Different interaction p-values in R versus SPSS

Question

I originally ran my data in SPSS because figuring out the lmer package took some time for me to learn. I spent a few weeks writing up a script in R, but my output in R is different than what I'm getting using SPSS.

I have 3 Fixed Effects: Group, Session, and TrialType.

When I ran a mixed model in SPSS, I got the interaction Group*Session p=.08 OR p=.02, depending on which covariance structure I used. This is partly the reason I wanted to use R, because I didn't have enough information to help me decide which structure to use.

Here are my models in R. I'm using Log Likelihood Test to get a p-value for this Group*Session interaction.

 Mod2 = lmer(accuracy ~ group*session*trialtype + (trialtype|subject), REML=F, data=data, 
        control = lmerControl(optimizer = "optimx", optCtrl=list(method='L-BFGS-B'))))
 Mod5 = lmer(accuracy ~ session + trialtype + group + session*trialtype + trialtype*group + (trialtype|subject), 
        data=data, REML=FALSE,
        control = lmerControl(optimizer = "optimx", optCtrl=list(method='L-BFGS-B')))

 anova(Mod2, Mod5)

 Data: data
 Models:
 Mod5: accuracy ~ session + trialtype + group + session * trialtype + 
 Mod5:     trialtype * group + (trialtype | subject)
 Mod2: accuracy ~ group * session * trialtype + (trialtype | subject)
 Df     AIC     BIC logLik deviance  Chisq Chi Df Pr(>Chisq)
 Mod5 23 -961.32 -855.74 503.66  -1007.3                         
 Mod2 27 -956.32 -832.38 505.16  -1010.3 2.9989      4      0.558

I'll also note that I added the lmerControl based on the 2 warning/error messages I was getting. When I added, this, I got the singular boundary warning message.

Please comment if I need to specify additional information. Thank you!

Here is my syntax from SPSS:

 MIXED Acc BY Test TrialType Group
   /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0,
ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
   /FIXED=Test TrialType Group Test*TrialType Test*Group TrialType*Group Test*TrialType*Group |
SSTYPE(3)
   /METHOD=ML
   /PRINT=COVB DESCRIPTIVES G  SOLUTION
   /RANDOM=INTERCEPT TrialType | SUBJECT(Subject) COVTYPE(CS)
   /REPEATED=Test | SUBJECT(Subject) COVTYPE(ID).