1956
DOI: 10.2307/3001679
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A Rankit Analysis of Paired Comparisons for Measuring the Effect of Sprays on Flavor

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Cited by 55 publications
(21 citation statements)
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“…A significant group (BTC vs. pre-BTC) by time (baseline vs. follow-up) interaction in which the BTC group displayed greater reductions or smaller increases in criminal offending, drug days, or jail days from baseline to follow-up compared to the pre-BTC group was considered evidence of a treatment effect. Because the outcome data were counts, scores on these three measures were converted to normal scores calculated using the Rankit method (Bliss et al 1956). The Rankit procedure was selected because it produced the most accurate results in a recent Monte Carlo comparison of the four formulas used in SPSS to calculate normal scores (Solomon and Sawiloswsky 2009).…”
Section: Data Analytic Planmentioning
confidence: 99%
“…A significant group (BTC vs. pre-BTC) by time (baseline vs. follow-up) interaction in which the BTC group displayed greater reductions or smaller increases in criminal offending, drug days, or jail days from baseline to follow-up compared to the pre-BTC group was considered evidence of a treatment effect. Because the outcome data were counts, scores on these three measures were converted to normal scores calculated using the Rankit method (Bliss et al 1956). The Rankit procedure was selected because it produced the most accurate results in a recent Monte Carlo comparison of the four formulas used in SPSS to calculate normal scores (Solomon and Sawiloswsky 2009).…”
Section: Data Analytic Planmentioning
confidence: 99%
“…Saaty (1977) proposed a consensus method through evaluation by group discussion to provide treatment or item scores on a ratio scale. Bliss, Greenwood and White (1956) used "rankits" in the analysis of paired comparisons. Mehra (1964) and Puri and Sen (1969) extended the idea of signed ranks to paired comparisons.…”
Section: Other Methods Of Paired Comparisonsmentioning
confidence: 99%
“…To determine whether the measured POC, PON and carbon pools show significant differences between the light treatments, an ANOVA with one classification criterion was performed, followed by a post hoc Tukey's HSD test. Data normality of the different data sets was verified using the Rankit test (Bliss et al 1956). The homogeneity of variance was confirmed using Levene's test (Levene 1960).…”
Section: Discussionmentioning
confidence: 99%