Measurement invariance of the driving inattention scale (ARDES) across 7 countries.

The Attention-Related Driving Errors Scale (ARDES) is a self-report measure of individual differences in driving inattention. ARDES was originally developed in Spanish (Argentina), and later adapted to other countries and languages. Evidence supporting the reliability and validity of ARDES scores has been obtained in various different countries. However, no study has been conducted to specifically examine the measurement invariance of ARDES measures across countries, thus limiting their comparability. Can different language versions of ARDES provide comparable measures across countries with different traffic regulations and cultural norms? To what extent might cultural differences prevent researchers from making valid inferences based on ARDES measures? Using Alignment Analysis, the present study assessed the approximate invariance of ARDES measures in seven countries: Argentina (n = 603), Australia (n = 378), Brazil (n = 220), China (n = 308). Spain (n = 310), UK (n = 298), and USA (n = 278). The three-factor structure of ARDES scores (differentiating driving errors occurring at Navigation, Manoeuvring and Control levels) was used as the target theoretical model. A fixed alignment analysis was conducted to examine approximate measurement invariance. 12.3 % of the intercepts and 0.8 % of the item-factor loadings were identified as non-invariant, averaging 8.6 % of non-invariance. Despite substantial differences among the countries, sample recruitment or representativeness, study results support resorting to ARDES measures to make comparisons across the country samples. Thus, the range of cultures, laws and collision risk across these 7 countries provides a demanding assessment for a cultural-free inattention while-driving. The alignment analysis results suggest that ARDES measures reach near equivalence among the countries in the study. We hope this study will serve as a basis for future cross-cultural research on driving inattention using ARDES.

Newspaper framing of motor vehicle crashes and road safety in Argentina.

The media plays a key role in shaping the public's perception of road safety. This study analyzes the newspaper coverage and framing of motor vehicle crashes (MVCs) and road safety in Argentina, South America. The content of 304 articles published by 15 newspapers in November 2020 was reviewed. The results show that episodically framed news stories (focused on a single event or incident) prevail over thematically framed articles. MVCs are presented primarily as 'police' events and tend to receive more coverage when fatalities are involved. There is limited information provided on contextual and risk factors, and road safety advice is rarely included. Speeding, infrastructure, alcohol and other human-related variables are the most cited risk factors. Very few articles mention the use of protective devices (seat-belt, helmet and child restraint system). Although motorcyclists represent 40% of RTC deaths in Argentina, only 20% of the news coverage was about them. News coverage was quite similar in national and regional newspapers. There is an opportunity for the media to help build a better road safety culture, but significant changes in news framing are required. Practical recommendations for editors, journalists and road safety practitioners are provided.

Parenting in the context of driving: Spanish adaptation of the Family Climate for Road Safety (FCRSS) for parents and children.

The Family Climate for Road Safety Scale (FCRSS; Taubman - Ben-Ari & Katz - Ben-Ami, 2013) is a comprehensive measure originally developed in Israel to assess parent-children relations in the specific context of driving. The scale consists of seven dimensions: Modelling, Feedback, Communication, Monitoring, Messages, Limits, and Non-commitment to Safety. While the original FCRSS examines the young drivers' perception across the seven domains, a version applicable to parents has also been developed by the same authors. The current study investigates the validity and reliability of the FCRSS-Spain for both parents and young drivers. A total of 377 parents (199 fathers and 178 mothers) and 243 of their children (143 daughters and 100 sons) responded to the FCRSS-Spain versions and provided sociodemographic data. In addition, the young drivers completed the Spanish version of the Multidimensional Driving Style Inventory (MDSI-Spain). Results from exploratory structural equation modelling (ESEM) indicate that six out of the seven FCRSS domains were replicable among Spanish drivers. The Messages dimension did not emerge as a consistent factor in the FCRSS for either parents or young drivers. All six factors demonstrated good internal consistency reliability (ordinal alpha coefficients exceeding 0.70), except for Non-commitment to safety. Significant differences were found between mothers and fathers in various FCRSS dimensions in the predicted direction, whereas no significant differences in FCRSS scores were found between young men and young women. As expected, associations were found between parents' scores in various FCRSS dimensions and the reckless, angry, dissociative, anxious, and careful driving styles reported by the young drivers, as well as between young drivers' FCRSS scores and their self-reported reckless, angry, dissociative, anxious, and careful driving styles.

Motorcycle rider error and engagement in distracting activities: A study using the Attention-Related Driving Errors Scale (ARDES-M).

Research on motorcycle rider distraction and inattention is limited, especially when compared to that on car drivers. This study examines motorcycle rider error and its relationship with engagement in distracting activities. Additionally, it provides an adaptation of the Attention-Related Driving Errors Scale for use with motorcycle riders (ARDES-M). A sample of 418 motorcyclists responded to a web questionnaire consisting of the ARDES-M, a self-report measure of Involvement in Distracting Activities (IDA), a measure of everyday inattention (ARCES, Attention Related Cognitive Errors Scale) and socio-demographic and riding-related questions. Riding errors were associated with a higher level of engagement in distracting activities and a greater propensity for inattention in daily life. ARDES-M scores were associated with various types of self-reported traffic crashes and near-crashes, while self-reported distractions (IDA) were only linked with near-crashes. The most widely self-reported distracting activities were using map navigation, listening to the radio or to music and adjusting vehicle devices. The various uses of cell phones were relatively minor. Young riders reported higher levels of engagement in distracting activities and committing more riding errors. The ARDES-M showed good psychometric properties for the sample in Spain.

Implicit attitudes towards risky driving behaviors: Evidence of validity for the implicit association test.

INTRODUCTION: Attitudes toward risky driving behaviors are commonly evaluated through direct self-report measures. Nevertheless, these instruments have limitations, such as socially-desirable responding. This study examines the validity of the Implicit Association Test (IAT) as an indirect measure of attitudes towards risky driving. An IAT with "risky" vs. "safe" driving behaviors categories was evaluated. METHOD: A sample of 100 participants (ranging from 18 to 70 years of age) completed the IAT and measures of attitudes, driving styles, personality traits, risk-taking (IOWA Gambling Task), and social desirability (Driver Social Desirability Scale). RESULTS: A high level of internal consistency was found for IAT scores. The IAT was correlated with driving styles (risky, dissociative, and careful dimensions), risk-related personality traits (impulsive/sensation seeking and aggression/hostility) and risk-taking measures. IAT scores were also associated with self-reported risky driving behaviors (r = 0.33). As expected, a higher level of negative implicit attitudes was found among young drivers. The driver social desirability scale was correlated with most self-report measures, but not with the IAT. CONCLUSION: The present study provides reliability and validity evidence for the IAT as an indirect measure of attitudes towards risky driving. The IAT can serve as an important complement to conventional self-report measures of driving attitudes. Practical Applications: Potential use of global measure of implicit attitudes toward risky driving behaviors in the evaluation, education, and training of drivers are discussed.

Predicting road safety behavior with implicit attitudes and the Theory of Planned Behavior.

Introduction The Theory of Planned Behavior (TPB) is one of the most widely used psychological models when it comes to explaining road safety behaviors. Recently, studies have also been conducted from the perspective of dual-process models. However, the present is the first study on road safety behaviors that integrates both perspectives. The study evaluates the roles of both implicit attitudes and TPB constructs in the prediction of seatbelt use. Method A sample of 100 drivers completed: (1) a self-reporting instrument on seatbelt use, (2) a questionnaire addressing TPB constructs, (3) an indirect measure of attitudes (Implicit Association Test), and (4) a social desirability scale. Results Results suggest that both types of attitudes make a significant and quite similar contribution to the explanation of seatbelt use. Interestingly, implicit attitudes were a better predictor than explicit attitudes among participants reporting inconsistent seatbelt use. In addition, path analysis models suggested that implicit attitudes appear to be relatively independent of TPB constructs and have a direct effect on seatbelt use. Conclusion The findings advance the idea of adding implicit attitudes to variables from the TPB model in order to increase the explanatory power of models used to predict road safety behaviors. Practical applications Potential use of implicit attitude measures in the education and training of drivers are discussed.

Manipulating the Alpha Level Cannot Cure Significance Testing.

We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = 0.05 to p = 0.005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, and implications for applications. To boil all this down to a binary decision based on a p-value threshold of 0.05, 0.01, 0.005, or anything else, is not acceptable.

Propiedades psicométricas de una escala breve de autoeficacia para la conducción en conductores de Argentina / Psychometric properties of a driving self-efficacy scale-short form in Argentinean drivers

El objetivo de este estudio fue traducir y evaluar las propiedades psicométricas de la escala de autoeficacia para la conducción desarrollada por Dorn y Machin (2004). Se analizó la estructura factorial de la escala, la confiabilidad y se recogieron evidencias de validez externa en una muestra de 447 conductores de la ciudad de Córdoba, Argentina. Adicionalmente, se analizó la invarianza factorial en base al sexo. Los resultados obtenidos por medio de análisis factorial confirmatorio ratifican la estructura unidimensional de la escala, y la invarianza de sus parámetros (configural, métrica y escalar) en hombres y mujeres. Se verificó una consistencia interna adecuada mediante el coeficiente alfa y omega (.81 en ambos casos) y se obtuvieron evidencias satisfactorias de validez externa de las puntuaciones de la escala con medidas de percepción de riesgo, conducción riesgosa, e historial de choques y multas de tránsito. Por último, se comprobó que la escala resulta relativamente robusta frente al sesgo de deseabilidad social. En conjunto, los resultados avalan la validez y confiabilidad de la escala para su uso en Argentina, aunque se requieren nuevas investigaciones que analicen propiedades psicométricas adicionales.

The purpose of this study was to translate and examine the psychometric properties of a driving self-efficacy scale developed by Dorn and Machin (2004). The factor structure, reliability and external validity of the scale were examined in a sample of 447 drivers from Cordoba, Argentina. In addition, measurement invariance across sex was also tested. Results from a confirmatory factor analysis support the unidimensional structure of the scale and the invariance of its parameters (configural, metric and scalar) between men and women. Reliability analyses using alpha and omega coefficients revealed high internal consistency (coefficients equal to .81 in both cases) and satisfactory evidence of external validity of the scale scores, with measures of risk perception, risky driving, history of traffic crashes and fines. Finally, results also showed that the scale seems to be relatively robust against response biases due to social desirability. In summary, findings support the validity and reliability of the scale in Argentina. However, further studies analyzing additional psychometric properties are needed.

Implicit attitudes and road safety behaviors. The helmet-use case.

We studied the role of implicit attitudes on road safety behaviors. We also explored the methodological benefits of using implicit measures to complement conventional self-reporting instruments. The results suggest that: (a) implicit attitudes are capable of predicting observed differences in the use of protective devices (helmet use); (b) implicit attitudes correlate with the emotional component of the explicit attitudes (e.g., perception of comfort-discomfort), but appear to be independent of the more cognitive components (e.g., perceived benefits); (c) the emotional component of the explicit attitudes appears to be the major predictor of behavior; and (d) implicit measures seem to be more robust against social desirability biases, while explicit measure are more sensitive to such bias. We conclude that indirect and automatic measures serve as an important complement to conventional direct measures (self-reports) because they provide information on psychological processes that are qualitatively different (implicit) and can also be more robust when it comes to response bias.

Motorcycle helmet use in Mar del Plata, Argentina: prevalence and associated factors.

Injuries resulting from motorcycle crashes constitute a growing problem in Argentina and other Latin American countries. The problem is aggravated because helmet use is not widespread. This observational study analysed the prevalence of helmet use and related factors in a city in Argentina. The sample consisted of 2542 observations of motorcyclists. The results show an incidence of helmet use of 69.8% for drives and 43.4% for passengers. Helmet use was greater among women. Environmental and temporal conditions were related with the rate of helmet use. The findings indicate a considerable increase in helmet use with respect to prior years, providing evidence in favour of government policies. However, the number of motorcycles in circulation has tripled in the past five years, and therefore, the public health impact of injuries due to motorcycle crashes persists.

Adjective checklist to assess the big five personality factors in the Argentine population.

The aim of this work was to develop an adjective checklist to assess the Big Five personality factors in the Argentine population. The new instrument was administered to pilot (n= 112), validation (n= 372), and replication (n= 309) samples. The final version of the checklist included 67 adjectives encompassing its 5 dimensions. Factor analysis results were consistent with the Five-factor model. Internal consistency of scales was very good and convergent correlations with the Big Five Inventory (BFI; John, Donahue, & Kentle, 1991) were substantial. Face validity, as evaluated by 2 independent raters, was good. Preliminary evidence of validity for the checklist is presented. Finally, the Adjective Checklist for Personality Assessment and BFI are compared, taking into consideration their psychometric properties in our cultural context. Study limitations and future research are discussed.

Individual differences in driver inattention: the attention-related driving errors scale.

OBJECTIVES: Driver inattention is one of the most common causes of traffic collisions. The aim of this work was to study the reliability and validity of the Attention-Related Driving Errors Scale (ARDES), a novel self-report measure that assesses individual differences in driving errors resulting from failures of attention. The relationship between driver inattention and general psychological variables that could be connected to these phenomena was also explored. METHODS: Participants were a convenience sample of drivers drawn from the general population of Mar del Plata, Argentina (n = 301). Drivers responded to ARDES items, a sociodemographic questionnaire, and several validation measures. The internal structure of ARDES was assessed by factor analysis and internal consistency analysis. Analysis of covariance (ANCOVA) was applied to examine differences in ARDES scores due to sociodemographic variables. Logistic regression analysis was used to determine the association between ARDES and self-reported traffic crashes and tickets. Pearson's correlations were calculated between ARDES and validation measures. RESULTS: Factor analysis suggested the existence of one underlying factor. The 19 items proved to have discriminative power. The scale's internal consistency was high (Cronbach's alpha = .86). ARDES discriminated those who had reported road crashes and traffic tickets from those who had not. Correlations with validation measures were robust and theoretically consistent. Findings suggested that driving errors are strongly associated with general error proneness, lack of attention when performing everyday activities, and dissociative personality traits. CONCLUSION: The present study provides preliminary evidence for the validity and reliability of the ARDES scores. Further validation studies should be conducted applying other methodologies and sources of information, such as traffic records, driving simulations, or naturalistic methodologies.

[Classification statistical techniques: an applied and comparative study]. / Técnicas estadísticas de clasificación: un estudio comparativo y aplicado.

The aim of this article is to assess and compare three classification statistical techniques--logistic regression, discriminant analysis and classification trees--to identify the personality characteristics associated with the risk of suffering from ischemic cardiovascular acute episodes (ICAE). The sample comprised 313 participants, men and women, aged from 36 to 80. Participants were divided into two groups: a clinical group of patients (n = 143) who were diagnosed as suffering from ICAE, and a control group (n = 170). Both groups were equated in gender, age, socio-economic and educational level. In view of the comparative study of the analytical procedures, we recommend classification trees as the best choice, as it was the most accurate for the individuals in the clinical group, a simple data analysis and a meaningful clinical interpretation. The predictive validity analysis of the MCMI-II allowed the construction of a reduced version made up of 9 personality scales from the 22 scales in the original version. Thus, we could identify the patients with a higher probability of suffering from ICAE, and additionally, generate an empirical model comprising seven and five personality profiles associated, respectively, with the increase and the decrease of the probability of suffering from ICAE.

Técnicas estadísticas de clasificación: un estudio comparativo y aplicado / Classification statistical techniques: An applied and comparative study

El propósito de este trabajo es evaluar y comparar tres técnicas estadísticas de clasificación -regresión logística, análisis discriminante y árboles de clasificación- para identificar las características de personalidad asociadas al riesgo de padecimiento de episodios isquémicos cardiovasculares agudos (EICA). Se utilizaron la tasa de error y el índice C de discriminación como criterios para comparar los resultados obtenidos con las distintas técnicas. El tamaño de la muestra, compuesta por mujeres y hombres con edades comprendidas entre 36 y 80 años, fue igual a 313 participantes, quienes fueron divididos en dos grupos: clínico (n= 143) y control (n= 170), equiparándose por sexo, edad, nivel socio-económico y nivel educacional. El análisis de los resultados posibilitó la elección de los árboles de clasificación como la técnica más adecuada, ya que aporta un porcentaje de predicción más elevado, un tratamiento simple de los datos y una significativa interpretación clínica. Los resultados posibilitaron reducir a 9, de las 22 originales, las escalas de personalidad asociadas a una mayor probabilidad de padecer EICA y generar un modelo empírico de siete perfiles de personalidad asociados al aumento de la probabilidad de EICA y cinco perfiles de personalidad vinculados a la ausencia de patología

The aim of this article is to assess and compare three classification statistical techniques -logistic regression, discriminant analysis and classification trees- to identify the personality characteristics associated with the risk of suffering from ischemic cardiovascular acute episodes (ICAE). The sample comprised 313 participants, men and women, aged from 36 to 80. Participants were divided into two groups: a clinical group of patients (n= 143) who were diagnosed as suffering from ICAE, and a control group (n= 170). Both groups were equated in gender, age, socio-economic and educational level. In view of the comparative study of the analytical procedures, we recommend classification trees as the best choice, as it was the most accurate for the individuals in the clinical group, a simple data analysis and a meaningful clinical interpretation. The predictive validity analysis of the MCMI-II allowed the construction of a reduced version made up of 9 personality scales from the 22 scales in the original version. Thus, we could identify the patients with a higher probability of suffering from ICAE, and additionally, generate an empirical model comprising seven and five personality profiles associated, respectively, with the increase and the decrease of the probability of suffering from ICAE