. 2015 May 14;71(5):849–856. doi: 10.1093/geronb/gbv026

Table 2.

Results of Latent Growth Curve Model Fitting with Complexity of Work with People and Social, Physical, or Cognitive Leisure Activity: Log Likelihoods

Models	Number of Parameters	Cognitive Factor
Models	Number of Parameters	Verbal	Spatial	Memory	Speed
1. Education and sex	19	10,509.3	11,292.8	12,694.4	12,128.3
2a. Add people to I, S1, S2	22	10,499.9^a	11,290.0	12,685.3^a	12,119.7^a
2b. Add social to I, S2	21	10,506.3	11,287.1	12,693.9	12,125.4
3. Add both people and social	24	10,496.8^c	11,284.1	12,684.7^c	12,116.3^c
4. Add interaction terms	26	10,492.2	11,284.0	12,683.7	12,115.9
1. Education and sex	19	10,480.4	11,265.3	12,660.7	12,095.3
2a. Add people to I, S1, S2	22	10,470.6^a	11,262.3	12,651.3^a	12,086.3^a
2b. Add physical to I, S2	21	10,472.0^a	11,259.9	12,659.6	12,088.7^a
3. Add both people and physical	24	10,462.5^bc	11,256.8	12,650.4^c	12,079.4^bc
4. Add interaction terms	26	10,461.4	11,256.3	12,648.8	12,078.8
1. Education and sex	19	10,519.2	11,301.4	12,716.7	12,145.2
2a. Add people to I, S1, S2	22	10,509.8^a	11,298.6	12,707.7^a	12,136.5^a
2b. Add cognitive to I, S2	21	10,428.2^a	11,276.2^a	12,680.7^a	12,107.2^a
3. Add both people and cognitive	24	10,416.5^bc	11,273.0^b	12,670.6^bc	12,097.6^bc
4. Add interaction terms	26	10,415.4	11,272.5	12,669.5	12,097.6

Notes: I = intercept; S1 = rate of change up to retirement; S2 = rate of change after retirement.

^aModel fit is significantly different from model 1 at p < .05; individual covariate contributes to LGCM.

^bModel fit is significantly different from model 2a at p < .05; leisure covariate contributes after complexity of work with people.

^cModel fit is significantly different from model 2b at p < .05; complexity of work with people contributes after leisure covariate.