I agree with Chris (and others) on this: even if there are problems with 
NHSTing, it's still the standard in the literature and any student going on to 
grad study would be at a terrible disadvantage in not being familiar with it.  
It's one thing to explain it and point out its limitations; it's an entirely 
different thing to not teach it at all.

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts & Sciences
Baker University
--
From: Christopher Green [mailto:[email protected]]
Sent: Monday, February 20, 2012 5:24 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Quickie Poll On How to Teach Undergraduate Statistics










No. NHST is problematic, to be sure, but a student who takes a stats course in 
a psych dept and doesn't come out understanding NHST will be unable to read and 
understand the psychological research literature as it currently exists. If 
NHST causes confusion, then it is up to the textbook writer and teacher to 
clarify it. Trying to ignore it is counterproductive. Even if one thinks that 
NHST should be completely eliminated from psychological research (and, 
personally, I'm with the Wilkinson Report that NHST is not actually useless, it 
is just too-heavily relied on to answer questions it can't answer), one must 
know one's opponents (better than even its advocates do).

Chris
---
Christopher D. Green
Department of Psychology
York University
Toronto, ON M3J 1P3
Canada

[email protected]<mailto:[email protected]>
http://www.yorku.ca/christo/
==========================



On 2012-02-20, at 11:13 AM, Michael Palij wrote:


Okay, I beg your indulgence and participation in an unscientific poll where
you can either post your response to the TiPS list (for discussion) or
email your response directly to me.  I am finishing a book review
on an undergraduate statistics textbook that (a) attempts to eliminate
all null hypothesis signitifcance testing (NHST) in favor of focusing
on effect sizes (ES), confidence intervals (CI), and (old fashioned)
meta-analysis
and (b) encourages research on "statistical cognition" which, according
to the author, shows that teaching NHST causes greater confusion
in students than an ES/CI approach
.
Given that limited description, I'm going to make this into a
2-alternative forced choice question:

Would you use such a textbook as the main textbook in
the first/introductory statistics in psychology course?

[    [  Yes
[    ]  No

Comments?

If you care to, you might comment on whether current intro stat
textbooks do an adequate job of covering issues such as effect
sizes and confidence intervals (these days I use some version
of Gravetter and Wallnau which, in my opinion, do an adequate
job introducing the topics which I assume lay the foundation for
a more advanced undergraduate course in statistical methods).

Thanks in advance for your cooperation.

-Mike Palij
New York University
[email protected]<mailto:[email protected]>

P.S. And, no, this not about procrastinating on finishing the book
review. Well, mostly it's not. ;-)

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