Reliability Generalization Meta-Analyses in Mathematics Education Research: A Research Synthesis

Artigo2021

Ashley M. Williams ORCID; Jamaal Young ORCID

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Resumo

The purpose of this systematic review was to characterize the implementation of reliability generalization meta-analytic (RGM) practices within mathematics education-related empirical research. RGM studies are used to investigate and generalize the reliability of a measure across various studies. An exhaustive literature search was conducted to locate studies related to mathematics education, including RGM studies of psychological tests. The literature search included articles as well as grey literature (e.g., conference proceedings, dissertations, theses). Of the 27 RGM studies examined, five were on scales that related to mathematics education research, five were on scales related to motivation and/or learning, four related to self-esteem, self-concept, and/or self-efficacy, six related to perceptions, well-being, and/or anxiety, and seven related to personality or behavior. Of the mathematics education-related RGM studies, 85.5% (N=9,184) of the articles examined across studies had no mention of reliability or fell into the convention of citing previously reported reliabilities. Increasing awareness of RGM studies could lead to an increase in RGM studies conducted on mathematics education research scales, leading to increased understanding of mathematics education scales. This paper contributes to the literature on the practical and empirical importance of RGM for mathematics and STEM education praxis.

Dados da obra

Tipo
Artigo
Periódico
International Journal of Education in Mathematics, v. 9, n. 4, p. 741-759
Ano
2021 (2021-10-02)
Idioma
en
Palavras-chave
Generalization; Meta Analysis; Mathematics Education; Research Reports; Well Being; Self Esteem; Self Concept; Anxiety; Psychological Testing; Personality Traits; Behavior Patterns; Reliability; Elementary Secondary Education; Higher Education; reliability generalization; mathematics education research; scale reliability; psychological tests; motivation scale; self-efficacy scale; self-concept; anxiety scale; well-being scale; personality scales; reporting practices
DOI
10.46328/ijemst.1434
ISSN
EISSN-2147-611X, 2147-611X
Licença
cc-by-nc
Acesso
Download disponível
Fontes
ERIC — Education Resources Information Center; OpenAlex
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
WILLIAMS, Ashley M.; YOUNG, Jamaal. Reliability Generalization Meta-Analyses in Mathematics Education Research: A Research Synthesis. International Journal of Education in Mathematics, v. 9, n. 4, p. 741-759, 2021. DOI: https://doi.org/10.46328/ijemst.1434.

APA

Williams, A. M., & Young, J. (2021). Reliability Generalization Meta-Analyses in Mathematics Education Research: A Research Synthesis. International Journal of Education in Mathematics, 9(4), 741-759. https://doi.org/10.46328/ijemst.1434

BibTeX
@article{williams2021,
  author = {Williams, Ashley M. and Young, Jamaal},
  title = {Reliability Generalization Meta-Analyses in Mathematics Education Research: A Research Synthesis},
  year = {2021},
  journal = {International Journal of Education in Mathematics},
  volume = {9},
  number = {4},
  pages = {741-759},
  doi = {10.46328/ijemst.1434},
  language = {en}
}
RIS
TY  - JOUR
AU  - Williams, Ashley M.
AU  - Young, Jamaal
TI  - Reliability Generalization Meta-Analyses in Mathematics Education Research: A Research Synthesis
PY  - 2021
JO  - International Journal of Education in Mathematics
VL  - 9
IS  - 4
SP  - 741
EP  - 759
DO  - 10.46328/ijemst.1434
LA  - en
ER  - 

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS

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