Table 7.
Results from hierarchical linear modeling (N=114 observations).
| Variables | Model 1a | Model 2b | ||||||||
|
|
OLSc (clustered SEd,e) | P values | Mixed modelf,g | P values | OLS (clustered SEd,h) | P values | Mixed modelf,g | P values | ||
| Constant | 2.162 (1.013) | .04 | 2.162 (1.851) | .24 | 4.278 (0.898) | <.001 | 4.278 (1.462) | .003 | ||
| AI assistance | –0.105 (0.185) | .57 | –0.105 (0.167) | .53 | –0.421 (0.192) | .03 | –0.421 (0.175) | .02 | ||
| Personal technological traits | ||||||||||
|
|
Technology habit | 0.232 (0.104) | .03 | 0.232 (0.137) | .09 | 0.244 (0.0803) | .004 | 0.244 (0.108) | .02 | |
|
|
Personal innovativeness | –0.227 (0.202) | .27 | –0.227 (0.197) | .25 | –0.0234 (0.157) | .88 | –0.0234 (0.155) | .89 | |
|
|
Computer literacy | –0.161 (0.181) | .38 | –0.161 (0.157) | .31 | –0.257 (0.111) | .02 | –0.257 (0.124) | .04 | |
| Control variables | ||||||||||
|
|
Female gender | –0.202 (0.615) | .74 | –0.202 (0.575) | .73 | 0.0792 (0.495) | .87 | 0.0792 (0.454) | .86 | |
|
|
Age: 18-25 years | 1.885 (0.892) | .04 | 1.885 (1.473) | .20 | –0.910 (0.825) | .28 | –0.910 (1.163) | .43 | |
|
|
Age: 26-40 years | 2.339 (0.782) | .004 | 2.339 (1.294) | .07 | –0.236 (0.704_ | .74 | –0.236 (1.021) | .82 | |
|
|
Age: 41-55 years | 2.428 (0.802) | .004 | 2.428 (1.321) | .07 | 0.102 (0.683) | .88 | 0.102 (1.042) | .92 | |
|
|
Race: African American | –0.0232 (0.540) | .97 | –0.0232 (0.842) | .98 | 0.00592 (0.615) | .99 | 0.00592 (0.664) | .99 | |
|
|
Race: Asian | –0.419 (0.687) | .55 | –0.419 (1.106) | .71 | –0.0125 (0.745) | .99 | –0.0125 (0.873) | .99 | |
|
|
Race: Native Hawaiian/Pacific Islander | 1.067 (0.672) | .12 | 1.067 (1.514) | .48 | 0.708 (0.724) | .33 | 0.708 (1.195) | .55 | |
|
|
Race: White | –0.0132 (0.417) | .98 | –0.0132 (0.780) | .99 | 0.113 (0.545) | .84 | 0.113 (0.615) | .85 | |
|
|
Race: Other | 0.209 (0.631) | .74 | 0.209 (0.826) | .80 | 0.644 (0.614) | .30 | 0.644 (0.652) | .32 | |
|
|
Education: Bachelor’s degree | 1.880 (0.600) | .003 | 1.880 (1.044) | .07 | 1.584 (0.495) | .002 | 1.584 (0.824) | .06 | |
|
|
Education: Master’s degree | 1.586 (0.738) | .04 | 1.586 (1.128) | .16 | 1.014 (0.586) | .09 | 1.014 (0.890) | .25 | |
|
|
Education: PhD | 0.380 (0.935) | .69 | 0.380 (1.245) | .76 | –0.158 (0.764) | .84 | –0.158 (0.982) | .87 | |
|
|
Occupational status: working full time | –0.345 (0.413) | .41 | –0.345 (0.790) | .66 | –0.128 (0.439) | .77 | –0.128 (0.623) | .84 | |
|
|
Occupational status: working part time | 0.332 (0.425) | .44 | 0.332 (0.801) | .68 | 0.326 (0.448) | .47 | 0.326 (0.632) | .61 | |
|
|
Occupational status: unemployed | –0.760 (0.485) | .12 | –0.760 (1.031) | .46 | –0.719 (0.698) | .31 | –0.719 (0.813) | .38 | |
|
|
Urban | –0.451 (0.433) | .30 | –0.451 (0.512) | .38 | –0.472 (0.409) | .25 | –0.472 (0.404) | .24 | |
aDependent variable: diagnostic performance.
bDependent variable: clinical task performance.
cOLS: ordinary least squares.
dRobust standard errors are clustered by each participant.
eR2=0.347.
f57 groups (clusters).
gVariance structures were specified using unstructured, identify, and exchangeable, respectively, and results qualitatively remained the same.
hR2=0.412.