Secondary School Students’ Perception of the Acquisition of Social Science Skill

The aim of this study is to find out the relevance of the competences worked on in the area of social science, specifically in the subjects of geography and history, through the perceptions of pupils in the 4th year of compulsory secondary education (ESO). In order to carry out the survey, a purposive sampling was carried out in which more than 1400 4th year ESO students (in Spain) participated. In addition, using a Likert-type scale of our own creation called Evaluation of the Perception of Social Science Competences (EPECOCISO) and following a design of quantitative methodology, an exploratory factor analysis was carried out with the analysis software SPSS through the descriptive process, which allowed us to select the three factors that make up the study. Subsequently, correlations were established between factors through Pearson’s test, and between the different variables that make up each one of them with the socio-demographic variables (distinguishing between ordinal and nominal variables) through the chi-square test of independence and Cramer’s V test (nominal), as well as the linearity test, Goodman’s gamma test, and the Kruskal (ordinal) test. Finally, one of the most important conclusions of this study is that the difficulties encountered by students in the acquisition of competences is conditioned by the development of the assessment processes that are carried out.

ROC Estimation from Clustered Data with an Application to Liver Cancer Data

In this article, we propose a regression model to compare the performances of different diagnostic methods having clustered ordinal test outcomes. The proposed model treats ordinal test outcomes (an ordinal categorical variable) as grouped-survival time data and uses random effects to explain correlation among outcomes from the same cluster. To compare different diagnostic methods, we introduce a set of covariates indicating diagnostic methods and compare their coefficients. We find that the proposed model defines a Lehmann family and can also introduce a location-scale family of a receiver operating characteristic (ROC) curve. The proposed model can easily be estimated using standard statistical software such as SAS and SPSS. We illustrate its practical usefulness by applying it to testing different magnetic resonance imaging (MRI) methods to detect abnormal lesions in a liver.

The Use of Ordinal Test Theory in Cross-cultural Research in Behavioural Science

This paper introduces the problems of cross-cultural research and shows how ordinal test theory can contribute to the solution of some of these problems. The concept of tied-ranks scores is introduced and the use of these scores for dichotomous and polytomous items is explained, as is the use of this theory for the examination of conjoint ordering. Conjoint ordering can then be used to determine the existence of an underlying variable, and to establish whether or not the same underlying variable can be defined for each of the cultures to be compared. Given the satisfaction of these conditions, cross-cultural comparisons can be made. Other considerations germane to the problem of cross-cultural comparisons are also considered.