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The study is established using causal research design in order to examine the cause-effect relationship between the study variables.
The initiation of the structural equation modelling (SEM) method helped determine the relationship between the study variables through deductive approach.
The secondary objectives were to examine the influence of treatment modality (continuous subcutaneous insulin infusion vs multiple daily injections) and demographics on quality of life and diabetes knowledge of these young persons and to determine the associations between the study variables.
Tables and bar charts, Pearson correlation coefficient was used to establish the relationship between the study variables.
The results of comparison of the Ramadan/Control Ratios between the study variables are presented in Table 2.
Qui-Square tests were used to better understand specific differences or associations between the study variables and 1) having or not a CC, and 2) if that CC affects or not participation and regular attendance in school.
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Additionally, the relationship between age and the study variables, and differences between elite junior and professional players were examined.
They did not compare different degrees of dependency between attrition and the study variables.
The relationships between overall survival and the study variables were assessed using univariate and multivariate analyses.
The main aspect in multivariate analysis is the dependence between the studied variables.
Various plots and tables showing the interrelations between the studied variables were included in the paper.
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between the study parameters
between the student variables
between the study factors
between the factor variables
between the study cases
between the study areas
between the input variables
between the study drugs
between the study regions
between the study treatments
between the study designs
between the study groups
between the study phases
between the study populations
between the study arms
between the study sites
between the study locations
between the study periods
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