Cognitive transfer outcomes for a simulationbased introductory statistics curriculum

Matthew D. Beckman, Robert C. Delmas, Joan Garfield

Research output: Contribution to journalArticle

Abstract

Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST curriculum, which exclusively used simulation-based methods to develop foundations of statistical inference. A common assessment instrument administered at the end of each course measured learning outcomes for students. CATALST students showed evidence of both near and far transfer outcomes while scoring as high, or higher than, on the assessed learning objectives when compared with peers enrolled in similar courses that emphasized parametric inferential methods (e.g., the t-test).

Original languageEnglish (US)
Pages (from-to)419-440
Number of pages22
JournalStatistics Education Research Journal
Volume16
Issue number2
StatePublished - Nov 1 2017

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statistics
Statistics
curriculum
t-test
learning objective
Statistical Inference
Scoring
student
simulation
Evaluate
ability
learning
evidence
Curriculum
Simulation
Learning
Context
Knowledge
Evidence
Skills

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Education

Cite this

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Cognitive transfer outcomes for a simulationbased introductory statistics curriculum. / Beckman, Matthew D.; Delmas, Robert C.; Garfield, Joan.

In: Statistics Education Research Journal, Vol. 16, No. 2, 01.11.2017, p. 419-440.

Research output: Contribution to journalArticle

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