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. 2006 Feb 9;32(2):378–395. doi: 10.1093/schbul/sbi056

Table 4.

Work Probabilities and Income Earned From Competitive Jobs Over Time by Program

Model 1: Unconditional Means
Model 2: Unconditional Growth
Model 3: Program × Time
Model 4: Vocational Servicesa
Model 5: Mental Health Servicesa
Parameter Est (SE) P Value Est (SE) P Value Est (SE) P Value Est (SE) P Value Est (SE) P Value
Probability of working (logistic component)
 Intercept −2.35 (0.33) <.001 −1.65 (0.37) <.001 −2.13 (0.52) <.001 −2.31 (0.55) <.001 −2.34 (0.56) <.001
 Time 0.32 (0.07) <.001 0.74 (0.14) <.001 0.80 (0.15) <.001 0.77 (0.14) <.001
 Program (1 = ACT-IPS, 0 = SEP) 1.31 (0.65) .046 1.29 (0.67) .057 1.28 (0.67) .06
 Program × Time interaction −0.63 (0.17) <.001 −0.63 (0.17) <.001 −0.62 (0.17) <.001
 Covariateb 0.031 (0.013) .015 0.016 (0.010) .11
 Random intercept 6.71 (1.74) <.001 7.52 (1.95) <.001 6.35 (1.67) <.001 6.88 (1.88) <.001 6.82 (1.84) <.001
Income from competitive job (lognormal component)
 Intercept 5.58 (0.25) <.001 5.86 (0.26) <.001 5.30 (0.39) <.001 5.32 (0.39) <.001 5.23 (0.40) <.001
 Time 0.14 (0.04) .001 0.15 (0.10) .11 0.14 (0.10) .15 0.16 (0.10) .10
 Program (1 = ACT-IPS, 0 = SEP) 1.10 (0.38) .005 1.12 (0.38) .003 1.11 (0.39) .005
 Program × time interaction −0.009 (0.11) .93 −0.013 (0.11) .90 −0.002 (0.11) .99
 Covariateb −0.006 (0.01) .39 0.004 (0.005) .51
 Residual (within participants) 0.79 (0.10) <.001 0.72 (0.09) <.001 0.72 (0.09) <.001 0.72 (0.09) <.001 0.71 (0.09) <.001
 Random intercept 1.47 (0.48) .002 1.56 (0.49) .002 1.38 (0.43) .002 1.33 (0.43) .002 1.44 (0.46) .002
 −2LL/AIC 1,200 1,215 1,168 1,184 1,128 1,152 1,121 1,149 1,126 1,154
Selected Models (7–12)
Job Months in Past 5 Yearsc
Supplemental Security Income/Social Security Disability Incomed
Diagnosise
Education Levelc
Racef
Parameter
Est (SE)
P Value
Est (SE)
P Value
Est (SE)
P Value
Est (SE)
P Value
Est (SE)
P Value
Probability of working (logistic component)
 Intercept −2.41 (0.55) <.001 −0.70 (0.79) .38 −2.77 (0.62) <.001 −1.98 (0.53) <.001 −2.52 (0.58) <.001
 Time 0.72 (0.14) <.001 0.74 (0.14) <.001 0.74 (0.14) <.001 0.74 (0.14) <.001 0.74 (0.14) <.001
 Program (1 = ACT-IPS, 0 = SEP) 1.08 (0.67) .11 0.76 (1.05) .47 1.60 (0.77) .039 1.23 (0.66) .06 1.48 (0.71) .040
 Program × time interaction −0.61 (0.16) <.001 −0.63 (0.17) <.001 −0.63 (0.17) <.001 −0.64 (0.17) <.001 −0.63 (0.17) <.001
 Covariate 0.051 (0.022) .025 −1.87 (0.87) .033 2.25 (0.86) .010 0.35 (0.33) .28 2.02 (0.95) .034
 Covariate × program interaction 0.014 (0.029) .63 0.69 (1.16) .55 −1.24 (1.11) .27 −0.13 (0.41) .75 −0.77 (1.28) .55
 Random intercept 4.88 (1.33) <.001 5.86 (1.56) <.001 5.80 (1.54) <.001 6.23 (1.64) <.001 5.95 (1.58) <.001
Income from competitive job (lognormal component)
 Intercept 5.26 (0.41) <.001 6.44 (0.44) <.001 4.69 (0.45) <.001 5.43 (0.38) <.001 5.25 (0.43) <.001
 Time 0.16 (0.10) .10 0.17 (0.09) .07 0.18 (0.09) .06 0.18 (0.09) .06 0.15 (0.10) .13
 Program (1 = ACT-IPS, 0 = SEP) 0.92 (0.41) .026 0.49 (0.51) .34 1.53 (0.46) .001 1.00 (0.38) .010 1.03 (0.43) .017
 Program × time interaction −0.018 (0.11) .86 −0.03 (0.11) .78 −0.03 (0.11) .74 −0.034 (0.11) .74 −0.004 (0.11) .97
 Covariate 0.022 (0.013) .097 −1.45 (0.45) .002 1.66 (0.49) .001 0.46 (0.22) .036 0.55 (0.53) .30
 Covariate × program interaction 0.006 (0.016) .71 0.77 (0.56) .17 −1.18 (0.60) .051 −0.25 (0.25) .31 0.10 (0.67) .88
 Residual (within participants) 0.72 (0.09) <.001 0.74 (0.10) <.001 0.72 (0.09) <.001 0.70 (0.09) <.001 0.72 (0.09) <.001
 Random intercept 1.05 (0.34) .002 1.02 (0.34) .004 1.24 (0.39) .002 1.37 (0.42) .002 1.25 (0.40) .002
 −2LL/AIC
1,111
1,143
1,115
1,147
1,114
1,146
1,121
1,153
1,121
1,153

Note: SEP = Supported Employment Program, ACT-IPS = Assertive Community Treatment–Individual Placement and Support Program, Est = estimate, SE = standard error, –2LL = minus twice the LogLikelihood, AIC = Akaike Information Criterion. Time is defined as 6 4-month intervals and centered on the last interval. The sample size is 77 for SEP and 66 for ACT-IPS. Smaller values for –2LL and AIC indicate better model fit.

a

Number of contacts per interval.

b

Covariate = vocational and mental health services and demographic and diagnostic characteristics entered into Model 3 (program × time).

c

Centered at each program's median.

d

Supplemental Security Income/Social Security Disability Income: 1 = yes, 0 = no.

e

Diagnosis: 1 = mood spectrum, 0 = schizophrenia spectrum.

f

Race: 1 = Caucasian, 0 = African American.