In the research on mathematics education, numerous Likert-type instruments estimating attitudes toward mathematics are sometimes composed of factors with a high correlation, which can make it difficult to assign the statements from the scale to each estimated factor. Further, the measurement of attitudes is usually done by adding the scores but ignoring the existence of possible differences in the importance that each item can have in its factor estimation. A revision of the methodology for the study of attitudes toward mathematics for the correct validation of the instrument is carried out in this research, and an estimation of the factors of attitude is proposed using the calculation of the weighted average of scores based on the importance that each item has in the explanation of its factor, which is given by a structural equation model. This methodology has been applied to Auzmendi’s scale of attitudes toward mathematics measurement in a sample of 1293 university students. The factors were estimated using simple and weighted averages; significant differences have been obtained in the measurements, as well on those shown with the organization proposed by Auzmendi.

Increasing food supply chain sustainability means having to deal with many conflicting aspects and involves producers, several departments in distribution companies, and consumers. The objectives of this research are to develop models to solve real-world supplier evaluation problems and validate them with real data on fresh fruits in a supermarket chain. Literature review and results from a survey with managers from purchasing, logistics, and quality departments of a food distribution company are used to establish criteria, to first model the assessment of products and, second, to model supplier evaluation. A multicriteria hybrid approach is proposed, using multi-attribute utility theory (MAUT) to assess the quality of products and Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) to complete their evaluation with strategic criteria to be included in the second phase. The results allow companies to rank suppliers by product and classify them according to the main criteria categories, such as product strategy, food safety, economic, logistic, commercial, green image and corporate social responsibility. A sorting approach is also applied to obtain ordered groups of suppliers. Finally, the models proposed can form the core of a decision support system in order to create and monitor the supplier base in food distribution companies, as well as to inform sustainable decision making.

This study assessed dyadically the relationship between psychosocial impact of infertility experienced by 87 couples and individual coping strategies, perceived social support and some medical factors. Although problem-focused strategies emerged as positive, certain side effects on partner were revealed. Social support was related to psychosocial outcomes in a positive way, cognitive component of coping strategies resulted as a prominent factor on individual's adjustment as well as the partner's role. Findings suggest the convenience of promoting the awareness about the effects of each partner's feelings, behaviors and beliefs on his/her individual's well-being in this field due to the interdependent context in which they are. Infertility counselors may foster this process by evaluating and educating to them about the functionality of these factors.

Madinat Al-Zahra is an ancient Arab palace located in Cordoba, Spain, which was proclaimed as part of the World Heritage of Humanity in 2018. The public administration must know the tourist motivations and interest in this heritage, as well as the satisfaction with Cordoba as destination and this Archaeological Ensemble. This article addresses these issues by analyzing and comparing motivations, expected and perceived value with the destination and those of the monument itself, using a Structural Equation Models methodology. Data was obtained from a survey of 375 tourists and the results showed that there is a high satisfaction with both destination and site, although these people perceive that this heritage is not integrated with the rest of the city attractions. In addition, the survey highlights that the transport system to the site is one of the most important weaknesses, among others. The results of this study offer valuable information related to this heritage.

Despite its important position in academic and scientific fields, as well as in daily life, statistics is a subject that generates negative attitudes within most t disciplines in the college curriculum. This paper proposes a method for analysing different students’ attitudes toward statistics using paired ANOVA tests for comparing components and groups, and discriminant analysis application for measuring the discriminant power of different components. This method was applied to a sample of 145 teachers in training from the University XXX who were studying for degrees in Spanish, English, social sciences, and mathematics during the 2016–2017 academic year. Pedagogic and anthropologic components were established using Estrada’s Scale of Attitudes toward Statistics (EAEE). All the students were characterized on such a scale. The results show higher scores, mainly in instrumental components (and, to a lesser extent, cognitive and social components) from students majoring in mathematics. Furthermore, the cognitive component that most strongly characterizes students working toward a degree in social sciences, which suggests that they perceive statistics as a reliable subject but are not as aware of its utility when facing problems in everyday life. The information obtained in this study can be used to devise strategies that can lead to an improvement in future teachers’ attitudes toward statistics, which would, in turn, improve the performance of their future students.