Data Analysis Training Institute of Connecticut 2014 Workshops: http://www.datic.uconn.edu/2014-workshops/
R Project for Statistical Computing / June 4, 2014 (1 day workshop)
Instructors: Tania B. Huedo-Medina. This one-day workshop will introduce R project for Statistical Computing. We will explain the particularities of R compare to the mainstream commercial packages, and we will present the more than 5,000 free packages that R has to run statistical analysis and create publication quality graphics. At the end of the workshop the participants should be able to manage data, perform basic statistics and graphics, and generalize these skills to use R packages that will allow them to run more advanced statistical analyses.
Meta-Analysis Using R / June 5-6, 2014 (2 day workshop)
Instructors: Tania B. Huedo-Medina. Over the past 40 years, research exploring the links between biological, psychosocial, behavioral, and educational factors has grown exponentially. Understanding and reporting these interrelated factors that underlie individual variability will result in the most accurate evidence-based knowledge over time and across a variety of populations and intervention characteristics. To summarize these large masses of evidence, meta-analytic methods have seen sharply increased use across sciences, including many topics ranging from medical to social and behavioral sciences. As a consequence, the statistical techniques to conduct meta-analysis have been extended and improved intensely in the last 10 years to support an efficient and valid practice of meta-analysis. This workshop is a comprehensive introduction to those advanced statistical methods that have been developed recently in meta-analysis. At the end of the two days, you will be able to run meta-analytic methods under different statistical approaches that can capture and test complex models using meta-analysis.
Dyadic Analysis / June 9-13, 2014
Instructors: David A. Kenny and Tessa V. West. The workshop on dyadic data analysis will focus on data where both members of a dyad are measured on the same set of variables. Among the topics to be covered are the measurement of nonindependence, the actor-partner interdependence model, the analysis of distinguishable and indistinguishable dyads, mediation and moderation of dyadic effects, and over-time analyses of dyadic data. The software package used in the workshop will be SPSS, but there will be discussion of other packages (e.g., HLM) and structural equation modeling. Although the workshop does not require any prior knowledge or experience with multilevel modeling, participants are expected to have a working knowledge of multiple regression or analysis of variance as well as SPSS.
Structural Equation Modeling / June 16-20, 2014
Instructor: D. Betsy McCoach. This introductory workshop on Structural Equation Modeling covers basics of path analysis, confirmatory factor analysis, and latent variable modeling. Using AMOS Graphics, participants will learn how to build, evaluate, and revise structural equation models. Although the workshop does not require any prior knowledge or experience with SEM, participants are expected to have a working knowledge of multiple regression, as well as some experience using a statistical software program such as SPSS.
Hierarchical Linear Modeling (HLM) / June 23-27, 2014
Instructor: D. Betsy McCoach, & Ann A. O'Connell. Each HLM workshop covers basics and applications of miltilevel modeling with extensions to more complex designs. Participants will learn how to analyze both organizational and longitudinal (growth curve) data using multilevel modeling and to interpret the results from their analyses. Although the workshop does not require any prior knowledge or experience with multilevel modeling, participants are expected to have a working knowledge of multiple regression as well as SPSS (or SAS). Analyses will be demonstrated using the software HLMv7. Instruction will consist of lectures, computer workshops, and individualized consultations. The workshop emphasizes practical applications and places minimal emphasis on statistical theory.
SREE Summer 2013 HLM Short Course
Dates: July 11-13, 2013
Location: Carnegie Foundation, Stanford, CA
Instructors: Stephen Raudenbush, University of Chicago; Anthony Bryk, Carnegie Foundation
AICPA Psychometric Summer Internships 2013
Program Description: Our intern research opportunities are structured, project-based experiences. Exams Team psychometricians will lead interns through the development, execution, and write-up of a focused psychometric research study. Students will be assigned topics for research based on the interests and skills of the student along with the AICPA's current Exams Team research agenda. Current research agenda topics include: Implementation of assessment engineering principles into an operational exam environment; Examining critical values of local item dependence indicies for use in determining violations of local item independence; Developing a statistical method to detect longitudinal item parameter drift (IPD) in multistage testing (MST); Building a forensic monitoring system using statistical methods and/or artificial intelligence; Investigation of novel optimization techniques for automated test assembly (ATA); Investigation of equating for mixed form exams in multistage testing (MST).
Eligibility: Applicants should be graduate students in the latter phase of their program in Psychometrics, Educational Measurement, I/O Psychology, Statistics, Computer Science or a related field. Preference will be given to applicants who have completed their coursework and have strong evidence of research experience.
Duration: Successful candidates will be hired for 8 weeks during the summer of 2013, with the first week being on-site at the Exams Team office, located in Ewing, NJ. While in Ewing, students work with staff mentors to develop the specifics of their assigned studies. Students spend the remaining 7 weeks at their home university, during which time they will conduct their studies and deliver an agreed-upon set of deliverables that document their results and findings.
Compensation: Interns will be paid a $5,000 stipend. Additionally, AICPA covers all travel expenses, including hotel and per diem costs, for on-site visits.
Application: Interested applicants should assemble an application containing the following:
1. Cover letter with contact information (address, email, phone) and description of educational background.
2. Statement of research interests, skills, and how they relate to the projects listed above (1 - 2 pages, double-spaced).
3. Current curriculum vitae.
4. Two letters of recommendation.
Applications and questions regarding the internship program should be sent electronically to Jonathan Rubright, Ph.D., at email@example.com.
Deadline: Applications must be received by Mar. 29th, 2013.
Jonathan D. Rubright, Ph.D.
Psychometrician, Examinations Team
P: +1.609.671.2916 | F: +1.609.671.2922
Princeton South Corporate Center
100 Princeton South, Suite 200
Ewing, NJ 08628
Center for Advanced Studies in Measurement and Assessment (CASMA) Summer '13 Equating Workshop, June 24-28, Iowa City, IA
No workshop can replace a full-length course, but this particular 3.5 day workshop should provide participants with a good working knowledge of basic equating designs, statistical procedures, and applications. For the 2013 workshop, attendance will be limited to 18 persons. If registration is too low to justify holding the workshop, fees will be returned.
Visit the workshop web page for details: http://www.education.uiowa.edu/centers/casma/conferences/2013-equating-workshop
Workshop: Introduction to Rasch Measurement, April 25-26, San Francisco
This is a two-day workshop conducted by Richard Smith and Nikolas Bezruczko in San Francisco, CA. These are the two days prior to the start of the 2013 AERA/NCME annual meeting in San Francisco. The workshop will be held at the Marines' Memorial Club and Hotel, one of the AERA hotels about two blocks from Union Square.
The Spring 2013 workshop provides an introduction to Rasch measurement, covering all aspects of dichotomous and polytomous Rasch models. The topics covered in this workshop have been revised to include several new topics that relate to large scale assessments. These include the Residual Analysis Tool, a spreadsheet application that allows the use of item/person residuals to help guide instruction and curriculum decisions in schools, decision consistency in Rasch measurement, a key concept with high-stakes assessments, the Linear Logistic Test Model developed by Gerhard Fischer, an essential topic for quality test item development, and IPARM: Item and Person Analysis with the Rasch model, an enhanced person and item analysis program that provides considerably more diagnostic information than is provides by most calibration programs. Workshop attendees will receive a copy of three JAM Press book, Introduction to Rasch Measurement, Rasch Measurement: Advanced and Specialized Applications, and Criterion Referenced Testing: Practice Analysis to Score Reporting using Rasch Measurement, and a one year subscription to the Journal of Applied Measurement. The registration also includes a continental breakfast and lunch each day of the workshop. Further information on the workshop, including registration and hotel information, can be found at the JAM/JAM Press website (www.jampress.org) Simply click on the Rasch Measurement Workshops tab at the bottom of the page and this will take you to a pdf that contains the workshop description, agenda, and workshop registration information in a printable pdf file.
2013 Summer Institute in Statistics, University of Kansas
The University of Kansas Summer Institutes (aka “Stats Camps”) are presented by the Quantitative Training Program of Psychology and the Center for Research Methods and Data Analysis. The 5-day courses will take place from June 3, 2013 through June 21, 2013. For course descriptions and schedules, go to http://crmda.ku.edu/main/Summer_Institutes_in_Statistics
2013 Pearson Research Fellowship
The 8-week fellowship will take place from June 3, 2013 through July 26, 2013.
For more information, please see the informational flyer.
Pearson will offer an 8-week fellowship in the summer of 2013 for two doctoral students with outstanding research skills who wish to gain experience in educational assessment. The fellowship will include hands-on experience in the development and analysis of data for K-12 assessments. Specific activities may include item analysis/key check procedures, test construction, scaling and equating, technical writing, comparability studies, attendance/facilitation of item review committees, and other research projects. Fellows will also have an opportunity to learn about item content development, scoring and processing, and other aspects of educational testing.
Data Analysis Training Institute of Connecticut (DATIC), University of Connecticut, Three 1-Week Workshops
Registration is now open. Space is limited to 24 participants per workshop, so be sure to register early! The registration cost is $1100 if you register prior to April 1st. On campus housing and on campus hotel options are available. For more information or to register for the workshops, go to http://www.datic.uconn.edu
Dyadic Data Analysis Using Multilevel Modeling, June 3-7, 2013
Structural Equation Modeling, June 10-14, 2013
Hierarchical Linear Modeling (HLM), June 17-21, 2013
Applied Measurement with jMetrik Online Short Course
January 7-11, 2013
1:00-3:00 p.m. EST (UTC/GMT minus 5 hours)
Discounted Group Pricing Available for Groups of 5 or More
For more information and registration, visit http://curry.virginia.edu/jMetrik or contact firstname.lastname@example.org with any questions.
The purpose of the short course is to familiarize participants with jMetrik Version 3 Beta and its use in scale development and applied testing programs. All relevant measurement theory will be covered in the short course with emphasis on its implementation in jMetrik. At the end of the short course, participants will be proficient in using jMetrik to analyze test data. A complete list of short course topics and the short course schedule may be found at http://curry.virginia.edu/jMetrik.
Remote webinar participation allows you to join the short course from your home or office. A web browser and internet access are the only requirements for the webinar. The short course will be conducted for two hours a day for five days. All participants will have access to video recorded short course sessions for up to two months after the short course.
The short course will be conducted by Patrick Meyer, Ph.D., Assistant Professor at the University of Virginia and developer of jMetrik.
Version 3 is a major revision of jMetrik that includes changes to its underlying structure, database functionality, and graphical user interface. It also includes enhancements to existing psychometric procedures and the addition of several new methods. Some of the most notable changes include the capability to:
. Create new tables by selecting subsets of variables
. Create new tables by selecting subsets of examinees
. Save item analysis output to a new table in the database
. Save DIF analysis output to a new table in the database
. Save graphs to disk as png or jpg files
. Automatically save multiple characteristic curve plots to disk as jpg files
. Automatically generate item scoring commands from the interface
. Create your own matching score for a DIF analysis
. Create your own latent trait estimate for nonparametric characteristic curves
. Produce nonparametric curves more rapidly with less drain on system resources
Accompanying these enhancements are new features for item response theory linking and equating. jMetrik now provides the capability of estimating linking coefficients with mixed format tests using any combination of Rasch, two parameter logistic, three parameter logistic, partial credit, generalized partial credit, or graded response models. It also allows users to conduct IRT true score equating.
To read about other changes in version 3, please visit www.ItemAnalysis.com.
The Center for Integrated Latent Variable Research (CILVR) at the University of Maryland:
Winter Institute on Structural Equation Modeling
Two highly popular back-to-back short courses for research professionals, faculty, and graduate students
"Introduction to Structural Equation Modeling"
January 7-9, 2013 (Monday - Wednesday)
"Advanced Topics in Structural Equation Modeling"
January 10-11, 2013 (Thursday - Friday)
Dr. Gregory R. Hancock, University of Maryland
For more information, please visit
Twelfth Annual Maryland Assessment Conference:
Value Added Modeling and Growth Modeling with Particular Application to Teacher and School Effectiveness
The conference will be held on October 18th and 19th, 2012 (Thursday and Friday) at the Riggs Alumni Center, University of Maryland, College Park, MD 20742.
To register, follow the link: marces.org/conference/vam_gm/registration.html
Speakers and Presentations
Damian Betebenner (NCIEA), "Subverting Campbell's Law: A Unified Modeling Approach to Teacher and School Evaluation"
Derek Briggs (University of Colorado), "Multidimensionality, Vertical Scaling and Value-Added Models"
Hong Jiao and Robert W. Lissitz (University of Maryland), "Modeling Latent Growth Using Mixture Item Response Theory"
Andrew Ho (Harvard University), "Accuracy, Transparency, and Incentives: Contrasting Criteria for Evaluating Growth Models"
Cory R. Koedel (University of Missouri), "The Relationships between Growth, Improvement, and Standards-Based Achievement for Schools and School Districts: Evidence from Missouri"
J. R. Lockwood (RAND), "The Role of Test Measurement Error in Estimating Teacher Value Added: Problems and Solutions"
Joseph Martineau (Michigan Department of Education), "Borrowing the Strength of Unidimensional Scaling to Produce Multidimensional Profiles of Educator Effectiveness"
Robert Meyer (University of Wisconsin-Madison), "Technical and Consequential Validity in the Design and Use of Value-Added Systems"
Daniel McCaffrey (RAND), "Controlling for Context Variables in Teacher Value-Added: Why, Why Not, and How"
William Sanders, John White, and Paul Wright (SAS), "The Advantages of a Multivariate, Longitudinal, Layered Model for Extracting Reliable Information for Important Educational Decision Making"
Yeow Meng Thum (Northwest Evaluation Association), "The Effective Use of Some School-level Indicators of Student Learning Growth"
Mark Reckase (Michigan State University), "An IRT Approach for Estimating Teacher Competence"
2012 Summer Statistics & Methods Courses led by Dr. Alan Reifman
Workshop on Single Subject Research Methodology in Behavioral Sciences
Offered by University of Georgia, College of Education Institute for Interdisciplinary Research in Education & Human Development, College of Education Research Office
Date: 5 April, 2012; Location: The Georgia Center; Registration deadline March 22, 2012: www.coe.uga.edu/events
The Single Subject Research Methodology in Behavioral Sciences seminar will focus on the use of single subject research designs in answering applied research questions related to educational and clinical practices. We will encourage educators and therapists to view themselves as scientist-practitioners in which they assume an active role in applied research efforts in order to assess the ecological validity of research findings. Specifically, we will discuss baseline logic, the importance of direct and repeated measurement, direct measurement procedures, visual analysis of graphed data, research designs and how each evaluates threats to internal validity, and the importance of systematic replication as a means for extending the generality of any single research investigation. Participants are encouraged to bring research questions that we can discuss. This workshop is based on the book by Gast (2010) Single Subject Research Methodology in Behavioral Sciences published by Routledge. Instructors: Dr. David Gast, Department of Communication Sciences and Special Education, College of Education, University of Georgia Dr. Kevin Ayres, BCBA-D, Department of Communication Sciences and Special Education, College of Education, University of Georgia
To register, or for more information, please visit web site at www.coe.uga.edu/events. (posted 02/21/12)
2012 Modern Modeling Methods Conference & Workshops http://www.modeling.uconn.edu/
May 22-23, University of Connecticut: The Modern Modeling Methods (M3) conference is an interdisciplinary conference designed to showcase the latest modeling methods and to present research related to these methodologies. Keynote speakers for the 2012 conference include Donald Rubin, Jack McArdle, Peter Bentler, and Tom Snijders.
Pre-conference workshops — May 21
- An Introduction to Multiple Imputation with Ofer Harel
- Analysis of Longitudinal Social Network Data using RSiena with Tom Snijders
Post-conference workshop — May 24
- Cautiously Adding Dynamics to Longitudinal Analyses with Jack McArdle
Short Course on Hierarchical Linear Modeling, Summer 2012
SREE is offering a short course in Hierarchical Linear Modeling in July 2012. The course will be taught by Stephen Raudenbush and Anthony Bryk, co-authors of Hierarchical Linear Modeling: Applications and Data Analysis Methods. This 3-day intensive will be presented at the Carnegie Foundation for the Advancement of Teaching, on the campus of Stanford University, in Palo Alto, California. Course details and registration information are provided at https://www.sree.org/courses/2012/hlm/.
A link for reserving accommodations at the Stanford Park Hotel at a discounted rate is available on this website.
Please direct questions to email@example.com. (Posted 02/01/12)
Education Politics Workshop at AERA 2012 annual meeting, Vancouver, B.C.
The William L. Boyd National Educational Politics Workshop for graduate students and recent graduates. A 2 1/2-hour workshop held in conjunction with AERA. Named in honor of the late Dr. William Lowe Boyd, the workshop gives emerging scholars the opportunity to learn about current and promising research in the politics of education field, participate in break-out sessions, and interact with leading politics of education scholars in their areas of interest. When/Where: The workshop is tentatively scheduled for April 13th, 2012 from 2:30-5:00 pm at a location convenient to the AERA conference hotels in Vancouver, British Columbia (only waiting on AERA’s confirmation of date and time). Eligibility: All students with an interest in educational politics and currently enrolled in graduate schools in the U.S. or abroad are welcome to attend as are educational researchers who earned their doctoral degrees after March 1, 2010. Cost: There is no fee to attend, but participants must provide for their own travel and housing arrangements in Vancouver.
Data Analysis Training Institute of Connecticut (DATIC) at the University of Connecticut
DATIC is offering five week-long workshops in June and July, 2012. Registration is now open. Register online at www.datic.uconn.edu. Brief descriptions of the workshops can be found here. Space is limited to 24 participants per workshop, so be sure to register early! (Posted 12/20/11)
Grad students need to present effectively. Register for $200 for this one day course which teaches the fundamental strategies of analytical design, evaluating evidence used in presentations, statistical data: tables, graphics, and semi-graphics, use of PowerPoint, video, overheads, and handouts, multi-media, internet, and websites along with animation and scientific visualizations. (Posted 12/19/11)