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. Author manuscript; available in PMC: 2014 Nov 6.
Published in final edited form as: Life Sci J. 2013 Sep 25;10(3):349.

Table 2.

Summary of Hierarchical Regression Analysis for Variables Predicting Post-Traumatic Stress Disorder (N = 125)

Model 1 Model 2 Model 3

Variable B SE B β B SE B β B SE B β

Prestress Poverty .111 .199 .069 .096 .196 .060 .089 .193 .055

Prestress Sex Abuse −.066 .269 −.032 .075 .265 −.037 −1.08 .262 −.053

PostPoverty .968 .325 .614** .1.051 .324 .667** 1.105 .320 .701***

PostSex abuse .763 .392 .346* .810 .388 .368* .831 .382 .377*

Poststress Total .434 .197 .644** .471 .195 .700** .496 .193 .737***

 Constant 42.45 7.201 - 36.12 7.702 -

 Prestress Threat to life .192 .153 .158 .226 .151 .186

GHQ B (Anxty & Insomnia) .755 .377 .174* .431 .402 .100

GHQ C (Social Dysfunctn .744 .352 .196*

R. 0.329 0.371 .412
R2
0.108 0.138 .170
Change R2
0.108 0.030 .032
F 2.383* 2.666** 2.960***
*

p < .05.

**

p < .01.

***

p < .001. (Durbin Watson = 2.252)