Dataset Information

A French Translation of the Pleasure Arousal Dominance (PAD) Semantic Differential Scale for the Measure of Affect and Drive.

ABSTRACT: Multivariate studies have repeatedly confirmed that three basic dimensions of human emotional behavior, called pleasure (P), arousal (A) and dominance (D) are persistent in organizing human judgments for a wide range of perceptual and symbolic stimuli. The Mehrabian and Russell's PAD semantic differential scale is a well-established tool to measure these categories, but no standardized French translation is available for research. The aim of this study was to validate a French version of the PAD. For this purpose, (1) Mehrabian and Russell's PAD was translated through a process of translations and back-translations and (2) this French PAD was tested in a population of 111 French-speaking adults on 21 images of the International Affective Picture System (IAPS). A confirmatory factor analysis revealed the expected three-factor structure; the French PAD also distributed the images in the affective space according to the expected boomerang-shape. The present version of PAD is thus a valid French translation of Mehrabian and Russell's original PAD.

SUBMITTER: Detandt S

PROVIDER: S-EPMC5808109 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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A French Translation of the Pleasure Arousal Dominance (PAD) Semantic Differential Scale for the Measure of Affect and Drive.

Detandt Sandrine S Leys Christophe C Bazan Ariane A

Psychologica Belgica 20170313 1

Multivariate studies have repeatedly confirmed that three basic dimensions of human emotional behavior, called pleasure (P), arousal (A) and dominance (D) are persistent in organizing human judgments for a wide range of perceptual and symbolic stimuli. The Mehrabian and Russell's PAD semantic differential scale is a well-established tool to measure these categories, but no standardized French translation is available for research. The aim of this study was to validate a Fren ...[more]

PMID: 30479451

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Project description:BackgroundThe Gene Ontology (GO) is a dynamic, controlled vocabulary that describes the cellular function of genes and proteins according to tree major categories: biological process, molecular function and cellular component. It has become widely used in many bioinformatics applications for annotating genes and measuring their semantic similarity, rather than their sequence similarity. Generally speaking, semantic similarity measures involve the GO tree topology, information content of GO terms, or a combination of both.ResultsHere we present a new semantic similarity measure called TopoICSim (Topological Information Content Similarity) which uses information on the specific paths between GO terms based on the topology of the GO tree, and the distribution of information content along these paths. The TopoICSim algorithm was evaluated on two human benchmark datasets based on KEGG pathways and Pfam domains grouped as clans, using GO terms from either the biological process or molecular function. The performance of the TopoICSim measure compared favorably to five existing methods. Furthermore, the TopoICSim similarity was also tested on gene/protein sets defined by correlated gene expression, using three human datasets, and showed improved performance compared to two previously published similarity measures. Finally we used an online benchmarking resource which evaluates any similarity measure against a set of 11 similarity measures in three tests, using gene/protein sets based on sequence similarity, Pfam domains, and enzyme classifications. The results for TopoICSim showed improved performance relative to most of the measures included in the benchmarking, and in particular a very robust performance throughout the different tests.ConclusionsThe TopoICSim similarity measure provides a competitive method with robust performance for quantification of semantic similarity between genes and proteins based on GO annotations. An R script for TopoICSim is available at http://bigr.medisin.ntnu.no/tools/TopoICSim.R .

Dataset Information

A French Translation of the Pleasure Arousal Dominance (PAD) Semantic Differential Scale for the Measure of Affect and Drive.

Publications

A French Translation of the Pleasure Arousal Dominance (PAD) Semantic Differential Scale for the Measure of Affect and Drive.

Similar Datasets

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