Short and Long-Term Effects on Academic Performance of a School-Based Training in Self-Regulation Learning: A Three-Level Experimental Study.

An experimental study was designed to analyze the effect of school-based training in self-regulation learning strategies on academic performance (Mathematics, Sciences, Language, and English). Class-level variables (i.e., gender, the teacher's teaching experience, class size) were considered and the effects of the intervention were measured at the end of the intervention and 3 months later. A sample of 761 students from 3rd and 4th grades (356 in the control condition and 405 in the experimental condition), from 14 schools, participated in the study. Data were analyzed using three-level analysis with within-student measurements at level 1, between-students within-classes at level 2, and between-classes at level 3. Data showed a positive effect of the intervention on student performance, both at post-test (d = 0.25) and at follow-up (d = 0.33) considering the four school subjects together. However, the effect was significant just at follow-up when subjects were considered separately. Student performance was significantly related to the students' variables (i.e., gender, level of reading comprehension) and the context (teacher gender and class size). Finally, students' gender and level of reading comprehension, as well as the teacher's gender, were found to moderate the effect of the intervention on students' academic performance. Two conclusions were highlighted: first, data emphasize the importance of considering time while conducting intervention studies. Second, more teaching experience does not necessarily translate into improvements in the quality of students' instruction.

[Empirically Supported Psychological Treatments for Children and Adolescents: State of the Art].

Empirically Supported Psychological Treatments for Children and Adolescents: State of the Art. BACKGROUND: The empirical evidence accumulated on the efficacy, effectiveness, and efficiency of psychotherapeutic treatments in children and adolescents calls for an update. The main goal of this paper objective was to carry out a selective review of empirically supported psychological treatments for a variety of common psychological disorders and problems in childhood and adolescence. METHOD: A review was carried out of the psychological treatments for different psychological disorders and problems in social-emotional or behavioral adjustment in the child-adolescent population according to the Spanish National Health System (Clinical Practice Guidelines) levels of evidence and degrees of recommendation. RESULTS: The findings suggest that psychological treatments have empirical support for addressing a wide range of psychological problems in these developmental stages. The degree of empirical support ranges from low to high depending on the phenomenon analyzed. The review suggests unequal progress in the different fields of intervention. CONCLUSIONS: From this update, psychologists will be able to make informed decisions when implementing those empirically supported treatments to address the problems that occur in childhood and adolescence.

Freshmen Program Withdrawal: Types and Recommendations.

University program dropout is a problem that has important consequences not only for the student that leaves but also for the institution in which the withdrawal occurs. Therefore, higher education institutions must study the problem in greater depth to establish appropriate prevention measures in the future. However, most research papers currently focus primarily on the characteristics of students who leave university, rather than on those who choose to pursue alternative courses of study and therefore fail to take into account the different kinds of abandonment. The aim of this paper is to identify the different types of dropout to define their characteristics and propose some recommendations. Thus, an ex post facto study was carried out on a sample of 1,311 freshmen from a university in the north of Spain using data gathered using an ad-hoc designed questionnaire, applied by telephone or an online survey, and completed with data available in the university data warehouse. A descriptive analysis was performed to characterize the sample and identify five different groups, including 1. Students persisting in their initiated degree 2. Students who change of program (within the same university) 3. Students transferring to a different university 4. Students enrolling in non-higher-education studies 5. Students that quit studying. Also, data mining techniques (decision trees) were applied to classify the cases and generate predictive models to aid in the design of differentiated intervention strategies for each of the corresponding groups.

Corrigendum: Comparison of Personal, Social and Academic Variables Related to University Drop-out and Persistence.

[This corrects the article on p. 1610 in vol. 7, PMID: 27803684.].

Comparison of Personal, Social and Academic Variables Related to University Drop-out and Persistence.

Dropping out of university has serious consequences not only for the student who drops out but also for the institution and society as a whole. Although this phenomenon has been widely studied, there is a need for broader knowledge of the context in which it occurs. Yet research on the subject often focuses on variables that, although they affect drop-out rates, lie beyond a university's control. This makes it hard to come up with effective preventive measures. That is why a northern Spanish university has undertaken a ex post facto holistic research study on 1,311 freshmen (2008/9, 2009/10, and 2010/11 cohorts). The study falls within the framework of the ALFA-GUIA European Project and focuses on those drop-out factors where there is scope for taking remedial measures. This research explored the possible relationship of degree drop-out and different categories of variables: variables related to the educational stage prior to university entry (path to entry university and main reason for degree choice), variables related to integration and coexistence at university (social integration, academic integration, relationships with teachers/peers and value of the living environment) financial status and performance during university studies (in terms of compliance with the program, time devoted to study, use of study techniques and class attendance). Descriptive, correlational and variance analyses were conducted to discover which of these variables really distinguish those students who drop-out from their peers who complete their studies. Results highlight the influence of vocation as main reason for degree choice, path to university entry, financial independency, social and academic adaptation, time devoted to study, use of study techniques and program compliance in the studied phenomenon.

Predicting approach to homework in Primary school students / Predicción del enfoque de trabajo en los deberes escolares en estudiantes de Primaria

BACKGROUND: The goal of this research was to study the weight of student variables related to homework (intrinsic homework motivation, perceived homework instrumentality, homework attitude, time spent on homework, and homework time management) and context (teacher feedback on homework and parental homework support) in the prediction of approaches to homework. METHOD: 535 students of the last three courses of primary education participated in the study. Data were analyzed with hierarchical regression models and path analysis. RESULTS: The results obtained suggest that students' homework engagement (high or low) is related to students' level of intrinsic motivation and positive attitude towards homework. Furthermore, it was also observed that students who manage their homework time well (and not necessarily those who spend more time) are more likely to show the deepest approach to homework. CONCLUSIONS: Parental support and teacher feedback on homework affect student homework engagement through their effect on the levels of intrinsic homework motivation (directly), and on homework attitude, homework time management, and perceived homework instrumentality (indirectly). Data also indicated a strong and significant relationship between parental and teacher involvement

ANTECEDENTES: el objetivo de esta investigación fue estudiar el peso de variables del alumno relacionadas con los deberes escolares (motivación intrínseca, percepción de utilidad, actitud, tiempo dedicado y gestión de ese tiempo) y del contexto (feedback del profesor y apoyo parental) en la predicción de los enfoques de trabajo en los deberes. MÉTODO: participaron 535 estudiantes de los tres últimos cursos de Primaria. Los datos fueron analizados en base a modelos de regresión jerárquica y path analysis. RESULTADOS: los resultados sugieren que la mayor o menor implicación del alumno en la realización de sus deberes escolares está relacionado con el grado de motivación intrínseca y una actitud positiva hacia ellos. También se observa que los estudiantes que gestionan bien su tiempo dedicado a los deberes (y no necesariamente los que dedican más tiempo) son quienes más profundamente trabajan en ellos. CONCLUSIONES: el apoyo parental y el feedback del profesor inciden sobre la implicación de los estudiantes a través de su efecto sobre los niveles de motivación intrínseca (directamente), y de la actitud, gestión del tiempo y percepción de utilidad (indirectamente). También sugieren una relación fuerte y significativa entre la implicación parental y de los profesores en los deberes escolares

Predicting approach to homework in Primary school students.

BACKGROUND: The goal of this research was to study the weight of student variables related to homework (intrinsic homework motivation, perceived homework instrumentality, homework attitude, time spent on homework, and homework time management) and context (teacher feedback on homework and parental homework support) in the prediction of approaches to homework. METHOD: 535 students of the last three courses of primary education participated in the study. Data were analyzed with hierarchical regression models and path analysis. RESULTS: The results obtained suggest that students’ homework engagement (high or low) is related to students´ level of intrinsic motivation and positive attitude towards homework. Furthermore, it was also observed that students who manage their homework time well (and not necessarily those who spend more time) are more likely to show the deepest approach to homework. CONCLUSIONS: Parental support and teacher feedback on homework affect student homework engagement through their effect on the levels of intrinsic homework motivation (directly), and on homework attitude, homework time management, and perceived homework instrumentality (indirectly). Data also indicated a strong and significant relationship between parental and teacher involvement.

Análisis de medidas repetidas usando métodos de remuestreo / Analyzing repeated measures using resampling methods

Este artículo evalúa la robustez de varios enfoques para analizar diseños de medidas repetidas cuando los supuestos de normalidad y esfericidad multimuetral son separada y conjuntamente violados. Específicamente, el trabajo de los autores compara el desempeño de dos métodos de remuestreo, pruebas de permutación y de bootstrap, con el desempeño del usual modelo de análisis de varianza (ANOVA) y modelo lineal mixto con la solución Kenward-Roger implementada en SAS PROC MIXED. Los autores descubrieron que la prueba de permutación se comportaba mejor que las pruebas restantes cuando se incumplían los supuestos de normalidad y de esfericidad. Por el contrario, cuando se violaban los su-puestos de normalidad y de esfericidad multimuestral los resultados pusieron de relieve que la prueba Bootstrap-F proporcionaba un control de las tasas de error superior al ofrecido por la prueba de permutación y por enfoque del modelo mixto. La ejecución del enfoque ANOVA se vio afectada considerablemente por la presencia de heterogeneidad y por la falta de esfericidad, pero escasamente por la ausencia de normalidad (AU)

This article evaluated the robustness of several approaches for analyzing repeated measures designs when the assumptions of normality and multisample sphericity are violated separately and jointly. Specifically, the authors’ work compares the performance of two resampling methods, bootstrapping and permutation tests, with the performance of the usual analysis of variance (ANOVA) model and the mixed linear model procedure ad-justed by the Kenward–Roger solution available in SAS PROC MIXED. The authors found that the permutation test outperformed the other three methods when normality and sphericity assumptions did not hold. In contrast, when normality and multisample sphericity assumptions were violated the results clearly revealed that the Bootstrap-F test provided generally better control of Type I error rates than the permutation test and mixed linear model approach. The execution of ANOVA approach was considerably influenced by the presence of heterogeneity and lack of spheric-ity, but scarcely affected by the absence of normality (AU)