Hi,
Thank you for the replies.
Yes I would say it does resemble a randomized block design in that each
person completed 4 out of a possible 16 versions/conditions of the vignette.
There was approximately 20 responses in each condition.
The commands I have been using are;
modela <-lmer(DV ~ IV*I
If your alternative hypothesis is unequal variances (2-sided), both F
< 1 and F > 1 are of interest, and rejection of the equal variance
null can occur on either side.
The usual ANOVA F test is 1-sided, with an alternative the numerator
variance exceeds the denominator one, so this is perhaps
Woodcock, Helena liverpool.ac.uk> writes:
> Apologies if this is a silly question but I am a student
> and this is my first time using R so I am still trying to
> educate myself on commands, models e.t.c
>
> I have a mixed model with four dichotomous fixed factors and
> subject as a random fac
Hi everyone,
Apologies if this is a silly question but I am a student and this is my first
time using R so I am still trying to educate myself on commands, models e.t.c
I have a mixed model with four dichotomous fixed factors and subject as a
random factor (as each person completed four vignett
Hi everyone,
Apologies if this is a silly question but I am a student and this is my
first time using R so I am still trying to educate myself on commands,
models e.t.c
I have a mixed model with four dichotomous fixed factors and subject as a
random factor (as each person completed four vignettes
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