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1.
Accid Anal Prev ; 63: 41-8, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24269861

ABSTRACT

The purpose of this study was to validate a new version of the Driver Behavior Questionnaire (DBQ) on a sample of French drivers in order to gain a better understanding of different driver behaviors, by differentiating two types of violations (aggressive and ordinary), three types of errors (dangerous, inattention and inexperience) and by taking positive behaviors into account. 525 drivers (205 men and 320 women), between 18 and 79 years of age, filled in a questionnaire on line including the 41 items in the new version of the DBQ and information relative to their mobility and their accident history. Exploratory factor analysis confirmed a six-factor structure: "dangerous errors", "inattention errors", "inexperience errors", "ordinary violations", "aggressive violations" and "positive behaviors". A revised version with 23 items of the new version of the DBQ was produced by selecting the items that loaded most strongly on the six factors. The results also showed the link between demographic variables (age and gender), mobility (kilometers driven weekly), the DBQ scores and the involvement in an accident in the previous five years. This study permitted to validate a more detailed version of the "Driving Behavior Questionnaire" among French drivers of all age and all level of experience.


Subject(s)
Aggression , Automobile Driving/statistics & numerical data , Dangerous Behavior , Risk-Taking , Adolescent , Adult , Aged , Factor Analysis, Statistical , Female , Humans , Male , Middle Aged , Psychometrics/instrumentation , Surveys and Questionnaires , Young Adult
2.
Span J Psychol ; 15(3): 1233-43, 2012 Nov.
Article in English | MEDLINE | ID: mdl-23156928

ABSTRACT

The characterization questionnaire is inspired by Q-sort methodologies (i.e. qualitative sorting). It consists in asking participants to give their opinion on a list of items by sorting them into categories depending on their level of characterization of the object. This technique allows us to obtain distributions for each item and each response modality (i.e. characteristic vs. not chosen vs. not characteristic). This contribution intends to analyze these frequencies by means of correspondence factor analysis. The originality of this contribution lies in the fact that this kind of analysis has never been used to process data collected by means of this questionnaire. The procedure will be detailed and exemplified by means of two empirical studies on social representations of the good wine and the good supermarket. The interests of such a contribution will be discussed from both methodological points of view and an applications perspective.


Subject(s)
Psychometrics/instrumentation , Social Perception , Surveys and Questionnaires/standards , Adult , Consumer Behavior , Factor Analysis, Statistical , Female , Humans , Male , Middle Aged , Models, Psychological , Q-Sort , Qualitative Research , Sex Factors , Social Class , Wine
3.
Span. j. psychol ; 15(3): 1233-1243, nov. 2012. ilus
Article in English | IBECS | ID: ibc-105698

ABSTRACT

The characterization questionnaire is inspired by Q-sort methodologies (i.e. qualitative sorting). It consists in asking participants to give their opinion on a list of items by sorting them into categories depending on their level of characterization of the object. This technique allows us to obtain distributions for each item and each response modality (i.e. characteristic vs. not chosen vs. not characteristic). This contribution intends to analyze these frequencies by means of correspondence factor analysis. The originality of this contribution lies in the fact that this kind of analysis has never been used to process data collected by means of this questionnaire. The procedure will be detailed and exemplified by means of two empirical studies on social representations of the good wine and the good supermarket. The interests of such a contribution will be discussed from both methodological points of view and an applications perspective (AU)


El cuestionario de caracterización se inspira en metodologías Q (es decir, clasificación cualitativa). Consiste en pedir a los participantes que den su opinión sobre una lista de artículos, clasificándolos en categorías en función de su nivel de caracterización del objeto. Esta técnica nos permite obtener distribuciones para cada artículo y cada modalidad de respuesta (característico vs. no elegido vs no característico). Esta contribución propone analizar estas frecuencias por medio de análisis factorial de correspondencias. La originalidad de este artículo radica en el hecho de que este tipo de análisis nunca se ha utilizado para procesar datos recogidos mediante este cuestionario. Se detallará y ejemplificará el procedimiento a través de dos estudios empíricos sobre las representaciones sociales del buen vino y el buen supermercado. El interés de dicha contribución será discutido tanto desde el punto de vista metodológico como desde la perspectiva de las aplicaciones (AU)


Subject(s)
Humans , Male , Female , Social Conditions/trends , Social Problems/prevention & control , Social Problems/psychology , Social Indicators , Factor Analysis, Statistical , Surveys and Questionnaires
4.
Vendome; Presses Universitraires de France; 2008. 253 p.
Monography in French | LILACS | ID: lil-736749
5.
Vendome; Presses Universitraires de France; 2008. 253 p.
Monography in French | LILACS, Coleciona SUS | ID: biblio-940234
6.
Paris; Presses Universitaires de France; 2001. 252 p. tab.
Monography in French | Coleciona SUS | ID: biblio-935284
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