Skip to main content
. Author manuscript; available in PMC: 2017 Oct 1.
Published in final edited form as: J Mem Lang. 2016 Oct;90:31–48. doi: 10.1016/j.jml.2016.03.004

Table 3.

Regression coefficients (Betas) for logistic regressions predicting test accuracy from confidence ratings on each occurrence (1–6) of a word-object pairing

Pairing Type 1 2 3 4 5 6
Experiment 1

One-Word −0.053 −0.037 −0.021 0.014 0.081 0.16***
Two-Word −0.074* 0.024 0.022 −0.014 0.074* 0.043

Experiment 2

One-Word 0.024 −0.025 0.071 0.031 0.023 0.22***
Two-Word 1st −0.10* −0.026 −0.010 0.12* 0.099 0.14**
Two-Word 2nd −0.12* 0.043 −0.028 0.057 0.097* 0.05

Experiment 3

One-Language

One-Word 0.026 −0.0091 0.069 0.10 0.0082 0.042
Two-Word Cued −0.0016 −0.052 0.016 0.10 0.029 0.036
Two-Word Uncued −0.14 0.13 −0.029 0.047 −0.074 0.084
Multiple-Languages

One-Word 0.055 0.025 −0.040 0.048 0.019 0.10
Two-Word Cued 0.0072 0.036 −0.029 −0.011 0.071 0.11
Two-Word Uncued −0.088 0.077 −0.091 0.099 −0.013 0.23**

Note: In Experiments 1 and 2, there was no difference in overall performance across the One and Multiple Languages groups, so only the overall data patterns are presented.

p<0.07.

*

p < 0.05.

**

p < 0.01.

***

p < 0.001