Spss for ms windows release 22

SPSS for MS Windows Release 22.0 was used to analyze the data, with a maximum significance level set at 0.05. The analysis started with an examination of the descriptive statistics for the dependent and independent variables. For appropriateness of our data to correlation and regression analyses, we carefully test normality of the variables using statistical tests and/or visual inspection: Skewness, Kurtosis, Kolmogorov-Smirnov Test. When the requirements are not met, we “transform” the data to make it “normal”, namely, our normalizing transformation uses a logarithmic transformation. After that, the data meet the criteria of the normal distribution, they are suitable for parametric analyses. Bivariate relationships between the (sub)scales of disordered eating habits and other study variables were examined using Pearson correlation coefficients. The primary focus of the analyses was two-fold. First, detecting the associations between dependent variables (body image, weight and media-related) and the independent variable (EAT score) using multiple linear regression analysis. Next, binary logistic regression analyses (simple and multiple) were used to examine correlates of EAT risk by calculating odds ratios (OR). An odds ratio > 1.0 indicates that there is a positive association between the factors of interest to the baseline odds, while a value < 1.0 indicates the opposite.