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quizQAgg is provided by wrapper function LinearWAgg(), by supplying weights to the user-supplied weights argument, i.e. participant weights rather than judgement-level weights.
Currently the text refers to the old pre-wrapper function QuizWAgg()
The text was updated successfully, but these errors were encountered:
Also check whether QuizWAgg method in LinearWAgg() can default to LoArMean when users have no weight. As per user-supplied weight functions, e.g. old V of QuizWAgg() and current ReasoningWAgg() fun.
The user-supplied weights approaches do have the ability to default to LOArMean if the type = "Participant_LO" instead of just Participant (same goes for Judgement and Judgement_LO`).
The ReasoningWAgg methods all have the LOArMean default built in, and currently don't allow for anything else. This is to match the Hanea paper, where the user supplied option needed to handle multiple cases (QuizWAgg has LO defaults, EngWAgg does not, for example)
QuizWAgg
quizQAgg
is provided by wrapper functionLinearWAgg()
, by supplying weights to the user-supplied weights argument, i.e. participant weights rather than judgement-level weights.QuizWAgg()
The text was updated successfully, but these errors were encountered: