The ability to generate novel hypotheses is an important problem-solving capacity of humans. This ability is vital for making sense of the complex and unfamiliar world we live in. Often, this capacity is characterized as an inference to the best explanation--selecting the "best" explanation from a given set of candidate hypotheses.…

Research shows that learning conceptions are susceptible to change during possible critical transitions in students' school careers: such as the transition from primary to secondary education and the transition from secondary to higher education. This study aims to determine whether students' learning conceptions developed during the four years of…

This study examined waiting times for diagnostic assessment of Autism Spectrum Disorder in 11 adult services, prior to and following the implementation of a 12 month change program. Methods to support change are reported and a multi-level modelling approach determined the effect of the change program on overall wait times. Results were…

Background: Significant proportions of young people experience body dissatisfaction, which has implications for psychological and physical well-being. Lesson content and perceived competence may be important variables for the experience of body dissatisfaction, yet these have been underexplored in physical education. The aim of this…

The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…

This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…

The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…

Leveraging achievement data measured in the fall and spring of kindergarten through eighth grade for 840,000 students attending 8,800 public schools, we report novel evidence on how achievement and growth patterns differ between rural and nonrural schools. Rural students start kindergarten slightly ahead of nonrural students but fall behind by…

This study examined the effect of similar vs. dissimilar proficiency distributions on uniform DIF detection on a statewide eighth grade mathematics assessment. Results from the similar- and dissimilar-ability reference groups with an SWD focal group were compared for four models: logistic regression, hierarchical generalized linear model (HGLM),…

Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…

Multilevel models (MLMs) have proven themselves to be very useful in social science research, as data from a variety of sources is sampled such that individuals at level-1 are nested within clusters such as schools, hospitals, counseling centers, and business entities at level-2. MLMs using restricted maximum likelihood estimation (REML) provide…

In the field of education, most of the data collected are multi-level structured. Cities, city based schools, school based classes and finally students in the classrooms constitute a hierarchical structure. Hierarchical linear models give more accurate results compared to standard models when the data set has a structure going far as individuals,…

Populist radical right (PRR) parties have attracted anti-migration voters by claiming to serve the interests of nationally defined in-groups. Recently, several European PRR parties have shifted focus from protecting traditional values to protecting so-called modern Western values, including lesbian, gay, bisexual, and transgender rights. Here, we…

Since the 1990's, schools across the United States have been held accountable for increased student learning. Increased use of growth-based accountability models and a lack of clarity on what each model measures have resulted in a need for additional research focused on the real-world implications for teacher agency and school accountability. The…

Variance heterogeneity is a common feature of educational data when treatment differences expressed through means are present, and often reflects a treatment by subject interaction with respect to an outcome variable. Identifying variables that account for this interaction can enhance understanding of whom a treatment does and does not benefit in…