Question about stats in intro texts

2004-06-26 Thread Drnanjo



Colleagues:
 
Some introductory psychology textbooks include a pretty detailed 
explanation of descriptive and inferential statistics in the chapter 
devoted to research methods (others may include it but place it in the 
appendix). I never teach this material, as I am of the opinion that usually 
there is too much information, we are about to start learning about biopsych (so 
I am concerned about overwhelming them and it's a matter of priority) and 
frankly I am not sure that teaching mean, median and mode to students is really 
necessary for their appreciation of the research studies covered in the 
course.
 
I would like to know if anyone does anything to actually teach this 
material in introductory psychology (as opposed to telling the students to read 
the material and know it, without actually covering it in class.)
 
I think it's usually excessive to include it as anything but optional 
appendix material but I want to compare my views with those of others.
 
Nancy Melucci
Long Beach City College
Long Beach CA
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Re: Question about stats in intro texts

2004-06-26 Thread David Campbell




In my experience, college freshmen are already familiar with most of
descriptive statistics (central tendency, frequency distributions,
scatterplots) by the time they reach college, so I only mention these
in brief.  I can quickly explain standard deviation as something like
an "average" distance from the mean, and the correlation correficient
is understandable using corresponding plots.  As for inferential
statistics, I think this is too important a topic to completely skip. 
The basic idea isn't so tough and I present it in about 5 minutes.  I
start with class data on frequency of crying (large male-female
difference here).  I describe the two interpretations for our gender
difference (male and female college students differ in crying frequency
vs. they don't and our class data represent chance sampling error). 
Then I point out that we scientists are conservative and unwilling to
say our sample data represent a "real" difference unless we can rule
out the chance explanation.  I tell them that in intro statistics, they
will learn ways to calculate the likelihood that the chance explanation
is correct (and if it turns out to be quite unlikely, say 

Five minutes is enough.  They don't need to know about calculations,
but a general understanding of the logic in inferential statistics
should help them later.  It also coincides nicely with our emphasis on
critical thinking in dealing with research findings.

--Dave

[EMAIL PROTECTED] wrote:

  
  
  
  Colleagues:
   
  Some introductory psychology textbooks include a pretty detailed
explanation of descriptive and inferential statistics in the chapter
devoted to research methods (others may include it but place it in the
appendix). I never teach this material, as I am of the opinion that
usually there is too much information, we are about to start learning
about biopsych (so I am concerned about overwhelming them and it's a
matter of priority) and frankly I am not sure that teaching mean,
median and mode to students is really necessary for their appreciation
of the research studies covered in the course.
  






-- 



-- 
___ 

David E. Campbell, Ph.D.    [EMAIL PROTECTED]

Department of Psychology    Phone:
707-826-3721 
Humboldt State University   FAX:  
707-826-4993 
Arcata, CA 
95521-8299  www.humboldt.edu/~campbell/psyc.htm



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Re: Question about stats in intro texts

2004-06-26 Thread Karl L. Wuensch



I tell them that in intro statistics, they will 
learn ways to calculate the likelihood that the chance explanation is correct 
(and if it turns out to be quite unlikely, say  
Really, at Humboldt the Psyc students 
learn Bayesian inference?  Might you really mean the likelihood of 
getting data as unsual as these (due to sampling error) were the null 
true?
 
Most folks stick to the traditional p that is used by 
almost all psych researchers, that is, P(data | H0), the probability of 
getting data as unusual as those obtained assuming the null is true, not P(H0 | 
data), the probability that the null is true given the 
data.  

  - Original Message - 
  From: 
  David Campbell 
  
  To: Teaching in the Psychological 
  Sciences 
  Sent: Saturday, June 26, 2004 4:23 
  PM
  Subject: Re: Question about stats in 
  intro texts
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Re: Question about stats in intro texts

2004-06-27 Thread David Campbell




In fact, I usually use words similar to what you provided below, Karl. 
But this level of precision is lost on the students.  I can only hope
that they retain a general understanding that there are two ways to
explain the findings and we need to rule out the chance explanation (by
finding it an unlikely fit for the data).  Too much reference to
concepts like sampling distribution, standard error, and null
hypothesis--and you can be assured that the first-year (just out of
high school) undergraduates would be totally confused.
--Dave

Karl L. Wuensch wrote:

  
  
  
  
  I tell them that in intro statistics, they
will learn ways to calculate the likelihood that the chance explanation
is correct (and if it turns out to be quite unlikely, say 
   
  Really, at Humboldt the Psyc students
learn Bayesian inference?  Might you really mean the likelihood of
getting data as unsual as these (due to sampling error) were the null
true?
   
  Most folks stick to the traditional p that is
used by almost all psych researchers, that is, P(data | H0), the
probability of getting data as unusual as those obtained assuming the
null is true, not P(H0 | data), the probability that the null is true
given the data.  
  
-
Original Message - 
From:
David
Campbell 
To:
Teaching in the Psychological
Sciences 
Sent:
Saturday, June 26, 2004 4:23 PM
Subject:
Re: Question about stats in intro texts

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-- 
___ 

David E. Campbell, Ph.D.    [EMAIL PROTECTED]

Department of Psychology    Phone:
707-826-3721 
Humboldt State University   FAX:  
707-826-4993 
Arcata, CA 
95521-8299  www.humboldt.edu/~campbell/psyc.htm



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