I think even those arguing for some Bayesian stats also emphasize the need to 
know which and when null testing and Bayesian analyses are appropriate. I think 
you need to integrate and illustrate both in your text.

 
G.L. (Gary) Peterson,Ph.D
Psychology@SVSU


On May 19, 2011, at 7:36 PM, Marc Carter <[email protected]> wrote:

> Hi, all --
> 
> Next year I've planned on developing a stats/methods integrated text (I have 
> some sabbatical time).  More and more, though, lately I've been reading that 
> "we're doing stats wrong" and need to start moving to Bayesian stats. I 
> understand and appreciate the arguments. I think they're right.  The recent 
> Psych Science has a bevy of articles about it, exacerbated, I'm sure, by 
> Bem's JPSP article.
> 
> Our program is essentially a grad-school-prep program, and the text will be 
> for these students:  all grad-school-bound, and smart. But most are going 
> into the helping, rather than research-side of psych.  But they'll get PhDs.
> 
> Can I get a show of hands to help me decide whether or not I should a) 
> include only Bayesian hypothesis testing, 2) both trad and Bayesian hypoth 
> tests, or iii) just the trad stuff.
> 
> It's a year-long course with a lab (I get them 6 hours a week for a year), 
> and right now they come out knowing things all the way through mixed-model 
> factorial ANOVA.
> 
> Should I back off the hard-core experimental design (ANOVA) and move toward 
> this recent (sorta) issue about how we have been doing hypothesis tests?
> 
> What thinkest thous?
> 
> m
> 
> 
> 
> ------
> Do not judge me before going to www.damnyouautocorrect.com.
> 
> 
>> 
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