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The interplay of g and mathematical abilities in large-scale assessments across grades

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  • Saß, Steffani
  • Kampa, Nele
  • Köller, Olaf

Abstract

This study investigates the interplay between general cognitive abilities and domain-specific mathematical ability by applying three different models. The first model is a g factor model, the second model reflects two correlated factors, and the third model is a nested-factor model that comprises a g factor, a domain-specific mathematical factor and cognitive ability. Furthermore, we analyzed the relation between student characteristics such as self-concept in mathematics, gender, SES, and grade in mathematics. Using data from six different German LSAs of the three cohorts, Grade 5, 9 and 13 (sample sizes range from NGrade5=730 to NGrade9=3893), and two different frameworks (i.e., literacy and curricular), we confirmed that LSAs do test mathematical ability beyond g. The two cognitive factors correlated differently with the student characteristics considered; this calls for future longitudinal approaches to the issue.

Suggested Citation

  • Saß, Steffani & Kampa, Nele & Köller, Olaf, 2017. "The interplay of g and mathematical abilities in large-scale assessments across grades," Intelligence, Elsevier, vol. 63(C), pages 33-44.
  • Handle: RePEc:eee:intell:v:63:y:2017:i:c:p:33-44
    DOI: 10.1016/j.intell.2017.05.001
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    1. William H. Schmidt & Pablo Zoido & Leland S. Cogan, 2014. "Schooling Matters: Opportunity to Learn in PISA 2012," OECD Education Working Papers 95, OECD Publishing.
    2. Ganzeboom, H.B.G. & de Graaf, P.M. & Treiman, D.J. & de Leeuw, J., 1992. "A standard international socio-economic index of occupational status," WORC Paper 92.01.001/1, Tilburg University, Work and Organization Research Centre.
    3. Margaret Wu, 2010. "Comparing the Similarities and Differences of PISA 2003 and TIMSS," OECD Education Working Papers 32, OECD Publishing.
    4. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    5. Morris S.Y. Jong & Junjie Shang & Fong-Lok Lee & Jimmy H.M. Lee, 2008. "Harnessing Computer Games in Education," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 3(3), pages 54-61, July.
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    Cited by:

    1. Kampa, Nele & Scherer, Ronny & Saß, Steffani & Schipolowski, Stefan, 2021. "The relation between science achievement and general cognitive abilities in large-scale assessments," Intelligence, Elsevier, vol. 86(C).
    2. Pokropek, Artur & Marks, Gary N. & Borgonovi, Francesca & Koc, Piotr & Greiff, Samuel, 2022. "General or specific abilities? Evidence from 33 countries participating in the PISA assessments," Intelligence, Elsevier, vol. 92(C).
    3. Saß, Steffani & Schütte, Kerstin & Kampa, Nele & Köller, Olaf, 2021. "Continuous time models support the reciprocal relations between academic achievement and fluid intelligence over the course of a school year," Intelligence, Elsevier, vol. 87(C).
    4. Kolachev, Nikita & Kovaleva, Galina, 2023. "General intelligence in middle school students from different Russian regions: Results of PISA-like tests," Intelligence, Elsevier, vol. 98(C).

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