The Program in Measurement, Statistics and Evaluation (EDMS) is pleased to announce its popular three-day short course:
INTRODUCTION TO BAYESIAN STATISTICAL MODELING June 7-9, 2017 (Wednesday, Thursday, Friday) Location: College Park, Maryland (an on-line option is available) Instructor: Dr. Roy Levy, Arizona State University ([email protected]) This three-day course is intended as both a theoretical and practical introduction to Bayesian statistical modeling. The course does not require expertise with calculus or prior experience with Bayesianapproaches. An understanding of Bayesian statistical modeling will be developed by relating it to participants’ existing knowledge of traditional frequentist approaches. To introduce Bayesian principles in familiar contexts we will begin with simple binomial and univariate normal models, then move to regression, and then give examples of more complex models including factor analysis, item response models, structural equation models, multilevel modeling, and Bayesian networks. Along the way, we will cover aspects of modeling including model construction, graphical representations of models, Markov chain Monte Carlo (MCMC) estimation, evaluating hypotheses and model-data fit, model comparisons, and modeling in the presence of missing data. For more information on the workshop, including registration, please visit http://www.education.umd.edu/EDMS/ShortCourses/Bayesworkshoppage2017.html Please feel free to contact Dr. Levy ([email protected]) with questions about the workshop. Make your reservations soon! ************************************************************ Gregory R. Hancock, University of Maryland Distinguished Scholar-Teacher Professor and Program Director, Measurement, Statistics and Evaluation Department of Human Development and Quantitative Methodology Director, Center for Integrated Latent Variable Research (CILVR) 1230 Benjamin Building 3942 Campus Drive University of Maryland College Park, MD 20742-1115 tel: 301.405.3621 e-mail: [email protected] www.education.umd.edu/EDMS
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Post-Doctoral Positions in Language and Literacy, New York University, Steinhardt School
The NYU research program in language and literacy seeks to hire a post-doctoral fellow under the direction of Professor Susan Neuman in the Department of Teaching and Learning. The position will begin in late-August, early September, 2017-August, 2018. The post-doctoral fellow will take leading roles in designing and conducting experimental work on early language and literacy development in low-income populations. The post-doctoral fellow will play a major role in an IES project designed to examine educational media supports for low-income children, ages 4-5 years old. The focus of the grant is to understand the pedagogical supports that enhance children’s learning of vocabulary and comprehension. The post-doctoral fellows will be expected to participate fully in the design, implementation and analysis of data in the study and provide mentorship to graduate students in the data collection process. The candidate must have a Ph.D. or Ed.D. in psychology or education (or a related field) and substantive knowledge and background in education sciences, particularly in the areas of early childhood and early literacy development. The candidate should also have strong quantitative research and writing-for-publication skills. Candidates will be considered based upon demonstrated research skills, potential for impact, and match to the interests of the research program. The appointment will begin September 2016 for an initial period of one year; positions are eligible for renewal. Salary and benefits are competitive. Review of materials will begin immediately and will continue until the position is filled. Candidates should submit:
Full-Time Programming/Data Analysis Position at the University of North Carolina at Chapel Hill
Dr. Margaret Sheridan is seeking a full-time research assistant to join the Department of Psychology and Neuroscience at UNC Chapel Hill starting immediately (start date is flexible). The research assistant will primarily contribute to ongoing studies in the Child Imaging Research on Cognition and Life Experiences Lab (CIRCLE Lab), with a focus on early childhood brain development and exposure to adversity. The holder of this position will be responsible for overall neuroimaging study coordination (e.g., maintaining study files, training undergraduate research assistants, interfacing with the various personnel involved in the study, writing and submitting IRB modifications and renewals). Additional responsibilities include (1) recruitment and scheduling of potential research participants, including parents of young children ages 4-7 years and adolescents (ages 9-14 years), (2) administering the study battery to participants at off site locations throughout the Triangle area, including self-report, interview, behavioral measures, as well as conducting fMRI scans at the Biomedical Research Imaging Center (BRIC), (3) data management and analysis using SPSS and neuroimaging analysis software (e.g., FSL, FreeSurfer) that requires programming experience in languages commonly used for neuroimaging analysis (e.g., Linux shell scripting, Python, and/or Matlab). Preference will be given to candidates with experience recruiting and working with families. A detailed description of the CIRCLE lab research studies can be found athttp://circlelab.unc.edu/ Please apply here: http://unc.peopleadmin.com/postings/116319
Post-Doctoral Fellowships Available: Computational Cognitive Development Group @ Rutgers-Newark3/8/2017 Post-Doctoral Fellowships Available: Computational Cognitive Development Group
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