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As shown in Fig. 2, all the hypothesized paths are significant at differing levels.
Structural equation modeling using AMOS version 23 was performed to test the hypothesized paths.
The core model indicating the hypothesized paths for the two key variables (with covariates omitted) is shown in Fig. 1.
Structural model analysis showed squared multiple correlations (R 2) for endogenous variables ranging from 0.11 to 0.41, and revealed that the hypothesized paths were as predicted with beta weights statistically significant at p < 0.01 (see Table 3).
Having established the reliability, convergent validity, and discriminant validity of all the constructs in the model, the next step is to test the structural model for the hypothesized paths by using a PLS bootstrap sampling method to estimate the path coefficients.
Figure 3 shows that all the hypothesized paths in the final model were significant.
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At 12 months post hip fracture, nine of the 89 hypothesized paths were significant.
At six months post hip fracture, 12 of the 89 hypothesized paths were significant.
Using a cross-sectional design and 107 undergraduates, path analysis supported five of six hypothesized paths in the model; all paths except that from anxious attachment to health-related reassurance-seeking were significant and in the expected direction.
A relevant research model was developed to test fifteen (15) hypothesized paths or relationships among the study's variables.
All hypothesized paths were statistically significant and in the predicted directions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com