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It’s an Inferred importance method, as other users have commented it is likely that there are some calibration metrics in there. MaxDiff is the name of the approach if you want to check out more.
It’s an Inferred importance method, as other users have commented it is likely that there are some calibration metrics in there. MaxDiff is the name of the approach if you want to check out more.
WYSIWYG is also pretty common these days for tabletop gaming, with regard for models using the rules for whatever weapons or equipment they are actually holding. This came around as often people build the model one way (e.g. with a machine gun) before a rule change, after which they want to use the better rules without re-doing the model (e.g. with a flamethrower).
Say W really slowly out loud and count the syllables. Where do you live that W isn’t three syllables?
Plus rabbits love cardboard. Toilet rolls and plain boxes get your surprisingly far with two rabbits! The only toys I’ll buy are the edible ones - willow tunnels for example. Watching them play with something you make is part of the joy.
I think this is true for most people on Lemmy. But I do wonder what the average streaming users will do. What about “free” streaming platforms like Channel 4 in the UK? Content is king, and the path of least resistance will always trump.
You’re bang on. It’s called MaxDiff. I use it frequently in my line of work to prioritise product or service messaging with panel data. It’s better in some cases to use Inferred preference rather than stated, but generally good to keep the options comparable in “size” of offer.
I would never interpret a MaxDiff model low end result as “wow, 5% of people want slower browsers.” Instead I’m focusing on the top cluster. As with any model, they’re only ever so accurate. Don’t read into the questions too much.