Item response theory (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Item response theory" in English language version.

refsWebsite

Global rank English rank

13doi.org

2^nd place

4semanticscholar.org

11^th place

8^th place

3web.archive.org

1^st place

3books.google.com

3^rd place

3rasch.org

low place

1ncme.org

low place

1ets.org

low place

1academia.edu

121^st place

142^nd place

1ubc.ca

1,997^th place

1,295^th place

1nih.gov

4^th place

1archive.org

6^th place

1assess.com

low place

1ed.gov

576^th place

352^nd place

1r-project.org

7,871^st place

5,225^th place

academia.edu

Hambleton, R. K.; Swaminathan, H.; Rogers, H. J. (1991). Fundamentals of Item Response Theory. Newbury Park, CA: Sage Press.

archive.org

Rasch, G. (1980) [1960, Copenhagen, Danish Institute for Educational Research]. Probabilistic models for some intelligence and attainment tests (expanded edition with foreword and afterword by B.D. Wright ed.). Chicago: The University of Chicago Press.

assess.com

Thompson, N.A. (2009). "Ability estimation with IRT" (PDF).

books.google.com

Embretson & Reise 2000. Embretson, Susan E.; Reise, Steven P. (2000). Item Response Theory for Psychologists. Psychology Press. ISBN 978-0-8058-2819-1.
Ostini, Remo; Nering, Michael L. (2005). Polytomous Item Response Theory Models. Quantitative Applications in the Social Sciences. Vol. 144. SAGE. ISBN 978-0-7619-3068-6.
Nering, Michael L.; Ostini, Remo, eds. (2010). Handbook of polytomous item response theory models. Taylor & Francis. ISBN 978-0-8058-5992-8.

doi.org

van Alphen, A.; Halfens, R.; Hasman, A.; Imbos, T. (1994). "Likert or Rasch? Nothing is more applicable than good theory". Journal of Advanced Nursing. 20: 196–201. doi:10.1046/j.1365-2648.1994.20010196.x.
Bock, R.D.; Aitkin, M. (1981). "Marginal maximum likelihood estimation of item parameters: application of an EM algorithm". Psychometrika. 46 (4): 443–459. doi:10.1007/BF02293801. S2CID 122123206.
Thissen, D.; Orlando, M. (2001). "Item response theory for items scored in two categories". In Thissen, D.; Wainer, H. (eds.). Test Scoring. Mahwah, NJ: Lawrence Erlbaum Associates, Inc. pp. 73–140. doi:10.4324/9781410604729.
Camilli, Gregory (1994). "Origin of the Scaling Constant d = 1.7 in Item Response Theory". Journal of Educational and Behavioral Statistics. 19 (3): 293–295. doi:10.3102/10769986019003293. S2CID 122401679.
Uebersax, J.S. (December 1999). "Probit latent class analysis with dichotomous or ordered category measures: conditional independence/dependence models". Applied Psychological Measurement. 23 (4): 283–297. doi:10.1177/01466219922031400. S2CID 120497324.
Andrich, D. (January 2004). "Controversy and the Rasch model: a characteristic of incompatible paradigms?". Medical Care. 42 (1): I–7. doi:10.1097/01.mlr.0000103528.48582.7c. PMID 14707751. S2CID 23087904.
Zwick, R.; Thayer, D.T.; Wingersky, M. (December 1995). "Effect of Rasch calibration on ability and DIF estimation in computer-adaptive tests". Journal of Educational Measurement. 32 (4): 341–363. doi:10.1111/j.1745-3984.1995.tb00471.x.
Fischer, G.H.; Molenaar, I.W. (1995). Rasch Models: Foundations, Recent Developments, and Applications. New York: Springer. doi:10.1007/978-1-4612-4230-7.
Kolen, Michael J.; Zeng, Lingjia; Hanson, Bradley A. (June 1996). "Conditional Standard Errors of Measurement for Scale Scores Using IRT". Journal of Educational Measurement. 33 (2): 129–140. doi:10.1111/j.1745-3984.1996.tb00485.x.
Lord 1980. Lord, F.M. (1980). Applications of item response theory to practical testing problems. Mahwah, NJ: Lawrence Erlbaum Associates, Inc. doi:10.4324/9780203056615.
Chalmers, R. Philip (2012). "mirt : A Multidimensional Item Response Theory Package for the R Environment". Journal of Statistical Software. 48 (6). doi:10.18637/jss.v048.i06.
Bürkner, Paul-Christian (2021). "Bayesian Item Response Modeling in R with brms and Stan". Journal of Statistical Software. 100 (5). doi:10.18637/jss.v100.i05.
Lalor, John Patrick; Rodriguez, Pedro (January 2023). "py-irt : A Scalable Item Response Theory Library for Python". INFORMS Journal on Computing. 35 (1): 5–13. doi:10.1287/ijoc.2022.1250.

ed.gov

eric.ed.gov

Hall, L.A.; McDonald, J.L. (24–28 April 2000). Measuring Change in Teachers' Perceptions of the Impact that Staff Development Has on Teaching. Annual Meeting of the American Educational Research Association. New Orleans, LA.{{cite conference}}: CS1 maint: date and year (link)

ets.org

"ETS Research Overview". Archived from the original on 2 January 2007.

ncme.org

"Glossary of Important Assessment and Measurement Terms". National Council on Measurement in Education. Archived from the original on 2017-07-22.

nih.gov

pubmed.ncbi.nlm.nih.gov

Andrich, D. (January 2004). "Controversy and the Rasch model: a characteristic of incompatible paradigms?". Medical Care. 42 (1): I–7. doi:10.1097/01.mlr.0000103528.48582.7c. PMID 14707751. S2CID 23087904.

r-project.org

cran.r-project.org

Mair, Patrick; Rosseel, Yves; Gruber, Kathrin (15 December 2023). "CRAN Task View: Psychometric Models and Methods". cran.r-project.org. Retrieved 3 October 2024.

rasch.org

Smith, R.M. (1990). "Theory and practice of fit". Rasch Measurement Transactions. 3 (4): 78.
Wright, B.D. (1992). "IRT in the 1990s: Which Models Work Best?". Rasch Measurement Transactions. 6 (1): 196–200.
Andrich, D. (1982). "An index of person separation in latent trait theory, the traditional KR.20 index, and the Guttman scale response pattern". Education Research and Perspectives. 9: 95–104.

semanticscholar.org

api.semanticscholar.org

Bock, R.D.; Aitkin, M. (1981). "Marginal maximum likelihood estimation of item parameters: application of an EM algorithm". Psychometrika. 46 (4): 443–459. doi:10.1007/BF02293801. S2CID 122123206.
Camilli, Gregory (1994). "Origin of the Scaling Constant d = 1.7 in Item Response Theory". Journal of Educational and Behavioral Statistics. 19 (3): 293–295. doi:10.3102/10769986019003293. S2CID 122401679.
Uebersax, J.S. (December 1999). "Probit latent class analysis with dichotomous or ordered category measures: conditional independence/dependence models". Applied Psychological Measurement. 23 (4): 283–297. doi:10.1177/01466219922031400. S2CID 120497324.
Andrich, D. (January 2004). "Controversy and the Rasch model: a characteristic of incompatible paradigms?". Medical Care. 42 (1): I–7. doi:10.1097/01.mlr.0000103528.48582.7c. PMID 14707751. S2CID 23087904.

ubc.ca

personal.math.ubc.ca

Abramowitz, M.; Stegun, I.A. (1972). Handbook of Mathematical Functions (PDF). Washington DC: U. S. Government Printing Office. Archived (PDF) from the original on 21 September 2021.

web.archive.org

"Glossary of Important Assessment and Measurement Terms". National Council on Measurement in Education. Archived from the original on 2017-07-22.
"ETS Research Overview". Archived from the original on 2 January 2007.
Abramowitz, M.; Stegun, I.A. (1972). Handbook of Mathematical Functions (PDF). Washington DC: U. S. Government Printing Office. Archived (PDF) from the original on 21 September 2021.