Cochran’s Q test

Chi-.square. binomial test, runs test, one-sample Kolmogorov Smirnov test. Mann-Whitney U test. Moses test. Wald-Wolfowitz test. Kruskal Wallis te.st, Wilcoxon signed rank test. Friedman s test. Kendall s W test, Cochran s Q test... 

There were signiftcant differences in the number of trials in which defensive behaviors were displayed after being touched by the snake hook handle between treatments (Cochran s Q-test Q = 7.6 df = 2 p < 0.022). Snakes displayed defensive... 

TABLE 1 Percentage (Number) of excellent marks in each week of the period of clinical observation for each of the studied parameters. Sample size 48 p - p-value of Cochran s Q test. 

Cochran s Q test is used to evaluate if consumers detected significant differences among samples for each of the terms from the CATA question. Cochran s Q test is a... 

Table 11.2 Example of the data matrix used for analysing data from one term of a check-all-that-apply (CATA) question using Cochran s Q test...

According to Cochran s Q test, significant differences (p < 0.05) in the frequency with which 17 of the 18 terms of the CATA question were used to describe the yoghurt samples, suggested that consumers perceived differences in the sensory characteristics of the evaluated yoghurts. 

Exploitation of the data via statistics Possible with a minimum of 15 data entries per product For this approach, the statistical approach is mainly focused on the CATA data, and via the Cochran s Q test Kruskal-Wallis test we attempt to reveal citation differences. Example in Fig. 16.4... 

All statistical analyses were done using SAS. Cochran s Q was used to analyze differences in choice between the three treatments. Friedman s signed-rank test was used to analyze differences between treatments in all other quantifiable measures. 

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