Difference between revisions of "Gamefmri:Individual Differences Analysis"

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(2008/07/16 notes)
(2008/07/16 notes)
 
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; model : kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst
 
; model : kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst
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==== 5 variable model seems best ====
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; model : kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst + ChemoGood_pst
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'''notes'''
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correlation between ChemoImpt_pst and ChemoGood_pst, r = .27, p = .081
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not a strong correlation.
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ChemoVital_pst is too strongly correlated with ChemoImpt_pst
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this model has the highest Adjusted R Squared value R2 adjusted = 0.3115, while adding additional variables makes it worse and removing variables also makes it worse.
  
 
== Notes ==
 
== Notes ==

Latest revision as of 01:13, 17 July 2008

2008/07/14 notes[edit]

Goals[edit]

  • address colinearity of chemotherapy attitudinal measures
  • investigate self-report measures of fun and performance during fMRI task
  • incorporate above analysis into an individual differences regression

2008/07/16 notes[edit]

Results[edit]

6 variable model[edit]

model 
Regression Coefficients = kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst + ChemoGood_pst + ChemoVital_pst
note 
This model is susceptible to collinearity between ChemoImpt_pst and ChemoVital_pst. Also possibble collinearity with ChemoGood_pst

5 variable model[edit]

model 
Regression Coefficients = kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst + ChemoGood_pst
note 
This model is susceptible to collinearity between ChemoImpt_pst and ChemoGood_pst

5 variable model 2[edit]

model 
Regression Coefficient = Performance + fmri_Fun + averTravel + CanRelDeath_pst + ChemoImpt_pst

doesn't seem good based on hippocampal analysis

4 variable model[edit]

model 
kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst

5 variable model seems best[edit]

model 
kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst + ChemoGood_pst

notes

correlation between ChemoImpt_pst and ChemoGood_pst, r = .27, p = .081

not a strong correlation.

ChemoVital_pst is too strongly correlated with ChemoImpt_pst

this model has the highest Adjusted R Squared value R2 adjusted = 0.3115, while adding additional variables makes it worse and removing variables also makes it worse.

Notes[edit]

lm(onset.2 + onset.3 ~ kills.damage + fMRIFun_pst + averTravel + CanRelDeath_pst + ChemoImpt_pst)

does not generate a stronger R squared than

lm(onset.2 + onset.3 ~ kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst)

kills.damage is a better variable than Performance_pst

kills.damage does not correlate with Performance_pst, p ~ .8

Combined Chemo_score does not work well

Chemo_score = ChemoImpt_pst + ChemoVital_pst + ChemoGood_pst + ChemoPos_pst

Chemo_score = ChemoImpt_pst + ChemoVital_pst : 2 variable works slightly better than the 4 variable combination

Question 
What does the hopelab behavioral study say about these measures.