2396666
Descripción
Mapa Mental por gatalina95, actualizado hace más de 1 año
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Creado por gatalina95
hace más de 9 años
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stats
- one anova
- compares
within and
between
variance
- f-ratio
- f-ratio
- to report
- f(b,w)=...MSE=....
P<.05
- use smallest p
value possible
- use smallest p
value possible
- f(b,w)=...MSE=....
P<.05
- compares 2
or more
means
- to compute
- factor=IV
- stats >Descriptive
and homogeneity
- explore histograms
- explore histograms
- stats >Descriptive
and homogeneity
- factor=IV
- compares
within and
between
variance
- Post-Hoc
- BONFERRONI
- 0.05/n
- Family wise error rate 1-(1-0.05)xn
- Family wise error rate 1-(1-0.05)xn
- 0.05/n
- Tukeys
- it tests all conditions
- click post hoc
- click post hoc
- it tests all conditions
- priori
- contrast
- for one
way
anova
- eg: 2 -1 -1
to opposite
signs to
compare
- or 0. 1 -1
- not interested in 0
- not interested in 0
- or 0. 1 -1
- eg: 2 -1 -1
to opposite
signs to
compare
- for one
way
anova
- contrast
- BONFERRONI
- REPEATED
MEASURES ANOVA
- add, define
- if significant then paired T tests using Bonferroni adjustments
- if it is one way
- 1 Dv ,within
participants
- 1 Dv ,within
participants
- if it is one way
- if significant then paired T tests using Bonferroni adjustments
- if it is two way
- Analyse >GLM>
- This is to get interaction plus main effect
- Repeated measures
again choose one factor
> define > choose that
you are interested on
for the other level
- FOR SIMPLE MAIN EFFECT
- FOR SIMPLE MAIN EFFECT
- Check sphericity if Maunch is significant use Hyung feldt
- Repeated measures
again choose one factor
> define > choose that
you are interested on
for the other level
- This is to get interaction plus main effect
- Analyse >GLM>
- add, define
- Two way ANOVA
- interaction
- The effect
one iv varies
according to
the other iv
- compares all
cell meas
- compares all
cell meas
- The effect
one iv varies
according to
the other iv
- simple main
- one iv has
an effect
on the dv
in one
particular
conditin of
the dv
- compares
all cell
means in
one
condition
- to compute
- analyze
- GLM
- univairate
- option descriptives = Marginal means
- paste syntax
- paste syntax
- option descriptives = Marginal means
- univairate
- for simple main effect
- add compare to syntax
- /EE: eg compare (sex)
- look at univariate test
- look at univariate test
- /EE: eg compare (sex)
- add compare to syntax
- GLM
- analyze
- to compute
- compares
all cell
means in
one
condition
- one iv has
an effect
on the dv
in one
particular
conditin of
the dv
- main effect
- an IV has
some
effect of
the Dv
- compares
marginal
means for
each
condition
- compares
marginal
means for
each
condition
- an IV has
some
effect of
the Dv
- interaction
- t test
- uses do
compare
two means
- independent
- compares two unrelated samples
- between participants
- between participants
- compares two unrelated samples
- paired sample
- related
- within participants
- within participants
- related
- one sample
- compare one sample to pop mean
- compare one sample to pop mean
- independent
- assumptions
- normally distribution
- Homogeneity
- if Levene's is significant = not homogenous..
- if Levene's is significant = not homogenous..
- Homogeneity
- normally distribution
- t (DF)=2.56 , p , . 05
- if not significant use actual figure
- if not significant use actual figure
- To compute
- Analyze
- Descriptives
- explore
- explore
- Descriptives
- compare means
- paired sample meand
- within
- within
- paired sample meand
- compare means
- independent t test
- Between
- test variable = DV
- test variable = DV
- Between
- independent t test
- if you want one level only eg specidic role
- split file
- organize by group > role
- organize by group > role
- select cases
- if role =1
- if role =1
- split file
- Analyze
- uses do
compare
two means
- 3 WAY INTERACTION
- GLM> univariate
add 3 factors
- if significant
look for
interaction
effects
- if significant
look for
interaction
effects
- L-matrix
- remember
the order
- test results
- look at
custom
Hypothesis
test
- remember
the order
- GLM> univariate
add 3 factors
- MIXED MODEL
- Analyze-GLM>repeated measures
- Within factors add
numbers of levels
- Define
- add Between
- see test of
within and test
of between ?
look at each
separate error
- see test of
within and test
of between ?
look at each
separate error
- add Between
- Define
- Within factors add
numbers of levels
- Follow up
- test
interaction
between 2
at a level of
third factor
- simple main effect
- when you
want to
compare two
levels from
diff iv eg male
patients
select cases if
gender = 1 if
patients = 1
- if I want to
compare eg male
patients and female
patients
- split file compare groups
and select if role = 1
- split file compare groups
and select if role = 1
- if I want to
compare eg male
patients and female
patients
- when you
want to
compare two
levels from
diff iv eg male
patients
select cases if
gender = 1 if
patients = 1
- test
interaction
between 2
at a level of
third factor
- Analyze-GLM>repeated measures
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