. Author manuscript; available in PMC: 2014 Aug 1.

Published in final edited form as: J Anxiety Disord. 2013 Apr 3;27(6):608–618. doi: 10.1016/j.janxdis.2013.03.008

Table 2.

Unconditional Growth Curve Models

Outcome Variable	Fit Statistics	Intercept Factor		Slope Factor^a
Outcome Variable	Fit Statistics	Mean	Var (SE)	Mean
HARS	χ² = 2.40, df = 7, p > .10 CFI = 1.000 TLI = 1.04 RMSEA = 0.00 (90% C. I. 0.00 – 0.02) SRMR = 0.03	8.20^***	33.50^*** (5.82)	−0.41^*
MFQf	χ² = 3.92, df = 7, p >.10 CFI = 1.000 TLI = 1.02 RMSEA = 0.00 (90% C. I. 0.00 – 0.06) SRMR = 0.11	165.15^***	636.01^*** (78.40)	−1.60^**

NOTE. χ² = chi-square statistic reflecting overall model fit (p > .05 indicates a good fit); CFI = Comparative Fit Index (≥ .90 indicates a good fit); TFI = Tucker-Lewis Index (≥ .90 indicates a good fit); RMSEA = Root Mean Square Error of Approximation (≤ .05 is considered a very close fit; .05 – .10 is considered a moderate fit); SRMR = Standardized Root-Mean-Square Residual (used for continuous outcomes, ≤ .08 is considered a good fit). β = fully standardized coefficient. Statistical significance is based on z-score transformations of raw estimates. HARS = Hamilton Anxiety Rating Scale; MFQf = the Memory Functioning Questionnaire general frequency of forgetting subscale.

The HARS and MFQf slopes were constrained to 0 in analyses.

p ≤ .05

^**

p ≤ .01

^***

p ≤ .001