Item bias and item response theory

Mellenbergh, Gideon J.

doi:10.1016/0883-0355(89)90002-5

Cited by 553Psychometric Methodologies and TestingEducational Assessment and PedagogyEducational Technology and Assessment

Item bias and item response theory

Mellenbergh, Gideon J.·1989·International Journal of Educational Research

DOI 10.1016/0883-0355(89)90002-5

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The finding that SFI is tenable suggests that the tests are unbiased with respect to group.
“As mentioned, this finding suggests that the tests are unbiased with respect to group (Millsap, 1997a(Millsap, , 1997b;;Mellenbergh, 1989;Meredith, 1993).”
From Investigating Spearman's Hypothesis by Means of Multi-Group Confirmatory Factor Analysis (2000) · cites this paper as Mellenbergh, 1989

Probabilistic Models for Some Intelligence and Attainment Tests
Psychology, M. (1961) · Information and Control · doi:10.1016/s0019-9958(61)80061-2 · Cited by 6,936 · see citing works
Applications of Item Response Theory To Practical Testing Problems
Lord, F. M. (2012) · Routledge eBooks · doi:10.4324/9780203056615 · Cited by 5,009 · see citing works
Item Response Theory: Principles and Applications
Hambleton, R. K., & Swaminathan, H. (1984) · Medical Entomology and Zoology · Cited by 1,779 · see citing works
BILOG 3 : item analysis and test scoring with binary logistic models
Mislevy, R. J., & Bock, R. D. (1990) · Medical Entomology and Zoology · Cited by 541 · see citing works
Item response theory : application to psychological measurement
Hulin, C. L., Drasgow, F., & Parsons, C. K. (1983) · Dow Jones-Irwin eBooks · Cited by 361 · see citing works
Discrete Statistical Models With Social Science Applications.
Clogg, C. C., & Andersen, E. B. (1983) · Journal of the American Statistical Association · doi:10.2307/2288158 · Cited by 324 · see citing works
Beyond group-mean differences: The concept of item bias.
Thissen, D., Steinberg, L., & Gerrard, M. (1986) · Psychological Bulletin · doi:10.1037/0033-2909.99.1.118 · Cited by 291 · see citing works
Contingency Table Models for Assessing Item Bias
Mellenbergh, G. J. (1982) · Journal of Educational Statistics · doi:10.3102/10769986007002105 · Cited by 231 · see citing works
Self-citation
Human Assessment and Cultural Factors
(1983) · Springer eBooks · doi:10.1007/978-1-4899-2151-2 · Cited by 206 · see citing works
Applications of Item Response Theory
de Gruijter, D. N. M., & van der Kamp, L. J. T. (2007) · Chapman & Hall/CRC eBooks · doi:10.1201/9781584889595-13 · Cited by 204 · see citing works
ITEM‐RACE INTERACTION ON A TEST OF SCHOLASTIC APTITUDE1
Angoff, W. H., & Ford, S. F. (1973) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1973.tb00787.x · Cited by 200 · see citing works
Trends in Mathematical Psychology
(1984) · Advances in psychology · doi:10.1016/s0166-4115(08)x6083-2 · Cited by 182 · see citing works
Some Standard Errors in Item Response Theory
Thissen, D., & Wainer, H. (1982) · Psychometrika · doi:10.1007/bf02293705 · Cited by 161 · see citing works
Discrete statistical models with social science applications
Praagman, J. (1980) · European Journal of Operational Research · doi:10.1016/0377-2217(80)90219-2 · Cited by 159 · see citing works
Item Bias in a Test of Reading Comprehension
Linn, R. L., Levine, M. V., Hastings, C. N., & Wardrop, J. L. (1981) · Applied Psychological Measurement · doi:10.1177/014662168100500202 · Cited by 143 · see citing works
Test Item Bias
Osterlind, S. J. (1983) · Sage eBooks · doi:10.4135/9781412986090 · Cited by 141 · see citing works
Accounting for Statistical Artifacts in Item Bias Research
Shepard, L. A., Camilli, G., & Williams, D. M. (1984) · Journal of Educational Statistics · doi:10.2307/1164716 · Cited by 129 · see citing works
INTERACTIONS BETWEEN ITEM CONTENT AND GROUP MEMBERSHIP ON ACHIEVEMENT TEST ITEMS
Linn, R. L., & Harnisch, D. L. (1981) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1981.tb00846.x · Cited by 121 · see citing works
Applications of item response theory to analysis of attitude scale translations.
Hulin, C. L., Drasgow, F., & Komocar, J. (1982) · Journal of Applied Psychology · doi:10.1037//0021-9010.67.6.818 · Cited by 118 · see citing works
VALIDITY OF APPROXIMATION TECHNIQUES FOR DETECTING ITEM BIAS
Shepard, L. A., Camilli, G., & WILLIAMS, D. M. (1985) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1985.tb01050.x · Cited by 102 · see citing works
A COMPARISON OF SEVERAL METHODS OF ASSESSING ITEM BIAS
Ironson, G. H., & Subkoviak, M. J. (1979) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1979.tb00103.x · Cited by 93 · see citing works
A MONTE CARLO COMPARISON OF SEVEN BIASED ITEM DETECTION TECHNIQUES
Rudner, L. M., Getson, P. R., & KNIGHT, D. L. (1980) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1980.tb00810.x · Cited by 90 · see citing works
Biased Item Detection Techniques
Rudner, L. M., Getson, P. R., & Knight, D. L. (1980) · Journal of Educational Statistics · doi:10.2307/1164965 · Cited by 87 · see citing works
AN ITERATIVE ITEM BIAS DETECTION METHOD
der Flier, H. V., Mellenbergh, G. J., Adèr, H. J., & WIJN, M. (1984) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1984.tb00225.x · Cited by 67 · see citing works
Self-citation
Comparison of Procedures for Detecting Test-Item Bias with Both Internal and External Ability Criteria
Shepard, L. A., Camilli, G., & Averill, M. (1981) · Journal of Educational Statistics · doi:10.2307/1164616 · Cited by 65 · see citing works
DETECTING EXPERIMENTALLY INDUCED ITEM BIAS USING THE ITERATIVE LOGIT METHOD
KOK, F. G., Mellenbergh, G. J., & der Flier, H. V. (1985) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1985.tb01066.x · Cited by 58 · see citing works
Self-citation
An Experimental, Exploratory Study of Causes of Bias in Test Items
Seheuneman, J. D. (1987) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1987.tb00267.x · Cited by 55 · see citing works
Psychometrics for educational debates
van der Kamp, L. J. T., Langerak, W. F., & de Gruijter, D. N. (1980) · Wiley eBooks · Cited by 54 · see citing works
A New Derivation of the Rasch Model
Roskam, E. E., & Jansen, P. G. W. (1984) · Advances in psychology · doi:10.1016/s0166-4115(08)62094-4 · Cited by 37 · see citing works
EMPIRICAL COMPARISON OF SELECTED ITEM BIAS DETECTION PROCEDURES WITH BIAS MANIPULATION
Subkoviak, M. J., MACK, J. S., Ironson, G. H., & CRAIG, R. D. (1984) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1984.tb00220.x · Cited by 35 · see citing works
The Rasch Model for Dichotomous Items: Theory, Applications and a Computer Program. No. 63.
Gustafsson, J. (1977) · Cited by 24 · see citing works
A Quick Method for Determining Test Bias
Echternacht, G. J. (1974) · Educational and Psychological Measurement · doi:10.1177/001316447403400207 · Cited by 23 · see citing works
A Simulation Study of Item Bias Using a Two-Parameter Item Response Model
McCauley, C. D., & Mendoza, J. L. (1985) · Applied Psychological Measurement · doi:10.1177/014662168500900408 · Cited by 17 · see citing works
Conditional Item Bias Methods
Mellenbergh, G. J. (1983) · Springer eBooks · doi:10.1007/978-1-4899-2151-2_20 · Cited by 16 · see citing works
Self-citation
Extent of Overlap among Four Item Bias Methods
Devine, P. J., & Raju, N. S. (1982) · Educational and Psychological Measurement · doi:10.1177/001316448204200412 · Cited by 12 · see citing works
The Validity of Item Bias Techniques with Math Word Problems
Ironson, G. H., Homan, S. P., Willis, R., & Signer, B. R. (1984) · Applied Psychological Measurement · doi:10.1177/014662168400800403 · Cited by 11 · see citing works
Evaluation of Computer Simulated Baseline Statistics for Use in Item Bias Studies
Rogers, H. J., & Hambleton, R. K. (1989) · Educational and Psychological Measurement · doi:10.1177/0013164489492008 · Cited by 11 · see citing works
Evaluation of the Plot Method for Identifying Potentially Biased Test Items
Hambleton, R. K., & Rogers, H. J. (1991) · Springer eBooks · doi:10.1007/978-94-011-3322-7_14 · Cited by 6 · see citing works
Finding the Biasing Trait(S)
Mellenbergh, G. J., & KOK, F. G. (1991) · Springer eBooks · doi:10.1007/978-94-011-3322-7_13 · Cited by 5 · see citing works
Self-citation
Item bias detection using the loglinear Rasch model: Observed and unobserved subgroups
Kelderman, H. (1986) · University of Twente Research Information · Cited by 3 · see citing works

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Dolan, C., Colom, R., Abad, F. J., Wicherts, J., Hessen, D., & van de Sluis, S. (2006) · Intelligence · doi:10.1016/j.intell.2005.09.003 · Cited by 78 · see citing works
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Measurement invariance versus selection invariance: Is fair selection possible?
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Millsap, R. E., & Meredith, W. H. (1992) · Applied Psychological Measurement · doi:10.1177/014662169201600411 · Cited by 61 · see citing works
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Lubke, G. H., Dolan, C. V., Kelderman, H., & Mellenbergh, G. J. (2003) · British Journal of Mathematical and Statistical Psychology · doi:10.1348/000711003770480020 · Cited by 62 · see citing works
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Effects of Ability Scale Purification on the Identification of dif
NAVAS-ARA, M. J., & Gómez‐Benito, J. (2002) · European Journal of Psychological Assessment · doi:10.1027//1015-5759.18.1.9 · Cited by 60 · see citing works
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Borsboom, D., & Mellenbergh, G. J. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511611186.004 · Cited by 58 · see citing works
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Ellis, J. L., & Junker, B. W. (1997) · Psychometrika · doi:10.1007/bf02294640 · Cited by 60 · see citing works
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Lubke, G. H., & Luningham, J. M. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.04.003 · Cited by 54 · see citing works
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General mixture item response models with different item response structures: Exposition with an application to Likert scales
Tijmstra, J., Bolsinova, M. A., & Jeon, M. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-0997-0 · Cited by 51 · see citing works
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Liang, X., & Jacobucci, R. (2019) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2019.1693273 · Cited by 52 · see citing works

Authors: Mellenbergh, G. J.
Affiliations: University of Amsterdam (NL)
Corresponding author: Mellenbergh, Gideon J.
Venue: International Journal of Educational Research
Publisher: Elsevier BV
Published: 1989-01
Volume: 13
Issue: 2
Pages: 127-143
ISSN: 0883-0355 (ISSN-L)
DOI: 10.1016/0883-0355(89)90002-5
OpenAlex: W2032579538
Cited by: 553
References: 40
Citations by year: 2026: 21 · 2025: 28 · 2024: 38 · 2023: 27 · 2022: 32 · 2021: 35 · 2020: 26 · 2019: 28 · 2018: 34 · 2017: 27 · 2016: 32 · 2015: 23 · 2014: 21 · 2013: 19 · 2012: 14
FWCI: 3.06
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: International Journal of Educational Research (publishedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Education › Educational Assessment and Pedagogy
Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
Keywords: differential item functioning, item response theory, conditional dependence, item characteristic curves, latent trait distribution, test score distribution

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