Thank you both very much for your responses, Ann and Beth. It's reassuring. I think the transition argument is a good one. "This is where we're going, but this is where we've been and that approach will still be around for quite some time."
I too am the only statistics faculty (and in my first year, at that) and it feels like a lot of pressure to make the "right" decision about course content, so it's helpful to hear others' takes on issues.
Thanks again,
Megan
Megan J. Olson Hunt, PhD
Assistant Professor, Statistics
University of Wisconsin-Green Bay
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Today's Topics:
1. Explaining motivation for theory-based models (Olson Hunt, Megan)
2. Re: Explaining motivation for theory-based models (Ann Cannon)
3. Re: Explaining motivation for theory-based models (Beth Chance)
----------------------------------------------------------------------
Message: 1
Date: Fri, 2 Jan 2015 19:13:05 +0000
From: "Olson Hunt, Megan" <olsonhum(a)uwgb.edu>
To: "'sbi(a)causeweb.org'" <sbi(a)causeweb.org>
Subject: [SBI] Explaining motivation for theory-based models
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<8CBC5C8F1ACF1C4692AB0C048EA4F07724561D09(a)MAILBXB.uwgb.edu>
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I'm working on transitioning our undergrad introductory statistics course to one that involves simulation-based ideas alongside parametric, theory-based models. At the risk of sounding na?ve, I would like your opinion on the following: With the advent of computers that make simulation-based p-value calculations fast and easy, and for those of you that teach this idea in parallel with theory-based p-values, how do you explain the motivation for even using theory-based p-values to your students?
In other words, parametric models require assumptions that may not be met. If we can use simulation to obtain a reliable p-value without worrying about these assumptions, then why bother with a t-test (e.g.) for a p-value at all? It seems like a historical argument ("It's been done and probably will continue to be done for quite some time") is one, but... I'm left feeling like I have to tell my students to conduct these theory-based tests "just because."
Thanks for your thoughts.
Megan
I'm working on transitioning our undergrad introductory statistics course to one that involves simulation-based ideas alongside parametric, theory-based models. At the risk of sounding naïve, I would like your opinion on the following: With the advent of computers that make simulation-based p-value calculations fast and easy, and for those of you that teach this idea in parallel with theory-based p-values, how do you explain the motivation for even using theory-based p-values to your students?
In other words, parametric models require assumptions that may not be met. If we can use simulation to obtain a reliable p-value without worrying about these assumptions, then why bother with a t-test (e.g.) for a p-value at all? It seems like a historical argument ("It's been done and probably will continue to be done for quite some time") is one, but... I'm left feeling like I have to tell my students to conduct these theory-based tests "just because."
Thanks for your thoughts.
Megan
A quick follow-up on Beth's comment re: assessment.
1. We are offering a $100 stipend for participating.
2. We'd love to have others at your institution participate also
(especially non-users) so feel free to share the link.
3. The pre-post tests are multiple choice, offered online and are a mix of
concepts and attitudes questions. We'll provide you a custom report on your
students performance when the semester ends.
4. There is an option to include some additional questions on your exams as
well if you'd like.
5. You are welcome to participate again this semester, even if you did in
the fall.
As Beth says, read more here:
http://homepages.dordt.edu/ntintle/assessment_intro.pdf
On Fri, Jan 2, 2015 at 12:33 AM, Beth Chance <bchance(a)calpoly.edu> wrote:
> Hi everyone and happy new year!
>
>
>
> Just wanted to let you know about two new topics with postings on the SBI
> blog (https://www.causeweb.org/sbi/) awaiting your comments.
>
> - Should we teach bootstrapping
>
> - Incorporating student projects
>
>
>
> We are also still looking for individuals willing to give some of our common assessment items (multiple choice pre/post, a few open ended), ESPECIALLY if you are NOT doing much with simulation-based inference J Full details, including a link to sign up, are located here at http://homepages.dordt.edu/ntintle/assessment_intro.pdf.
>
>
>
> Thanks,
>
> Beth
>
>
>
>
>
--
Nathan Tintle, Ph.D.
Associate Professor of Statistics and Dept. Chair
Director for Research and Scholarship
Dordt College
Sioux Center, IA 51250
nathan.tintle(a)dordt.edu
Phone: (712) 722-6264
Office: SB1612
Does anyone have some insight on how to blend simulation methods concepts
with the AP curriculum. Also I will be starting inference soon, so I would
love to hear ideas and experiences. My problem is I really love the ISI
material, but at the same time my students must know the formulas and
conditions from the theory based methods.
Hi everyone and happy new year!
Just wanted to let you know about two new topics with postings on the SBI blog (https://www.causeweb.org/sbi/) awaiting your comments.
- Should we teach bootstrapping
- Incorporating student projects
We are also still looking for individuals willing to give some of our common assessment items (multiple choice pre/post, a few open ended), ESPECIALLY if you are NOT doing much with simulation-based inference J Full details, including a link to sign up, are located here at <http://homepages.dordt.edu/ntintle/assessment_intro.pdf> http://homepages.dordt.edu/ntintle/assessment_intro.pdf.
Thanks,
Beth