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KMO value was.761, while Bartlett's test was significant with p <.0005, indicating the data is suitable for factor analysis.
The Kaiser-Meyer-Olkin Measure of Sampling Adequacy was equal to 0.81 showing that the data is suitable for factor analysis.
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This confirmed the intuition that the data were suitable for the Poisson regression and hence the two assumptions for Poisson distribution hold.
The Kaiser Meyer Olkin test and Bartlett's sphericity test were firstly carried out to determine if the data was suitable for performing the EFA [24].
To ensure that the data was suitable for regression analysis, we checked the normality of residuals and for the presence of outliers with high leverage values in the final models.
These results indicate that the data are suitable for factor analysis.
Based on these results, it was determined that the data were suitable for IRT analysis.
However, according to the Kaiser-Meyer-Olkin criterion the data were suitable for this PAF.
These findings are a fundamental requirement of the PCA and support that the data were suitable for a factor analysis.
Bartlett's test indicated that the data were suitable for an exploratory factor analysis (χ [10] = 472.28, p < 0.0001).
Bartlett's test of sphericity was significant (χ = 6674.75, p < 0.001), and the KMO index was 0.91, which indicates that the data were suitable for EFA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com