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Table 2

Effect size for main effect of statistical word segmentation.

OriginalReplicationIncluded in Figure 4 

 
SNA96-1a part-word condition – chance 15 ** 12 yes 
Nonword condition – chance 26 ** 15 *** yes 
bupabi – chance 24 *** 57  no 
SNA96-1b part-word condition – chance 15 ** 18 *** yes 
Nonword condition – chance 26 ** 20 *** yes 
bupabi 24 *** 71 *** no 
SNA96-1c part-word condition – chance 15 **  yes 
Nonword condition – chance 26 **  yes 
SJAN99-1 Language One – chance 24 17 *** yes 
Language Two – chance 30 18 *** yes 
SJAN99-2 Language One – chance 14 11 *** yes 
Language Three – chance 16 12 *** yes 
FHK08-1 Nonword control – chance 19 21 *** yes 
Nonword experimental – chance 25 12 yes 
Split-word control – chance 14 12 ** yes 
Split-word experimental – chance –1   yes 
FHK08-3 Nonword – chance 18 12 yes 
Split-word – chance   yes 
FGGT10 part-word – chance 29 24 yes 
OriginalReplicationIncluded in Figure 4 

 
SNA96-1a part-word condition – chance 15 ** 12 yes 
Nonword condition – chance 26 ** 15 *** yes 
bupabi – chance 24 *** 57  no 
SNA96-1b part-word condition – chance 15 ** 18 *** yes 
Nonword condition – chance 26 ** 20 *** yes 
bupabi 24 *** 71 *** no 
SNA96-1c part-word condition – chance 15 **  yes 
Nonword condition – chance 26 **  yes 
SJAN99-1 Language One – chance 24 17 *** yes 
Language Two – chance 30 18 *** yes 
SJAN99-2 Language One – chance 14 11 *** yes 
Language Three – chance 16 12 *** yes 
FHK08-1 Nonword control – chance 19 21 *** yes 
Nonword experimental – chance 25 12 yes 
Split-word control – chance 14 12 ** yes 
Split-word experimental – chance –1   yes 
FHK08-3 Nonword – chance 18 12 yes 
Split-word – chance   yes 
FGGT10 part-word – chance 29 24 yes 

Note: Asterisks represent significant difference (*p < .05,**p < .01,***p < .001) and are based on the revised analyses (binomial mixed effects models) for the replications. Effect sizes are differences in percent correct. Data here reflect results after excluding subjects with poor catch trial accuracy, except for SNA96-1c where there were no catch trials. In all but one case, we calculated main effects by investigating the mean of subject means. For Frank et al. (2010), we never calculated these means, so we estimated the main effects by applying the reverse logit function on the intercept for the continuous-sentence-length model.

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