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. Author manuscript; available in PMC: 2016 Aug 1.
Published in final edited form as: J Mem Lang. 2015 Aug 1;83:118–139. doi: 10.1016/j.jml.2015.04.005

Table 4.

Results of the logistic regression model for fixation probability measures on the target across condition. Preview benefit refers to the difference in processing between the unrelated condition and either the identical, synonym or semantically related, separately. Significant effects are indicated by boldface.

Measure Comparison b |z| p
Fixation Probability
Intercept 1.80 10.11 < .001
Identical −0.29 1.96 .05
Synonym −0.49 3.50 < .001
Semantic −0.17 1.06 .29
Regressions out of the Target
Intercept −2.41 13.23 < .001
Identical −.31 1.58 .11
Synonym −.38 1.73 .08
Semantic .16 0.93 .35
Regressions into the Target
Intercept −1.61 11.56 < .001
Identical −.38 2.44 < .05
Synonym .16 1.27 .20
Semantic .22 1.69 .09