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*IMPORTANT: Participant Nr. 11 (VPN --> subject number) has to be excluded from all analyses because this participant made an extreme number of errors (far out)
*Count or cnt --> number of correct Trials in the respective condition
*Sum or sum --> total sum of response times of correct responses in the respective condition
*s --> same order of responses in prime and probe
*d --> different order of responses in prime and probe
*RRRR, RRRC, RCRR, RCRC --> the first pair of letters refers to the first probe response;
*the second pair of letters refers to the second probe response:
*RR --> repetition from the prime, RC --> change from the prime
*1 --> the variable refers to the first response of the prime/probe
*I or i --> the variable refers to the prime sequence
*Fehler or E --> number of errors
*base --> number of trials that included only correct responses in prime response 1, prime response 2 (or 3 respectively), and probe response 1
*if the variable includes also a 1 --> number of trials that included only correct responses in prime response 1, prime response 2 (or 3 respectively)
*base_iE --> number of trials that were comparable to the trials in Experiment 1 and
*(all trials that could unambiguously be assigned to one of the eight conditions, resulting from the factors R1 relation, R2 relation, and temporal order of responses)
*RESPONSE TIMES (RT):
*computation of means per condition
compute rrrrRTmean_s=sSumRRRR/sCountRRRR.
compute rrrcRTmean_s=sSumRRRC/sCountRRRC.
compute rcrrRTmean_s=sSumRCRR/sCountRCRR.
compute rcrcRTmean_s=sSumRCRC/sCountRCRC.
compute rrrrRTmean_d=dSumRRRR/dCountRRRR.
compute rrrcRTmean_d=dSumRRRC/dCountRRRC.
compute rcrrRTmean_d=dSumRCRR/dCountRCRR.
compute rcrcRTmean_d=dSumRCRC/dCountRCRC.
exe.
*Error Rates (Fehler...proz):
computation of percent errors per condition
compute sFehlerRRRRproz=(sum(sFehlerRRRR)/base_FehlerRRRRs) * 100.
compute sFehlerRRRCproz=(sum(sFehlerRRRC)/base_FehlerRRRCs) * 100.
compute sFehlerRCRRproz=(sum(sFehlerRCRR)/base_FehlerRCRRs) * 100.
compute sFehlerRCRCproz=(sum(sFehlerRCRC)/base_FehlerRCRCs) * 100.
compute dFehlerRRRRproz=(sum(dFehlerRRRR)/base_FehlerRRRRd) * 100.
compute dFehlerRRRCproz=(sum(dFehlerRRRC)/base_FehlerRRRCd) * 100.
compute dFehlerRCRRproz=(sum(dFehlerRCRR)/base_FehlerRCRRd) * 100.
compute dFehlerRCRCproz=(sum(dFehlerRCRC)/base_FehlerRCRCd) * 100.
exe.
compute FehlerProz=sum(sFehlerRRRR,sFehlerRRRC,sFehlerRCRR,sFehlerRCRC,dFehlerRRRR,dFehlerRRRC,dFehlerRCRR,dFehlerRCRC)/
sum(base_FehlerRRRRs,base_FehlerRRRCs,base_FehlerRCRRs,base_FehlerRCRCs,base_FehlerRRRRd,base_FehlerRRRCd,base_FehlerRCRRd,base_FehlerRCRCd) * 100.
compute FehlerProz1=sum(sFehlerRRRR1,sFehlerRRRC1,sFehlerRCRR1,sFehlerRCRC1,dFehlerRRRR1,dFehlerRRRC1,dFehlerRCRR1,dFehlerRCRC1)/
sum(base_FehlerRRRR1s,base_FehlerRRRC1s,base_FehlerRCRR1s,base_FehlerRCRC1s,base_FehlerRRRR1d,base_FehlerRRRC1d,base_FehlerRCRR1d,base_FehlerRCRC1d) * 100.
compute iEproz = (iE/base_iE) * 100.
exe.
*percentage of trials that are not included into the RT-Analyses; basis are all tirals that were comparable to the trials in Experiment 1 and 2
*(of the eight conditions, resulting from the factors, R1 relation, R2 relation and temporal order of responses):
compute missProz=(1-(sum(sCountRRRR,sCountRCRR,sCountRRRC,sCountRCRC,dCountRRRR,dCountRCRR,
dCountRRRC,dCountRCRC)/base_iE))*100.
exe.
*percentage of trials that are comparable to those in Experiments 1 and 2:
compute Proz_rrbTrials = (base_iE/460) * 100.
exe.
*outlier check for errors:
EXAMINE VARIABLES=FehlerProz FehlerProz1 iEproz
/PLOT BOXPLOT STEMLEAF
/COMPARE GROUPS
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
*Analyses Experiment 3:
temp.
sel if (Vpn<>11).
DESCRIPTIVES VARIABLES=missProz FehlerProz FehlerProz1 iEproz Proz_rrbTrials
/STATISTICS=MEAN STDDEV MIN MAX.
exe.
*2 (R1 relation: repetition vs. change) × 2 (R2 relation: repetition vs. change) × 2 (temporal re-sponse order in prime and probe: same vs. different) MANOVA on probe response R2 RTs
temp.
sel if (Vpn<>11).
GLM rrrrRTmean_s rrrcRTmean_s rcrrRTmean_s rcrcRTmean_s rrrrRTmean_d rrrcRTmean_d rcrrRTmean_d
rcrcRTmean_d
/WSFACTOR=order 2 Polynomial R1 2 Polynomial R2 2 Polynomial
/METHOD=SSTYPE(3)
/PRINT=DESCRIPTIVE ETASQ
/CRITERIA=ALPHA(.05)
/WSDESIGN=order R1 R2 order*R1 order*R2 R1*R2 order*R1*R2.
*2 (R1 relation: repetition vs. change) × 2 (R2 relation: repetition vs. change) × 2 (temporal re-sponse order in prime and probe: same vs. different) MANOVA on probe response R2 error rates
temp.
sel if (Vpn<>11).
GLM sFehlerRRRRproz sFehlerRRRCproz sFehlerRCRRproz sFehlerRCRCproz dFehlerRRRRproz dFehlerRRRCproz
dFehlerRCRRproz dFehlerRCRCproz
/WSFACTOR=order 2 Polynomial R1 2 Polynomial R2 2 Polynomial
/METHOD=SSTYPE(3)
/PRINT=DESCRIPTIVE ETASQ
/CRITERIA=ALPHA(.05)
/WSDESIGN=order R1 R2 order*R1 order*R2 R1*R2 order*R1*R2.