The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Item bias and item response theory
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“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
Citations
Cites
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
Applications of Item Response Theory To Practical Testing Problems
Lord, F. M. (2012) · Routledge eBooks · doi:10.4324/9780203056615 · Cited by 5,009
Item Response Theory: Principles and Applications
Hambleton, R. K., & Swaminathan, H. (1984) · Medical Entomology and Zoology · Cited by 1,779
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
Item response theory : application to psychological measurement
Hulin, C. L., Drasgow, F., & Parsons, C. K. (1983) · Dow Jones-Irwin eBooks · Cited by 361
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
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
Contingency Table Models for Assessing Item Bias
Mellenbergh, G. J. (1982) · Journal of Educational Statistics · doi:10.3102/10769986007002105 · Cited by 231
Self-citationHuman Assessment and Cultural Factors
(1983) · Springer eBooks · doi:10.1007/978-1-4899-2151-2 · Cited by 210
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
Research works printed but not linked: 2
- Mellenbergh, 1985, Vraag-onzuiverheid: definitie, detectie en onderzoek, Nederlands Tijdschrift voor de Psychologie, 40, 425
- Van der Flier, 1984, Een onderzoek naar de effectiviteit van de iteratieve item bias detectie methode bij groepen met een verschillend treknivo, Tijdschrift voor Onderwijsresearch, 9, 61
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“Invariance (or equivalence) indicates whether a construct is interpreted and understood similarly across different groups, which is essential for cross-group comparisons (Mellenbergh, 1989; Milfont & Fischer, 2010; Putnick & Bornstein, 2016; Van De Schoot et al., 2012).”
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“…where individuals from different subgroups with the same true value of the measured construct have the same probability for each possible response (Mellenbergh, 1989; Millsap & Everson, 1993; Verhagen, 2012; Verhagen et al., 2016) the mathematical function which relates the construct of interest…”
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“Measurement invariance relates to an observed score being reflective of an individual’s standing on a construct, independent of his or her group membership (Mellenbergh, 1989; Meredith, 1993; Meredith & Millsap, 1992; Wu et al., 2007).”
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“MI analysis is conducted by Multigroup Con fi rmatory Factor Analysis (MGCFA; Mellenbergh 1989; Meredith 1993).”
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“Mellenbergh, G. J. (1989). Item bias and item response theory.”
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“Approaches for investigating how features S influence Y ∗ are investigating item bias [21], Differential Item Functioning (DIF) [12] and measurement invariance [26].”
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“In case of DIF, there is a violation of the assumption of between-group measurement invariance (Mellenbergh, 1989; Millsap and Everson, 1993; Millsap, 2011).”
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“This phenomenon is known as differential item functioning (DIF; [15,16]), although alternative terms such as measurement bias or item bias are also used [17].”
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“This has been explained by numerous methodologists now including Drasgow (1982, 1984), Mellenbergh (1989), Meredith (1993), Millsap (2012), and Vandenberg and Lance (2000).”
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“, relevant background variables such as gender or academic discipline) (Mellenbergh, 1989; Meredith, 1993).”
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“Measurement invariance is defined as the situation in which persons from each group with the same true value of the measured construct have the same probability for each possible response to all items (e.g. Mellenbergh, 1989; Millsap & Everson, 1993).”
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“, through a blood test or other clearly objective means), many of the challenges associated with non-invariance could be dealt with (Mellenbergh, 1989; Meredith & Teresi, 2006).”
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“Then we say that measurement invariance holds for X i with respect to qn and V if and only if for all i and n (Lord, 1980; Mellenbergh, 1989; Meredith & Millsap, 1992).”
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“An operational definition of invariance is that “the probability of an observed score, given the attribute level and the group membership, is equal to the probability of that given only the attribute level” (Mellenbergh, 1989; Meredith, 1993; as cited in Croudace & Brown, 2012).”
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Metadata
- 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)
- 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
- 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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