Swarna Srinivasan (swarnasras)'s Public Profile in the Diigo Community

Member since Jun 07, 2008, follows 30 people, 1 public groups, 2731 public bookmarks (2750 total).

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Recent Bookmarks and Annotations

UC Berkeley Webcasts | Video and Podcasts: Statistics 21, 001 on 2009-10-20
Thesis Proposal on 2009-10-18
http://www.ei-india.com/projects/metrostudy/metro.php on 2009-10-14
Educational Initiatives » What’s Wrong with our Teaching? on 2009-10-14
MESA Memo 1: Sample-free Measurement on 2009-10-11
- In order to examine the dependence of test calibration on the abilities of
  these law students, let us construct the worst possible situation. Into a Dumb
  Group we will put the 325 students who did worst on the test. The best of them
  got a score of 23. Into a Smart Group we will put the 303 students who did best.
  The worst of them got a score of 33. Thus, we have two groups dramatically
  different in their ability to succeed on this test of reading comprehension.
  There are 10 points difference between the smartest of the Dumb Group and the
  dumbest of the Smart Group.
  
  Now for the acid test. How would a test calibration based on the Dumb Group
  compare with one based on the Smart Group? To remind us of how things look using
  the old way of doing things, I made up these calibrations in terms of sample
  percentiles.
- So much for person-free test calibration. Now, how about the companion question?
  Can ability be measured in a fashion that frees it from dependence on the use of
  a fixed set of items? Is item-free person measurement possible? If a pool of
  test items has been calibrated on a common scale, can we use any selection we
  want from that pool to make statistically equivalent ability measurements
Item Response Theory on 2009-10-11
- In IRT, the true score is defined on the latent trait of interest rather than on
  the test, as is the case in classical test theory
L. L. Thurstone: A Method of Scaling Psychological and Educational Tests on 2009-10-10
Exposure Control Using Adaptive Multi-Stage Item Bundles. on 2009-10-10
- computer-adaptive sequential testing framework introduced by R. Luecht and R.
  Nungester (1998
RESEARCH REPORTS on 2009-10-08
- Alternative Approaches to Updating Item Parameter Estimates in Tests With
  Item Cloning (CT-03-01)
  by Cees A. W. Glas,
  University of Twente, Enschede, The Netherlands
  
  Executive
  Summary
  Full
  Research Report
- A Bayesian Method for the Detection of Item Preknowledge in CAT
  (CT-98-07)
  by
  Lori D. McLeod, Law School Admission Council; Charles Lewis, Educational Testing
  Service; and David Thissen, University of North Carolina at Chapel
  Hill
  
  Executive
  Summary
  Full Research
  Report
- 10 more annotations...
- - A Comparison of Item-Selection Methods for Adaptive Tests With Content
    Constraints (CT-04-02)
    by Wim J. van der Linden,
    University of Twente, Enschede, The Netherlands
    
    Executive
    Summary
    Full
    Research Report
  - Computerized Adaptive Testing with Item Cloning (CT-01-03)
    
    by
    Cees A. W. Glas and Wim J. van der Linden, University of Twente, Enschede, The
    Netherlands
    
    Executive
    Summary
    Full Research
    Report
  - Conceptual Issues in Response-Time Modeling (RR-08-01)
    
    by Wim J. van der Linden,
    University of Twente, Enschede, The Netherlands
    
    Executive
    Summary
    Full Research
    Report
  - Detecting Items That Have Been Memorized (CT-99-05)
    by Lori McLeod and Deborah
    L. Schnipke
    
    Executive Summary
    Full Research Report
  - Detection of Advance Item Knowledge Using Response Times in Computer
    Adaptive Testing (CT-03-03)
    by Rob R. Meijer and
    Leonardo S. Sotaridona, University of Twente, Enschede, The
    Netherlands
    
    Executive
    Summary
    Full
    Research Report
  - Effects of Multidimensionality on IRT Item Characteristics and True Score
    Estimates: Implications for Computerized Test Assembly (CT-97-06)
    
    by Xiang-Bo Wang,
    Vincent Harris, and Louis Roussos
    
    Executive
    Summary
    Full
    Research Report
  - The Influence of Speededness on Item-Parameter Estimation
    (CT-96-07)
    by Deborah L. Schnipke
    
    Executive
    Summary
    Full Research
    Report
  - Making Use of Response Times in Standardized Tests: Are Accuracy and
    Speed Measuring the Same Thing? (CT-97-04)
    by David J. Scrams,
    Johns Hopkins University and Deborah L. Schnipke, Law School Admission
    Council
    
    Executive
    Summary
    Full
    Research Report
  - Modeling Item Response Times With a Two-State Mixture Model: A New
    Approach to Measuring Speededness (CT-96-02)
    by Deborah L. Schnipke
    and David J. Scrams
    
    Executive
    Summary
    Full
    Research Report
  - Modeling Nonignorable Missing Data Processes in Item Calibration
    (CT-04-07)
    by Cees A. W. Glas, and Jonald L. Pimentel, University of Twente,
    Enschede, The Netherlands
    
    Executive
    Summary
    Full
    Research Report
How India Is Tackling Their Education Problem - Conversation Starter - HarvardBusiness.org on 2009-10-07