Dolores Muñoz

The effect of previous experience with information and communication technologies on performance in a Web-based learning program

The purpose of the present study was to analyze the influence of previous experience with information and communication technology (ICT) tools on performance in a Web-based course. Online activity was logged. Specifically, total activities carried out and five online activity measures were computed. One hundred and twenty university undergraduates participated in a Web-based course designed to train personnel trainers to apply ICT in training processes. Before starting the study, participants filled out a questionnaire designed to assess their frequency using ICT tools. At the end of the study, participants were asked to complete a questionnaire in order to collect information about their learning experience and their assessment of the virtual environment. Results suggest that previous experience significantly influences how people organize their online activities, but not the quantity of work carried out. Participants with more experience in the use of Internet tools, organize their work in the virtual classroom using less time and visiting fewer pages in each session. Previous experience did not influence the assessment of the virtual classroom as a training tool, since participants with both high and low previous experience gave extremely positive feedback on their Web-based learning experience.

Mixed Emotional Appeals in Emotional and Danger Control Processes

Negative emotional appeals do not always help to reduce risk behaviors. We report two studies about a new strategy based on the presentation of appeals with mixed sequential emotions (e.g., sadness/fear–joy/relief). Study 1 shows that a mixed message generates lower post-message discomfort than an exclusively negative message; moreover, in this first study, reported probability of performing the risk behavior, binge drinking, in the future is also lower in the mixed condition. Study 2 replicates these results and relates them to the extended parallel process model (EPPM) (Witte, 1992). Here, the mixed emotional message again generates lower post-message discomfort than the negative one, and participants are motivated to control the danger (response efficacy is evaluated more positively in the mixed condition).

Comparing the Effects of Negative and Mixed Emotional Messages on Predicted Occasional Excessive Drinking

Nicotine, the addictive component of cigarette smoke has profound effects on the brain. Activation of its receptors by nicotine has complex consequences for network activity throughout the brain, potentially contributing to the addictive property of the drug. Nicotinic receptors have been implicated in psychiatric illnesses like schizophrenia and are also neuroprotective, potentially beneficial for neurodegenerative diseases. These effects of nicotine serve to emphasize the multifarious roles the drug, acting through multiple nicotinic acetylcholine receptor subtypes. The findings also remind us of the complexity of signaling mechanisms and stress the risks of unintended consequences of drugs designed to combat nicotine addiction.

Future‐oriented emotions in the prediction of binge‐drinking intention and expectation: the role of anticipated and anticipatory emotions

The Theory of Planned Behavior (TPB) offers a parsimonious explanation of purposive behavior, but in the study of healthy and risk behaviors its sufficiency may be questioned. Working with binge-drinking, a very common risk behavior in Spanish undergraduate students, we used two strategies for improving predictions from TPB: using behavioral intention (BI) and behavioral expectation (BE) as proximal antecedents of behaviors and adding as new predictors two future-oriented emotions (anticipated and anticipatory). Hierarchical regression analyses show that while anticipated emotions improved TPB explanations of BI, anticipatory emotions improved the explanations of BE. The present results show the influence of future emotions in the prediction of behavioral intention and behavioral expectation.The version posted must contain the text: This is the accepted version of the following article: Carrera, P., Caballero, A. & Munoz, D. (2012). Future-oriented emotions in the prediction of binge-drinking intention and expectation: the role of anticipated and anticipatory emotions. Scandinavian Journal of Psychology 53, 273–279, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9450.2012.00948.x/epdf

Construal level as a moderator of the role of affective and cognitive attitudes in the prediction of health‐risk behavioural intentions

In two preliminary control checks it was shown that affective attitudes presented greater abstraction than cognitive attitudes. Three further studies explored how construal level moderated the role of affective and cognitive attitudes in predicting one health-promoting behaviour (exercising) and two risk behaviours (sleep debt and binge drinking). There was a stronger influence of affective attitudes both when participants were in abstract (vs. concrete) mindsets induced by a priming task in Studies 1a and 1b, and when behavioural intentions were formed for the distant (vs. near) future in Study 2. In the case of concrete mindsets, the results were inconclusive; the interaction between construal level and cognitive attitudes was only marginally significant in Study 1b. The present research supports the assertion that in abstract mindsets (vs. concrete mindsets) people use more affective attitudes to construe their behavioural intentions. Practical implications for health promotion are discussed in the framework of construal-level theory.

Abstractness and Messages Describing Consequences Promote Healthier Behavioral Intentions

Abstract Many health-risk behaviors present a self-control conflict in which the short-term outcomes of an action conflict with its long-term consequences. Across three studies, we find that an abstract construal level leads people to focus on long-term rather than short-term consequences when both are described in a message (vs. no message). Studies 1 and 2 explore this hypothesis through a risk behavior (snacking on sugary products), and Study 3 does the same through a health behavior (physical exercise). In Study 1, the Behavioral Identification Form scale is used to measure the construal level as a personal disposition; Studies 2 and 3 use a priming task designed by Freitas, Gollwitzer, and Trope to manipulate the construal level. All these studies show that, under an abstract mindset, people who have read a mixed-outcome message (vs. no message) tend to base their behavioral plans on long-term outcomes. Individually or in small groups (e.g. school class, therapy groups) health messages can be presented along with protocols to change construal level and thus, promote healthier intentions.

Abstract Construal Level and its Link to Self-Control and to Cross-Situational Consistency in Self-Concept: Predicting Health-Risk Behavioral Intentions

From a dispositional perspective, we extend the action identification theory (Vallacher & Wegner, 1987) and construal level theory (Trope & Liberman, 2003) to cross-situational consistency of self and self-control. Two studies examined the relationships among the abstract mindset (Vallacher & Wegner, 1989), cross-situational consistency in self-concept (Vignoles et al., 2016), and self-control (Tangney, Baumeister, and Boone 2004). In Study 1, participants (N = 725) characterized by high cross-situational consistency showed more abstraction in their thinking (p < .001, ηp2 = .17). In Study 2 (N = 244) cross-situational consistency and self-control explained 10% of construal level, with self-control being a significant predictor (p < .001). Construal level and cross-situational consistency explained 17% of self-control; both were significant predictors (p < .001). Self-control explained 8% of cross-situational consistency (p < .001). Study 2 showed that participants with higher levels of abstraction, cross-situational consistency, and self-control reported a greater intention to control their future sugar intake (p < .001). Data supported relationships among abstract construal level, cross-situational consistency and self-control.

Developmental changes (14–21 years old) in binge drinking patterns and their explanatory factors / Cambios evolutivos (14–21 años) en los patrones de ingesta puntual de alcohol en exceso y en sus factores explicativos

AbstractIn order to design prevention programs, it is important to understand the evolution of drinking behaviour patterns among adolescents and young people. The aim of this paper is to analyse the changes in these patterns based on age and their role in explaining this behaviour in the Theory of Planned Behaviour framework. We used 273 participants divided into three sub-samples (3rd and 4th ESO [Educacion Secundaria Obligatoria, ‘Compulsory Secondary Education’] students and university students). For older ages, the frequency of binge drinking is higher and the attitudes were also more positive towards alcohol consumption. Structural equation analyses show that drinking behaviour is explained by a different model in each age-group: in older groups, the role played by positive attitude and perceived control is more important than in the younger; by contrast, the influence of reference groups decreases with age. Results show significant differences between age groups regarding the reasons that young peop...Abstract In order to design prevention programs, it is important to understand the evolution of drinking behaviour patterns among adolescents and young people. The aim of this paper is to analyse the changes in these patterns based on age and their role in explaining this behaviour in the Theory of Planned Behaviour framework. We used 273 participants divided into three sub-samples (3rd and 4th ESO [Educación Secundaria Obligatoria, ‘Compulsory Secondary Education’] students and university students). For older ages, the frequency of binge drinking is higher and the attitudes were also more positive towards alcohol consumption. Structural equation analyses show that drinking behaviour is explained by a different model in each age-group: in older groups, the role played by positive attitude and perceived control is more important than in the younger; by contrast, the influence of reference groups decreases with age. Results show significant differences between age groups regarding the reasons that young people report for engaging or not engaging in this behaviour.