Analysis of Duplicated Multiple-Samples Rank Data Using the Mack-Skillings Test

作者：Carabante Kennet Mariano; Alonso Marenco Jose Ramon; Chokumnoy**** Napapan; Sriwattana Sujinda; Prinyawiwatkul Witoon^*

来源：Journal of Food Science, 2016, 81(7): S1791-S1799.

DOI：10.1111/1750-3841.13349

• Friedman test
• Mack-Skillings test
• preference
• ranking
• replications

Appropriate analysis for duplicated multiple-samples rank data is needed. This study compared analysis of duplicated rank preference data using the Friedman versus Mack-Skillings tests. Panelists (n = 125) ranked twice 2 orange juice sets: different-samples set (100%, 70%, vs. 40% juice) and similar-samples set (100%, 95%, vs. 90%). These 2 sample sets were designed to get contrasting differences in preference. For each sample set, rank sum data were obtained from (1) averaged rank data of each panelist from the 2 replications (n = 125), (2) rank data of all panelists from each of the 2 separate replications (n = 125 each), (3) jointed rank data of all panelists from the 2 replications (n = 125), and (4) rank data of all panelists pooled from the 2 replications (n = 250); rank data (1), (2), and (4) were separately analyzed by the Friedman test, although those from (3) by the Mack-Skillings test. The effect of sample sizes (n = 10 to 125) was evaluated. For the similar-samples set, higher variations in rank data from the 2 replications were observed; therefore, results of the main effects were more inconsistent among methods and sample sizes. Regardless of analysis methods, the larger the sample size, the higher the (2) value, the lower the P-value (testing H-0: all samples are not different). Analyzing rank data (2) separately by replication yielded inconsistent conclusions across sample sizes, hence this method is not recommended. The Mack-Skillings test was more sensitive than the Friedman test. Furthermore, it takes into account within-panelist variations and is more appropriate for analyzing duplicated rank data.
Practical Application Analyses of duplicated rank preference data using the Friedman versus Mack-Skillings tests were compared. Panelists ranked twice 2 orange juice sets: different-samples set (100%, 70%, vs. 40% juice) and similar-samples set (100%, 95%, vs. 90%). For the similar-samples set, higher variations in rank data from the 2 replications were observed; therefore, results of the main effects were more inconsistent among methods and sample sizes (n = 10 to 125). Analyzing rank data separately by replication yielded inconsistent conclusions across sample sizes, hence it is not recommended. The Mack-Skillings test is more sensitive than the Friedman test, and more appropriate for analyzing duplicated rank data.

• 出版日期2016-7