EPRS9360

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EPRS9360

Advanced Item Response Theory

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

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

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