Background/Objective: Child-to-parent violence has generated great interest on the part of professionals and researchers in recent years. Consequently, there is a need to provide an assessment instrument that includes a wide range of child-to-parent violence behaviours and all of elements that define this type of violence. Thus, the purpose of the current study was to analyse the structure, reliability and validity of the CPV-Q, an instrument to assess child-to-parent violence behaviours, including the reasons for aggression against parents. Method: A total of 1,386 Spanish adolescents (55.2% females; Mage= 14.7, SD = 1.7) were assessed using the CPV-Q. We obtained descriptive statistics of the items, the internal structure of the scale using both exploratory and confirmatory factor analysis, its reliability, and external evidence of its validity. Results: Data indicated a matrix of 4 factors with 14 parallel items (for the father and for the mother). Reasons for child-to-parent violence were grouped into instrumental and reactive reasons. Conclusion: The CPV-Q presents adequate psychometric properties; thus, it is proposed as a useful instrument to assess child-to-parent violence in both professional and research settings.
Summary: Genomes of emerging model organisms are now being sequenced at very low cost. However, obtaining accurate gene predictions remains challenging: even the best gene prediction algorithms make substantial errors and can jeopardize subsequent analyses. Therefore, many predicted genes must be time-consumingly visually inspected and manually curated. We developed GeneValidator (GV) to automatically identify problematic gene predictions and to aid manual curation. For each gene, GV performs multiple analyses based on comparisons to gene sequences from large databases. The resulting report identifies problematic gene predictions and includes extensive statistics and graphs for each prediction to guide manual curation efforts. GV thus accelerates and enhances the work of biocurators and researchers who need accurate gene predictions from newly sequenced genomes. Availability and implementation: GV can be used through a web interface or in the command-line. GV is open-source (AGPL), available at https://wurmlab.github.io/tools/genevalidator. Contact: y.wurm@qmul.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
Los estudios superiores representan el punto culminante del estrés académico, proceso multifactorial complejo, con alta carga de trabajo. El inventario SISCO del estrés académico posee buenas propiedades psicométricas para sus subescalas de Estresores, Sintomatología y para la puntuación media total, no así para la subescala de Afrontamiento. El objetivo de este artículo es corroborar lo reportado previamente en base a un análisis psicométrico completo. En 1126 estudiantes universitarios, se obtuvieron buenas propiedades psicométricas para las subescalas de Estresores y Sintomatología, con un buen ajuste en el análisis factorial confirmatorio, en base a una estructura de cuatro factores. La subescala de Sintomatología quedó conformada por las subescalas Reacciones físicas y psicológicas y por Reacciones del comportamiento social. La subescala de Afrontamiento mantiene propiedades psicométricas deficientes. La puntuación para el total de los ítems del instrumento muestra buenas propiedades psicométricas (alfa de Cronbach y omega de 0.820 y 0.860, respectivamente). Se corrobora lo reportado previamente, avalándose la necesidad de más estudios, y la modificación del instrumento, en especial la subescala de Afrontamiento.