Seonho Shin, Ph.D. Vitae
Seonho Shin2024 E. Monument Street Suite 1-200Baltimore, MD 21287443-287-8547sshin34@jhmi.eduEDUCATIONThe University of Iowa, Iowa CityPh.D. in Educational Measurement and Statistics, 2011Academic Adviser: Dr. Robert L. BrennanA comparison of van der Linden’s conditional equipercentile equating with other equating methods under random groups design. The University of Iowa, Iowa CityABD in Applied Mathematics and Computational Science, 2008 Successfully completed all Ph.D. comprehensive exams in Artificial Intelligence, Advanced Numerical Analysis, and Analysis.Pusan National University, Pusan, Republic of KoreaB.S. in Mathematics, 1992PROFESSIONAL EXPERIENCE PsychometricianJohns Hopkins University School of Medicine 10/2014 – PresentProjects: Clerkship program evaluation & analysis Student’s performance analysis of all medical school courses Research on the relationship between pre-clinical courses and clinical coursesEffect on the order of clerkships using generalizability theoryClinical assessment analysis using generalizability theoryReliability analysis in Objective Structured Clinical Exam (OSCE)Research on the influence of standardized patients on clinical assessmentPrediction of student’s performance based on clinical performancePsychometrical consultantSupport survey analysisSupport and/or leading various research activitiesMeasured Progress 11/2013 – 10/2014 Projects:Equating invariance analysisNew statistical model to detect erased responsesPsychometric educationsManaging statewide assessment programsNew England Common Assessment Program (NECAP),Massachusetts Comprehensive Assessment System (MCAS),New Mexico, Nevada and OklahomaLeading PsychometricianPrometric 05/2009 – 10/2013 Projects:Managed certification testing programs; advised test developers and test publishing specialists at each stage of development and publishing cycleDeveloped Linear-on-the Fly Test (LOFT) forIndian Institute of Management (IIM): Common Admission Test (CAT) Society of Actuaries: Probability (P/1)Society of Actuaries: Financial Mathematics (FM/2)Institute of Certified Management Accountants (ICMA): Part 1 and Part 2Internal Revenue Service (IRS): Tax preparer examDeveloped CBT exams with modern psychometric theory models forInternal Revenue Service (IRS)Financial Industry Regulatory Authority (FINRA): NASAA 63, 65, and 66Indian Institute of Management (IIM)European Personnel Selection Office (EPSO)Association for Vascular Access: Vascular Access Certification Corporation (AVA-VACC)American Institute of Retirement Education: Enrolled Retirement Plan Agent (AIRE-ERPA)DSST: College Credit ExamsHewlett-Packard (HP)OracleInternational Association of Privacy Professionals (IAPP)United State Martial Service (USMS)DANTES (PBT)Provided psychometric expertise to psychometricians and statisticians forAutomotive Service Excellence (ASE)Certified Financial Planner (CFP)Saudi Commission for Health Specialists (SCHS)American Veterinary Medical Association (AVMA)Areas in psychometric services for the above testing programsParallel form building using CTT or IRT (automated form assembly)Application of structural equation modelingQuality control, in particular scoring/equating/scaling processPsychometric reports for clientsItem analysisEquating reportTechnical reportItem drift analysis for IRT clientsPost administration test analysisTime analysisAnnual in-service analysisKey impact analysisItem calibrationItem bank maintenanceEquating and scalingEquating research for small sample size examsItem exposure control in LOFTItem security in LOFT and CBTModified Angoff standard settingComputer programming for data parsing, equating, scaling and LOFT/CATResearch Assistant/StatisticianThe University of IowaNursing Department 01/2009 – 04/2009 Projects:Managed data using SASData analysis using HLMResearch AssistantThe University of IowaEducational Measurement and Statistics Department 08/2004 – 12/2008 Projects:Created Windows based graphical user interface integrating and modifying legacy equating codes written in C. It provides user-friendly interfaces to compute various equating applications. Equating methods (mean, linear, and equipercentile method), smoothing methods (log-linear, beta-binomial and cubic spline method), standard error estimation using bootstrap method, and truncation are included for different choice of the group design. It is being implemented using Windows system programming in C++.Teaching AssistantThe University of IowaMathematics Department 08/1999 – 12/2004 Taught in dependent discussion sections for calculus coursesManaged data using SASPROGRAMMING LANGUAGES AND SOFTWARE EXPERIANCES: Programming SkillsCOBOL, FORTRAN,C, C++, C#, JavaScientific programming in Mathematica and MatlabSoftware Proficiency – Advanced level inStatistics software packages: SPSS, SAS, R, WinBUGS SEM package: Mplus, SASOS: All Window versions, Macintosh, Linux, Unix Microsoft Office Suite: Excel, Word, PowerPoint, Access, OneNoteWeb programming software: MS FrontPageMS Visual Studio .NET/MS Visual Studio 2010BILOG-MG3, Winsteps, PASCALE RESEARCH AND PAPERS ResearchThe effect to student’s performance based on the order of clerkship programs (prediction analysis)The effect of human judgement to student’s clinical performanceReliability analysis in OSCE using generalizability theoryComparison between the traditional equipercentile equating methods and a conditional equating method (local equating method) under random group designThe effect of equating methods on forms with different difficulty level.Modified statistical model to robust for erasure detectionComparable statistics of erasure detection between CBT and PBTComparison among IRT true-score, IRT observed-score equating methods, and a conditional equipercentile equating method under random group designA conditional equating method under common-item nonequivalent groups designModified circle arc equating method for small sample size examMultidimensional IRT Item parameter estimationEffect on item security by item exposureItem drift analysis comparisonItem security breach: detecting cheat & item harvestStructural Equation Modeling using measurement model PublicationsS. Shin & J. Seol: Parallelizing shadow test approach in computer adaptive test and its experimental analysis of scalability (in preparation for IACAT conference)S. Shin: Exposure control methods and its impact on under-exposure rate in CAT and LOFT exams (in preparation)J. Seol & S. Shin: Comparison of Two Statistics to Detect Cheating in Multistage Test National Council of Measurement in Education, Philadelphia, PA, April 2014S. Shin & J. Seol: Innovative way to measure classification consistency and accuracy for Linear-on-the-Fly-Test (LOFT), Innovation in Testing APT 2014, Scottdale, AZ, March 2014J. Seol, S. Shin, & L. Smith: Optimal estimation of multidimensional IRT using simulated annealing method, International Meeting of the Psychometric Society, Lincoln, NE, July 2012 J. Seol, S. Ro, S. Hagge, & S. Shin: Small N and utility of an extended circle-arc equating method, International Meeting of the Psychometric Society, Hong Kong, August 2011S. Shin: A comparison of van der Linden’s conditional equipercentile equating with other equating methods under random groups design. Ph.D. Thesis, The University of Iowa, July 2011J. Seol, S. Shin, and S. Ro: Automatic presmoothing method using cross-validated smoothing splines, National Council of Measurement in Education, Denver, CO, April 2010PROFESSIONAL AFFILIATIONSNational Council of Measurement in Education (2004 – present)American Educational Research Association (2004 – present)The Psychometric Society (2004 – present)Women Executives at Prometric (2012 – 2013)Women in Science and Engineering at University of Iowa (2000 – 2004) ................
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