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Teaching Statistics in Psychology

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Teaching Statistics in Psychology Martin Le Voi Statistics is hard to understand At least for psychologists Many psychology departments struggle with explaining it ... – PowerPoint PPT presentation

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Title: Teaching Statistics in Psychology


1
Teaching Statistics in Psychology
  • Martin Le Voi

2
Statistics is hard to understand
  • At least for psychologists
  • Many psychology departments struggle with
    explaining it
  • Students struggle
  • Every lecturer has a pet way of teaching
  • Is the problem with one-size-fits-all

3
How do you understand the mean
  • The central tendency of a group of numbers
  • The expected value of a random variable
  • As an equation

4
In pictures?
5
As a simulation?
6
As a song?!!
  • http//resources4statistics.typepad.com/blog/2010/
    03/mean-median-and-mode-song.html

7
Students learn in different ways
  • Well, they claim some things are easier than
    others
  • Some text books are easier than others
  • And it never seems unanimous
  • Certainly some concepts can be explained in
    different ways

8
The Matching Hypothesis
  • If you teach a student in concordance with their
    learning style, learning will be optimised
  • But what is Learning Style?
  • And how do you teach to it?
  • Masser Mayer (2006). ATI hypothesis fails!

9
The ATI Hypothesis
  • Masser Mayer (2006).
  • Visual student, visual instruction GOOD
  • Visual Student, verbal instruction BAD
  • Verbal student, visual instruction BAD
  • Verbal Student, verbal instruction GOOD
  • Fails

10
Dodge the problem!
  • Find and evaluate existing OERs for teaching
    statistics
  • Classify by teaching approach
  • Invite students to self-assess by sampling
    quality materials in different approaches
  • Automate the process!

11
Search for psychometrically valid learning style
assessment
  • Mayer Masser 2003
  • Factor Analysed 14 measures together
  • Best are
  • MLPQ Cronbachs alpha 0.8
  • Loads 0.979/0.541 on Learning Preference factor
  • VVLS loads 0.831 on Cognitive Style factor
  • Coded both into OpenLearn (demo)

12
Finding resources the problem
  • http//psych.hanover.edu/aps/teaching.htmlstatist
    ics
  • http//it.stlawu.edu/rlock/tise98/onepage.html
  • http//www.stat.duke.edu/sites/java.html
  • Problem of evaluation
  • Merlot http//www.merlot.org/

13
Merlot
  • Merlot has a systematic peer review system
  • http//www.merlot.org/
  • Peer review example (file)
  • Clear winner for Visualisation teaching
  • http//www.seeingstatistics.com/

14
OpenLearn courses in development
  • Learning Statistics by visualisation
  • Learning Statistics by graphics (maybe too
    similar to 1)
  • Learning Statistics by algebra and text
  • Not in OpenLearn
  • Learning Statistics the non-linear approach (to
    be prepared in Prezi http//prezi.com/)
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