[R-meta] Random-effects meta-analyses with inverse-variance weights cannot include studies with sample sizes of two?
Il 09/11/2018 12:05, Viechtbauer, Wolfgang (SP) ha scritto:
Maybe I am a bit dense here, but I still do not fully understand what you are computing. You wrote earlier that there are two participants that "contributed to a percentage of hits, e.g. .30 and .40". Ok, that sounds like these participants did a series of trials that could yield hits/successes. I assume N is the number of trials. So the first participant had .3*N hits and the second participant had .4*N hits. So far so good. But what is 'z = binomial z'? Where does that equation for the variance come from? It would also help if you could provide a fully reproducible example of the computations.
This is the z score obtained from a normal approximation of the binomial test binomial test: z= (X - ?)/? ; where X = observed percentage;? ? = chance percentage; ? = Sqr(?(1-?)/N ex. X= 31; N= 49; p = .5 = (31/46 - .5)/Sqr(.5*.5/49) = 2.4 Patrizio -- Patrizio E. Tressoldi Ph.D. Dipartimento di Psicologia Generale Universit? di Padova via Venezia 8 35131 Padova - ITALY http://www.patriziotressoldi.it https://orcid.org/0000-0002-6404-0058 Science of Consciousness Research Group http://dpg.unipd.it/en/soc Make war history support http://www.emergency.it