Harrisburg University
udpipe
is a language package in R that provides part of speech tagging in many languagesudpipe
model was examined for corpus size and the Wikipedia corpus for that language was added to small corpus languages (Afrikaans, Hindi, Armenian, Tamil, Urdu)Now that we have the stimuli, how do we power this?
Decisions on sample size planning usually driven by:
What can you do when you do not have these?
AIPE: Accuracy in Parameter Estimation
Focus shifts from p-values to confidence intervals that are “sufficiently narrow”
Multistep procedure:
Kelley, 2007; Kelley, Darku, & Chattopadhyay, 2018; Maxwell, Kelley, & Rausch, 2008
Trial Type Accuracy RT Stimulus Participant ZScore
3 3 1 1 526 philosophical participant1 -1.0256075
5 5 1 1 512 belonging participant1 -1.1129066
6 6 1 1 626 lowliest participant1 -0.4020424
8 8 1 1 846 yacht participant1 0.9698008
9 9 1 1 434 warmish participant1 -1.5992874
10 10 1 1 552 splendor participant1 -0.8634806
Define a stopping rule
What sample sizes should we use?
Define a minimum acceptable sample size: N = 50
In our study, we used the Semantic Priming Project data to define a maximum sample size based on priming scores (N = 320)
https://psa007shiny.psysciacc.org/tracker/
*Big thanks to ZPID and Harrisburg U