value (p) of >0.05 is considered as good suitability of test.
Indexes were found to be around 0-1, which falls within an acceptable range.
tests was conducted to determine the degree of significance between the frequencies of the observed set of data with excepted data, and established that Lotka's inverse square law didn't fit to confirm.
The observed frequency of depression in a sample of infertile women was compared to the expected frequency of the population by chi-square goodness-of-fit
test at alpha 0.05.
Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit
CFA was performed, and goodness-of-fit
statistics were analyzed for assessing whether the factor model obtained by EFA was fit for our sample (Table 3).
It is worthy to underline that the Pearson correlation (r) was used throughout this work as an index of the agreement (goodness-of-fit
) between simulations and empirical data.
Here, we explore if any parameters can be fixed or removed entirely from the model without compromising the goodness of fit to the data by considering the following: (1) the 95% credible intervals for each fit parameter and (2) the extent to which a single parameter can deviate from its best-fit value and still give a goodness-of-fit
metric (a value of [zeta]) within 10% of the optimal value (Table 1).
The ESEM model makes it possible to solve some of the problems associated with CFA, such as cases in which no satisfactory goodness-of-fit
indexes are found or in which model modification (e.g., correlating error terms) is required (Marsh et al., 2014).
Calibration was evaluated by Hosmer-Lemeshow goodness-of-fit
test through calculating the ratio of observed-to-expected numbers of deaths which is known as the standardized mortality ratio (SMR).
Based on the analyses of the whole sample and the self-construal subsamples, the statistical test indicators were in line with established requirements (see Table 2), with the numerical value of [chi square]/df between 1 and 3; values of normed fit index, comparative fit index, incremental fit index, goodness-of-fit
index, and adjusted goodness-of-fit
index all greater than .90; root mean square error of approximation at .058, which was less than .08; and numerical values of parsimony goodness-of-fit
index and parsimony normed fit index greater than .50 (McDonald & Ho, 2002).