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. 2021 Sep 28;48(2):395–404. doi: 10.1093/schbul/sbab115

Table 2.

Descriptive Statistics of Predictor Variables in the NAPLS3a and NAPLS2 Samples That Were Found to Be Associated With Remission During the Elastic Net Regularization Feature Selection Process

NAPLS3 NAPLS2
Remitters Nonremitters Test Statistic P Value Remitters Nonremitters Test Statistic P Value
Variable N Mean (SD) N Mean (SD) t/χ 2 (df) N Mean (SD) N Mean (SD) t/χ 2 (df)
Suspiciousness/ persecutory ideas 75 2.68 (1.47) 493 3.16 (1.33) t(93.4) = 2.7 .009 94 2.11 (1.48) 459 2.86 (1.49) t(134.5) = 4.5 <.001
Trouble with focus/ attention 75 2.23 (1.29) 493 2.64 (1.3) t(98.2) = 2.6 .01 94 2.33 (1.28) 459 2.75 (1.24) t(131.4) = 2.9 .004
Unusual thought content/delusional ideas 75 3.56 (1.08) 493 3.77 (1.02) t(95.1) = 1.6 .11b 94 2.78 (1.54) 459 3.46 (1.25) t(119.3) = 4.1 <.001
Impaired tolerance to normal stress 75 2.28 (1.83) 493 2.98 (1.89) t(99.3) = 3.1 .003 94 2.41 (1.95) 459 2.81 (1.86) t(129.9) = 1.8 .07
Guilty ideas of reference 75 0.24 (0.54) 493 0.41 (0.71) t(117.2) = 2.4 .02 94 0.3 (0.62) 459 0.41 (0.72) t(148.7) = 1.6 .12
Decreased ideational richness 75 0.88 (1.17) 493 1.23 (1.28) t(102.6) = 2.3 .02 94 0.96 (1.24) 459 1.21 (1.33) t(140.3) = 1.8 .07
Motor disturbances 75 0.52 (0.89) 493 0.97 (1.07) t(109.5) = 3.9 <.001 94 0.67 (1.08) 459 0.9 (1.05) t(131.4) = 1.8 .07
Early wakening 75 0.31 (0.72) 493 0.51 (0.88) t(110.6) = 2.2 .03 94 0.37 (0.82) 459 0.38 (0.8) t(132.2) = 0.05 .96
Impairment in personal hygiene 75 0.48 (0.91) 493 0.87 (1.27) t(123.2) = 3.3 .001 94 0.62 (1.17) 459 0.81 (1.22) t(137.5) = 1.4 .16

Bold values indicate significant differences between remitters and non-remitters at the significance level of p = 0.05.

aNAPLS = North American Prodrome Longitudinal Study.

bAlthough “unusual thought content/delusional ideas” was selected as a significant predictor of remission in the feature selection process, the group means did not differ between remitters and nonremitters. The elastic net model fits multiple variables simultaneously and may select features that account for variance in a multivariable context but do not differ in a univariate context.