id: 06503011
dt: a
an: 2015f.00295
au: Cai, Jinfa; Hwang, Stephen; Middleton, James A.
ti: The role of large-scale studies in mathematics education.
so: Middleton, James A. (ed.) et al., Large-scale studies in mathematics
education. Cham: Springer (ISBN 978-3-319-07715-4/hbk;
978-3-319-07716-1/ebook). Research in Mathematics Education, 405-415
(2015).
py: 2015
pu: Cham: Springer
la: EN
cc: D20
ut: large-scale studies
ci:
li: doi:10.1007/978-3-319-07716-1_18
ab: Summary: The goal for this monograph has been to present the state of the
art in large-scale studies in mathematics education. Although the
chapters collected here are not intended to be a comprehensive
compendium of such research, this selection of work does serve both to
represent large-scale studies in the field of mathematics education and
to raise awareness of the issues that arise in conducting such studies.
As can be seen from the studies included in this volume, the term
“large-scale study" can cover a wide variety of research endeavors.
Indeed, as we indicated in the introductory chapter, the IES and NSF
Common Guidelines recognize many different types of research, and
large-scale studies can fall into more than one of these categories.
The different types of research have correspondingly different purposes
which require different sample sizes and methods of analysis. Moreover,
the findings from different types of research have different degrees of
generalizability. Despite these many differences, there are common
features that large-scale studies share. For example, large-scale
studies require large sample sizes, although exactly how large
“large" depends on the design of the study. In contrast to
small-scale studies, large-scale studies usually employ complex
statistical analysis and have the potential to produce more readily
generalizable results than small-scale studies.
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