Hypotheses of the study were rejected/accepted on the base of a criterion range of

Path coefficients ([beta]) >=.20, F Square>.02, Q-Square .30, T Statistics>1.96 and P value 1.96, F2 >= .02, Q2

Path Coefficients and Correlation Indices of Morphological Traits against Total Body Weight

The results of structural equations model and the amount of t statistics through which the significance of

path coefficients are investigated can be seen in Tab.

We further tested whether the difference of

path coefficients for the

The values shown in parentheses in Fig.1 indicated the t values of the

path coefficients and the

path coefficients were statistically significant (t[greater than or equal to]1.96; pa$?0.05).

For structural model, it estimates and analyzed the

path coefficients between the constructs.

The second stage calculates the final estimates of coefficients (outer weights, loadings, and

path coefficients) using the ordinary least squares method for each partial regression in the model.

Path coefficients should not be interpreted as correlation coefficients.

Based on the new p values and effect sizes in the case of the age variable, in the tables of the

path coefficients and the p values, we note the following:

The path model results depicting the standardized

path coefficients among the latent variables are presented in Table 3.

Figure 1 illustrated the standardized

path coefficients for the revised model.

In the study, direct and indirect effects of different morphological traits were also determined through

path coefficients analysis.