Several comments, because I'm very interested in this subject and know it will 
be easy to burn my 3 posts today. 

Our department has recently ended its longstanding two-semester Research 
Methods (integrated stats) I and II sequence which followed the student taking 
a Math Stats course. We are going forward with a 200 level research methods 
course followed by a 300 level statistics course. We will encourage, but not 
require the Math stats course. The reason was practical, students were getting 
held up by the sequence prolonging time to graduation and the increasing number 
of transfer students were particularly put to test by the sequence.

I don't know what I want my ideal world to be for this. When I came here I was 
very enamored with the idea of the 2 course integrated sequence. But, then I 
taught it and found that the books available to teach that way were not 
terribly good (The Heiman text being the best organized for this purpose and it 
has problems) and students found the courses overwhelming because of the 
several different things that were being juggled simultaneously. There are good 
arguments for virtually any way you want to arrange the courses. I know that 
with the current approach we are implementing (Basic methods followed by 
statistical techniques), I would love there to be an advanced research course 
required that was focused in particular areas (Social, Developmental, 
Cognitive, Physiological, Clinical), but staffing is a significant issue for 
instituting such an approach and returns the students to a 1.5 semester long 
sequence that must be scheduled and accomplished. 

Co-requisiting the methods and stats courses such that a student must take both 
courses simultaneously with a high degree of coordination between the two 
classes. The issue there is that there will inevitably be students who withdraw 
or fail one of the two courses needing to repeat only one. That means the 
desired dialog between the courses is lost for those students. 

****
Excel, SPSS, Minitab... R? In our new course, we intend to introduce students 
to using SPSS for statistics. I've always had students do at least some of 
their work in SPSS, just so they are acquainted with the environment and how to 
work with the program. The past two semesters I've had them work with Excel 
initially, then gone to SPSS for the last few weeks. I think that Excel 
exposure is very useful and important because it is a tool they are likely to 
be expected to have familiarity with, or at least will give them a leg-up 
interviewing for many jobs. SPSS, however, is used more and more in commercial 
settings and having some history with it can be helpful for many students. I've 
never used Minitab, but since it is not often used outside of teaching (from 
what I can tell), that means teaching a tool that students will rarely 
encounter again. 

When I hear R proposed for undergraduates I have to snicker. There are a lot of 
R true believers out there. IMO, they are like Unix true believers and so 
forth. They seem to believe that the essential great thing for R is that it is 
free (you'll note you rarely hear them suggest that you should teach S to 
students, even though R is essentially a back-engineered version of S with the 
same commands and analysis methods, output, input methods, etc.). It is a 
programming language the way SPSS was before they developed a dialog-box based 
interface for it in Windows, but more difficult than SPSS was. If I were 
teaching statistics to engineering students, I would teach using R. Engineering 
students are expected to know how to program a computer. Psychology students 
are not expected to know how to program a computer. Psychology students will 
not gain skills that they have much likelihood of needing in any of their most 
likely jobs. Don't get me wrong, I like R and have been learning it over the 
past couple of years, but I would never teach undergraduate psychology students 
with that program. 

Paul Bernhardt
Dept of Psychology
Frostburg State University
pcbernhardt _at_ frostburg _dot_ edu


On Apr 15, 2010, at 9:08 AM, John Kulig wrote:

> 
> Marie et al
> 
> Not that I want to pitch MINITAB commercially, but I am always amazed at 
> preconceptions. MINITAB has cronbach's alpha & factor analysis under 
> Multivariate stats, multiple R, binary ordinal & logistic regressions under 
> Regression, all anova options, etc. I would find it amazing if the go-to stat 
> package for statisticians would not have these common procedures. But I 
> understand that the majority of psychologists choose SPSS first. A few years 
> back our IT people pushed for more MINITAB and the psych depart and a few 
> others fought to keep SPSS on the network, though the arguments did not 
> revolve around specific procedures that were used, just personal preference. 
> I always joked that MINITAB's only fault was the name. It might be better 
> called MAXITAB or POWERTAB or something like that.
> 
> ==========================
> John W. Kulig 
> Professor of Psychology 
> Plymouth State University 
> Plymouth NH 03264 
> ====================================================================
> GALILEO GALILEI:
> I do not feel obligated to believe that the same God who has endowed us with 
> sense, reasons, and intellect has intended us to forgo their use.
> ====================================================================
> 
> 
> ----- Original Message -----
> From: "Marie Helweg-Larsen" <[email protected]>
> To: "Teaching in the Psychological Sciences (TIPS)" 
> <[email protected]>
> Sent: Thursday, April 15, 2010 8:50:42 AM
> Subject: RE: [tips] Best Methods, Stats, and Stats Lab Instructive Material
> 
> We require SPSS to be taught in our psychology stats course for several 
> reasons (in no particular order):
> -the basic stats class is a prerequisite for the 2 required advanced research 
> methods courses in which they will use SPSS
> -it is the program that faculty use in their own research and students who 
> work in faculty labs will use SPSS
> -some other programs (excel, mini tab, etc) do not calculate all needed stats 
> such as Cronbach's alpha, multiple regression, factor analysis, mixed 
> designs, etc. It is best (in our view) to teach one package that will meet 
> all stats needs.
> -half of our majors go to graduate school where they will most likely need 
> SPSS. Even if fewer of our majors went to graduate school we still need to 
> teach them SPSS. It makes sense to teach them in our courses. 
> -many of the students who do not go on to graduate school work in a variety 
> of settings in which they need to use SPSS (consultants, research assistants, 
> lab managers, science assistants, etc.). 
> 
> Marie
> 
> 
> 
> ****************************************************
> Marie Helweg-Larsen, Ph.D.
> Department Chair and Associate Professor of Psychology
> Kaufman 168, Dickinson College
> Carlisle, PA 17013, office (717) 245-1562, fax (717) 245-1971
> Office hours: Mon & Wed 2-3:30
> http://users.dickinson.edu/~helwegm/index.html
> ****************************************************
> 
> 
> -----Original Message-----
> From: Dr. Bob Wildblood [mailto:[email protected]] 
> Sent: Wednesday, April 14, 2010 9:38 PM
> To: Teaching in the Psychological Sciences (TIPS)
> Subject: Re: [tips] Best Methods, Stats, and Stats Lab Instructive Material
> 
> A couple of folks have commented on using SPSS in their statistics courses, 
> and that causes me to ask "what is the rationale for using SPSS in 
> undergraduate statistics when the vast majority of our students will never 
> again use SPSS unless they are employed in a research situation at a 
> university or an agency that does a great deal of number crunching as part of 
> their research?" 
> 
> ---- Original message ----
>> Date: Wed, 14 Apr 2010 18:10:59 +0000 (UTC)
>> From: [email protected]  
>> Subject: Re: [tips] Best Methods, Stats, and Stats Lab Instructive Material  
>> To: "Teaching in the Psychological Sciences (TIPS)" 
>> <[email protected]>
>> 
>> 
>> 
>>  To teach SPSS in Stats lab, I have been using "SPSS
>>  for Windows Step by Step" and I've been generally
>>  satisfied with it. However, given all of the
>>  resources available on the web, I am thinking of not
>>  using a book for this portion of the course.
>> 
>> 
>> 
>>  Miguel
>> 
>>  ---
>> 
>>  You are currently subscribed to tips as:
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>                                       
> .
> Robert W. Wildblood, PhD
> Riverside Counseling Center and
> Adjunct Psychology Faculty @
> Germanna Community College
> [email protected]        
> 
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Paul Bernhardt
Dept of Psychology
Frostburg State University
pcbernhardt _at_ frostburg _dot_ edu




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