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            pearman Correlation Coefficients, Differences between

Myers, Leann; Sirois, Maria J.

doi:10.1002/0471667196.ess5050

Cited by 239 publications

(123 citation statements)

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“…We observed a similar pattern when zygomaticus activity in reaction to true and false smiles was correlated with the outputs of the smile detector, respectively rs (18) = .57, p = .009; rs (18) = .81, p <.001. Using the standard Fisher's z-transformation and subsequent comparison of Spearman coefficients [40] did not reveal significant differences in the degree of participant-target synchrony for genuine and false smiles ( z = −0.75, p = .23 for AU 12; z = −1.38, p = .084 for the smile detector).…”

Section: Resultsmentioning

confidence: 95%

Blocking Mimicry Makes True and False Smiles Look the Same

et al. 2014

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Recent research suggests that facial mimicry underlies accurate interpretation of subtle facial expressions. In three experiments, we manipulated mimicry and tested its role in judgments of the genuineness of true and false smiles. Experiment 1 used facial EMG to show that a new mouthguard technique for blocking mimicry modifies both the amount and the time course of facial reactions. In Experiments 2 and 3, participants rated true and false smiles either while wearing mouthguards or when allowed to freely mimic the smiles with or without additional distraction, namely holding a squeeze ball or wearing a finger-cuff heart rate monitor. Results showed that blocking mimicry compromised the decoding of true and false smiles such that they were judged as equally genuine. Together the experiments highlight the role of facial mimicry in judging subtle meanings of facial expressions.

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Section: Resultsmentioning

confidence: 95%

Blocking Mimicry Makes True and False Smiles Look the Same

et al. 2014

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“…Comparisons were conducted using Fisher’s z-transformation, followed by standard normal comparison. The suitability of this test for Spearman’s correlations is discussed in Myers and Sirois (2006).* P < 0.05.** P < 0.01.*** P < 10 −6 .…”

Section: Resultsmentioning

confidence: 99%

Evolutionary Rate and Duplicability in the Arabidopsis thaliana Protein–Protein Interaction Network

Alvarez‐Ponce¹,

Fares²

2012

Genome Biology and Evolution

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Genes show a bewildering variation in their patterns of molecular evolution, as a result of the action of different levels and types of selective forces. The factors underlying this variation are, however, still poorly understood. In the last decade, the position of proteins in the protein–protein interaction network has been put forward as a determinant factor of the evolutionary rate and duplicability of their encoding genes. This conclusion, however, has been based on the analysis of the limited number of microbes and animals for which interactome-level data are available (essentially, Escherichia coli, yeast, worm, fly, and humans). Here, we study, for the first time, the relationship between the position of proteins in the high-density interactome of a plant (Arabidopsis thaliana) and the patterns of molecular evolution of their encoding genes. We found that genes whose encoded products act at the center of the network are more evolutionarily constrained than those acting at the network periphery. This trend remains significant when potential confounding factors (gene expression level and breadth, duplicability, function, and length of the encoded products) are controlled for. Even though the correlation between centrality measures and rates of evolution is generally weak, for some functional categories, it is comparable in strength to (or even stronger than) the correlation between evolutionary rates and expression levels or breadths. In addition, genes encoding interacting proteins in the network evolve at relatively similar rates. Finally, Arabidopsis proteins encoded by duplicated genes are more highly connected than those encoded by singleton genes. This observation is in agreement with the patterns observed in humans, but in contrast with those observed in E. coli, yeast, worm, and fly (whose duplicated genes tend to act at the periphery of the network), implying that the relationship between duplicability and centrality inverted at least twice during eukaryote evolution. Taken together, these results indicate that the structure of the A. thaliana network constrains the evolution of its components at multiple levels.

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“…If the mean correlations were higher for the experienced than the naïve group, one would infer that experience with art confers greater agreement in the assessment of attributes in these paintings. Second, Spearman rank correlations were treated as Pearson coefficients and Fisher transformations were applied to test for group correlation differences (Myers & Sirois, 2006).…”

Section: Discussionmentioning

confidence: 99%

The Assessment of Art Attributes

Chatterjee

Widick

Sternschein

et al. 2010

Empirical Studies of the Arts

155

180

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Neuropsychological investigations of art production and perception have the potential to offer critical insight into the biology of visual aesthetics. Thus far, however, investigations of art production in patients have been limited to anecdotal observations and investigations of art perception are non-existent. Progress in the field is hampered by the lack of an adequate instrument to provide basic quantification of artwork attributes. Motivated by the need to move neuropsychology of art beyond the fascinating anecdote, we present the Assessment of Art Attributes (AAA). The AAA is an instrument designed to assess six formal-perceptual and six conceptual-representational attributes using 24 paintings from the Western canon. Both artistically naïve and experienced participants were given the AAA. We found high degrees of agreement in the assessment of these attributes in both groups and few differences between the groups. We expect that the AAA's componential and quantitative approach will be useful in advancing neuropsychological studies as well as any investigations in which style and content of art works need to be quantified and compared.Since the time of Broca and Wernicke, the study of individuals with brain damage has provided unique insights into the biological basis of behavior. Thus, by the 207 Ó 2010, Baywood Publishing Co., Inc.

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S pearman Correlation Coefficients, Differences between

Cited by 239 publications

References 0 publications

Blocking Mimicry Makes True and False Smiles Look the Same

Blocking Mimicry Makes True and False Smiles Look the Same

Evolutionary Rate and Duplicability in the Arabidopsis thaliana Protein–Protein Interaction Network

The Assessment of Art Attributes

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