Parametric and Nonparametric Analyses of Repeated Ordinal Categorical Data

Singer, Júlio M.; Poleto, Frederico Z.; Rosa, Patrícia Lima Ferreira Santa

doi:10.1002/bimj.200310045

Cited by 30 publications

(27 citation statements)

References 21 publications

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“…In the field of epidemiology, Kahler, Rogausch, Brunner, and Himmel (2008) observed that even though many measures of healthrelated quality of life aspects are ordinal, the data are typically analyzed using parametric tests. These authors examined whether applying parametric tests (instead of the appropriate nonparametric tests) to these quality of life data could affect the results and found that using parametric tests to analyze ordinal data could lead to erroneous results (see also Norris, Ghali, Saunders, Brant, & Galbraith, 2004;Singer, Poleto, & Rosa, 2004).…”

Section: Discussionmentioning

confidence: 99%

Revisiting the role of within-compound associations in cue-interaction phenomena

2012

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Although it is thought that within-compound associations are necessary for the occurrence of both backward blocking and unovershadowing, it is not known whether this variable plays a similar role in mediating the two phenomena. Similarly, the roles of within-compound associations in forward blocking and in reduced overshadowing have not been tested independently. The present experiments evaluated how the strength of withincompound associations affects backward blocking, unovershadowing, forward blocking, and reduced overshadowing. Using an allergy task, the strength of within-compound associations was varied by taking advantage of the participants' prior knowledge of common and uncommon food pairings. Backward blocking and unovershadowing effects were present only when highly memorable compound cues were used. Moreover, the magnitudes of both retrospective revaluation effects were affected by the strength of withincompound associations. Forward blocking and reduced overshadowing effects were independent of withincompound associations. These results have important theoretical implications for causal learning research.Keywords Backward blocking . Blocking . Causal learning . Reduced overshadowing . Unovershadowing Learning causal relations from the environment allows us to both predict and control events that are relevant for survival. It is not surprising, therefore, that the specific mechanisms that underlie causal learning have been a subject of active research during the last few decades. A family of empirical phenomena, usually described as cue-interaction effects, has played a crucial role in the experimental study of causal

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Section: Discussionmentioning

confidence: 99%

Revisiting the role of within-compound associations in cue-interaction phenomena

2012

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“…Nonparametric analyses of repeated ordinal categorical data were performed to verify the relationship between PROP taster status and pleasantness (SINGER; POLETO;ROSA, 2004). A value of p < 0.05 was used as criterion for statistical significance.…”

Section: Discussionmentioning

confidence: 99%

6-n-propyltiouracil (PROP) taster status in Brazilian adults

Atzingen

Silva

2012

Food Sci. Technol

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The objective of this study was to determine PROP (6-n-propyltiouracil) taster status in adults and its relationship with anthropometric variables and pleasantness of sugar, salt, and fat. A total of 123 subjects rated the intensity of PROP and sodium cloride (NaCl) solutions using the labeled magnitude scale. For pleasantness evaluation, it was used concentrated orange juice (sugar) and mashed potato (salt and fat). The subjects were classified as non-tasters (n = 35), medium-tasters (n = 33) and super-tasters (n = 55). In this study, no relationship was found between PROP taster status and age, sex, weight, body mass index, and pleasantness. Although genetic markers may influence the degree of liking of certain foods, one must consider that the mechanisms influencing eating behavior in humans are complex, and that psychological, social, and economic factors play a key role in response to food.

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“…However, the performance of this complex approach is highly sensitive to the choice of model for mean function and correlation structure for errors (Littell, Pendergast, & Natarajan, 2000;Park, Park, & Davis, 2001;Vossoughi, Ayatollahi, Towhidi, & Ketabchi, 2012). Although several nonparametric methods have been developed for non-normal responses (Azzalini & Bowman, 1991;Singer, Poleto, & Rosa, 2004;Wernecke & Kalb, 1999;Wernecke & Kaufmann, 2000), model building and software implementation of these methods are extremely complicated.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, the MANOVA tests perform poorly when the distribution of errors much deviates from multivariate normal (Davis, 1980(Davis, , 1982Everitt, 1979;Olson, 1974;Um & Randles, 1998). Bhapkar (1984) and Sen (1984) discussed asymptotically distribution-free analogous of profile analysis. Multivariate extensions of Kruskal-Wallis and Brown-Mood median tests based on marginal ranks and signs were discussed in Puri and Sen (1971) but suffer from a lack of invariance with respect to affine transformations.…”

Section: Introductionmentioning

confidence: 99%