Statistical Analysis
Data analysis was performed using IBM SPSS 25.0 (Armonk, NY: IBM Corp.)
statistical package program.
Chi-Square test was used to compare qualitative data as well as
descriptive statistical methods (frequency, percentage, mean, standard
deviation, median, min-max. IQR) while evaluating the study data.
The compliance of the data to normal distribution was evaluated by
Kolmogorov-Smirnow and Shapiro-Wilk tests.
In the research, in the evaluation of the quantitative data with normal
distribution; Independet Samples t test (t test in independent groups)
and Repeated Measures Anova (repeated measures analysis of variance)
were used for the comparison of repeated measurements.
Post-hoc Tukey HSD test was used to find the source of the difference in
cases where there was a difference in multiple comparisons.
Mann-Whitney U test was used to evaluate data that did not show normal
distribution.
Relationships between variables were evaluated using the Pearson
Correlation Test.
Statistical significance level was accepted as α = 0.05.
Power analysis was made with G * Power 3.1.9.4 statistical package
program. As n1 = 28, n2 = 29, α = 0.05, Effect Size (d) = 0.87; power =
90%.