Sentence examples for items were compared using from inspiring English sources
Qualitative items were compared using a Chi-square test.
Accuracy and response times for the distracter items were compared using t-tests.
Feeding rate (number of successful strikes per minute) and feeding specialization (number of successful strikes on limnetic food items minus number of successful strikes on benthic food items) were compared using a one-way analysis of variance (ANOVA) with site of origin as the factor.
Paired Likert-type items or sets of items were compared using nonparametric statistical techniques (e.g. chi-square homogeneity tests, Mann-Whitney-Wilcoxon U test) [ 22].
The frequencies of endorsement of dichotomous PDPI-R-J items were compared between the 8th month of pregnancy and the 1st month postpartum using McNemar's test, while the means of PDPI-R-J items were compared using paired t-tests.
Quantitative variables (including the overall score for the questionnaires) were compared using Student's t-statistic, while ordinal variables (scores for the individual items) were compared using the Mann–Whitney U-test in the case of independent samples or the Wilcoxon rank test for paired data.
When individual satisfaction items are compared using various sociodemographic variables few are significant.
Men who have sex with men and HIV-positive MSW who endorsed each item were compared using logistic regression, reporting odds ratios with 95% confidence intervals.
The number and proportion of component studies in the Cochrane reviews and the original randomised controlled trials (RCTs) that reported information for each STRICTA item were compared using the McNemar test as percentage reported with binomial 95% CIs.
Scores on items relating to perceptions were compared using Kruskal-Wallis tests, followed by planned post-hoc Mann-Whitney U tests to compare scores for which there was strong evidence against the null hypothesis (p < 0.05).
To compare family physician vs. specialist ratings, differences between mean scores for each item and overall letter score were compared using ANOVA.
