3. Wald test for trajectory parameters by known class variable One Event Mult. Events df Wald Test p Class 1 Intercept 6.133 6.597 1 0.956 0.328 – Chronic Depression Slope -0.126 0.281 0.176 0.675 Quadratic -0.075 -0.297 0.509 0.475 Class 2 Intercept 1.789 1.373 1 0.400 0.527 – Depressed - Improved Slope 2.918 4.895 0.152 0.696 Quadratic -0.695 -1.168 0.211 0.646 Class 3 Intercept 4.654 3.950 1 0.624 0.430 – Emergent Depression Slope -2.837 -2.358 10.071 0.001** Quadratic 0.754 0.583 6.124 0.013* Class 4 - Intercept 0.813 0.686 1 0.932 0.334 Resilient 0.193 0.940 3.538 0.060 Quadratic -0.002 -0.195 1.591 0.207 Overall test 12 28.46 0.004**
3. Wald test for trajectory parameters by known class variable One Event Mult. Events df Wald Test p Class 1 – Chronic Depression Intercept Slope Quadratic 6.133 -0.126 -0.075 6.597 0.281 -0.297 1 0.956 0.176 0.509 0.328 0.675 0.475 Class 2 – Depressed - Improved Intercept Slope Quadratic 1.789 2.918 -0.695 1.373 4.895 -1.168 1 0.400 0.152 0.211 0.527 0.696 0.646 Class 3 – Emergent Depression Intercept Slope Quadratic 4.654 -2.837 0.754 3.950 -2.358 0.583 1 0.624 10.071 6.124 0.430 0.001** 0.013* Class 4 - Resilient Intercept Quadratic 0.813 0.193 -0.002 0.686 0.940 -0.195 1 0.932 3.538 1.591 0.334 0.060 0.207 Overall test 12 28.46 0.004**
Morin,-Galatzer-Levy,-Maccallum,-Bonanno-HP-Final.docx