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EPRS9360

Advanced Item Response Theory

Syllabus Reading List

 

 

Spring 2015 (1/14/2015)         
Class Date Description Presenter Activity During Class HW Prior to Class  Reading Prior to Class
1 1/15 Introduction   Set up Lync Review Exam 2 from Intro to IRT

 

 

F2F            
2 1/22 Learning R for IRT  David Fikis   Start planning your project (Brightspace/D2L)  Wiberg (2007) for review of DIF methods
Online         Rank order articles you would like to present (See Classes 3, 7) & email by  Mon 19  
         

Watch Video on R Basics (1:38:28), http://vimeo.com/99251765

Watch Video on R Graphics (45:43),http://vimeo.com/112326725

Tianna's R Survival Guide (2013)
3 1/29 Measurement Equivalence Carmen Teresi, et al. (2015) Wald Read all three articles prior to the class Teresi, et al. (2015) Wald
    (Wald, Logistic regression, IRTLR) Tianna Banh, et al. (2012) Logistic Regression   Banh, et al. (2012) Logistic Regression
      Kathleen Kim, et al. (2010) IRTLR   Kim, et al. (2010) IRTLR
      Elena Meriac, et al. (2010) DFIT   Meriac, et al. (2010) DFIT
4 2/5 SAS for IRT: Part I. Basics  Sarah Kim  

Watch Video on SAS (1:12:14) http://vimeo.com/20790018

Watch Video "Polytomous IRT in Plain Excel" (11:30) in D2L

Turn in HW1 (Leaning R) in Dropbox by Wed 11:59PM

Kim & Oshima (2013)

Hambleton, et al. (2010) in D2L

F2F       Lab Install SAS on your computer  
5 2/12 Running DFIT (BILOG-MG3, DIFCUT) Vincent Hunter  

Turn in SASHW1 in Dropbox by Wed 11:59PM

Get acquainted with DFIT and IPR (Item Parameter Replication)

Croudase, et al. (2005) BILOG
Online   SAS for IRT: Part II. IML    

Watch Video on why we learn both SAS and R (24:10)

https://www.youtube.com/watch?v=MvcJN63LHIk

Nanda, et al. (2006) DIFCUT

Oshima, et al.(2006) IPR

          Watch Video "IRTdemo1" (4:36) in D2L A DFIT article (MGNCDIF) in D2L
6 2/19 Polytomous Data Analysis    

Turn in SASHW2 in Dropbox by Wed 11:59PM

Watch Video "IRTdemo2" (5:14) in D2L

Read IRTPRO Guide on how to run polytomous model and DIF and run examples

McCarty & Oshima (2007)
F2F   (IRTPRO, Parscale)   Lab

Turin in IRTPROHW1 (Polytomous Data Analysis) in Dropbox by Wed 11:59PM

 

 
7 2/26 More IRT Jieru Woods, et al. (2013) Multiple-Group Wald Read all three articles prior to the class Woods, et al. (2013) 
      Xiaoxuan French and Finch (2010) DIF/HLM Logistic Regression Turn in RHW2 (difR) in Dropbox by Wed 11:59PM French and Finch (2010) DIF/HLM 
      Qi Saybert, et al. (2013) GGUM/DFIT   Saybert, et al. (2013) GGUM/DFIT
            Any other articles related to above
8 3/5 SAS for IRT: Part III. Macros Vincent Hunter  

Turn in Challenge HW in Dropbox by Wed 11:59PM

Watch Video on Macro (16:03) https://www.youtube.com/watch?v=bEXKgIJSfzg

Peruse dissertations 

 
F2F         http://coeweb.gsu.edu/coshima/EPRS9360/dissertations.htm  
          Final Project Plan Due Wed. 3/4 11:59PM  
9 3/12 Individual Project   F2F office hours Turn in SASHW3 in Dropbox by Wed 11:59PM  
          Update project progress in D2L  
Spring Break 3/19 No Class        
             
10 3/26 Individual   Online office hours Update project progress in D2L Wright & Oshima (2014)
    Project        
11 4/2 Guest Speaker   F2F Meeting Update project progress in D2L  
    Keith Wright        
12 4/9 Individual Project     Update project progress in D2L  
             
13 4/16 Project        
             
14 4/23 Project        
             
15 4/30 Presentation     Final Project Due Tue 11:59PM 4/28 Tue  

 

 

 

 

 

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Basic IRT

Module 16, Fall 1993: Comparison of Classical Test Theory and Item Response Theory and Their Application to Test Development.

Module 7, Spring 1989: Comparison of 1-, 2-, and 3-Parameter IRT Models. Deborah Harris

DIF

<Overview>

Using Statistical Procedures to Identify Differentially Functioning Test Items. Brian E. Clauser & Kathleen M. Mazor (ITEMS)

<DFIT>

Oshima, T. C., & Morris, S. B. (2008). An NCME Instructional Module on Raju’s Differential Functioning of Items and Tests (DFIT). Educational Measurement: Issues and Practice, 27, 43-50.

Raju, N. S., van der Linden, W. J., &  Fleer, P. F. (1995). IRT-based internal measures of differential functioning of items and tests. Applied Psychological Measurement, 19 (4), 353-368.

Oshima, T. C., Raju, N. S., & Nanda, A. (2006). A new method for assessing statistical significance in the differential functioning of items and tests (DFIT) framework. Journal of Educational Measurement, 43, 1-17.

Nanda, A. O., Oshima, T. C., & Gagne, P. (2006). DIFCUT: An SAS program for conducting significance tests for differential functioning of items and tests (DFIT). Applied Psychological Measurement, 30, 150-151.

<MH>

Wiberg 2007

<Logistic Regression>

Zumbo 1999

<DBF>

Gierl, M. J., Bisanz, J., Bisanz, G. L., Boughton, K. A., & Khaliq, S. (2001). Illustrating the utility of differential bundle functioning analyses to identify and interpret group differences on achievement tests. Educational Measurement: Issues and Practice, Summer, 26-36.

Oshima, T. C., Raju, N. S., Flowers, C. P., & Slinde, J. (1998). Differential bundle functioning (DBF) using the DFIT framework: Procedures for identifying possible sources of differential functioning. Applied Measurement in Education, 11, 353-369.

Polytomous IRT

Flowers, C. P., Oshima, T. C., & Raju, N. S. (1999).  A description and demonstration of polytomous- DFIT framework.  Applied Psychological Measurement, 23, 309-326.

McCarty, F., Oshima, T. C., & Raju, N. S. (2007). Identifying possible sources of differential functioning using differential bundle functioning with polytomously scored data. Applied Measurement in Education, 20, 205-225.

Multidimensional IRT

Using Multidimensional Item Response Theory to Evaluate Educational and Psychological Tests. Terry A. Ackerman & Mark J. Gierl & Ciny M. Walker

Oshima, T. C., Raju, N. S. & Flowers, C. P. (1997). Development and demonstration of multidimensional IRT-based internal measures of differential functioning of items and tests. Journal of Educational Measurement, 34, 253-272.

Snow, T. K., & Oshima, T. C.  (2009). A Comparison of unidimensional and three-dimensional DIF analysis using two-dimensional data. Educational and Psychological Measurement.69, 732-747.

 

Others

Assessing Differential Item Functioning Among Multiple Groups: A Comparison of Three Mantel-Haenszel Procedures.Authors: Penfield, Randall D.1Source: Applied Measurement in Education; 2001, Vol. 14 Issue 3, p235-259, 25p, 9 charts

Thompson, N.A. (2007). A practitioner's guide for variable-length computerized classification testing. Practical Assessment, Research, and Evaluation, 12(1).
 

Module 10, Fall 1991: IRT Equating Methods. Linda L. Cook & Daniel R. Eignor

Module 8, Spring 1991: Understanding Reliability. Ross E. Traub & Glenn L. Rowley

Module 9, Summer 1991: Standard Error of Measurement. Leo M. Harvill