Difference between revisions of "Gamefmri:Individual Differences Analysis"
(→2008/07/16 notes) |
(→2008/07/16 notes) |
||
Line 34: | Line 34: | ||
; model : kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst | ; model : kills.damage + averTravel + CanRelDeath_pst + ChemoImpt_pst | ||
+ | |||
+ | ==== 5 variable model seems best ==== | ||
+ | |||
+ | ; 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 == | == Notes == |
Latest revision as of 01:13, 17 July 2008
Contents
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.