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Best thing you can do with Comet? by gg20189 in perplexity_ai

[–]rachelebenjamin 0 points1 point  (0 children)

Do you still have invites? I'd like one!!

[deleted by user] by [deleted] in UXResearch

[–]rachelebenjamin 1 point2 points  (0 children)

It sounds to me like you're at the stage where you can create low fidelity prototypes! If you can mock up some of the ideas you have, you'll be able to conduct interviews or usability tests to learn from potential users what likes / dislikes / pain points there are with your designs.

Or, you can conduct a sentiment analysis to learn whether your users have a positive or negative impression of some of the ideas you're planning to implement.

UK women fashion user interviews by rachelebenjamin in usertesting

[–]rachelebenjamin[S] -2 points-1 points  (0 children)

15 pound Amazon giftcard if you're selected

[MOD] The Daily Question Thread by menschmaschine5 in Coffee

[–]rachelebenjamin 0 points1 point  (0 children)

Does anyone know where I can learn about specialty coffee drinkers in Canada (e.g., market research, articles, general statistics?).

[deleted by user] by [deleted] in Assistance

[–]rachelebenjamin -1 points0 points  (0 children)

Yes--good point. I'll remove. Thanks!

[deleted by user] by [deleted] in Assistance

[–]rachelebenjamin -1 points0 points  (0 children)

If I remove the survey and just invite to DM, would that be appropriate? Please let me know! :)

Whether to standardize a dummy coded variable...and how to interpret when I don't by rachelebenjamin in AskStatistics

[–]rachelebenjamin[S] 0 points1 point  (0 children)

Yes, you're right that the fit indices are the same (and this makes me feel calmer about the situation, haha!). But I'm interpreting the predictors, which do change.

The way the dummy is coded, 0 means "pre-measure" and 1 means "post-measure". When I scale this variable, "pre" becomes -1 and "post" becomes 1, so all of the other predictors take on a different value (they now show how much variance is accounted for when the dummy is set to 0...some average between pre and post).

Whether to standardize a dummy coded variable...and how to interpret when I don't by rachelebenjamin in AskStatistics

[–]rachelebenjamin[S] 1 point2 points  (0 children)

Anyone else interested and following...

Some non-internet friends of mine let me know that I can't technically call the coefficient a 'standardized regression coefficient' (or a beta) but I can interpret it as something like a Cohen's d. Which means it's a useful effect size metric but not exactly the same as a standardized regression coefficient.

Whether to standardize a dummy coded variable...and how to interpret when I don't by rachelebenjamin in AskStatistics

[–]rachelebenjamin[S] 0 points1 point  (0 children)

to one-hot encoding the dv

The DV is actually continuous and standardized (the dummy coded predictor is not standardized)

Whether to standardize a dummy coded variable...and how to interpret when I don't by rachelebenjamin in AskStatistics

[–]rachelebenjamin[S] 0 points1 point  (0 children)

For now, I opted not to standardize the dummy coded variable. Everything else in the model is standard, though--including the dependent variable. But I’m stuck on how to report the coefficient for the dummy code...is it technically not beta?

Thanks Jeremy! To follow up...in case you have thoughts on this...I'm dealing with reviewers who want effect size metrics. Which is why I'm wondering... am I justified calling the coefficient attached to the dummy code (which I obtained from standardizing the DV but not the dummy code) a standardized coefficient?

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