Jessica

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visits	member for	1 year, 6 months
	seen	Oct 2 '12 at 18:28
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	301 reputation	bio	website		visits	member for	1 year, 6 months
17 badges		location			seen	Oct 2 '12 at 18:28

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Feb 13	awarded	Yearling
Oct 2	comment	Power analysis for binomial data when the null hypothesis is that $p = 0$ According to `pwr.p.test`, for a power of 0.5, you need at least 677 observations. But power = 0.5 is very low!
Oct 2	answered	Power analysis for binomial data when the null hypothesis is that $p = 0$
Sep 25	answered	How to determine which variables are statistically significant in multiple regression?
Sep 25	asked	Power analysis with weighted survey data
Sep 25	comment	Conducting a power analysis on difference between two proportions In the pwr package, also pwr.2p.test and pwr.2p2n.test.
Jun 11	answered	Practical significance, especially with percents: “standard” measure and threshold
Jun 9	comment	Practical significance, especially with percents: “standard” measure and threshold In the context of $y = a+bx$, I think a good measure of practical significance is $Q = b\sigma_x/\sigma_y$ (is there a name for this?). It measures the change (in SD's) in $y$ for a 1 SD change in $x$. Thus, you could say something like: Q < 1/3: very low effect; Q < 1/2: low effect; Q 1/2 to 2: medium effect; Q > 2: high effect; Q > 3: very high effect. In your example, all I need to know is that $b = 0.0000001$ and the SD's of $y$ and $x$.
Jun 9	revised	Practical significance, especially with percents: “standard” measure and threshold fixed typo
Jun 9	asked	Practical significance, especially with percents: “standard” measure and threshold
May 8	comment	Mixture model fixed effects Thank you everyone who has read my question and tried to answer. All of the answers gave me good ideas / starting points. Unfortunately, no answer gave a straightforward solution. I will therefore let StackExchange automatically assign the bounty based on the votes cast by the community.
May 8	comment	Mixture model fixed effects Some good ideas. Thank you.
May 1	comment	Summarizing five-point Likert scale This is probably too much for the original poster, but others might find this interesting: en.wikipedia.org/wiki/Cultural_consensus_theory
Apr 30	awarded	Commentator
Apr 30	comment	Mixture model fixed effects Thanks! Done...
Apr 30	revised	Mixture model fixed effects retag
Apr 30	awarded	Promoter
Apr 30	revised	Mixture model fixed effects Clarifications
Apr 27	comment	Mixture model fixed effects @Aniko- Thank you! Any suggestion as to which package does this? (An R package, a MATLAB function, something else?)
Apr 27	answered	Expected value for discrete (nominal) variable?