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  1. J

    Correct interpretation of Lmer output

    I have produced the following model lmer(TotalPayoff~PgvnD*Type+Type*Asym+PgvnD*Asym+Game*Type+Game*PgvnD+Game*Asym+(1|Subject)+(1|Pairing),REML=FALSE,data=table1)->m1 PgvnD=A percentage (numeric) Asym= a factor 0 or 1 Type=a factor 1 or 2 Game= a factor 1 or 2 from this model the terms...
  2. J

    Correct structuring of random effects?

    Hi I have produced a mixed effects model as follows; lmer(TotalPayoff~Type+Game+PgvnD*Asym+(1|Subject)+(1|Pairing),REML=FALSE,data=table1)- each pairing contains 2 subjects and each Subject is in 2 different pairings with different subjects. Have I structured the random effects in the...
  3. J

    Standard Deviation of Random effect is 0?

    have a model with two random effects lmer(TotalPayoff~Type+Game+PgvnD*Asym+(1|Subject)+(1|Pairing),REML=FALSE,data=table)->m1 each pairing contains 2 subjects and each Subject is in 2 different pairings with different subjects. For some reason the subject random effect has SD =0 I do not...
  4. J

    Multiple comparisons correction help

    Hi, I have already asked a similar question but did not explain my problem in entirety. Any help would be greatly appreciated! I am analyzing some data to which I think I need to make some kind of multiple comparisons correction. The data comes from an economic game (Dictator game) and is the...
  5. J

    Multiple comparisons of economic game data

    Hi, Any help would be greatly appreciated! I am analyzing some data to which I think I need to make some kind of multiple comparisons correction. The data comes from an economic game (Dictator game) and is the form of donations made by subjects ranging from $ 0.00 to $ 0.50 (can be any $ 0.01...