrell, C., Hawker, D., & Nicholson, F. (2014). Performance indicators in primary schools: A comparison of performance on entry to school and the progress made in the first year in England and four other jurisdictions. Durham, UK: University of Durham.

    Google Scholar 

  • Tymms, P., Merrell, C., Henderson, B., Albone, S., & Jones, P. (2007). Links between children’s starting points and finishing points in primary school. Paper presented at 12th Conference of European Association for Research on Learning and Instruction, Budapest, Hungary.

  • Tymms, P., Merrell, C., & Jones, P. (2004). Using baseline assessment data to make international comparisons. British Educational Research Journal, 30(5), 673–689.

    Article  Google Scholar 

  • Tymms, P., & Wylde, M. (2004). Basisprüfverfahren und Dauerbeobachtung in der Grundschule. [Basis test instrument and permanent monitoring in primary schools]. In G. Faust, M. Götz, H. Hacker, & H.-G. Roßbach (Eds.), Anschlussfähige Bildungsprozesse im Elementar- und Primarbereich (pp. 190–203). Bad Heilbrunn: Julius Klinkhardt.

    Google Scholar 

  • Van de Vijver, F. J. R., & Leung, K. (1997). Methods and data analysis of comparative research. In J. W. Berry, Y. H. Poortinga, & J. Pandey (Eds.), Handbook of cross cultural psychology (Vol. 1, pp. 257–300). Boston, MA: Allyn & Bacon.

  • Vidmar, M. (2010). Dejavniki socialnega vedenja in učne uspešnosti v srednjem otroštvu [The precursors of social behavior and academic achievement in middle childhood. Unpublished doctoral dissertation]. Neobjavljena doktorska disertacija, Univerza v Ljubljani, Filozofska fakulteta, Oddelek za psihologijo, Ljubljana.

  • Vidmar, M. (2011). Socialna kompetentnost in učna uspešnost v prvih razredih osnovne šole [Social competence and academic achievement in the first Grades]. Šolsko polje [School Field], 22(1–2), 31–54.

    Google Scholar 

  • Vidmar, M., & Tymms, P. (2009). Performance indicators in primary schools: on-entry baseline assessment and follow-up material (PIPS-BA): introducing PIPS into Slovenian context - background, translation, adaptation, and application of the assessment. Ljubljana: Pedagoški inštitut.

    Google Scholar 

  • Vidmar, M. & Zupančič, M. (2006). PIPS: Preizkus temeljnih kompetentnosti otrok ob vstopu v šolo – začetni preizkus in spremljanje [PIPS: On-Entry Baseline Assessment and Follow-up. Unpublished]. Neobjavljeno gradivo, Pedagoški inštitut, Ljubljana.

  • Vidmar, M., & Zupančič, M. (2007a). PIPS: Preizkus temeljnih kompetentnosti otrok ob vstopu v šolo – dodatek [PIPS: Extension. Unpublished]. Neobjavljeno gradivo, Pedagoški inštitut, Ljubljana.

  • Vidmar, M., & Zupančič, M. (2007b). Predloge za oceno doseženih standardov znanja v 2. razredu. Neobjavljeno gradivo [Attainment of Performance Standards in Slovene, Math and Nature & Society: 2nd Grade. Unpublished]. Neobjavljeno gradivo, Pedagoški inštitut, Ljubljana.

  • Wegener, B. (1988). Kritik des Prestiges [Criticism of the prestige]. Opladen: Westdeutscher Verlag.

    Book  Google Scholar 

  • Widaman, K. F., & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Wildy, H., & Styles, I. (2008). Measuring what students entering school know and can do: PIPS Australia 2006–2007. Australasian Journal of Early Childhood, 33(4), 43–52.

    Google Scholar 

  • Wilkinson, J. E., Watt, J., Napuk, A., & Normand, B. (1998). Baseline assessment literature review and pre-school record keeping in Scotland. Interchange, 55, 4–19.

    Google Scholar 

  • Wu, A. D., Li, Z., & Zumbo, B. D. (2007). Decoding the meaning of factorial invariance and updating the practice of multi-group confirmatory factor analysis: a demonstration with TIMSS data. Practical Assessment, Research & Evaluation, 12(3), 1–26.

    Google Scholar 

  • Zupančič, M., & Kavčič, T. (2007a). Otroci od vrtca do šole: razvoj osebnosti in socialnega vedenja ter učna uspešnost prvošolcev [Children from preschool to school: the development of personality and social behaviour, and academic achievement in the first Grade]. Ljubljana: Znanstvenoraziskovalni inštitut Filozofske fakultete.

    Google Scholar 

  • Zupančič, M., & Kavčič, T. (2007b). Vzdolžna in sočasna napoved učnih dosežkov pri prvošolcih. [Longitudinal and concurrent prediction of academic achievement in the first Grade.]. Šolsko polje, 18(5/6), 141–170.

    Google Scholar 

  • Zupančič, M., & Kavčič, T. (2008). Dejavniki okolja, otrokovo socialno vedenje v vrtcu/šoli in učna uspešnost v prvem razredu. [Environmental factors, children’s social behavior in (pre)school and academic achievement in the first Grade.]. Šolsko polje, 19(1/2), 51–79.

    Google Scholar 

  • Zupančič, M. (2006). Predloge za oceno doseženih standardov znanja v 1. razredu. [Neobjavljeno gradivo.] [Attainment of Performance Standards in Slovene, Math and Nature & Society: 1st Grade. Unpublished.] Ljubljana: Filozofska fakulteta, Oddelek za psihologijo.

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Correspondence to Maša Vidmar.

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Maša Vidmar is a developmental psychologist involved in educational research. She works as the researcher at the Educational Research Institute in Slovenia. Her research interests are links between academic achievement and the social-emotional domain and other precursors of academic achievement (including children’s early literacy and numeracy, effortful control). She is also involved in international comparative studies of students’ achievements.

Email: masa.vidmar@pei.si.

Current themes of research:

Teacher’s social and emotional competence, early school leaving, impact of early childhood education and care on child/adolescent development (social competence and behaviour problems)

Most relevant recent publications of Maša Vidmar in the field of Psychology of Education:

Vidmar, M. (2015). Contextualising ECEC research: the case of Slovenia. International Journal of Early Years Education, 23(3), 313–328.

Vidmar, M. (2013). Napoved učne uspešnosti romskih učencev [The prediction of academic success of Roma pupils]. In: T. Vonta & J. Jager (eds.), Uspešnost romskih učencev v slovenskih osnovnih šolah [Success of Roma pupils in Slovenian schools], p. 167–172. Ljubljana: Pedagoški inštitut.

Pucelj, V. & Vidmar, M. (2012). Trendi v odnosu do šole [Trends in attitudes toward school]. In: H. Jeriček Klanšček et al. (eds.), Spremembe v vedenjih, povezanih z zdravjem mladostnikov v Sloveniji v obdobju 2002–2010 [Trends in Health Behaviour in School-aged Children (HBSC) study in Slovenia in the period 2002–2010], p. 56–66. Ljubljana: Inštitut za varovanje zdravja.

Vidmar, M. (2012). PISA 2009: bralna pismenost pri slovenskih gimnazijcih [PISA 2009: Reading literacy in Slovene gimnazija students]. Šolsko polje [School Field], 23(3–4), 159–177.

Frank Niklas is a developmental and educational psychologist. He works as a post doc researcher at the University of Würzburg. His research interests concern how children learn in the context of families (Home Learning Environment). He is also interested in the development of mathematical and linguistic competencies during early childhood. Email: niklas@psychologie.uni-wuerzburg.de

Current themes of research:

Home learning environment, impact of early childhood education and care on child development (room composition and quality)

Most relevant recent publications of Frank Niklas in the field of Psychology of Education:

Hildenbrand, C., Niklas, F., Cohrssen, C. & Tayler, C. (in press). Children's mathematical and verbal competencies in different early education and care settings in Australia. Journal of Early Childhood Research. doi: http://dx.doi.org/10.1177/1476718X15582096

Niklas, F. (2015). Die familiäre Lernumwelt und ihre Bedeutung für die kindliche Kompetenzentwicklung [The learning environment provided by the family and its impact on the development of child competencies]. Psychologie in Erziehung und Unterricht, 62, 106–120. doi: http://dx.doi.org/10.2378/peu2015.art11d

Niklas, F. & Schneider, W. (2015). With a little help: improving kindergarten children’s vocabulary by enhancing the home literacy environment. Reading and Writing: An Interdisciplinary Journal, 28(4), 491–508. doi: http://dx.doi.org/10.1007/s11145-014-9534-z

Niklas, F., Tayler, C., & Schneider, W. (2015). Home-based literacy activities and children's cognitive outcomes: A comparison between Australia and Germany. International Journal of Educational Research, 71, 75–85. doi: http://dx.doi.org/10.1016/j.ijer.2015.04.001

Wolfgang Schneider is Professor of Developmental and Educational Psychology at the University of Würzburg and Fellow of the International Academy of Education. His research interests concern the development of memory and metacognition, precursors of reading and spelling, dyslexia and dyscalculia, as well as expertise and giftedness. Email: schneider@psychologie.uni-wuerzburg.de

Current themes of research:

Development of memory and metacognition

Most relevant recent publications of Wolfgang Schneider in the field of Psychology of Education:

Schneider, W. (2015). Memory development from early childhood through emerging adulthood. New York: Springer.

Schneider, W. & Berger, N. (2012). Why phonological awareness is causally important in the acquisition of reading and spelling. In S. Suggate & E. Reese (Eds.), Contemporary debates in early childhood (pp. 216– 226). London: Routledge.

Linden, N. von der, Schneider, W. & Roebers, C. (2011). The effects of summary production and encoding condition on children's metacognitive monitoring. Metacognition and Learning, 6, 3–23.

Schneider, W. & Artelt, C. (2010). Metacognition and mathematics education. ZDM International Journal of Mathematics Education, 42, 149–161.

Prof. Dr. Marcus Hasselhorn. German Institute for International Educational Research, Centre for Research on Education and Human Development and Centre for Research on Individual Development and Adaptive Education of Children at Risk (IDeA). Email: hasselhorn@dipf.de.

Current themes of research:

Learning disabilities, working memory, early education, individual preconditions of successful learning

Most relevant publications in the field of Psychology of Education:

Brandenburg, J., Klesczewski, J., Fischbach, A., Schuchardt, K., Büttner, G., & Hasselhorn, M. (2014). Working memory in children with learning disabilities in reading versus spelling: searching for overlapping and specific cognitive factors. Journal of Learning Disabilities. Online first: doi: 10.1177/0022219414521665

Ehm, J.H., Lindberg, S., & Hasselhorn, M. (2014). Reading, writing, and math self-concept in elementary school children: influence of dimensional comparison processes. European Journal of Psychology of Education, 29, 277–294. doi: 10.1007/s10212-013-0198-x

Lehmann, M., & Hasselhorn, M. (2010). The dynamics of free recall and their relation to rehearsal between 8 and 10 years of age. Child Development, 81, 1006–1020. doi: 10.1111/j.1467-8624.2010.01448.x

Preßler, A.-L., Könen, T., Hasselhorn, M., & Krajewski, K. (2014). Cognitive preconditions of early reading and spelling: a latent-variable approach with longitudinal data. Reading and Writing, 27, 383–406. doi: 10.1007/s11145-013-9449-0

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Vidmar, M., Niklas, F., Schneider, W. et al. On-entry assessment of school competencies and academic achievement: a comparison between Slovenia and Germany. Eur J Psychol Educ 32, 311–331 (2017). https://doi.org/10.1007/s10212-016-0294-9

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