id: 06292508
dt: j
an: 2014c.00850
au: Park, Jiyoon
ti: Designing an assessment to measure studentsâ€™ inferential reasoning in
statistics: the first study, development of a test blueprint.
so: J. Korean Soc. Math. Educ., Ser. D, Res. Math. Educ. 17, No. 4, 243-266
(2013).
py: 2013
pu: Korean Society of Mathematical Education (KSME), Seoul
la: EN
cc: K70 D60 D20
ut: statistical inference; inferential reasoning in statistics; informal
inference; formal inference
ci:
li: doi:10.7468/jksmed.2013.17.4.243
ab: Summary: Accompanied with ongoing calls for reform in the statistics
curriculum, mathematics and statistics teachers purposefully reconsider
the curriculum and the content taught in statistics classes. Changes
are centered around statistical inference since teachers recognize that
students struggle with understanding the ideas and concepts used in
statistical reasoning. Despite the efforts to change the curriculum,
studies are sparse on the topic of characterizing student learning and
understanding of statistical inference. Moreover, there are no tools to
evaluate studentsâ€™ statistical reasoning in a coherent way. In
response to the need for a research instrument, in a series of research
study, the researcher developed a reliable and valid measure to assess
studentsâ€™ inferential reasoning in statistics (IRS). This paper
describes processes of test blueprint development that has been
conducted from review of the literature and expert reviews.
rv: