Estimation of MIMIC Model Parameters with Multilevel Data

The purpose of this simulation study was to assess the performance of latent variable models that take into account the complex sampling mechanism that often underlies data used in educational, psychological, and other social science research. Analyses were conducted using the multiple indicator multiple cause (MIMIC) model, which is a flexible and effective tool for relating observed and latent variables. The data were simulated in a hierarchical framework (e.g., individuals nested in schools) so that a multilevel modeling approach would be appropriate. Analyses were conducted accounting for and not accounting for the nested data to determine the impact of ignoring such multilevel data structures in full structural equation models. Results highlight the differences in modeling results when the analytic strategy is congruent with the data structure and what occurs when this congruency is absent. Type I error rates and power for the standard and multilevel methods were similar for within-cluster variables and for the multilevel model with between-cluster variables. However, Type I error rates were inflated for the standard approach when modeling between-cluster variables.     

Effects of knowledge and display design on comprehension of complex graphics

In two experiments, participants made inferences from weather maps, before and after they received instruction about relevant meteorological principles. Different versions of the maps showed either task-relevant information alone, or both task-relevant and task-irrelevant information. Participants improved on the inference task after instruction, indicating that they could apply newly acquired declarative knowledge to make inferences from graphics. In Experiment 1, participants spent more time viewing task-relevant information and less time viewing task-irrelevant information after instruction, and in Experiment 2, the presence of task-irrelevant information impaired performance. These results show that domain knowledge can affect information selection and encoding from complex graphics as well as processes of interpreting and making inferences from the encoded information. They also provide validation of one principle for the design of effective graphical displays, namely that graphics should not display more information than is required for the task at hand.     

A value‐added study of the impact of science curriculum reform using the National Pupil Database

This article compares the examination performance of students following General Certificate of Secondary Education Applied Science and Double Award science on a value‐added basis. It uses data from the National Pupil Database, which are analysed by a variety of methods, including multilevel modelling. It argues that the claims made within Office for Standards in Education reports on the impact of the new Applied Science course are inaccurate, and in some cases positively wrong. The authors' analysis, based on the second (2003–05) cohort of students following the course, shows that students of lower attainment at Key Stage 3 appear to perform better than would have been predicted from their Key Stage 3 attainment, but that higher attaining pupils perform less well. Schools offering Applied Science show greater diversity in the value‐added effects they produce than they do with Double Award science. The article argues that analyses of this kind are of value in seeking to understand the impact of curriculum reform, but that they are dangerous as a generalized guide for policy. They must be complemented by work in schools in which the sources of the effects observed and of school diversity are examined.     

Parshanut Through Art: The High School Student as Biblical Commentator

The following research study presents data drawn from an arts-based qualitative research study from 2013. Students created artistic interpretations of biblical texts using a variety of media. One of the significant findings of the study was that learning through the arts provided students with an opportunity to take on the role of parshan, or biblical commentator. Three examples of artwork is presented and combined, they show that by taking on the role of parshan, students were able to craft original interpretations of text and develop new connections with the text. Learning in this way demonstrated the significance of integrating the arts into Bible curricula as a vehicle for developing new types of positive and educational experiences for students.     

Aspiring to include versus implicit ‘othering’: teachers' perceptions of inclusive education in Wales

Wales, one of the four nations of the UK, is currently undergoing major education system-level reform. From the curriculum, through to a new additional learning needs (ALN) system, there is a renewed focus on inclusive education. Research has shown the importance of teachers' attitudes towards inclusion in creating inclusive learning environments. This research study is based on data from a survey of teachers in Wales (n = 253) exploring their perceptions of inclusive education. Thematic analysis of open-text responses revealed that while teachers were able to articulate the ‘ideal’ of inclusion, these positive ideals were often caveated by both implicit othering of learners with ALN and by the explicit limitations of behaviour, training, and finance and resources. This article critically evaluates the implications of teacher perceptions of inclusive education in Wales, suggesting that without a change in teacher attitudes, the vision of an inclusive education system may be compromised.     

Relationship of executive functioning and memory to autism symptomology and adaptive functioning: Implications for reducing future underemployment

Understanding the relationship between executive functioning and its connection to working memory and adaptive functioning can inform planning and employment efforts. This study explored the relationship between memory and adaptive functioning with a sample of Autistic youths/young adults. Participant mean age was 21.3 (SD = 3.0). Of the 22 participants, 17 were male, and 19 white, non-Hispanic/Latina/o/x. All but one lived with their parent(s). Participants were administered a full battery assessing cognitive ability (WAIS-IV), memory and executive functioning (WMS-IV and DKEFS), autism symptomatology (ADOS-II), and adaptive functioning (SIB-R). A multivariate lasso regression model was used. Memory, especially as measured on the WMS-IV, was found to be significantly related to adaptive functioning and autism symptomatology. There appears to be continuing evidence that memory is highly related to adaptive functioning and autism symptomatology. Interventions involving auditory and immediate memory could be helpful in promoting more mutually effective social interactions necessary for positive employment outcomes.     

Lockbox: mobility,privacy and values in cloud storage

This paper examines one particular problem of values in cloud computing: how individuals can take advantage of the cloud to store data without compromising their privacy and autonomy. Through the creation of Lockbox, an encrypted cloud storage application, we explore how designers can use reflection in designing for human values to maintain both privacy and usability in the cloud.     

网格技术:改进数据访问的性能

<正>谈起网格,肯定要涉及数据、信息以及如何在分布式的基础设施上对二者进行智能化处理。而这个时候似乎更让大家着迷的是网格的计算能力,而数据在以计算为重点的网格中仅能占据次席。这是为什么呢?通常,我们从媒体对网格计算方面的报道就可以看出。例     

Economic returns to education: What We Know, What We Don’t Know, and Where We Are Going—Some brief pointers

The estimation of the economic return to education has perhaps been one of the predominant areas of analysis in applied economics for over 50 years. In this short note we consider some of the recent directions taken by the literature, and also some of the blockages faced by both science and policymakers in pushing forward some key issues. This serves by way of introduction to a set of papers for a special issue of the Economics of Education Review.     

The European university landscape: A micro characterization based on evidence from the Aquameth project

This paper provides a new and systematic characterization of 488 universities, from 11 European countries: Finland, France, Germany, Hungary, Italy, Netherlands, Norway, Portugal, Spain, Switzerland and UK. Using micro indicators built on the integrated Aquameth database, we characterize the European university landscape according to the following dimensions: history/foundation of university, dynamics of growth, specialization pattern, subject mix, funding composition, offer profile and productivity.