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. 2016 Dec 16;11(12):e0166752. doi: 10.1371/journal.pone.0166752

Table 4. Change Estimates for Self-Report Measures.

Measures
Variable Linear/Ln Change ΔPre-PST effect-size (d) ΔPST-FU effect-size (d)
UCC Model Condition (per week) Pre-Pst Pst-FU
Con x Time Est. (95%CI) Est. (95%CI) Est. (95%CI)
Davidson Trauma Scale (DTS)
Linear WL -0.4 (-0.97, 0.17) -4.76 (-11.6, 2.07) -0.19 -1.59 (-3.87, 0.69) -0.06
Con x Time NF -1.92 (-2.47, -1.37) -23.08 (-29.68, -16.48) -0.92 -7.69 (-9.89, -5.49) -0.31
p< .001 Difference -1.53 (-2.32, -0.74) -18.32 (-27.82, -8.82) -0.73 -6.11 (-9.27, -2.94) -0.24
Difference d -1.16 -0.73 -0.24
IASC interpersonal conflicts
Linear WL -0.07 (-0.23, 0.08) -0.9 (-2.8, 1) -0.15 -0.3 (-0.93, 0.33) -0.05
Con x Time NF -0.16 (-0.31, 0) -1.89 (-3.74, -0.03) -0.32 -0.63 (-1.25, -0.01) -0.11
p = .456 Difference -0.08 (-0.3, 0.14) -0.99 (-3.64, 1.67) -0.17 -0.33 (-1.21, 0.56) -0.06
Difference d -0.23 -0.17 -0.06
IASC tension reduction activities
Natural Log WL 0.2 (-0.51, 0.91) 0.51 (-1.31, 2.32) 0.11 0.05 (-0.14, 0.24) 0.01
Con x Time NF -1.18 (-1.87, -0.49) -3.03 (-4.81, -1.26) -0.64 -0.32 (-0.50, -0.13) -0.07
p = .007 Difference -1.38 (-2.37, -0.39) -3.54 (-6.08, -1.00) -0.75 -0.37 (-0.64, -0.11) -0.08
Difference d -0.86 -0.75 -0.08
IASC affect dysregulation total
Linear WL -0.09 (-0.28, 0.11) -1.02 (-3.36, 1.32) -0.15 -0.34 (-1.12, 0.44) -0.05
Con x Time NF -0.39 (-0.58, -0.2) -4.7 (-6.97, -2.42) -0.67 -1.57 (-2.32, -0.81) -0.22
p = .028 Difference -0.31 (-0.58, -0.03) -3.68 (-6.94, -0.41) -0.53 -1.23 (-2.31, -0.14) -0.18
Difference d -0.68 -0.53 -0.18
IASC affect skill deficits
Linear WL Est. (95%CI) Est. (95%CI) Est. (95%CI)
Con x Time NF -0.05 (-0.17, 0.08) -0.55 (-2.05, 0.96) -0.12 -0.18 (-0.68, 0.32) -0.04
p = .045 Difference -0.22 (-0.35, -0.10) -2.69 (-4.15, -1.23) -0.59 -0.9 (-1.38, -0.41) -0.20
Difference d -0.18 (-0.35, -0.003) -2.14 (-4.24, -0.05) -0.47 -0.71 (-1.41, -0.02) -0.16
-0.63 -0.47 -0.16
IASC affect instability
Linear WL -0.04 (-0.13, 0.05) -0.46 (-1.56, 0.64) -0.14 -0.15 (-0.52, 0.21) -0.05
Con x Time NF -0.16 (-0.25, -0.08) -1.97 (-3.04, -0.90) -0.58 -0.66 (-1.01, -0.30) -0.19
p = .053 Difference -0.13 (-0.25, 0.001) -1.51 (-3.04, 0.02) -0.45 -0.5 (-1.01, 0.01) -0.15
Difference d -0.60 -0.45 -0.15
IASC identity impairment total
Linear WL -0.04 (-0.25, 0.16) -0.50 (-2.97, 1.96) -0.06 -0.17 (-0.99, 0.65) -0.02
Con x Time NF -0.28 (-0.48, -0.07) -3.30 (-5.72, -0.88) -0.41 -1.10 (-1.91, -0.29) -0.14
p = .110 Difference -0.23 (-0.52, 0.05) -2.80 (-6.25, 0.66) -0.35 -0.93 (-2.08, 0.22) -0.12
Difference d -0.51 -0.35 -0.12
IASC idealization-disillusionment
Linear WL -0.01 (-0.18, 0.15) -0.14 (-2.12, 1.83) -0.02 -0.05 (-0.71, 0.61) -0.01
Con x Time NF -0.2 (-0.36, -0.04) -2.39 (-4.32, -0.46) -0.35 -0.8 (-1.44, -0.15) -0.12
p = .109 Difference -0.19 (-0.42, 0.04) -2.24 (-5.01, 0.52) -0.33 -0.75 (-1.67, 0.17) -0.11
Difference d -0.50 -0.33 -0.11
IASC abandonment concerns
Natural Log WL -0.05 (-1.19, 1.09) -0.13 (-3.05, 2.79) -0.02 -0.01 (-0.32, 0.29) 0.00
Con x Time NF -1.72 (-2.84, -0.60) -4.42 (-7.28, -1.55) -0.59 -0.46 (-0.76, -0.16) -0.06
p = .041 Difference -1.67 (-3.27, -0.07) -4.29 (-8.38, -0.19) -0.57 -0.45 (-0.88, -0.02) -0.06
Difference d -0.62 -0.57 -0.06
IASC susceptibility to influence
Linear WL -0.07 (-0.25, 0.10) -0.88 (-3.00, 1.23) -0.12 -0.29 (-1.00, 0.41) -0.04
Con x Time NF -0.28 (-0.45, -0.11) -3.35 (-5.41, -1.29) -0.44 -1.12 (-1.80, -0.43) -0.15
p = .099 Difference -0.21 (-0.45, 0.04) -2.47 (-5.42, 0.49) -0.33 -0.82 (-1.81, 0.16) -0.11
Difference d -0.51 -0.33 -0.11

Note: WL = waitlist condition, NF = Neurofeedback condition, Est. = estimate, 95%CI = 95% Confidence Interval, d = effect size indicator with .2, .5, and .8 indicating small, medium, and large effect sizes, ΔPre-Pst(1M) = the estimate of total change from the pre-treatment to the 1-month post-treatment assessment, NA = Not Applicable (there is not quadratic estimate for linear and natural-log change models). The far left column denotes the outcome (underlined), the unconditional model (UCC) that best fit the data (linear, quadratic, or natural log), and the significance of the overall time x condition interaction (con x time). Z–because quadratic change models involve two change parameters (linear, quadratic) the 95% confidence intervals for these models could not be calculated.