j01
Anova is a tough one to
get your head round-we had to do them manually when I did my first degree so you get to
grips with them better. Interpreting them past a 2* 2 design gets iffy and interactions
can only really be interpereted using output plots--unless your a
math-head.
An independant variable is the one the
experimenter manipulates (even if there is no real manipulation--eg quasi experiments,
one class group compared to another). The dependant variable is what is measured--it
depends upon the independent variables.
The way this study
is described does lack a bit of clarity but lets have a
go.
In the manipylation check, the IV for the t test was
the manipulated factor--qualifications, DV evaluation of
candidate.
Next to see if race had an impact (IV=race_ 2
levels) on evaluation of employabity (DV) or evaluation of qualifications
(DV)
Finally the tough one
the
DV was Stroop scores so the IVs that impacted on them
were:
2 levels (subject’s race) * 2 levels (evaluator’s
race)*3 levels (prejudice condition)
As I said a clearer
description in the paper would have helped
Hope this
helps
Silverstrummer
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