Thank you for your comment. However, we think chi-squared is the appropriate statistical test as we are only comparing the proportions of distribution between categorical variables, we are not comparing the means between more than two groups which is what ANOVA is used for. We have not used chi square to assess analysis of variance, we have now made it clearer that frequency distribution is being assessed in the statistical methods section In terms of gender and education: the mean, standard deviation, df and sig t or F test need to be reported in the tables.
Why was the Pearson's chi-squared test used (table 1) for analysis of variance? For while gender and in this study education are categorical (group) the data being evaluated is continuous and interval data and so an ANOVA or MANOVA by group is the method of analysis of variance. (Tabachnick, B.G., Fidell, L. S., & Ullman, J.B. (2007). Using multivariate statistics (5th ed.). Pearson.)