To apply the non-parametric 'Kolmolgorov-Smirnov (K-S)' and 'Chi-square' test of 'Goodness-of-Fit
test' for the conformity of the Lotka's law.
Then, a post hoc analysis using the ranks of the goodness-of-fit
was performed by the Tukey-Kramer test.
To determine how much the fit depends on these parameters, we next consider how much a parameter value can vary from its best-fit value and still give a goodness-of-fit
metric [zeta] within 10% of the optimal value.
indexes for this model were also inadequate (see Table 1), with CFIs below the standard cut-off, especially for the sample of adults.
test was adopted to assess the quality of predictions in the validation sets.
SE t Perceived social exclusion [right -.13 ** 0.05 -2.83 arrow] Recycling attitude Perceived social exclusion [right -.19 *** 0.06 -3.40 arrow] Subjective norm Perceived social exclusion [right .07 0.08 .98 arrow] Perceived behavior control Recycling attitude [right arrow] .22 *** 0.03 6.74 Recycling behavior Subjective norm [right arrow] .19 *** 0.09 10.79 Recycling behavior Perceived behavior control [right .34 *** 0.04 8.62 arrow] Recycling behavior The goodness-of-fit
of the GFI = .953; AGFI = measurement model and a multiple .923; RMSEA = .058; NFI group analysis of the model = .951; CFI = .967; IFI = .967; PNFI = .670; PGFI = .0587; [chi square]/df=2.7 Relationship Group 1 (interdependent construal) coef.
We applied the following goodness-of-fit
tests based on the empirical cdf: the Cramer-von Mises statistic [W.sup.2], the Watson statistic [U.sup.2], the Anderson-Darling statistic [A.sup.2] and the Kolmogorov-Smirnov statistic D.
Through this research, contribution of factors assumed to be influencing the performance of public and private schools teachers in Hyderabad district has been studied, using logistic regression analysis, while evaluating the goodness-of-fit
Reviewing these statistics helps to evaluate the goodness-of-fit
of the model.