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. 2016 Jun 4;14(1):5–15. doi: 10.1007/s10433-016-0381-4

Table 4.

Stabilities, unstandardized regression coefficients, and model fit indices for global/aggregated and domain-specific cross-lagged models. Standard errors in brackets

Variables Age group Stability Within time regression Cross-lagged effects Model fit
VA12 AD12 AD1 → VA1 AD2 → VA2 AD1 → VA2 VA1 → AD2 χ 2 (df) RMSEA CFI
ADg, VAagg 0.55 (.01) 1.34 (.09) 0.17 (.01) 0.04 (.01) 0.05 (.02) 0.44 (.09)
ADwork, PC 0.67 (.31) 1.03 (.50) −0.02 (.02) −0.07 (.08) 0.11 (.12) 2.64 (1.51) 74 (60) 0.019 0.982
ADmed, PLa 40–64 0.58 (.10) 1.12 (.38) 0.08 (.04) 0.13 (.11) −0.23 (.16) 0.22 (.58) 134 (112) 0.025 0.979
65+ 1.41 (.29) 0.12 (.30) 0.10 (.04) −0.35 (.04) 0.06 (.12) 2.14 (.75)
ADsocial, SL 40–64 0.73 (.14) 0.76 (.33) 0.16 (.04) −.02 (.09) .02 (.10) 1.15 (.48) 170 (99) 0.047 0.906
65+ 0.68 (.20) 0.35 (.31) 0.13 (.05) 0.05 (.11) 0.07 (.08) 0.94 (.59)

Values printed bold are significant (p < .05)

AD age discrimination, ADg global, domain-independent age discrimination, ADwork perceived age discrimination in the domain work, ADmed perceived age discrimination in the domain medical care, ADsocial perceived age discrimination in the domain social interactions, VA views on ageing, VAagg views on ageing aggregated across the three scales, PC personal competence, PL physical loss, SL social loss. Higher values indicate more age discrimination and more negative views on ageing for all variables

aIn the domain medical care a non-significant negative residual variance had to be fixed to zero

Values marked with a cross are significant as indicated by p < .10