An Exploration of the Intercultural Competence and the Cross-Cultural Experiences of Educational Psychologists in the United Kingdom

The United Kingdom (UK) is becoming increasingly diverse (Office for National Statistics, 2013). Educational psychologists in the UK will need to feel competent in providing services to an increasingly multicultural population. This research study used a mixed method, two-phase, sequential, explanatory study design to explore the self-perceived intercultural competence of UK educational psychologists and trainee educational psychologists (EP/Ts). The study also explored EP/Ts experiences of working with culturally diverse populations. The first phase of this research study used an online adapted version of the MCCTS-R (Holcomb-McCoy & Myers, 1999; Munoz, 2009), and the second phase built upon the first phase with follow-up semi-structured interviews, analysed using Braun & Clarke's (2006) thematic analysis. The results of this research study present a breadth and depth of information. EP/Ts generally perceived themselves to be competent to work cross-culturally with particular areas of competence including knowledge of assessment bias, poverty effects, and positive attitudes towards diverse cultures. EP/Ts also reported areas of lower competence including theories of racial/ethnic identity development, limited experiences of community work and limited knowledge of community resources. However, EP/Ts perceptions about development needs depended upon their awareness. The process of participating in the study raised awareness of gaps in knowledge and limitations in practice. The study concludes with a discussion of implications for the practice of EP/Ts

Generically Stable Measures and Distal Regularity in Continuous Logic

We develop a theory of generically stable and smooth Keisler measures in NIP metric theories, generalizing the case of classical logic. Using smooth extensions, we verify that fundamental properties of (Borel)-definable measures and the Morley product hold in the NIP metric setting. With these results, we prove that as in discrete logic, generic stability can be defined equivalently through definability properties, statistical properties, or behavior under the Morley product. We also examine weakly orthogonal Keisler measures, characterizing weak orthogonality in terms of various analytic regularity properties. We then examine Keisler measures in distal metric theories, proving that as in discrete logic, distality is characterized by all generically stable measures being smooth, or by all pairs of generically stable measures being weakly orthogonal. We then use this, together with our results on weak orthogonality and a cutting lemma, to find analytic versions of distal regularity and the strong Erd\H{o}s-Hajnal property

A randomized trial in a massive online open course shows people don't know what a statistically significant relationship looks like, but they can learn

Scatterplots are the most common way for statisticians, scientists, and the public to visually detect relationships between measured variables. At the same time, and despite widely publicized controversy, P-values remain the most commonly used measure to statistically justify relationships identified between variables. Here we measure the ability to detect statistically significant relationships from scatterplots in a randomized trial of 2,039 students in a statistics massive open online course (MOOC). Each subject was shown a random set of scatterplots and asked to visually determine if the underlying relationships were statistically significant at the P < 0.05 level. Subjects correctly classified only 47.4% (95% CI: 45.1%-49.7%) of statistically significant relationships, and 74.6% (95% CI: 72.5%-76.6%) of non-significant relationships. Adding visual aids such as a best fit line or scatterplot smooth increased the probability a relationship was called significant, regardless of whether the relationship was actually significant. Classification of statistically significant relationships improved on repeat attempts of the survey, although classification of non-significant relationships did not. Our results suggest: (1) that evidence-based data analysis can be used to identify weaknesses in theoretical procedures in the hands of average users, (2) data analysts can be trained to improve detection of statistically significant results with practice, but (3) data analysts have incorrect intuition about what statistically significant relationships look like, particularly for small effects. We have built a web tool for people to compare scatterplots with their corresponding p-values which is available here: http://glimmer.rstudio.com/afisher/EDA/.Comment: 7 pages, including 2 figures and 1 tabl

Environmental Changes and the Dynamics of Musical Identity

Musical tastes reflect our unique values and experiences, our relationships with others, and the places where we live. But as each of these things changes, do our tastes also change to reflect the present, or remain fixed, reflecting our past? Here, we investigate how where a person lives shapes their musical preferences, using geographic relocation to construct quasi-natural experiments that measure short- and long-term effects. Analyzing comprehensive data on over 16 million users on Spotify, we show that relocation within the United States has only a small impact on individuals' tastes, which remain more similar to those of their past environments. We then show that the age gap between a person and the music they consume indicates that adolescence, and likely their environment during these years, shapes their lifelong musical tastes. Our results demonstrate the robustness of individuals' musical identity, and shed new light on the development of preferences.Comment: Accepted to be published at ICWSM'1

The ACS Survey of Galactic Globular Clusters. X. New Determinations of Centers for 65 Clusters

We present new measurements of the centers for 65 Milky Way globular clusters. Centers were determined by fitting ellipses to the density distribution within the inner 2\arcmin of the cluster center, and averaging the centers of these ellipses. The symmetry of clusters was also analyzed by comparing cumulative radial distributions on opposite sides of the cluster across a grid of trial centers. All of the determinations were done with stellar positions derived from a combination of two single-orbit ACS images of the core of the cluster in $F606W$ and $F814W$. We find that the ellipse-fitting method provides remarkable accuracy over a wide range of core sizes and density distributions, while the symmetry method is difficult to use on clusters with very large cores, or low density. The symmetry method requires a larger field, or a very sharply peaked density distribution.Comment: 17 pages, 8 figures, Accepted for publication in AJ, supplementary material will be available upon publicatio