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. 2022 Jan 5;22:37. doi: 10.1186/s12885-021-09092-w

Table 2.

Model 1 Path analysis

Factor loading (SE)a p-value R2
Latent psychosocial health construct
 Benefit 0.456 (0.0.036) <0.001 0.208
 Barrier 0.143 (0.049) 0.004 0.01
 Fatalism −0.297 (0.040) <0.001 0.088
 Self-Efficacy 0.763 (0.034) <0.001 0.581
 Susceptibility 0.250 (0.041) <0.001 0.063
Coefficient (SE)b p-value
Psychosocial health construct score 0.593
 Intervention-education 2.222 (0.202) <0.001
 Health status-excellent/good/fair −0.307 (0.118) 0.009
 Doctor recommended CRC-yes 0.335 (0.16) 0.03
 Knowledge 0.267 (0.046) <0.001
Knowledge 0.05
 Intervention-education 0.431 (0.087) <0.001
 Education-diploma 0.288 (0.119) 0.016
Screening uptake 0.648
 Psychosocial score 0.353 (0.076) <0.001
 Intervention-education 1.709 (0.237) <0.001
 Knowledge −0.178 (0.059) 0.003
Model fit criteria N = 715
RMSEA = 0.053 (p = 0.305)
CFI = 0.92
TLI = 0.88

Model 1: Path analysis with psychosocial health construct

SE Standard Error, CRC Colorectal Cancer, SE Standard Error, R2 Coefficient of Determination, RMSEA Root Mean Square Error of Approximation, CFI Comparative Fit Index, TLI Tucker-Lewis Index

aStandardized coefficient

bUnstandardized regression coefficient