FOOD STIMULI AND GENDER

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The eye-tracking data sheets output provided by the Tobii Pro Glasses Analyzer
Software was placed together on a matrix with the questionnaire data for each participant.
The matrix was created using Microsoft Excel Software 2016. This matrix contained all the
data collected in the experiment. All statistical analyisis was computed using the IBM SPSS
Statistics 23 Software.
Inferential analysis and significance tests were used to investigate whether the
observed gender differences were statistically significant. Since the study included two
independent samples of men and women, two tests could have been used to compare the two
groups, either the t-test for independent samples or the nonparametric Mann-Whitney U test.
For the t-test, a normal distribution and homogeneity of variances are required in both
groups. Nevertheless, in the case of missing homogeneity of variances the t-test could be
used if a Welch correction is applied. If a normal distribution is not provided, the MannWhitney U test should be used, since for the Mann-Whitney U test the distribution of the
data is not a prerequisite.
A Shapiro-Wilk test was used to test the high and low calorie groups for the normal
distribution of each of the indices among men and women. The results are in the lines p SW
Men and p SW Women in Appendix I. The prerequisite of homogeneity of variance was
examined using the Levene test. A normal distribution and homogeneity of variance were
confirmed in all cases. For this reason, a two-sample t-test was always applied without any
Welch correction.
In the analysis of the food groups, the above-described t-test or Mann-Whitney U
test was used to test for statistical significance. In most cases, the p-value was above the
usual significance level of 0.05. Therefore most variables displayed normal distribution. The
p-value was above 0.05 for three variables (HCS_TVD, HCS_TVD, AND HCNS_FC); they