I'll tell ya, I don't see it happening.

On Fri, Jul 21, 2017 at 9:23 AM, Christopher Green <chri...@yorku.ca> wrote:

>
> Perhaps (he said wearily), we should end the long-futile effort to enforce
> conceptual distinctions by legislating the use of mere words and, instead,
> educate people rigorously enough that they are capable and, indeed,
> desirous, of respecting and expressing important conceptual distinctions in
> the flexible vocabulary of the true sophisticate.
>
> Chris
> …..
> Christopher D Green
> Department of Psychology
> York University
> Toronto, ON M3J 1P3
> Canada
> 43.773895°, -79.503670°
>
> chri...@yorku.ca
> http://www.yorku.ca/christo
> orcid.org/0000-0002-6027-6709
> ………………………………...
>
> On Jul 20, 2017, at 8:42 PM, Stuart McKelvie <smcke...@ubishops.ca> wrote:
>
>
>
>
>
>
>
> I agree with Karl.
>
>
>
> Here are some incomplete thoughts.
>
>
>
> When teaching methods, I would devote time to nomenclature. I suggested
> that the terms “independent variable” and “dependent variable” be reserved
> for experimental designs.
>
>
>
> How, then, do we refer to variables in non-experimental designs? If it is
> correlational, I suggested “predictor variable” and “predicted variable”
> (if the argument was framed in that manner). In some cases, the predictor
> variable might be categorical (perhaps a subject variable) and in others
> it might be continuous. If only a relationship was being examined, without
> any thought of predicting one from the other, we might say that each one is
> simply an associated variable or a correlated variable.
>
>
>
> Trickier is the situation where one variable is manipulated, but
> randomization has not occurred, as in a quasi-experimental design. Perhaps
> the manipulated variable could still be termed “independent”, but it would
> be inappropriate to call the other variable “dependent”. I suggested that
> “predicted variable” is a safer bet.
>
>
>
>
>
>
>
> ____________________________________________________________
> _______________
>
>                                    "*F**loreat* *L**abore*"
>
>
>
>                                <image002.jpg>
>
>             "*Recti cultus pectora roborant*"
>
>
>
> *Stuart J. McKelvie, Ph.D.*,     *Phone*: 819 822 9600 x 2402
> <(819)%20822-9600>
>
> Department of Psychology,         *Fax*: 819 822 9661 <(819)%20822-9661>
>
> 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
>
>
>
>                          *F**loreat* *L**abore*"
>
>
>
>                              <image003.jpg>
>
>
>
> <image004.jpg>
>
> ____________________________________________________________
> _______________
>
>
>
>
>
>
>
>
>
> *From:* Wuensch, Karl Louis [mailto:wuens...@ecu.edu <wuens...@ecu.edu>]
> *Sent:* July-20-17 7:52 PM
> *To:* Teaching in the Psychological Sciences (TIPS)
> *Subject:* [tips] Effects, Affects, Independent and Depentent Variables.
>
>
>
>
>
>           When using the word “effect,” as in “effect-size,” I sometimes
> warn my students that I am using it in the “soft” sense (not causal).  A
> related concern of mine is the use of the terms “independent variable” and
> “dependent variable” in research that is not experimental – that is, when
> no variable is manipulated.  There is a tendency to use “independent
> variable” whenever the variable is categorical and “dependent variable”
> when it is continuous.  Once I helped a previous student with his
> dissertation.  No variables were manipulated, but several were
> categorical.  I help him dummy code the categorical variables and use them
> in a multiple correlation analysis, with continuous covariates, to predict
> the focal continuous outcome variable.  His dissertation advisor told him
> no, do an ANOVA instead, because then we have independent and dependent
> variables and thus can make causal inferences.
>
>
>
> Cheers,
>
> <image005.jpg> <http://core.ecu.edu/psyc/wuenschk/klw.htm>
>
> *From:* Annette Taylor [mailto:tay...@sandiego.edu <tay...@sandiego.edu>]
> *Sent:* Wednesday, July 19, 2017 10:08 AM
> *To:* Teaching in the Psychological Sciences (TIPS)
> *Subject:* [tips] Opinions needed
>
>
>
>
>
> Back in the good old days....when I was in graduate school...I
> specifically being told by my advisor that "effect" could not be used in a
> title unless it was a clearly causal effect. So this does err on the side
> of emphasizing causal. Nevertheless, I also heard somewhere from someone
> (???) that the reason that the APA guidelines reduced the maximum number of
> words for a title in APA style was to focus on the actual variables in the
> title and eliminate any suggestion of "effect" in the title to reduce the
> abuse of the term "effect"
>
>
>
> Now, it makes for splashier headlines when your study gets published and
> people can talk about something BY INFERENCE "causing" something else
> simply because it is systematically linked with it.
>
>
>
> Finally, on a similar topic, I woke up this morning to a news story about
> "risk factors" for Alzheimer's and my immediate thought was, how are these
> things "risk factors?" Specifically it mentioned hearing loss and sleep
> apnea. My understanding of a "risk factor" when talking about health
> research is that these are things that are either set: a family history of
> ....xyz; or something we can manage such as obesity or smoking. So hearing
> loss may be associated with Alzheimer's, might predict that some amount of
> the variance in developing Alzheimer's is accounted for by something like
> hearing loss. But is the use of the phrase "risk factor" correct in this
> instance.
>
>
>
> Again, it seems to be a phrase that is being abused, much like "effect" is
> being abused.
>
>
>
> Early morning musings--so they might be mushy.
>
>
>
> Annette
>
>
> Annette Kujawski Taylor, Ph.D.
>
> Professor, Psychological Sciences
>
> University of San Diego
>
> 5998 Alcala Park
>
> San Diego, CA 921210
>
> tay...@sandiego.edu
>
>
>
> On Tue, Jul 18, 2017 at 10:00 PM, Teaching in the Psychological Sciences
> (TIPS) digest <tips@fsulist.frostburg.edu> wrote:
>
> Subject: Opinions needed
> From: Dap Louw <lou...@ufs.ac.za>
> Date: Tue, 18 Jul 2017 18:27:55 +0000
> Tipsters
>
> I am well aware that (and often frustrated by) all sorts of buzz words,
> concepts, theories, etc become the flavour of the month/year in
> organizations, including universities.  I would therefore appreciate your
> viewpoint on the following, especially as research methodology is not my
> field of specialization:
>
> To what extent can we measure 'effect'?  In the last 40 years in
> Psychology I've been involved in hundreds of studies on "The effect of
> ......... (television on ...; poverty on ....., etc, etc)".  BTW, when I
> used ' "the effect of" psychology' in Google Scholar search I got 2 460 000
> results.  However:
>
> According to the latest recommendations of our University's Research
> Committee we cannot measure effect unless you make use of especially the
> longitudinal design.  Therefore any title such as  "The effect of .........
> (television on ...; poverty on ....., etc, etc)" is unacceptable and should
> be replaced by "the perceived effect of ....." or something similar.  Is
> this a case of methodology or semantics?
>
> I look forward to hearing from you.  It's high time to get the TIPS ball
> rolling again!
>
> Regards from this side of the ocean.
>
> Dap
>
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-- 
Michael T. Scoles, Ph.D.
Associate Professor of Psychology & Counseling
University of Central Arkansas
Conway, AR 72035
501-450-5418

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