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. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: Psychol Assess. 2018 Mar 19;30(6):809–826. doi: 10.1037/pas0000529

Table 6.

Multiple linear regression models predicting item difficulty parameters from lexical properties. The linear coefficient associated with each predictor in each of the regression models is given in the corresponding cell. The strongest simple linear predictor is shaded. Item difficulty parameters are measured on a logit scale; the Word-T parameter is measured as a probability.

Intercept Lexical Property Model fit
LexFreq PhonLeng PhonDens df rmse simple R2


Item Difficulty Attempt −0.04 −0.15 −0.24 172 .59 .29
LexSem −1.03 −0.14 173 .74 .05
LexPhon −0.49 −0.24 173 .47 .29
LexSel −2.04 −0.17 +1.03 172 .79 .28
Phon −0.26 −0.19 +0.42 −0.32 171 .41 .66
Word−T 0.01 +0.10 173 .13 .47