RE: [tips] Polling...

2013-04-24 Thread Tim Shearon

Y'all
So which is it? Interocular or intraocular. I find the infamous IOTT described 
all over the internet as both interocular AND intraocular. I've always 
understood intraocular based on, for example, intraocular surgery or 
intraocular injection- i.e., into the eye. Interocular as between or within the 
eye (medical definition)-  For example, the interocular distance is the 
distance between the eyes. Or am I incorrect/misremembering? Since the 
Inter/intra Ocular Trauma Test is referring to an effect so obvious it hits 
you between the eyes . . . I'm confused. And I checked several statistical 
sites that, yep, say it both ways (not on the same site!). :) I'll be happy to 
be wrong (again!). I took three different science knowledge tests today and 
haven't missed one as yet so I'll still have had a good day if I missed just 
one! My students will be happy too as I share with them when I discover a 
mistake I've been making -(and my rule is corrected mistakes are to be 
celebrated so they get chocolate!). 
Tim
___
Timothy O. Shearon, PhD
Professor, Department of Psychology
The College of Idaho
Caldwell, ID 83605
email: tshea...@collegeofidaho.edu

teaching: intro to neuropsychology; psychopharmacology; general; history and 
systems

You can't teach an old dogma new tricks. Dorothy Parker

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Re: [tips] Polling...

2013-04-24 Thread Christopher Green
Wouldn't intraocular be WITHIN the eye, and interocular be BETWEEN the eyes? It 
should be the second, I think.
Chris
...
Christopher D Green
Department of Psychology
York University
Toronto, ON M6C 1G4

chri...@yorku.ca
http://www.yorku.ca/christo

On 2013-04-24, at 3:04 AM, Tim Shearon tshea...@collegeofidaho.edu wrote:

 
 Y'all
 So which is it? Interocular or intraocular. I find the infamous IOTT 
 described all over the internet as both interocular AND intraocular. I've 
 always understood intraocular based on, for example, intraocular surgery or 
 intraocular injection- i.e., into the eye. Interocular as between or within 
 the eye (medical definition)-  For example, the interocular distance is the 
 distance between the eyes. Or am I incorrect/misremembering? Since the 
 Inter/intra Ocular Trauma Test is referring to an effect so obvious it hits 
 you between the eyes . . . I'm confused. And I checked several statistical 
 sites that, yep, say it both ways (not on the same site!). :) I'll be happy 
 to be wrong (again!). I took three different science knowledge tests today 
 and haven't missed one as yet so I'll still have had a good day if I missed 
 just one! My students will be happy too as I share with them when I discover 
 a mistake I've been making -(and my rule is corrected mistakes are to be 
 celebrated so they get chocolate!). 
 Tim
 ___
 Timothy O. Shearon, PhD
 Professor, Department of Psychology
 The College of Idaho
 Caldwell, ID 83605
 email: tshea...@collegeofidaho.edu
 
 teaching: intro to neuropsychology; psychopharmacology; general; history and 
 systems
 
 You can't teach an old dogma new tricks. Dorothy Parker
 
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Re: [tips] Polling...

2013-04-23 Thread Claudia Stanny
On the lighter side, one of my statistics professors liked to talk about
the inter-ocular effect:  An effect so big it hit you right between the
eyes (and the statistical analysis was a matter of confirming the obvious).

:-)

Claudia

_

Claudia J. Stanny, Ph.D.
Director
Center for University Teaching, Learning, and Assessment
Associate Professor
NSF UWF Faculty ADVANCE Scholar
School of Psychological and Behavioral Sciences
University of West Florida
11000 University Parkway
Pensacola, FL  32514 – 5751

Phone:   (850) 857-6355 (direct) or  473-7435 (CUTLA)

csta...@uwf.edu

CUTLA Web Site: http://uwf.edu/cutla/
Personal Web Pages: http://uwf.edu/cstanny/website/index.htm

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RE: [tips] Polling...

2013-04-23 Thread Stuart McKelvie
Dear Tipsters,

Continuing on Claudia's lighter side, whenever we consider results in the 
research methods course (either from an article or one of our projects), I 
always ask the class to say what their eyeballs are telling them. Then we look 
at the stats to see if the eyeballs are correct or not.

Ocularity is a great teaching technique!

Sincerely,

Stuart


___
   Floreat Labore

   [cid:image001.jpg@01CE4010.C71BB7E0]
Recti cultus pectora roborant

Stuart J. McKelvie, Ph.D., Phone: 819 822 9600 x 2402
Department of Psychology, Fax: 819 822 9661
Bishop's University,
2600 rue College,
Sherbrooke,
Québec J1M 1Z7,
Canada.

E-mail: stuart.mckel...@ubishops.camailto:stuart.mckel...@ubishops.ca (or 
smcke...@ubishops.camailto:smcke...@ubishops.ca)

Bishop's University Psychology Department Web Page:
http://www.ubishops.ca/ccc/div/soc/psyblocked::http://www.ubishops.ca/ccc/div/soc/psy

 Floreat Labore

 [cid:image002.jpg@01CE4010.C71BB7E0]

[cid:image003.jpg@01CE4010.C71BB7E0]
___





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Re: [tips] Polling...

2013-04-23 Thread John Kulig









I agree with the eyeball method and it fits a distinction I always make between the context of discovery and a context of justification. Most researchers (some tipster might want to say "some researchers") discover based on the eyeball, playing with data sans "rules" as well as prior data, insightful hunches etc etc .. it's probably a long list. Then we must justify to others and that's when we pull out all the statistical expertise, and thank goodness as so much is discovered through serendipity and chance and just plain curiosity. Though, nearly all of us have a big enough statistical super-ego to double and triple check assumptions, procedures etc while in the "justification" phase. And on a few occasions I was discouraged from a hypothesis I _knew_ was correct by those darned p values once properly figured, so they can be very useful helping us give up dead ends.Speaking of eyeballs, I love to plug the extensive and proper use of graphs (though in this article they are discussed as as part of the "justification" phase)Constructing knowledge: The role of graphs and tables in hard and soft psychology.Smith, L. D., and othersAmerican Psychologist, Vol 57(10), Oct, 2002. pp. 749-761.==John W. Kulig, Ph.D.Professor of PsychologyCoordinator, University HonorsPlymouth State University Plymouth NH 03264 ==From: "Stuart McKelvie" smcke...@ubishops.caTo: "Teaching in the Psychological Sciences (TIPS)" tips@fsulist.frostburg.eduSent: Tuesday, April 23, 2013 10:53:24 AMSubject: RE: [tips] Polling...
















Dear Tipsters,

Continuing on Claudia’s lighter side, whenever we consider results in the research methods course (either from an article or one of our projects), I always
 ask the class to say what their eyeballs are telling them. Then we look at the stats to see if the eyeballs are correct or not.

Ocularity is a great teaching technique!

Sincerely,

Stuart


___

"Floreat
Labore"



"Recti cultus pectora
 roborant"


Stuart J. McKelvie, Ph.D.,
Phone: 819 822 9600 x 2402 
Department of Psychology, 
Fax: 819 822 9661
Bishop's University,
2600 rue College,
Sherbrooke,
Québec J1M 1Z7,
Canada.

E-mail:
stuart.mckel...@ubishops.ca (or
smcke...@ubishops.ca)

Bishop's University Psychology Department Web Page:

http://www.ubishops.ca/ccc/div/soc/psy



Floreat
Labore"

 


___






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RE: [tips] Polling...

2013-04-23 Thread Wuensch, Karl L
 I refer to the Iball statistic.

Cheers,
[Karl L. Wuensch]http://core.ecu.edu/psyc/wuenschk/klw.htm
From: Claudia Stanny [mailto:csta...@uwf.edu]
Sent: Tuesday, April 23, 2013 10:46 AM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Polling...


 On the lighter side, one of my statistics professors liked to talk about the 
inter-ocular effect:  An effect so big it hit you right between the eyes (and 
the statistical analysis was a matter of confirming the obvious).

:-)

Claudia

_

Claudia J. Stanny, Ph.D.
Director
Center for University Teaching, Learning, and Assessment
Associate Professor
NSF UWF Faculty ADVANCE Scholar
School of Psychological and Behavioral Sciences
University of West Florida
11000 University Parkway
Pensacola, FL  32514 - 5751

Phone:   (850) 857-6355 (direct) or  473-7435 (CUTLA)

csta...@uwf.edumailto:csta...@uwf.edu

CUTLA Web Site: http://uwf.edu/cutla/
Personal Web Pages: http://uwf.edu/cstanny/website/index.htm


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RE: [tips] Polling...

2013-04-23 Thread Tim Shearon

One of my stat professors in grad school referred to it as the inter-ocular 
trauma test. (If someone else said that already, never mind). :)
Tim

From: Claudia Stanny [mailto:csta...@uwf.edu]
Sent: Tuesday, April 23, 2013 8:46 AM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Polling...







On the lighter side, one of my statistics professors liked to talk about the 
inter-ocular effect:  An effect so big it hit you right between the eyes (and 
the statistical analysis was a matter of confirming the obvious).

:-)

Claudia

_

Claudia J. Stanny, Ph.D.
Director
Center for University Teaching, Learning, and Assessment
Associate Professor
NSF UWF Faculty ADVANCE Scholar
School of Psychological and Behavioral Sciences
University of West Florida
11000 University Parkway
Pensacola, FL  32514 - 5751

Phone:   (850) 857-6355 (direct) or  473-7435 (CUTLA)

csta...@uwf.edumailto:csta...@uwf.edu

CUTLA Web Site: http://uwf.edu/cutla/
Personal Web Pages: http://uwf.edu/cstanny/website/index.htm


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RE:[tips] Polling...

2013-04-22 Thread David T. Wasieleski
I was told the same thing in my stats classes, although one of our resident 
statisticians here has no problem with it. To be it's a dichotomous decision, 
but I was also taught not to say things like a result approached 
significance. Is this a somewhat arbitrary guideline? Maybe. But it's the one 
we adopt in such testing, no?
Just my two cents as someone who's always told to chill out.
David W.

-Original Message-
From: Marc Carter [mailto:marc.car...@bakeru.edu] 
Sent: Monday, April 22, 2013 2:03 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: [tips] Polling...

Hi, All --

A poll:

Am I being too picky about the use of the phrase, highly significant (or 
something similar) when it's used to describe a very low-probability result?  
It sort of drives me crazy; all I can hear is my graduate math stats teacher 
threatening to kill us if we ever said something like that.  I still read it in 
papers and it's like fingernails on a chalkboard.

But perhaps I should just chill out?

What do you think?

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences College of Arts  Sciences 
Baker University
--



The information contained in this e-mail and any attachments thereto (e-mail) 
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Re: [tips] Polling...

2013-04-22 Thread MiguelRoig
I get a similar reaction when I read that expression. The question for me is 
this: Has there ever been a consensus as to what obtained p level merits that 
designation? 


Miguel 

- Original Message -
From: Marc Carter marc.car...@bakeru.edu 
To: Teaching in the Psychological Sciences (TIPS) 
tips@fsulist.frostburg.edu 
Sent: Monday, April 22, 2013 2:03:04 PM 
Subject: [tips] Polling... 

Hi, All -- 

A poll: 

Am I being too picky about the use of the phrase, highly significant (or 
something similar) when it's used to describe a very low-probability result? It 
sort of drives me crazy; all I can hear is my graduate math stats teacher 
threatening to kill us if we ever said something like that. I still read it in 
papers and it's like fingernails on a chalkboard. 

But perhaps I should just chill out? 

What do you think? 

m 

-- 
Marc Carter, PhD 
Associate Professor of Psychology 
Chair, Department of Behavioral and Health Sciences 
College of Arts  Sciences 
Baker University 
-- 



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RE: [tips] Polling...

2013-04-22 Thread Marc Carter
That's a good question.  I'm prepping for a discussion tomorrow of Bandura, 
Ross  Ross (1961), and they use highly significant to describe a result 
where the _p_ is  .02 – which to me doesn't really merit highly anything.

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts  Sciences
Baker University
--

From: MiguelRoig [mailto:miguelr...@comcast.net]
Sent: Monday, April 22, 2013 1:10 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Polling...










I get a similar reaction when I read that expression. The question for me is 
this: Has there ever been a consensus as to what obtained p level merits that 
designation?

Miguel

From: Marc Carter marc.car...@bakeru.edumailto:marc.car...@bakeru.edu
To: Teaching in the Psychological Sciences (TIPS) 
tips@fsulist.frostburg.edumailto:tips@fsulist.frostburg.edu
Sent: Monday, April 22, 2013 2:03:04 PM
Subject: [tips] Polling...

Hi, All --

A poll:

Am I being too picky about the use of the phrase, highly significant (or 
something similar) when it's used to describe a very low-probability result?  
It sort of drives me crazy; all I can hear is my graduate math stats teacher 
threatening to kill us if we ever said something like that.  I still read it in 
papers and it's like fingernails on a chalkboard.

But perhaps I should just chill out?

What do you think?

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts  Sciences
Baker University
--



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Re: [tips] Polling...

2013-04-22 Thread Claudia Stanny
Highly significant conflates statistical rarity with impact (importance
of the effect, the size of the effect).

On the other hand, I think approaching significance can be useful and I
will defend that practice (although I wouldn't push its use in a
publication).

Many statisticians note the arbitrariness of the decision criterion (the
magical .05) and argue that a result that would occur randomly with a
probability of .051 or .052 or .06 (I could go on . . . it is a slippery
slope) deserves closer examination than just deciding that the result is
does not meet the criterion to be declared statistically reliable.  This
rigidness in the decision process seems to reinforce the too-common
treatment of statistical analysis as a ritual of taking out data (our
sacrificial goat, as it were) to the oracle for a decision.  We can be more
thoughtful than this.  (Abelson's excellent book, *Statistics as Principled
Argument*, has some discussion of the thoughtful use of inferential
statistics.)

Failure to reach the criterion can occur for reasons other than absence of
an effect.  The near misses are worth examining.  Similarly, the
just-made-it successes deserve replication and questions about Type I
Errors.

Claudia

_

Claudia J. Stanny, Ph.D.
Director
Center for University Teaching, Learning, and Assessment
Associate Professor
NSF UWF Faculty ADVANCE Scholar
School of Psychological and Behavioral Sciences
University of West Florida
11000 University Parkway
Pensacola, FL  32514 – 5751

Phone:   (850) 857-6355 (direct) or  473-7435 (CUTLA)

csta...@uwf.edu

CUTLA Web Site: http://uwf.edu/cutla/
Personal Web Pages: http://uwf.edu/cstanny/website/index.htm

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Re: [tips] Polling...

2013-04-22 Thread Gerald Peterson
I still emphasize this in my classes. I do not like significance used without 
statistical before, as I find this soon leads to such statements, and other, 
unwarranted inferences. However, other colleagues and editors apparently feel 
that the context of such use (results sections, etc.) is sufficient 
justification. We recently had our annual departmental poster session where 
students presented their research and almost all posters did not make any such 
qualifications in their use of significant findings.  Of course, a highly 
significant observation eh?


- Original Message -
From: Marc Carter marc.car...@bakeru.edu
To: Teaching in the Psychological Sciences (TIPS) tips@fsulist.frostburg.edu
Sent: Monday, April 22, 2013 2:03:04 PM
Subject: [tips] Polling...

Hi, All --

A poll:

Am I being too picky about the use of the phrase, highly significant (or 
something similar) when it's used to describe a very low-probability result?  
It sort of drives me crazy; all I can hear is my graduate math stats teacher 
threatening to kill us if we ever said something like that.  I still read it in 
papers and it's like fingernails on a chalkboard.

But perhaps I should just chill out?

What do you think?

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts  Sciences
Baker University
--



The information contained in this e-mail and any attachments thereto (e-mail) 
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RE: [tips] Polling...

2013-04-22 Thread Tim Shearon

Claudia
You make reasonable arguments. It's debatable, ultimately, as the decision 
criteria can be thought of flexibly (as in, this is early so I used a softer 
criterion of .07, or similar arguments) OR as a disciplinary cut-off (as in, we 
use .05 in the social sciences based on reasoned consequences of Type I and 
Type II errors). To be honest, I find people often teach the later and do the 
former depending on a variety of factors. At any rate, I'm siding with the 
fingernail on a chalkboard metaphor, or, NO, you are not being too picky, 
when it comes to the term that started this discussion. I distinctly remember 
an episode of MASH (episode 14 of season 1?) where Radar is attempting to 
impress a rather intelligent nurse and Hawkeye teaches him to say, That's 
highly significant! when he doesn't understand a point she's made. At least 
now it makes me laugh instead of cringing when someone says that. :)
Best,
Tim Shearon

___
Timothy O. Shearon, PhD
Professor, Department of Psychology
The College of Idaho
Caldwell, ID 83605
email: tshea...@collegeofidaho.edu

teaching: intro to neuropsychology; psychopharmacology; general; history and 
systems

You can't teach an old dogma new tricks. Dorothy Parker



From: Claudia Stanny [mailto:csta...@uwf.edu]
Sent: Monday, April 22, 2013 12:27 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Polling...







Highly significant conflates statistical rarity with impact (importance of 
the effect, the size of the effect).

On the other hand, I think approaching significance can be useful and I will 
defend that practice (although I wouldn't push its use in a publication).

Many statisticians note the arbitrariness of the decision criterion (the 
magical .05) and argue that a result that would occur randomly with a 
probability of .051 or .052 or .06 (I could go on . . . it is a slippery slope) 
deserves closer examination than just deciding that the result is does not meet 
the criterion to be declared statistically reliable.  This rigidness in the 
decision process seems to reinforce the too-common treatment of statistical 
analysis as a ritual of taking out data (our sacrificial goat, as it were) to 
the oracle for a decision.  We can be more thoughtful than this.  (Abelson's 
excellent book, Statistics as Principled Argument, has some discussion of the 
thoughtful use of inferential statistics.)

Failure to reach the criterion can occur for reasons other than absence of an 
effect.  The near misses are worth examining.  Similarly, the just-made-it 
successes deserve replication and questions about Type I Errors.

Claudia




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Re: [tips] Polling...

2013-04-22 Thread Ken Steele


The use is a highly irritating conflation of a dichotomous decision and 
an indication of effect size.


Ken



Kenneth M. Steele, Ph. D.steel...@appstate.edu
Professor and Assistant Chairperson
Department of Psychology http://www.psych.appstate.edu
Appalachian State University
Boone, NC 28608
USA



On 4/22/2013 2:03 PM, Marc Carter wrote:

Hi, All --

A poll:

Am I being too picky about the use of the phrase, highly
significant (or something similar) when it's used to describe a very
low-probability result?  It sort of drives me crazy; all I can hear
is my graduate math stats teacher threatening to kill us if we ever
said something like that.  I still read it in papers and it's like
fingernails on a chalkboard.

But perhaps I should just chill out?

What do you think?

m

-- Marc Carter, PhD Associate Professor of Psychology Chair,
Department of Behavioral and Health Sciences College of Arts
Sciences Baker University --



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RE: [tips] Polling...

2013-04-22 Thread Peterson, Douglas (USD)
Ahh Bach!  (nodding with a smile).


Doug Peterson, PhD
Associate Professor of Psychology
The University of South Dakota
Vermillion SD 57069
605.677.5295

From: Tim Shearon [tshea...@collegeofidaho.edu]
Sent: Monday, April 22, 2013 1:59 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: RE: [tips] Polling...

Claudia
You make reasonable arguments. It’s debatable, ultimately, as the decision 
criteria can be thought of flexibly (as in, this is early so I used a softer 
criterion of .07, or similar arguments) OR as a disciplinary cut-off (as in, we 
use .05 in the social sciences based on reasoned consequences of Type I and 
Type II errors). To be honest, I find people often teach the later and do the 
former depending on a variety of factors. At any rate, I’m siding with the 
fingernail on a chalkboard metaphor, or, “NO, you are not being too picky”, 
when it comes to the term that started this discussion. I distinctly remember 
an episode of MASH (episode 14 of season 1?) where Radar is attempting to 
impress a rather intelligent nurse and Hawkeye teaches him to say, “That’s 
highly significant!” when he doesn’t understand a point she’s made. At least 
now it makes me laugh instead of cringing when someone says that. ☺
Best,
Tim Shearon

___
Timothy O. Shearon, PhD
Professor, Department of Psychology
The College of Idaho
Caldwell, ID 83605
email: tshea...@collegeofidaho.edu

teaching: intro to neuropsychology; psychopharmacology; general; history and 
systems

You can't teach an old dogma new tricks. Dorothy Parker



From: Claudia Stanny [mailto:csta...@uwf.edu]
Sent: Monday, April 22, 2013 12:27 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Polling...







Highly significant conflates statistical rarity with impact (importance of 
the effect, the size of the effect).

On the other hand, I think approaching significance can be useful and I will 
defend that practice (although I wouldn't push its use in a publication).

Many statisticians note the arbitrariness of the decision criterion (the 
magical .05) and argue that a result that would occur randomly with a 
probability of .051 or .052 or .06 (I could go on . . . it is a slippery slope) 
deserves closer examination than just deciding that the result is does not meet 
the criterion to be declared statistically reliable.  This rigidness in the 
decision process seems to reinforce the too-common treatment of statistical 
analysis as a ritual of taking out data (our sacrificial goat, as it were) to 
the oracle for a decision.  We can be more thoughtful than this.  (Abelson's 
excellent book, Statistics as Principled Argument, has some discussion of the 
thoughtful use of inferential statistics.)

Failure to reach the criterion can occur for reasons other than absence of an 
effect.  The near misses are worth examining.  Similarly, the just-made-it 
successes deserve replication and questions about Type I Errors.

Claudia





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Re: [tips] Polling...

2013-04-22 Thread Paul C Bernhardt
No, you are not being too picky and this is why I think so: Suppose instead of 
a simple t-test for independent means you had several conditions and for some 
reason did a collection of t-tests among the means. You knew to take a 
Bonferoni correction for alpha so that it was necessarily reduced, maybe to 
.001. Then you had several of your t-tests come through significant at alpha at 
.001 with p = .0008 for each. The temptation for a single t-test with p = .0008 
would be to declare it 'highly significant' but when you had to whittle alpha 
down to such a low value before doing the tests it is clear that phrase no 
longer applies because you are just barely crossing the barrier for a null 
rejection decision.

If a student wants to characterize the result is 'important' or 'big' 
or'notable' etc. they should do so based on effect size, and/or practical 
criteria. 

Paul

On Apr 22, 2013, at 2:03 PM, Marc Carter wrote:

 Hi, All --
 
 A poll:
 
 Am I being too picky about the use of the phrase, highly significant (or 
 something similar) when it's used to describe a very low-probability result?  
 It sort of drives me crazy; all I can hear is my graduate math stats teacher 
 threatening to kill us if we ever said something like that.  I still read it 
 in papers and it's like fingernails on a chalkboard.
 
 But perhaps I should just chill out?
 
 What do you think?
 
 m
 
 --
 Marc Carter, PhD
 Associate Professor of Psychology
 Chair, Department of Behavioral and Health Sciences
 College of Arts  Sciences
 Baker University
 --
 
 
 
 The information contained in this e-mail and any attachments thereto 
 (e-mail) is sent by Baker University (BU) and is intended to be 
 confidential and for the use of only the individual or entity named above. 
 The information may be protected by federal and state privacy and disclosures 
 acts or other legal rules. If the reader of this message is not the intended 
 recipient, you are notified that retention, dissemination, distribution or 
 copying of this e-mail is strictly prohibited. If you have received this 
 e-mail in error please immediately notify Baker University by email reply and 
 immediately and permanently delete this e-mail message and any attachments 
 thereto. Thank you.
 
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Re: [tips] Polling...

2013-04-22 Thread William Scott
To me, the phrase approaching significance implies that all we need to
do is run a few more subjects until we see significance, a practice
known to bolster your chances for a type I error.

Bill Scott


 Claudia Stanny  04/22/13 1:28 PM 
 
 
 
Highly significant conflates statistical rarity with impact
(importance of the effect, the size of the effect).


On the other hand, I think approaching significance can be useful and
I will defend that practice (although I wouldn't push its use in a
publication).  


Many statisticians note the arbitrariness of the decision criterion (the
magical .05) and argue that a result that would occur randomly with a
probability of .051 or .052 or .06 (I could go on . . . it is a slippery
slope) deserves closer examination than just deciding that the result is
does not meet the criterion to be declared statistically reliable.  This
rigidness in the decision process seems to reinforce the too-common
treatment of statistical analysis as a ritual of taking out data (our
sacrificial goat, as it were) to the oracle for a decision.  We can be
more thoughtful than this.  (Abelson's excellent book, Statistics as
Principled Argument, has some discussion of the thoughtful use of
inferential statistics.)


Failure to reach the criterion can occur for reasons other than absence
of an effect.  The near misses are worth examining.  Similarly, the
just-made-it successes deserve replication and questions about Type I
Errors.


Claudia

_
 
Claudia J. Stanny, Ph.D.  
Director
Center for University Teaching, Learning, and Assessment
Associate Professor
NSF UWF Faculty ADVANCE Scholar
School of Psychological and Behavioral Sciences
University of West Florida
11000 University Parkway
Pensacola, FL  32514 * 5751
 
Phone:   (850) 857-6355 (direct) or  473-7435 (CUTLA)

csta...@uwf.edu

CUTLA Web Site: http://uwf.edu/cutla/
Personal Web Pages: http://uwf.edu/cstanny/website/index.htm





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RE: [tips] Polling...

2013-04-22 Thread Stuart McKelvie
Dear Tipsters,

Cowles and Davis (1982) wrote an excellent paper on the origins of the .05 
convention. It is interesting to see the position that some of the great 
statisticians took on where the issue of where to set a guideline for 
siginificant. For example, referring to chi square, Pearson wrote that the fit 
is remarkably good if p = .56, and not very improbable if p  .1.

American Psychologist, 37, 553-558.

Sincerely,

Stuart


___
   Floreat Labore

   [cid:image007.jpg@01CE3F73.D292AD60]
Recti cultus pectora roborant

Stuart J. McKelvie, Ph.D., Phone: 819 822 9600 x 2402
Department of Psychology, Fax: 819 822 9661
Bishop's University,
2600 rue College,
Sherbrooke,
Québec J1M 1Z7,
Canada.

E-mail: stuart.mckel...@ubishops.camailto:stuart.mckel...@ubishops.ca (or 
smcke...@ubishops.camailto:smcke...@ubishops.ca)

Bishop's University Psychology Department Web Page:
http://www.ubishops.ca/ccc/div/soc/psyblocked::http://www.ubishops.ca/ccc/div/soc/psy

 Floreat Labore

 [cid:image008.jpg@01CE3F73.D292AD60]

[cid:image009.jpg@01CE3F73.D292AD60]
___



From: William Scott [mailto:wsc...@wooster.edu]
Sent: April 22, 2013 4:01 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Polling...










To me, the phrase approaching significance implies that all we need to do is 
run a few more subjects until we see significance, a practice known to bolster 
your chances for a type I error.

Bill Scott


 Claudia Stanny 04/22/13 1:28 PM 






Highly significant conflates statistical rarity with impact (importance of 
the effect, the size of the effect).

On the other hand, I think approaching significance can be useful and I will 
defend that practice (although I wouldn't push its use in a publication).

Many statisticians note the arbitrariness of the decision criterion (the 
magical .05) and argue that a result that would occur randomly with a 
probability of .051 or .052 or .06 (I could go on . . . it is a slippery slope) 
deserves closer examination than just deciding that the result is does not meet 
the criterion to be declared statistically reliable.  This rigidness in the 
decision process seems to reinforce the too-common treatment of statistical 
analysis as a ritual of taking out data (our sacrificial goat, as it were) to 
the oracle for a decision.  We can be more thoughtful than this.  (Abelson's 
excellent book, Statistics as Principled Argument, has some discussion of the 
thoughtful use of inferential statistics.)

Failure to reach the criterion can occur for reasons other than absence of an 
effect.  The near misses are worth examining.  Similarly, the just-made-it 
successes deserve replication and questions about Type I Errors.

Claudia

_

Claudia J. Stanny, Ph.D.
Director
Center for University Teaching, Learning, and Assessment
Associate Professor
NSF UWF Faculty ADVANCE Scholar
School of Psychological and Behavioral Sciences
University of West Florida
11000 University Parkway
Pensacola, FL  32514 - 5751

Phone:   (850) 857-6355 (direct) or  473-7435 (CUTLA)

csta...@uwf.edumailto:csta...@uwf.edu

CUTLA Web Site: http://uwf.edu/cutla/
Personal Web Pages: http://uwf.edu/cstanny/website/index.htm


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Re: [tips] Polling...

2013-04-22 Thread Jim Clark
Hi

I do think there are places where qualifiers to significant (or statistically 
significant) are appropriate.  An effect that has p = .002 is quite different 
in my mind than p = .048, and highly significant vs significant would 
appear to capture that.  Indeed isn't that the logic behind APA's 
recommendation to report specific p values?  And to say that an effect is 
marginally significant or approached significance for p = .055 strikes me 
as appropriate especially when you know the test has weak power (e.g., tests of 
interactions that do not conform to X pattern) and you plan follow-up analyses 
(e.g., planned contrasts for main effects, simple effects or partitioning 
interaction).  I'm not sure that we give a very realistic impression about the 
nature of statistics striving to adhere strictly to the mathematical 
preciseness of the tests under ideal conditions.

Take care
Jim


James M. Clark
Professor  Chair of Psychology
j.cl...@uwinnipeg.ca
Room 4L41A
204-786-9757
204-774-4134 Fax
Dept of Psychology, U of Winnipeg
515 Portage Ave, Winnipeg, MB
R3B 0R4  CANADA


 Marc Carter marc.car...@bakeru.edu 22-Apr-13 1:03 PM 
Hi, All --

A poll:

Am I being too picky about the use of the phrase, highly significant (or 
something similar) when it's used to describe a very low-probability result?  
It sort of drives me crazy; all I can hear is my graduate math stats teacher 
threatening to kill us if we ever said something like that.  I still read it in 
papers and it's like fingernails on a chalkboard.

But perhaps I should just chill out?

What do you think?

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts  Sciences
Baker University
--



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Re: [tips] Polling...

2013-04-22 Thread don allen
Hi Marc-

Not only do I abhor the term highly significant I also dislike the term 
significant. I always taught my students to use the term statistically 
reliable instead. significant implies that the results are important. That 
is a value judgement which should be made after careful consideration of a 
whole host of non-statistical factors. There was also a paper published a 
number of years ago (sorry, no reference and no access to the library right 
now) which showed that people ascribed more value to results which were labeled 
significant than those which were described as non-chance findings.

-Don.

- Original Message -
From: Marc Carter marc.car...@bakeru.edu
To: Teaching in the Psychological Sciences (TIPS) tips@fsulist.frostburg.edu
Sent: Monday, April 22, 2013 11:03:04 AM
Subject: [tips] Polling...

Hi, All --

A poll:

Am I being too picky about the use of the phrase, highly significant (or 
something similar) when it's used to describe a very low-probability result?  
It sort of drives me crazy; all I can hear is my graduate math stats teacher 
threatening to kill us if we ever said something like that.  I still read it in 
papers and it's like fingernails on a chalkboard.

But perhaps I should just chill out?

What do you think?

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts  Sciences
Baker University
--



The information contained in this e-mail and any attachments thereto (e-mail) 
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re: [tips] Polling...

2013-04-22 Thread Mike Palij

On Mon, 22 Apr 2013 11:03:12 -0700, Marc Carter wrote:

Hi, All --

A poll:
Am I being too picky about the use of the phrase, highly significant (or
something similar) when it's used to describe a very low-probability 
result?
It sort of drives me crazy; all I can hear is my graduate math stats 
teacher
threatening to kill us if we ever said something like that.  I still read 
it in

papers and it's like fingernails on a chalkboard.

But perhaps I should just chill out?

What do you think?


I tend to agree with you but I'd like to make the following points:

(1) Some software packages, such as SPSS, truncate the p-value or
significance at three decimal values, so, it would be a mistake to
say that any result with p= .001 or p .001 is highly significant
because it is likely that there are some results that have an even
smaller probability of occurring under a true null hypothesis.

(2) To reinforce point (1) above, a couple of decades ago I conducted
a levels of processing memory experiment in a statistics class in order
to provide the students with some real data to work with.  In this
experiment, students were presented 32 words via a slide projector
and half of the students received instructions to determine if the word
contained the letter e or not (they wrote down yes or no to each
word on a response sheet) while the other half received instructions to
determine whether the word referred to a man-made/manufactured
object (again, they wrote yes or no; stimulus conditions were
balanced to make yes/no response rates equal for both groups).
After a few minutes of distraction, students were told to recall as many
words as they could.  As a one-way two-level between-subjects
design was used, an independent groups t-test was conducted (with
equal variances) and a one-way ANOVA was conducted and
provided the following results from SPSS:

(a) t-test: t(29)= -5.97, p .001, r^2= .55

(b) One-way ANOVA: F(1.29)= 35.59, p .001, partial eta^2=.55

Note that the above follows APA style recommendations for reporting
statistical results which raises the question of why one would focus
on the p-value instead of the effect size measure, that is, the 
point-biserial

squared or eta-squared.  Over half of the variance in the dependent
variable (i.e., number of words recalled) is accounted for by the 
instruction

manipulation.  The key idea is to make sure that an effect size measure
is presented and correctly interpreted.

(3)  Excel, for all its short-comings, attempts to provide p-values for
the obtained values of test statistics.  Though Excel blew up in providing
the two-tailed p-value for the data used above, it did provide the
p-value in the regression analysis where the p-value for the coefficient
for LoP group membership was p= 1.74819473651439E-06, that is,
in scientific notation, or p= .00174819473651439, if I remember
how to convert scientific notation back to ordinary numbers. So,
do this result qualify as super-duper higher statistically significant?

(4)  I agree with Karl W. that calling a test result reliable on the basis
of a p-value is very strange and I had not been taught that usage.  However,
I did come across its use among some mathematical psychologists which
made me wonder (a) why would they say such a thing, and (b) what was
I missing?

-Mike Palij
New York University
m...@nyu.edu




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