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
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Cited by
Sorted by citations
Items 301–400 of 553
The Consequences of Ignoring Item Parameter Drift in Longitudinal Item Response Models
Lee, W., & Cho, S. (2017) · Applied Measurement in Education · doi:10.1080/08957347.2017.1283317 · Cited by 8
“…is necessary to ensure that the same construct is measured across groups or time points, which is often referred to as measurement invariance (Drasgow, 1984; Holland & Wainer, 1993; Mellenbergh, 1989; Meredith, 1993; Meredith & Millsap, 1992; Millsap & Everson, 1993; Reise, Widaman, & Pugh, 1993).”
BackgroundNielsen, T., Friderichsen, I. S., & Hartkopf, B. T. (2019) · Frontline Learning Research · doi:10.14786/flr.v7i3.503 · Cited by 10
“The formal definition of measurement invariance (MI), according to Mellenbergh (1989) and Meredith (1993), states that MI holds when the probability of observed scale scores depends only on the estimated latent variable for the measure and not any other characteristic of the persons being measured…”
Multilevel Factorial Invariance in n-Level Structural Equation Modeling (nSEM)
Ryu, E., & Mehta, P. D. (2017) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2017.1324311 · Cited by 8
“Therefore comparison of the scores or the statistics associated with the observed and latent scores is valid only when an appropriate level of measurement invariance is established between groups (Mellenbergh, 1989; Meredith & Millsap, 1992; Millsap, 1997).”
BackgroundLa invarianza en la estructura factorial del raven en grupos de delincuentes y no delincuentes
Librán, E. C. (1997) · Psicothema · Cited by 8
Müller, F., Verdam, M. G. E., Oort, F. J., Riper, H. M., van Straten, A., Leeuw, I. M. V., Sprangers, M. A. G., & Knoop, H. (2022) · International Journal of Behavioral Medicine · doi:10.1007/s12529-022-10111-8 · Cited by 7
“To further substantiate the interpretation of findings as indications of response shift, the associations between detected response shift effects and potential mechanism variables, according to response shift theory [36, 62], were also investigated.”
MethodResultL0 and Lp Loss Functions in Model-Robust Estimation of Structural Equation Models
Robitzsch, A. (2023) · Psych · doi:10.3390/psych5040075 · Cited by 7
Raykov, T. (2024) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2023.2254497 · Cited by 7
“That is, a set of observed variables is measurement invariant with respect to G populations if for any underlying latent trait value(s) g , its conditional distribution given that value(s), P( y j g ), is the same in all groups (cf. Mellenbergh, 1989).”
BackgroundMethodUsing Product Indicators in Restricted Factor Analysis Models to Detect Nonuniform Measurement Bias
Kolbe, L., & Jorgensen, T. D. (2018) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-319-77249-3_20 · Cited by 7
Jamalzadeh, M., Lotfi, A. R., & Rostami, M. (2021) · Language Testing in Asia · doi:10.1186/s40468-021-00124-7 · Cited by 7
“Mellenbergh (1989), defining item bias as conditional dependence, suggests that statistical tests and indices based on item response theory may be used for detecting biased items when item characteristic curves of the two groups being tested do not coincide.”
BackgroundMeasurement Issues in Tests of the Socioecological Complexity Hypothesis
Lasker, J., Haltigan, J. D., & Richardson, G. B. (2021) · Evolutionary Psychological Science · doi:10.1007/s40806-021-00301-0 · Cited by 7
Sprachliche Bildung in der digitalisierten Gesellschaft. Was wir in Zukunft wissen und können müssen
:null (2022) · Waxmann Verlag GmbH eBooks · doi:10.31244/9783830995555 · Cited by 7
The Gender Invariance of Multidimensional Depression Assessment Scale in Adolescents
Habibi, M., Yegaei, P. S., Ho, W. S., & Cheung, H. N. (2023) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-023-10040-0 · Cited by 7
“…misleading (Whisman et al., 2013) because it is ambiguous if the observed differences stem from the real gender differences in the unobserved (latent) construct, or they are due to structural differences (unequal conceptual perception of the tool’s items in males and females) (Mellenbergh, 1989).”
BackgroundInfluentialSmooth Information Criterion for Regularized Estimation of Item Response Models
Robitzsch, A. (2024) · Algorithms · doi:10.3390/a17040153 · Cited by 7
Carle, A. C. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-60 · Cited by 7
“[ 15 ] Although studies have established the validity and reliability of standardized alcohol abuse measures and diagnostic criteria in the general population, and provided support for single factor models, [16-26] the role of minority/majority based measurement bias in the instruments used to assess alcohol abuse in…”
BackgroundCummins, R. A. (2018) · Cited by 7
An Academic Genealogy of Psychometric Society Presidents
Wijsen, L. D., Borsboom, D., Cabaço, T., & Heiser, W. J. (2019) · Psychometrika · doi:10.1007/s11336-018-09651-4 · Cited by 8
“…which corrected observations for systematic effects induced by different observers and in doing so gave one of the first formal approaches to the notion of measurement bias, which has also become a fundamentally important concept in test theory (Lord, 1980;Mellenbergh, 1989;Meredith, 1993).”
BackgroundYang, Y., & Mîndrilă, D. (2020) · International Journal of Educational Psychology · doi:10.17583/ijep.2020.4261 · Cited by 10
“…invariance is critical to the validation of an instrument as it requires that the association of items and the constructs/latent factors independent from group membership or measurement occasion (Mellenbergh, 1989; Van De Schoot, Schmidt, De Beuckelaer, Lek, & Zondervan-Zwijnenburg, 2015).”
BackgroundTesting for Differential Item Functioning With Measures of Partial Association
Woods, C. M. (2009) · Applied Psychological Measurement · doi:10.1177/0146621608329506 · Cited by 7
“This is nonuniform DIF (Camilli & Shepard, 1994; Mellenbergh, 1989).”
BackgroundTheoretical Equivalence, Measurement Invariance, and the Idiographic Filter
Borsboom, D., & Dolan, C. V. (2007) · UvA-DARE (University of Amsterdam) · Cited by 7
Moody, J. (2019) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 7
Martinelli, A., Moncalieri, G., Zamparini, M., Alessandri, G., Caprara, G. V., Castelnuovo, G., Rocchetti, M., Starace, F., Zarbo, C., & de Girolamo, G. (2023) · International Journal of Social Psychiatry · doi:10.1177/00207640231212868 · Cited by 6
“…a psychological scale produces equivalent scores when administered to two groups of individuals who have the same latent trait level (e.g., positivity) but may differ in a characteristic unrelated to the latent trait, such as the presence or absence of a clinical diagnosis (Mellenbergh, 1989).”
BackgroundWhy Do Bi-Factor Models Outperform Higher-Order g Factor Models? A Network Perspective
Kan, K., Psychogyiopoulos, A., Groot, L. J., de Jonge, H., & ten Hove, D. (2024) · Journal of Intelligence · doi:10.3390/jintelligence12020018 · Cited by 6
“That measurement invariance does not hold implies that, whatever the intelligence test measures (Van der Maas et al. 2014), “intelligence” will have a different meaning for different individuals or groups of individuals (Mellenbergh 1989).”
BackgroundInvarianza por Sexo en la Escala de Detección del Trastorno de Ansiedad Generalizada (EDTAG)
Betanzos, F. G., Heredia, M. E. R., & Blázquez, F. P. (2015) · Actualidades en Psicología · doi:10.15517/ap.v29i119.18774 · Cited by 6
An Overview of Studies Conducted on Washback, Impact and Validity
Rahimi, F., Esfandiari, M. R., & Amini, M. (2016) · Studies in literature and language · doi:10.3968/8877 · Cited by 6
“Identification of the same latent trait for all subgroups, such as gender and ethnicity, was identified by researchers as validity evidence in the form of measurement invariance (Mellenbergh, 1989).”
BackgroundBasarkod, G., Marsh, H. W., Sahdra, B. K., Parker, P. D., Guo, J., Dicke, T., & Lüdtke, O. (2022) · Assessment · doi:10.1177/10731911211069675 · Cited by 6
“…variable in question (i.e., self-concept), but also on another characteristic of the individual (i.e., reading achievement), we conclude that the dimensions of reading self-concept as measured by PISA, were not generalizable across levels of reading achievement (Bauer, 2017; Mellenbergh, 1989).”
MethodClassification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance
Lai, M. H. C., & Zhang, Y. (2022) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2021.1977936 · Cited by 6
“Formally, measurement invariance holds when the conditional distribution of the observed item scores is the same across subpopulations that are not part of the construct domain (Mellenbergh, 1989).”
BackgroundKwok, G. (2022) · Journal of Ethnic & Cultural Diversity in Social Work · doi:10.1080/15313204.2022.2046225 · Cited by 6
“MI requires the association between the items/test scores (i.e., the raw scores from the instrument) and the latent factors to be independent of group membership (e.g., ethnicity) or measurement occasion (time; Mellenbergh, 1989).”
BackgroundCheung, H. N., Williams, J. M., Chan, Y. S., & Chan, S. W. Y. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.04.035 · Cited by 6
Olivera‐Aguilar, M., & Rikoon, S. H. (2024) · Journal of Research on Educational Effectiveness · doi:10.1080/19345747.2023.2284768 · Cited by 7
“An important prerequisite for such comparisons is that the same construct is being measured across groups or over time, that is, there is the assumption of measurement invariance across-groups (Mellenbergh, 1989) or over time (Millsap & Cham, 2013).”
Jaya, E. S., Novrianto, R., Dewantary, N. I., Ticoalu, C. L., & Riehle, M. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.06.046 · Cited by 6
King‐Kallimanis, B. L., Oort, F. J., Lynn, N. B., & Schonfeld, L. I. (2011) · Ageing International · doi:10.1007/s12126-011-9125-0 · Cited by 6
“If this assumption is violated and measurement bias present, compar-Table isons may be invalid regardless of whether the scale has a high Chronbach ’ s alpha or reliability (Mellenbergh 1989; Meredith 1993).”
A Note on the Structural Change Test in Highly Parameterized Psychometric Models
Huth, K. B. S., Waldorp, L., Luigjes, J., Goudriaan, A. E., van Holst, R. J., & Marsman, M. (2022) · Psychometrika · doi:10.1007/s11336-021-09834-6 · Cited by 6
“The assumption of parameter invariance across subgroups—assessed as measurement invariance, differential item functioning, heterogeneity, or parameter stability in other contexts— underlies virtually all statistical tests (Bechger and Maris 2015; Hjort and Koning 2002; Hansen 1997; Mellenbergh 1989).”
BackgroundUiterwijk, H., & Vallen, T. (2003) · Studies In Educational Evaluation · doi:10.1016/s0191-491x(03)00019-1 · Cited by 6
Alqarni, H. A., Almurtadha, Y., & Elfaki, A. O. (2018) · Journal of Computer Science · doi:10.3844/jcssp.2018.360.367 · Cited by 6
“Psychometrics has been recognized as the approved term for the science behind psychological testing (Mellenbergh, 1989).”
BackgroundFuentes potenciales de sesgo en una prueba de aptitud numérica
Elosua, P., Jáuregui, A. L., & Makazaga, J. E. (2000) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 6
Psychometric evaluation of entry assessment in higher education: A case study
Berberoğlu, G., Dochy, F. J. R. C., & Moerkerke, G. (1996) · European Journal of Psychology of Education · doi:10.1007/bf03172934 · Cited by 6
Factorial Invariance Across Multiple Populations in Discrete and Continuous Data
Millsap, R. E., & Kim, H. (2018) · Wiley eBooks · doi:10.1002/9781118489772.ch26 · Cited by 6
Measurement Invariance in International Large‐scale Assessments
Desa, D., van de Vijver, F. J. R., Carstens, R., & Schulz, W. (2018) · doi:10.1002/9781118884997.ch40 · Cited by 6
Sebille, V., Dubuy, Y., Feuillet, F., Blanchin, M., Roquilly, A., & Cinotti, R. (2023) · Neurocritical Care · doi:10.1007/s12028-023-01705-5 · Cited by 5
“This phenomenon, acknowledged as differential item functioning (DIF) [12, 13], can markedly compromise the comparability patient-reported and proxy-reported measures and lead to biased comparisons [14].”
BackgroundOppong, J., Liu, X., Wang, Q., Xie, C., Lei, Y., Zhou, Y., Yan, P., Li, H., & Xing, C. (2023) · PEC Innovation · doi:10.1016/j.pecinn.2023.100183 · Cited by 5
“The two most popular methods for testing measurement invariance of cross-cultural data are methods for detecting differential item functioning (DIF) [22], developed in the context of item response theory (IRT) [23], and Multiple-group CFA [24].”
MethodBias and Linking Error in Fixed Item Parameter Calibration
Robitzsch, A. (2024) · AppliedMath · doi:10.3390/appliedmath4030063 · Cited by 5
Comparing Robust Haberman Linking and Invariance Alignment
Robitzsch, A. (2025) · Stats · doi:10.3390/stats8010003 · Cited by 5
Auneau-Enjalbert, L., Blanchin, M., Giral, M., Meurette, A., Morélon, E., Albano, L., Hardouin, J.-B., & Sebille, V. (2021) · Quality of Life Research · doi:10.1007/s11136-021-02916-z · Cited by 5
Reichert-Schlax, J., Zlatkin‐Troitschanskaia, O., Happ, R., Yamaoka, M., Asano, T., & Abe, S. (2022) · Research in Comparative and International Education · doi:10.1177/17454999211057621 · Cited by 5
“Measurement invariance analyses are used to test this assumption (for more details, see Mellenbergh, 1989; Meredith, 1993).”
MethodAre Piagetian scales just intelligence tests?
Lasker, J. (2022) · Intelligence · doi:10.1016/j.intell.2022.101702 · Cited by 5
Implementation Aspects in Invariance Alignment
Robitzsch, A. (2023) · Stats · doi:10.3390/stats6040073 · Cited by 5
The performance of ChatGPT and Bing on a computerized adaptive test of verbal intelligence
Klein, B., & Kovacs, K. (2024) · PLoS ONE · doi:10.1371/journal.pone.0307097 · Cited by 12
Funcionamento diferencial dos itens (DIF): estudo com analogias para medir o raciocínio verbal
Andriola, W. B. (2000) · Psicologia Reflexão e Crítica · doi:10.1590/s0102-79722000000300015 · Cited by 5
“Como afirmam Camili e Shepard (1994) e Mellenbergh (1989), os índices DIF algumas vezes produzem resultados estatisticamente significativos na ausência do viés e em outras vezes não detectam o viés quando este se encontra presente em muitos itens, dada a circularidade do critério interno que…”
BackgroundInfluentialSon, S., & Hong, S. (2021) · Educational and Psychological Measurement · doi:10.1177/0013164420987899 · Cited by 5
“…for the interpretation of a latent construct in the same manner between groups; thus, factorial invariance testing is a prerequisite to compare observed scores or latent factor means across groups (Mellenbergh, 1989; Meredith, 1993; Meredith & Millsap, 1992; Millsap, 1997; Reise et al., 1993).”
BackgroundMethodAchieving Fair Inference Using Error-Prone Outcomes.
Boeschoten, L., van Kesteren, E., Bagheri, A., & Oberski, D. L. (2021) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2021.02.007 · Cited by 10
“Approaches for investigating how features S influence Z are investigating item bias [28], Differential Item Functioning (DIF) [29] and measurement invariance [30].”
BackgroundComparability of teachers’ educational background items in TIMSS: a case from Turkey
Oz, E. (2021) · Large-scale Assessments in Education · doi:10.1186/s40536-021-00097-2 · Cited by 5
“One type of such biases is called “item bias” which refers to an item’s inability to measure the same attribute across different groups (Mellenbergh 1989).”
BackgroundAlgorithms for Measurement Invariance Testing
Cole, V. T., & Lacey, C. H. (2023) · Cambridge University Press eBooks · doi:10.1017/9781009303408 · Cited by 4
Determining Differential Item Functioning with the Mixture Item Response Theory
Yalçın, S. (2018) · Eurasian Journal of Educational Research · doi:10.14689/ejer.2018.74.10 · Cited by 5
Cross-Cultural Validity of Alcohol Dependence Across Hispanics and Non-Hispanic Caucasians
Carle, A. C. (2008) · Hispanic Journal of Behavioral Sciences · doi:10.1177/0739986307311618 · Cited by 5
“…or differential item functioning (DIF) is the possibility that individuals equal in their true levels of alcohol dependence, but from different groups (e.g., Caucasians and Hispanics), do not have identical probabilities of responding to questions concerning their alcohol use (Mellenbergh, 1989).”
BackgroundAn Empirical Assessment of the Sensitivity of Mixture Models to Changes in Measurement
Cole, V. T., Bauer, D. J., Hussong, A. M., & Giordano, M. L. (2017) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2016.1257354 · Cited by 5
“One of the strengths of FMM is that it allows for the assessment of measurement invariance (Mellenbergh, 1989; Meredith, 1993; Vandenberg & Lance, 2000) across latent classes in the population (Lubke & Muthén, 2005).”
BackgroundGómez, A. G., García, J. L. P., & Meléndez, C. P. (1998) · Cited by 5
Guerrero, J., Seibert, B. P., Newcomb, K. M., Michael, B. F., Garcia-Naranjo, F., & Rogiers, M. (1984) · American Journal of Veterinary Research · doi:10.2460/ajvr.1984.45.06.1086 · Cited by 5
Measurement Properties of Non-cognitive scales in the Polish Follow-up Study on PIAAC (POSTPIAAC)
Palczyńska, M., & Świst, K. (2016) · OECD education working papers · doi:10.1787/c533e448-en · Cited by 6
“Mellenbergh (1989) gives a formal definition of measurement invariance.”
BackgroundThe general causal cumulative model of ordinal responsePreprint
Paulewicz, B., & Blaut, A. (2022) · doi:10.31234/osf.io/e7a3x · Cited by 5
Cologne questionnaire on speechlessness: Development and validation
Dietz, T., Tavenrath, S., Schiewer, V., Öztürk-Arenz, H., Durakovic, V., Labouvie, H., Jäger, R. S., & Kusch, M. (2022) · Current Psychology · doi:10.1007/s12144-022-04102-x · Cited by 4
Krushas, A. E., Kulig, T. C., & Goslar, M. (2025) · Justice Quarterly · doi:10.1080/07418825.2025.2451311 · Cited by 4
“Measurement invariance exists when the association between scores or items and latent factors (e.g. childhood adversity) is not dictated by group membership (e.g. sex, race; Mellenbergh, 1989).”
Öğretmen, T. (2015) · Educational Research and Reviews · doi:10.5897/err2015.2284 · Cited by 4
“Thus, the study of DIF within an IRT framework is a matter of comparing the item characteristic curves (ICCs) for the two sub-groups (that is male vs. female) (Hambleton and Swaminathan, 1985; Mellenbergh, 1989).”
BackgroundMethodInfluentialLanguage competence assessment in minoritised language revitalisation contexts. The case of Basque
Elosua, P., & Peñalba, A. (2018) · Journal of Multilingual and Multicultural Development · doi:10.1080/01434632.2017.1417415 · Cited by 4
İşte Kendini Yetiştirme Ölçeğinin Meslek Grupları Arasında Ölçüm Değişmezliğinin Test Edilmesi
Koçak, Ö. E. (2020) · Ekonomi İşletme ve Maliye Araştırmaları Dergisi · doi:10.38009/ekimad.920473 · Cited by 7
“Bir başka deyişle, bireyin ölçek üzerinden aldığı gerçek puana sahip olma olasılığının üyesi olduğu herhangi bir gruptaki üyeliğinden bağımsız olma durumu anlamına gelmektedir (Mellenbergh, 1989; Horn ve McArdle, 1992).”
Person-level assessment of measurement invariance
Sočan, G., & Kocjan, G. Z. (2021) · Quality & Quantity · doi:10.1007/s11135-021-01262-z · Cited by 4
“…a historical summary see Millsap & Meredith 2007), the modern concept of testing the measurement invariance by means of factor analysis was shaped mostly by Mellenbergh (1989) and Meredith (1993), and the technical foundations for testing measurement invariance were laid down by Jöreskog (1971).”
MethodLau, C., Swindall, T., Chiesi, F., Quilty, L. C., Chen, H., Chan, Y., Ruch, W., Proyer, R. T., Bruno, F., Saklofske, D. H., et al. (2023) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe13020019 · Cited by 4
“Measurement invariance analyses provide evidence that differences in test scores reflect true latent variable differences than group differences based on measurement bias [21,22].”
BackgroundVisser, L., Cartschau, F., von Goldammer, A., Brandenburg, J., Timmerman, M. E., Hasselhorn, M., & Mähler, C. (2023) · Applied Measurement in Education · doi:10.1080/08957347.2023.2201701 · Cited by 4
“differ in terms of a characteristic other than the latent trait, in this case, first language (Mellenbergh, 1989).”
BackgroundDIF Testing With an Empirical-Histogram Approximation of the Latent Density for Each Group
Woods, C. M. (2011) · Applied Measurement in Education · doi:10.1080/08957347.2011.580658 · Cited by 4
“This test is omnibus because it does not distinguish between uniform and nonuniform DIF (see definitions in Mellenbergh, 1989 and Camilli & Shepard, 1994 , p.”
BackgroundReligiosity in black and white older Americans
Yang, C., Ford, M. E., Tilley, B. C., & Greene, R. L. (2016) · Medicine · doi:10.1097/md.0000000000004257 · Cited by 4
“An item (question) shows DIF when the probability of choosing a specific response differed significantly across the groups of interest conditional on the latent trait that the item is measuring.([40,41]) In an iterative fashion,([38]) DIF analysis was done by checking the modification indices (MI) for each of the 8 po…”
MethodDoes Cognitive Interference Induce Measurement Bias in Cognitive Ability Tests?
Παπαντωνίου, Γ., Μoraitou, D., Filippidou, D., Katsadima, E., & Dinou, M. (2017) · Journal of Behavioral and Brain Science · doi:10.4236/jbbs.2017.71003 · Cited by 5
Theories, Examples of Cultural Models, and Methods to Explore Those
Karandashev, V. N. (2020) · Springer eBooks · doi:10.1007/978-3-030-58438-2_3 · Cited by 4
Gómez‐Benito, J., & Ara, M. J. N. (1998) · Psicothema · Cited by 4
Modelos lineales logarítmicos y funcionamiento diferencial de los ítems
Aliste, Á. M. F., & Caballero, M. D. P. (1995) · Anuario de Psicología/The UB Journal of Psychology · Cited by 4
A Tutorial on Novel Item and Person Sampling Procedures for Personality ResearchPreprint
Olaru, G., & Schroeders, U. (2018) · doi:10.17605/osf.io/yx4km · Cited by 4
Lek, K. (2020) · doi:10.33540/96 · Cited by 5
Adaptive Learning Systems and Interference in Causal InferencePreprint
Savi, A. O., ten Broeke, N., & Hofman, A. D. (2021) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/4ax25 · Cited by 4
Question Wording and Item FormulationPreprint
Elson, M. (2016) · doi:10.31234/osf.io/e4ktc · Cited by 4
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Zhuang, Y., Liu, Q., Bi, H., Huang, Z., Huang, W., Li, J., Yu, J., Liu, Z., Hu, Z., Hong, Y., et al. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3672850 · Cited by 9
“Variousmethods havebeenproposedtodetectthistypeofbias[109],[110], [111].”
Lozano‐Casanova, M., Escribano, S., Oliver‐Roig, A., Richart‐Martínez, M., & Sospedra, I. (2024) · Appetite · doi:10.1016/j.appet.2024.107635 · Cited by 3
“Measurement invariance occurs when items, or a test, measure the same latent construct in the same way in different groups of people (Mellenbergh, 1989; Meredith, 1993).”
BackgroundPinciotti, C. M., Castillo, A. A., Feinstein, B. A., Wadsworth, L. P., Abramowitz, J. S., Riemann, B. C., Goodman, W. K., & Storch, E. A. (2024) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2024.100907 · Cited by 3
Özcan, M., & Lai, M. H. C. (2024) · Assessment · doi:10.1177/10731911241298081 · Cited by 3
“MI is achieved when latent construct(s) (e.g., cognitive functioning, depression) are measured equivalently and comparably across groups (e.g., ethnicity, SES), test modes (e.g., paper, computer), or time points (Drasgow, 1984; Mellenbergh, 1989; Somaraju et al., 2022).”
Robitzsch, A. (2025) · Foundations · doi:10.3390/foundations5010004 · Cited by 3
“However, item parameters may differ across groups, a phenomenon known as differential item functioning (DIF [15,16]) in the literature.”
Andriola, W. B. (2016) · Revista Iberoamericana de Evaluación Educativa · doi:10.15366/riee2008.1.1.012 · Cited by 3
Complex Latent Variable Modeling in Educational Assessment
Fox, J., Marsman, M., Mulder, J., & Verhagen, J. (2014) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2014.939518 · Cited by 3
“An item k is measurement invariant when a male or female with the same latent trait θ has the same probability of a certain response (Mellenbergh, 1989; Millsap and Everson, 1993), that is, bk1 = bk2.”
BackgroundKappelhof, J. (2016) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.12758/mda.2014.004 · Cited by 4
“DIF is a term that stems from education testing and happens when persons of equal capability or intelligence arrive at different capability or intelligence scores based on the specific wording of an item.”
BackgroundChen, Z., & Aryadoust, V. (2021) · Current Psychology · doi:10.1007/s12144-021-01579-w · Cited by 3
“From a statistical vantage point, this means that there must be equivalence between the mathematical functions that associate the factors (latent variables) with the observed variables or items (Mellenbergh, 1989).”
BackgroundConcepts and Models from Psychometrics
Mislevy, R. J., & Bolsinova, M. A. (2021) · Methodology of educational measurement and assessment · doi:10.1007/978-3-030-74394-9_6 · Cited by 3
Zhang, M., & Yang, L. (2022) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2021.2021533 · Cited by 3
“Mathematically, the assumption of MI for latent constructs requires the independence of conditional probability distributions of the observed scores (Mellenbergh, 1989).”
BackgroundShergill, G., Camozzi, H., O’Malley, M. D., & Ortiz, A. (2023) · Journal of Psychoeducational Assessment · doi:10.1177/07342829221149323 · Cited by 3
“A measure is considered invariant when the association of a test item and its latent factor do not depend on membership within a particular group, or a particular time of measurement (Mellenbergh, 1989).”
BackgroundChen, H., Wang, X., Bai, T., Cui, H., Shi, S., Li, Y., Xu, G.-Y., Li, H., & Shen, B. (2022) · BMC Nursing · doi:10.1186/s12912-023-01664-4 · Cited by 3
“The Item response theory (IRT) [17], also called item characteristic curve, is a method used to explore the relationship between participants’ responses to different measurable items and their underlying latent traits.”
MethodÖğrenci Özelliklerinin Cinsiyete Dayalı Değişen Madde Fonksiyonuna Etkisi
Uysal, N. K., & Kabasakal, K. A. (2017) · Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi · doi:10.21031/epod.333451 · Cited by 3
“DMF tek biçimli ve tek biçimli olmayan olmak üzere iki farklı şekilde görülebilir (Camilli ve Shepard, 1994; Mellenbergh, 1989).”
Statistical Power for a Simultaneous Test of Factorial and Predictive Invariance
Olivera‐Aguilar, M., & Millsap, R. E. (2013) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.755112 · Cited by 3
“We say that X shows measurement invariance in relation to W and V if and only if P.XjW; V / D P.XjW/; (1) for all X, W, and V (Lord, 1980; Mellenbergh, 1989; Meredith & Millsap, 1992).”
BackgroundMust, O., Must, A., & Mikk, J. (2016) · Intelligence · doi:10.1016/j.intell.2016.03.003 · Cited by 3
“The measurement is invariant if two people with the same level of a latent trait achieve the same test score (Mellenbergh 1989).”
BackgroundAltıntaş, Ö., & Kutlu, Ö. (2020) · TED EĞİTİM VE BİLİM · doi:10.15390/eb.2020.8685 · Cited by 3
“(Mellenbergh, 1989; Meredith, 1993; Millsap, 2011; Shealy & Stout, 1993; Vandenberg & Lance, 2000).”
Elosua, P., Jáuregui, A. L., & Álvarez, E. T. (2000) · Psicothema · Cited by 3
Improving Explanatory Inferences from Assessments.
Diakow, R. (2013) · eScholarship (California Digital Library) · Cited by 3
Liaw, Y. (2015) · ResearchWorks at the University of Washington (University of Washington) · Cited by 3
Educational surveys: conceptual overview
Khorramdel, L., von Davier, M., Kirsch, I. S., & Yamamoto, K. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-818630-5.10044-2 · Cited by 3
Ölçek Geliştirme Süreçlerine İlişkin Bir Derleme Çalışması
Coşkun, F., & Büşra, E. R. E. N. (2024) · Kuram ve Uygulamada Sosyal Bilimler Dergisi · doi:10.48066/kusob.1498085 · Cited by 2
Schubert, C., Seizer, L., Lauby, N. C. S., & Fuchs, D. (2025) · Comprehensive Psychoneuroendocrinology · doi:10.1016/j.cpnec.2025.100301 · Cited by 2
“Measurement bias refers to a situation where there is variability in the observed test scores that cannot be entirely attributed to true changes in the measured construct and that is not merely the result of random measurement errors [37].”
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review