Multiple Group IRT Modeling: Applications to Item Bias Analysis
Abstract
This article shows the applicability of new methodology for multiple-group factor analysis of dichotomous variables. Situations are considered where the same set of test items has been administered to more than one group of examinees. The new methodology is contrasted with the IRT approach to item bias analysis. An example is given in which females and males have taken a certain biology test.
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The finding that factorial invariance is tenable suggests that the tests are unbiased with respect to group.
“The finding that factorial invariance is tenable suggests that the tests are unbiased with respect to group”
From Investigating Spearman's Hypothesis by Means of Multi-Group Confirmatory Factor Analysis (2000) · cites this paper as Muthén & Lehman, 1985
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Sorted by citations
Tanaka, J. (1990) · doi:10.1177/014662169001400212 · Cited by 10,421
Measurement Invariance, Factor Analysis and Factorial Invariance
Meredith, W. (1993) · Psychometrika · doi:10.1007/bf02294825 · Cited by 4,536 · see citing works
Assessing Factorial Invariance in Ordered-Categorical Measures
Millsap, R. E., & Tein, J. Y. (2004) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3903_4 · Cited by 864 · see citing works
“For discussions of the relationship between the IRT and common-factor models, see Lord and Novick (1968), Takane and de Leeuw (1987), Muthén and Lehman (1985), or McDonald (1999).”
MethodApplication of a Method of Estimating DIF for Polytomous Test Items
Camilli, G., & Congdon, P. D. (1999) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986024004323 · Cited by 607 · see citing works
Methodology Review: Statistical Approaches for Assessing Measurement Bias
Millsap, R. E., & Everson, H. T. (1993) · Applied Psychological Measurement · doi:10.1177/014662169301700401 · Cited by 492 · see citing works
Leventhal, A. M., & Zvolensky, M. J. (2015) · Psychological Bulletin · doi:10.1037/bul0000003 · Cited by 524 · see citing works
“Scaling methods based on item response theory (IRT) that map particular items (and response categories within items) to different points upon a latent severity dimension might result in more accurate reflections of the latent traits of Anh, AS, and DT (Muthén & Lehman, 1985).”
Estimating Population Characteristics From Sparse Matrix Samples of Item Responses
Mislevy, R. J., Beaton, A. E., Kaplan, B., & Sheehan, K. M. (1992) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1992.tb00371.x · Cited by 448 · see citing works
Zumbo, B. D. (2007) · Language Assessment Quarterly · doi:10.1080/15434300701375832 · Cited by 395 · see citing works
“That is, as Zumbo (2007) and Zumbo and Rupp (2004) noted, test and item bias aim analyses at establishing the inferential limits of the test—that is, establishing for whom (and for whom not) the test or item score inferences are valid.”
BackgroundConfirmatory Factor Analytic Procedures for the Determination of Measurement Invariance
French, B., & Finch, W. H. (2006) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1207/s15328007sem1303_3 · Cited by 325 · see citing works
“See Lord and Novick (1968), Muthén and Lehman (1985), and Thissen, Steinberg, and Wainer (1993) for a discussion on the relation between the IRT and CFA parameters.”
BackgroundFinch, H. (2005) · doi:10.1177/0146621605275728 · Cited by 252
“Another approach to DIF assessment that has been discussed both in terms of uniform and nonuniform DIF involves the application of CFA models to item response data (Camilli & Shepard, 1994; Fleishman et al., 2002; Muthen & Lehman, 1985; Navas-Ara & Gomez-Benito, 2002; Oort, 1998).”
BackgroundMethodComputational Statistics and Data Analysis
Mammen, E., Martínez-Miranda, M. D., & Nielsen, J. (2022) · doi:10.1016/j.chemolab.2004.08.001 · Cited by 242
“Using the linear constraint, it becomes possible to assign dates to all assemblages.”
DIF Assessment for Polytomously Scored Items: A Framework for Classification and Evaluation
Potenza, M. T., & Dorans, N. (1995) · Applied Psychological Measurement · doi:10.1177/014662169501900104 · Cited by 168 · see citing works
Impact of differential item functioning on age and gender differences in functional disability.
Fleishman, J., Spector, W., & Altman, B. (2002) · The journals of gerontology. Series B, Psychological sciences and social sciences · doi:10.1093/geronb/57.5.s275 · Cited by 149 · see citing works
“First, it has been shown that a dichotomous factor analysis model (without exogenous covariates) is equivalent to and a reparameterization of the standard two-parameter IRT model (McDonald, 1999; Muthen & Lehman, 1985; Takane & de Leeuw, 1987).”
MethodOverview of Quantitative Measurement Methods
Teresi, J. A. (2006) · Medical Care · doi:10.1097/01.mlr.0000245452.48613.45 · Cited by 122 · see citing works
Demographic Variation in SF-12 Scores: True Differences or Differential Item Functioning?
Fleishman, J. A., & Lawrence, W. (2003) · Medical Care · doi:10.1097/01.mlr.0000076052.42628.cf · Cited by 119 · see citing works
Jones, R. N., & Gallo, J. J. (2002) · The Journals of Gerontology Series B · doi:10.1093/geronb/57.6.p548 · Cited by 140 · see citing works
Jones, R. N. (2006) · Medical Care · doi:10.1097/01.mlr.0000245250.50114.0f · Cited by 126 · see citing works
“Residuals in the measurement relations ( values) are taken to be multivariate normal and uncorrelated among themselves, leading to the IRT normal ogive specification.(24) The parameters estimated in this article were obtained with Mplus(24) version 2.”
MethodData analysis using item response theory.
Thissen, D., & Steinberg, L. (1988) · doi:10.1037/0033-2909.104.3.385 · Cited by 122
Flore, P. (2019) · The Federal Estate Tax · doi:10.7551/mitpress/10365.003.0010 · Cited by 113
The structure of alcohol dependence in the community.
Proudfoot, H., Baillie, A., & Teesson, M. (2006) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2005.05.014 · Cited by 111 · see citing works
Camilli, G. (1992) · Applied Psychological Measurement · doi:10.1177/014662169201600203 · Cited by 102 · see citing works
“The mathematical foundation for this program was given by Muthén and Christofferson (1981), and a numerical example for one latent factor was given by Muthén and Lehman (1985).”
MethodInvestigating Spearman's Hypothesis by Means of Multi-Group Confirmatory Factor Analysis
Dolan, C. V. (2000) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3501_2 · Cited by 99 · see citing works
“The finding that factorial invariance is tenable suggests that the tests are unbiased with respect to group (Meredith, 1993; Millsap, 1997a, 1997b; Muthén & Lehman, 1985; Oort, 1996).”
BackgroundArpana Agrawal, A., & Lynskey, M. T. (2006) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.10.003 · Cited by 93 · see citing works
Some uses of structural equation modeling in validity studies: Extending IRT to external variables
Muthén, B. (1986) · Routledge eBooks · doi:10.4324/9780203056905-24 · Cited by 97 · see citing works
Self-citationRacial bias in the assessment of cognitive functioning of older adults
Jones, R. N. (2003) · Aging & Mental Health · doi:10.1080/1360786031000045872 · Cited by 79 · see citing works
“The SEM approach to detecting differential item functioning (DIF) has been explicated by Muthén & Lehman (1985) and Thissen, Steinberg & Wainer (1993).”
MethodDetection of Crossing Differential Item Functioning
Finch, W. H., & French, B. F. (2007) · Educational and Psychological Measurement · doi:10.1177/0013164406296975 · Cited by 72 · see citing works
“CFA for DIF detection has been recommended (e.g., Muthén & Lehman, 1985) and used with polytomous items (e.g., Fleishman, Spector, & Altman, 2002; Levine et al., 2003).”
BackgroundMethodVariance Estimation for Converting MIMIC Model Parameters to IRT Parameters in DIF Analysis
MacIntosh, R. C., & Hashim, S. (2003) · Applied Psychological Measurement · doi:10.1177/0146621603256021 · Cited by 76 · see citing works
“This equivalence is exploited by Muthen and colleagues in a series of studies (Muthen, 1985, 1988; Muthen, Kao, & Burstein, 1991; Muthen & Lehman, 1985) to assess differential item functioning (DIF) within a multiple-indicator, multiple-causes (MIMIC) model (Hauser & Goldberger, 1971; J̈oreskog &…”
MethodThe structure of cannabis dependence in the community.
Teesson, M., Lynskey, M., Manor, B., & Baillie, A. (2002) · Drug and Alcohol Dependence · doi:10.1016/s0376-8716(02)00223-5 · Cited by 79 · see citing works
Lynskey, M. T., & Arpana Agrawal, A. (2007) · Psychological Medicine · doi:10.1017/s0033291707000396 · Cited by 76 · see citing works
“…cannabis abuse and dependence criteria (Teesson et al. 2002), although examination of item characteristic curves [calculated using item response theory (IRT) criterion characteristic curves (Muthen & Lehman, 1985)] suggested some discrepancies between item properties and the DSM conceptualization.”
MethodItem bias detection using loglinear irt
Kelderman, H. (1989) · doi:10.1007/bf02296403 · Cited by 69
Invariance on the NEO PI-R Neuroticism Scale
Reise, S., Smith, L. L., & Furr, R. (2001) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3601_04 · Cited by 64 · see citing works
“To accomplish this, a multiple-group confirmatory factor model for ordered categorical responses could be applied to the facet scales (see, Muthén & Lehman, 1985; Muthén & Muthén, 1998).”
MethodItem Bias and Test Multidimensionality
Kok, F. G. (1988) · doi:10.1007/978-1-4757-5644-9_12 · Cited by 60
Global Attitude Measurement: An Assessment of the World Values Survey Postmaterialism Scale
MacIntosh, R. C. (1998) · American Sociological Review · doi:10.2307/2657558 · Cited by 54 · see citing works
Two failures of Spearman's hypothesis: The GATB in Holland and the JAT in South Africa
Dolan, C. (2004) · Intelligence · doi:10.1016/j.intell.2003.09.001 · Cited by 50 · see citing works
“…/df = 8.71, AIC = 1233.3, CAIC = 1882.2, and NNFI = 0.82] still indicated a serious deterioration of fit compared with those of A2, we also rejected strong factorial invariance and concluded that some or all of the tests are biased (Meredith, 1993; Millsap, 1997; Muthén & Lehman, 1985; Oort, 1996).”
BackgroundResultInfluentialInformation Matrices in Latent-Variable Models
Mislevy, R., & Sheehan, K. (1989) · doi:10.3102/10769986014004335 · Cited by 50
Explanatory Secondary Dimension Modeling of Latent Differential Item Functioning
de Boeck, P. A. L., Cho, S., & Wilson, M. R. (2011) · Applied Psychological Measurement · doi:10.1177/0146621611428446 · Cited by 47 · see citing works
“Explanation of DIF is one of the important trends in the study of DIF (Cho & Cohen, 2010; Cohen & Bolt, 2005; Cohen, Gregg, & Deng, 2005; DeAyala, Kim, Stapleton, & Dayton, 2002; Muthén, Kao, & Burstein, 1991; Muthén & Lehman, 1985; Penfield, 2010; Samuelsen, 2005; Zumbo & Gelin, 2005).”
Yang, F. M., Tommet, D., & Jones, R. N. (2009) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2008.12.007 · Cited by 38 · see citing works
“The limited information WLSMV approach provides fit statistics commonly found in the structural equation modeling literature and convenient and efficient algorithms for building measurement models for the purpose of detecting measurement noninvariance have been described (Jones, 2003; Muthén and Lehman, 1985; Yang and…”
MethodA procedure for eliminating additive bias from cross-cultural survey data
Scholderer, J., Grunert, K. G., & Brunsø, K. (2002) · Journal of Business Research · doi:10.1016/s0148-2963(02)00475-7 · Cited by 38 · see citing works
Assessing tobacco beliefs among youth using item response theory models.
Panter, A., & Reeve, B. (2002) · Drug and Alcohol Dependence · doi:10.1016/s0376-8716(02)00213-2 · Cited by 38
“two-parameter normal ogive) and structural equation modeling of dichotomous items using a generalized least squares estimation method (non-linear factor analysis) yield equivalent item properties and trait scores ( Muthen and Lehman, 1985 ).”
MethodResultDIF in Native Language and Gender Groups in an ESL Placement Test
Kunnan, A. (1990) · TESOL Quarterly · doi:10.2307/3587128 · Cited by 37 · see citing works
“study, like that of Chen and Henning (1985), identified several vocabulary and grammar items that favored certain native language groups. Other studies that have investigated performance across native language groups include Alderman and Holland (1981), and Oltman, Stricker, and Barrows”
BackgroundMethodInfluentialContextual effects of bilingual programs on beginning reading.
Lee, B.-M., Foorman, B., Francis, D. J., & Mehta, P. (2010) · doi:10.1037/a0019053 · Cited by 32
DIF Statistical Inference Without Knowing Anchoring Items
Chen, Y.-X., Li, C., Ouyang, J., & Xu, G.-J. (2021) · Psychometrika · doi:10.1007/s11336-023-09930-9 · Cited by 30
“…by a multiple indicators, multiple causes (MIMIC) IRT model, which is a structural equation model originally developed for continuous indicators (Zellner, 1970; Goldberger, 1972) and later extended to categorical item response data (Muthen, 1985; Muthen et al., 1991; Muthen & Lehman, 1985) .”
MethodJones, R. N., & Fonda, S. J. (2004) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-004-0815-8 · Cited by 30 · see citing works
“medical and psychiatric research, is reviewed elsewhere [14, 25, 34].”
BackgroundMethodA Bayesian generalized multiple group IRT model with model-fit assessment tools
Azevedo, C. L. N., Andrade, D., & Fox, J. (2012) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2012.03.017 · Cited by 28
Large Sample Confidence Intervals for Item Response Theory Reliability Coefficients
Andersson, B., & Xin, T. (2017) · Educational and Psychological Measurement · doi:10.1177/0013164417713570 · Cited by 32 · see citing works
“In Ogasawara (2002), it was shown that item response functions were possible to estimate accurately in spite of unstable item parameter estimates while the expected information functions were more affected by unstable item parameter estimates.”
BackgroundMethodResultExamining differential item functioning due to item difficulty and alternative attractiveness
Westers, P., & Kelderman, H. (1992) · doi:10.1007/bf02294661 · Cited by 25
Studying Differential Item Functioning via Latent Variable Modeling
Raykov, T., Marcoulides, G. A., Lee, C.-L., & Chang, C. (2013) · Educational and Psychological Measurement · doi:10.1177/0013164413478165 · Cited by 21 · see citing works
“With this potentially serious limitation of that approach in mind, a researcher may be willing to consider instead dropping from the instrument or modifying the item(s) for which DIF has been found with the method of this article (or with other procedures; see also Muthén & Lehman, 1985).”
MethodMcCutcheon, V. V., Arpana Agrawal, A., Heath, A. C., Edenberg, H. J., HESSELBROCK, V. M., Schuckit, M. A., Kramer, J., & Bucholz, K. K. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01550.x · Cited by 17 · see citing works
“Parameters from CFA can be converted into a 2 parameter logistic item response model (Muthén and Lehman, 1985) characterized by discrimination and difficulty.”
MethodInfluentialAn item response theory analysis of nicotine dependence symptoms in recent onset adolescent smokers
Rose, J. S., & Dierker, L. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.02.006 · Cited by 19 · see citing works
DSM-IV nicotine dependence symptom characteristics for recent-onset smokers
Rose, J. S., & Dierker, L. (2010) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntp210 · Cited by 24 · see citing works
A Comparison of χ2, RFA and IRT Based Procedures in the Detection of DIF
Gómez‐Benito, J., & NAVAS-ARA, M. J. (2000) · Quality & Quantity · doi:10.1023/a:1004703709442 · Cited by 17 · see citing works
“This comparison can be carried out in several different ways: (1) by calculating the area between ICC’s (Linn et al., 1981; Raju, 1988, 1990; Rudner, 1977; Rudner et al., 1980); (2) by studying the goodness of fit of an IRT model to the focal group with parameters estimated in the combined (or reference) group (Linn a…”
MethodAhmed, I., Bertling, M., Zhang, L., Ho, A. D., Loyalka, P. K., Xue, H., Rozelle, S., & Domingue, B. W. (2024) · Journal of Research on Educational Effectiveness · doi:10.1080/19345747.2024.2361337 · Cited by 22 · see citing works
“6 To do so, we use the multiple group approach (Muthen & Lehman, 1985) estimated via the EM algorithm (Bock & Aitkin, 1981) as implemented in mirt (Chalmers, 2012).”
Measurement Error, Multidimensionality, and Scale Shrinkage: A Reply to Yen and Burket
Camilli, G. (1999) · doi:10.1111/j.1745-3984.1999.tb00547.x · Cited by 19
Item Response Theory in Scale Development Research
Whittaker, T. A., & Worthington, R. L. (2016) · The Counseling Psychologist · doi:10.1177/0011000015626273 · Cited by 25 · see citing works
“However, readers interested in more coverage may consult additional references (see, for example, Forero & Maydeu-Olivares, 2009; Kamata & Bauer, 2008; B. Muthén & Asparouhov, 2002; B. Muthén & Lehman, 1985; Takane & de Leeuw, 1987).”
BackgroundMethodKadengye, D., Ceulemans, E., & den Noortgate, W. V. (2013) · Behavior Research Methods · doi:10.3758/s13428-013-0413-3 · Cited by 16 · see citing works
“In situations in which the same set of dichotomously scored items is administered to more than one class of persons, items many not be invariant across the classes (Muthén & Lehman, 1985) — for instance, due to DIF.”
BackgroundDIF Analysis with Unknown Groups and Anchor Items
Wallin, G., Chen, Y.-X., & Moustaki, I. (2023) · Psychometrika · doi:10.1007/s11336-024-09948-7 · Cited by 15
“We note that the model coincides with a MIMIC model (Jöreskog & Goldberger, 1975) for manifest DIF analysis (Muthen & Lehman, 1985; Muthén, 1989; Woods, 2009; Woods & Grimm, 2011) when conditioning on the latent class ξ i (i.e., viewing ξ i as observed).”
Item analysis and differential item functioning of a brief conduct problem screen.
Wu, J., King, K. M., Witkiewitz, K. A., Racz, S. J., & McMahon, R. J. (2011) · Psychological Assessment · doi:10.1037/a0025831 · Cited by 12 · see citing works
“One can also use the robust maximum likelihood estimator (MLE), which produces slightly more efficient estimates than WLSMV when dealing with item response data (Muthén & Lehman, 1985).”
MethodChapter 6: Recent Developments in Item Response Theory with Implications for Teacher Certification
Mislevy, R. J. (1987) · Review of Research in Education · doi:10.3102/0091732x014001239 · Cited by 17 · see citing works
“…of Research in Education, 14 an IRT model assumes that given θ, there is no interaction between items and intervening variables such as gender and course content; Muthén (1987) and Muthén and Lehman (1985) compare the fit of structural models that do and do not posit their conditional effects.”
BackgroundMethodFerrando, P. J., & Anguiano‐Carrasco, C. (2009) · Multivariate Behavioral Research · doi:10.1080/00273170903103340 · Cited by 16 · see citing works
“The following results are an extension of those derived by B. Muthén and Lehman (1985) for the unidimensional case.”
BackgroundMethodResultInfluentialFerrando, P. J., & Anguiano‐Carrasco, C. (2009) · Personality and Individual Differences · doi:10.1016/j.paid.2008.12.013 · Cited by 14 · see citing works
Dimitrov, D. M. (2017) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.2017.1320946 · Cited by 14 · see citing works
“This equivalence was used in a series of studies (e.g., Muthén, 1985, Muthén, Kao, & Burstein, 1991; Muthén & Lehman, 1985; Raykov et al., 2015; Woods & Grimm, 2011) to test for DIF in the framework of CFA under the multiple-indicator, multiple-causes (MIMIC) model (Jöreskog & Goldberger, 1975).”
MethodA Structural Equation Model at the Individual and Group Level for Assessing Faking-Related Change
Ferrando, P. J., & Anguiano‐Carrasco, C. (2011) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2011.532725 · Cited by 11 · see citing works
“Finally, we believe that the acceptable fit is a noticeable result, as models of the type considered here are usually intended to make a detailed scrutiny of small sets of 5 to 10 items (B. O. Muthén & Lehman, 1985).”
Seung, B.-C., Wood, P., & Heath, A. (2008) · Behavior Genetics · doi:10.1007/s10519-008-9237-9 · Cited by 12
“Analyses of ordered categorical variable in multiple-group settings have been described elsewhere (Muthén and Christofferson 1981; Muthén and Lehman 1985; Muthén 1989; Muthén and Asparouhov 2002; Millsap and YunTein 2004).”
MethodImproving Measurement Precision in Experimental Psychopathology Using Item Response Theory
Feuerstahler, L. M., Waller, N. G., & MacDonald, A. W. (2019) · Educational and Psychological Measurement · doi:10.1177/0013164419892049 · Cited by 13 · see citing works
“In the present context, the multiple-group model estimates a separate mean ability and variance for each diagnostic group and allows for a direct test of whether the measurement model is invariant across the different groups (Muthe´n & Lehman, 1985).”
An IRT-Based Two-Wave Model for Studying Short-Term Stability in Personality Measurement
Ferrando, P. J. (2002) · Applied Psychological Measurement · doi:10.1177/0146621602026003004 · Cited by 11 · see citing works
“(18) It should be pointed out that Muthén and Lehman (1985) obtained similar results in the context of multiple group measurements at a single point in time.”
ResultReliability coefficients for multiple group item response theory models
Andersson, B., Luo, H., & Marcq, K. (2022) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12269 · Cited by 9 · see citing works
Differential criterion functioning of alcohol use symptomatology in major depressive disorder?
Lynskey, M. T., & Arpana Agrawal, A. (2007) · Psychological Medicine · doi:10.1017/s003329170700178x · Cited by 9 · see citing works
“Differential item/criterion functioning (DCF; Muthen & Lehman, 1985) is a formal test of whether the factor loading/ discrimination and the threshold/difficulty of certain criteria vary across subgroups of individuals, such as men and women, or in individuals with co-occurring MDD.”
BackgroundDorans, N., & Potenza, M. T. (1994) · doi:10.1002/j.2333-8504.1994.tb01622.x · Cited by 9
An Item Response Theory Analysis of Safety Knowledge in Colorado Farm Residents
Beseler, C., & Stallones, L. (2011) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e31820f3843 · Cited by 8
Duncan, A., Agrawal, A., Bucholz, K., Sartor, C., Madden, P., & Heath, A. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.01.001 · Cited by 8
Titman, A., Lancaster, G., & Colver, A. (2016) · Statistical Methods in Medical Research · doi:10.1177/0962280213504177 · Cited by 7
“It is difficult to allow the same set of covariates to effect both the measurement and structural part of the model without some issues of identifiability, although such a model is possible provided there are some items for which there is no direct effect.(50,51) Ordinal SEMs with covariates are usually fitted by a mu…”
MethodJeon, M. (2018) · doi:10.20982/tqmp.14.2.p120 · Cited by 6
“If the subjects’ populationmembership is known, multiplegroup IRT models (e. g., B. Muthén & Lehman, 1985) can be used.”
MethodData handling in cross-cultural studies: measurement invariance
Scholderer, J. (2010) · Elsevier eBooks · doi:10.1533/9781845699970.4.470 · Cited by 6 · see citing works
Andersson, B., Jin, S.-B., & Zhang, M.-X. (2023) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2023.107710 · Cited by 5
Quesen, S., & Lane, S. (2019) · Applied Measurement in Education · doi:10.1080/08957347.2019.1660347 · Cited by 5
Vergani, M., Diallo, T., Mansouri, F., Dunn, K., Sharples, R., Paradies, Y., & Elias, A. (2023) · doi:10.1080/09546553.2021.2010716 · Cited by 4
Wiese, A. L., Sease, T. B., Knight, D., & Knight, K. (2022) · Journal of Offender Rehabilitation · doi:10.1080/10509674.2022.2128153 · Cited by 4
Vertical Scaling with Moderated Nonlinear Factor Analysis
Student, S. R. (2025) · Journal of Educational Measurement · doi:10.1111/jedm.70019 · Cited by 2 · see citing works
An analysis of item response theory using program R
Ali, A., & Istiyono, E. (2022) · Al-Jabar: Jurnal Pendidikan Matematika · doi:10.24042/ajpm.v13i1.11252 · Cited by 2
“The construct in question is the latent variable measured on items formed based on indicators as variables observed in the factor analysis model (Muthen & Lehman, 1985; Thissen et al., 1993).”
MethodLee, M.-J. K., Lee, J. J., Wells, C. S., & Sireci, S. (2016) · doi:10.20982/tqmp.12.1.p009 · Cited by 2
“IRT is a mild nonlinearization of standard factor analy- sis, and indeed this connection has been recognized since the initial formulation of IRT (Lord & Novick, 1968; Muthén & Lehman, 1985; Takane & de Leeuw, 1987; McDonald, 1999; Kamata & Bauer, 2008; Bartholomew, Knott, & Moustaki, 2011).”
MethodHan, Y., Ji, F., Chen, Y., Kaiyu, G. A. N., & Liu, H. (2026) · Methodology · doi:10.5964/meth.16999
Incorporating Student Covariates in Cognitive Diagnosis Models
Ayers, E., Rabe-Hesketh, S., & Nugent, R. (2013) · Journal of Classification · doi:10.1007/s00357-013-9130-y
Item Bias Detection: Modern Approaches
Mellenbergh, G. J. (2005) · Encyclopedia of Statistics in Behavioral Science · doi:10.1002/0470013192.bsa748 · Cited by 2 · see citing works
- Authors
- Muthén, B., & Lehman, J.
- Affiliations
- University of California, Los Angeles
- University of California, Los Angeles (US)
- ORCID
- Lehman, James
- Venue
- Journal of Educational Statistics
- Published
- 1985-06
- Volume
- 10
- Issue
- 2
- Pages
- 133-142
- ISSN
- 0362-9791 (ISSN-L)
- OpenAlex
- W2025726766
- Cited by
- 97
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 2 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 2 · 2015: 1 · 2014: 6 · 2013: 5 · 2012: 3
- FWCI
- 1.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Educational Statistics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- 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
- binary variables, gender differences, test fairness
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 ›
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