This paper examines the relationship between decision-making styles and values of Spanish adolescents and analyses the role of age and gender on their use of and decision-making styles. The scientific literature suggests that decision-making consists of different stages through which individuals reach a solution to their dilemmas. An ex post facto quantitative, non-experimental research design was used and applied to a sample of adolescents of Madrid (España). The Flinders Adolescents Decision-Making Questionnaire (FADMQ) by Mann as well as the Schwartz Values Scale (SVS) were also used. Correlation analysis was used to analyze the decision-making styles and values of adolescents using the variables gender and age to classify the sample. The study concludes that adolescents who use an tend to pursue mastery of the values , and , whereas adolescents who use a tend to shy away from the value and are more conservative. In terms of gender, the results for both females and males coincide in the significant correlations found between their decision-making styles and values. In terms of age, the correlations between values and decision-making styles are higher and numerous in younger adolescents. We conclude that the relationships verified could help educators to engage and act on the development of specific decision-making training programs based on the values of adolescents.
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http://dx.doi.org/10.3390/ijerph17228315 | DOI Listing |
JMIR Med Educ
January 2025
Digital Society Initiative, University of Zurich, Zurich, Switzerland.
Background: The increased use of digital data in health research demands interdisciplinary collaborations to address its methodological complexities and challenges. This often entails merging the linear deductive approach of health research with the explorative iterative approach of data science. However, there is a lack of structured teaching courses and guidance on how to effectively and constructively bridge different disciplines and research approaches.
View Article and Find Full Text PDFBrain Topogr
January 2025
Faculty of Psychology, Southwest University, Chongqing, 400715, China.
Studies have shown that a cross-modal association between listening to music and eating. This study aims to explore the influence of music style on individuals' food preferences and provide evidence for understanding multi-sensory research. Twenty-seven participants participated in the experiment which consisted of two parts.
View Article and Find Full Text PDFInt J Speech Lang Pathol
January 2025
Speech Pathologist, Western Sydney Local Health District, North Parramatta, NSW, USA.
Purpose: This preliminary study sought to explore speech-language pathology students' perspectives of a novel placement experience embedding traditional and non-traditional placement and supervisory model-elements in a hospital setting.
Method: A mixed-method sequential explanatory design was used, incorporating an online survey comprising of 26 questions and a focus group. Descriptive statistics were obtained and a reflexive thematic approach was used to analyse the transcripts.
Sci Rep
January 2025
Business School, Sichuan University, 610059, Chengdu, China.
The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
School of Psychological Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW 2308, Australia.
Self-reports are used ubiquitously to probe people's thoughts, feelings, and behaviors and inform medical decisions, enterprise operations, and government policy and legislation. Despite their pervasive use, self-report measures such as Likert scales have a profound problem: Standard analytic approaches do not control for the confounding effects of idiosyncratic response biases. Here, we present a model-based solution to this problem.
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