Table 4.
Fixed effects from the generalized mixed-effects logistic regression model predicting autocorrect errors
| Word Type | Term | Beta | Std error | χ2 | p value |
|---|---|---|---|---|---|
| All target words collapsed | Intercept | −2.477 | 0.158 | 245.292 | <0.001 |
| Paragraph Type | 0.587 | 0.17 | 11.902 | <0.001 | |
| Part of Speech | 1.039 | 0.19 | 30.012 | <0.001 | |
| Tau/Aβ42 ratio | 0.601 | 0.243 | 6.12 | 0.013 | |
| Reading Times | −0.074 | 0.092 | 0.637 | 0.425 | |
| Interval between Biomarker & Autocorrect Task | −0.068 | 0.085 | 0.642 | 0.423 | |
| Age | 0.129 | 0.088 | 2.128 | 0.145 | |
| Sex = Male | −0.364 | 0.173 | 4.438 | 0.035 | |
| Education | −0.168 | 0.095 | 3.12 | 0.077 | |
| APOE-4 status = Absent | −0.195 | 0.184 | 1.127 | 0.288 | |
| Edit Distance | −1.047 | 0.107 | 95.072 | <0.001 | |
| Word Length | 0.205 | 0.086 | 5.731 | 0.017 | |
| Paragraph Type x Part of Speech | −0.443 | 0.318 | 1.943 | 0.163 | |
| Paragraph Type x Tau/Aβ42 ratio | −0.145 | 0.297 | 0.239 | 0.625 | |
| Part of Speech x Tau/Aβ42 ratio | 0.176 | 0.303 | 0.337 | 0.562 | |
| Paragraph Type x Part of Speech x Tau/Aβ42 ratio | 0.237 | 0.517 | 0.21 | 0.647 | |
| Dominant Function Words | Intercept | −1.845 | 0.294 | 39.257 | < .001 |
| Tau/Aβ42 ratio | 0.673 | 0.241 | 7.82 | 0.005 | |
| Reading Times | −0.181 | 0.129 | 1.974 | 0.160 | |
| Interval between Biomarker & Autocorrect Task | −0.12 | 0.094 | 1.621 | 0.203 | |
| Age | 0.189 | 0.099 | 3.666 | 0.056 | |
| Sex = Male | −0.382 | 0.195 | 3.826 | 0.050 | |
| Education | −0.275 | 0.103 | 7.169 | 0.007 | |
| APOE-4 status = Absent | −0.147 | 0.205 | 0.509 | 0.476 | |
| Edit Distance | −1.407 | 0.232 | 36.733 | < .001 | |
| Word Length | 0.524 | 0.166 | 9.937 | 0.002 a | |
| Dominant Content words | Intercept | −2.579 | 0.323 | 63.929 | < .001 |
| Tau/Aβ42 ratio | 0.724 | 0.442 | 2.684 | 0.101 | |
| Reading Times | 0.018 | 0.154 | 0.014 | 0.905 | |
| Interval between Biomarker & Autocorrect Task | 0.016 | 0.139 | 0.013 | 0.911 | |
| Age | −0.002 | 0.148 | 0 | 0.987 | |
| Sex = Male | −0.313 | 0.276 | 1.29 | 0.256 | |
| Education | 0.135 | 0.146 | 0.856 | 0.355 | |
| APOE-4 status = Absent | −0.275 | 0.295 | 0.874 | 0.350 | |
| Edit Distance | −0.814 | 0.231 | 12.411 | < .001 | |
| Word Length | 0.007 | 0.171 | 0.002 | 0.968 | |
| Nondominant Function Words | Intercept | −2.214 | 0.406 | 29.749 | < .001 |
| Tau/Aβ42 ratio | 0.52 | 0.352 | 2.187 | 0.139 | |
| Reading Times | 0.369 | 0.167 | 4.891 | 0.027 | |
| Interval between Biomarker & Autocorrect Task | −0.179 | 0.124 | 2.082 | 0.149 | |
| Age | 0.215 | 0.136 | 2.485 | 0.115 | |
| Sex = Male | −0.201 | 0.262 | 0.59 | 0.443 | |
| Education | 0.096 | 0.14 | 0.474 | 0.491 | |
| APOE-4 status = Absent | −0.514 | 0.276 | 3.47 | 0.062 | |
| Edit Distance | −1.021 | 0.228 | 20.092 | < .001 | |
| Word Length | 0.16 | 0.284 | 0.318 | 0.573 | |
| Nondominant Content Words | Intercept | −3.376 | 0.351 | 92.736 | < .001 |
| Tau/Aβ42 ratio | 0.803 | 0.505 | 2.527 | 0.112 | |
| Reading Times | 0.414 | 0.215 | 3.697 | 0.055 | |
| Interval between Biomarker & Autocorrect Task | −0.298 | 0.194 | 2.364 | 0.124 | |
| Age | 0.173 | 0.202 | 0.726 | 0.394 | |
| Sex = Male | −0.185 | 0.411 | 0.203 | 0.652 | |
| Education | −0.031 | 0.21 | 0.021 | 0.884 | |
| APOE-4 status = Absent | −0.564 | 0.427 | 1.742 | 0.187 | |
| Edit Distance | −1.122 | 0.287 | 15.308 | < .001 | |
| Word Length | 0.132 | 0.206 | 0.415 | 0.520 |
This effect was in the opposite direction as the overall length effect (shown in Figure 1c). However, after removing two long targets (though/through; always/around) the effect was no longer significant. We did not experimentally manipulate or control target word length or edit distance, as such these effects must be interpreted with caution.