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The Rediscovery of Bifactor Measurement Models
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multidimensionality in a set of ordered categorical item responses. I begin by describing the Schmid-Leiman bifactor procedure (Schmid & Leiman, 1957), and highlight its relations with correlated-factors and second-order exploratory factor models. After describing limitations of the Schmid-Leiman, two newer methods of exploratory bifactor modeling are considered, namely, analytic bifactor (Jennrich & Bentler, 2011) and target bifactor rotations (Reise, Moore, & Maydeu-Olivares, 2011). In section two, I discuss limited and full-information estimation approaches to confirmatory bifactor models that have emerged from the item response theory and factor analysis traditions, respectively. Comparison of the confirmatory bifactor model to alternative nested confirmatory models and establishing parameter invariance for the general factor also are discussed. In the final section, important applications of bifactor models are reviewed. These applications demonstrate that bifactor modeling potentially provides a solid foundation for conceptualizing psychological constructs, constructing measures, and evaluating a measure's psychometric properties. However, some applications of the bifactor model may be limited due to its restrictive assumptions.
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“Model-based reliability estimates have often been proposed as an alternative measure of reliability for structural equation modeling (Brunner et al. 2012; Reise 2012; Rodriguez et al. 2016) due to the practical limitations of Cronbach’s alpha (Dunn et al. 2014; Sijtsma 2009; Yang and Green 2011).”
From Measurement Invariance of the WISC-V across a Clinical Sample of Children and Adolescents with ADHD and a Matched Control Group (2024) · cites this paper as Reise 2012
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
EQS : structural equations program manual
Bentler, P. M. (1989) · Medical Entomology and Zoology · Cited by 9,669
Test Theory: A Unified Treatment
Zwick, R., & McDonald, R. P. (2000) · Journal of the American Statistical Association · doi:10.2307/2669496 · Cited by 3,641 · cited 1×
“Thus, to judge the degree to which composite scale scores are interpretable as a measure of a single common factor, we need a related index called coefficient omega hierarchical (McDonald, 1999; Zinbarg, Revelle, Yovel, & Li, 2005).”
Conventional wisdom on measurement: A structural equation perspective.
Bollen, K., & Lennox, R. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.2.305 · Cited by 3,618 · cited 1×
“In other words, if the data are truly unidimensional and a unidimensional latent variable measurement model is proposed to fit the data, content representativeness does not make any difference in defining the latent variable or in the value of the estimated item parameters (Bollen & Lennox, 1991).”
Exploratory Structural Equation Modeling
Asparouhov, T., & Muthén, B. (2009) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705510903008204 · Cited by 2,701
(1999) · Cited by 2,653
Corrections to test statistics and standard errors in covariance structure analysis.
Satorra, A., & Bentler, P. M. (1994) · Cited by 2,388
Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithm
Bock, R. D., & Aitkin, M. (1981) · Psychometrika · doi:10.1007/bf02293801 · Cited by 2,339 · cited 1×
“Specifically, many applications of IRT are based on the marginal maximum likelihood (MML; Bock & Aitken, 1981) estimation method.”
Zinbarg, R. E., Revelle, W., Yovel, I., & Li, W. (2005) · Psychometrika · doi:10.1007/s11336-003-0974-7 · Cited by 1,439
Reise, S. P., Moore, T. M., & Haviland, M. G. (2010) · Journal of Personality Assessment · doi:10.1080/00223891.2010.496477 · Cited by 1,196 · cited 4×
“…resolving important problems in conceptualizing and measuring psychological constructs (Brunner, Nagy, & Wilhelm, 2012; Cai, Yang, & Hansen, 2011; Chen, Hayes, Carver, Laurenceau, & Zhang, 2012; Gustafsson & Aberg-Bengtsson, 2010; Reise et al., 2010; Reise, Morizot, & Hays, 2007; Thomas, 2012); 3.”
InfluentialSelf-citation
Research works printed but not linked: 13
- Bock R. D., 2003, TESTFACT 4.0 [Computer software and manual]
- Browne M. W., 2008, CEFA: Comprehensive Exploratory Factor Analysis (Version 3.02) [Computer software and manual]
- Cai L., 2011, IRTPRO: Flexible, multidimensional, multiple categorical IRT modeling.
- Cai L., 2011, IRTPRO: Flexible, multidimensional, multiple categorical IRT modeling [Computer software]
- Chen W. H., 1997, Journal of Educational and Behavioral Statistics, 22, 265, 10.2307/1165285 · DOI
- Gibbons R. D., 2008, Psychiatric Services, 59, 361, 10.1176/appi.ps.59.4.361 · DOI
- Jennrich R. I., 2012, Psychometrika.
- Jeon M., Journal of Educational and Behavioral Statistics.
- Muthén L. K., 2011, Mplus user's guide,
- Revelle W., 2012, Psych: Procedures for psychological, psychometric, and personality research. R package version 1.1–10
- Satorra A., 1994, Latent variable analysis: Applications for development research, 399
- Wu E. J. C., 2011, EQSIRT: A user-friendly IRT program.
- Zhang J., 1999, Psychometrika, 64, 231
Cited by
Sorted by citations
The standards for educational and psychological testing.
Eignor, D. R. (2013) · American Psychological Association eBooks · doi:10.1037/14047-013 · Cited by 6,985
Thanks coefficient alpha, we’ll take it from here.
McNeish, D. (2018) · Psychological Methods · doi:10.1037/met0000144 · Cited by 2,533
Marsh, H. W., Morin, A. J. S., Parker, P. D., & Kaur, G. (2013) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032813-153700 · Cited by 1,988
Beyond Dichotomies: Competence Viewed as a Continuum
Blömeke, S., Gustafsson, J.-E., & Shavelson, R. J. (2015) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000194 · Cited by 1,205
“Models for essential unidimensionality can be implemented in different ways, for example with socalled bi-factor models or hierarchical measurement models (Gustafsson & Åberg-Bengtsson, 2010; Reise, 2012).”
MethodScoring and Modeling Psychological Measures in the Presence of Multidimensionality
Reise, S. P., Bonifay, W. E., & Haviland, M. G. (2013) · Journal of Personality Assessment · doi:10.1080/00223891.2012.725437 · Cited by 1,069
Self-citationApplying Bifactor Statistical Indices in the Evaluation of Psychological Measures
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016) · Journal of Personality Assessment · doi:10.1080/00223891.2015.1089249 · Cited by 990
“…on this equation, it is clear that, as the proportion of variance explained by the general factor increases, ECV will increase, and, as noted by Reise (2012), higher ECV values indicate a strong general factor, which could guide researchers in deciding whether to fit a unidimensional model…”
InfluentialSelf-citationO’Brien, H. L., Cairns, P., & Hall, M. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.01.004 · Cited by 1,014
“An interesting example of this comes from a study conducted by Warnock and Lalmas (2015) where user engagement with two versions of a web interface was tested.”
BackgroundTrizano-Hermosilla, Í., & Alvarado, J. M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00769 · Cited by 986
“…to carry out further research to evaluate the functioning of the various reliability coefficients with more complex multidimensional structures (Reise, 2012; Green and Yang, 2015) and in the presence of ordinal and/or categorical data in which non-compliance with the assumption of normality is…”
BackgroundMorin, A. J. S., Arens, A. K., & Marsh, H. W. (2015) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.961800 · Cited by 913
“Statistically, the strict proportionality constraints that are at play in hierarchical models limit their flexibility and practical applicability (Brunner et al., 2012; Chen et al., 2006; Jennrich & Bentler, 2011; Reise, 2012).”
BackgroundMethodInfluentialReise, S. P., Scheines, R., Widaman, K. F., & Haviland, M. G. (2013) · Educational and Psychological Measurement · doi:10.1177/0013164412449831 · Cited by 766
Self-citationCho, E., & Kim, S. (2014) · Organizational Research Methods · doi:10.1177/1094428114555994 · Cited by 812
“Group factors are also generally constrained to be orthogonal to or uncorrelated with each other for identification and interpretability (Reise, 2012).”
InfluentialUn viaje alrededor de alfa y omega para estimar la fiabilidad de consistencia interna
Viladrich, C., Angulo-Brunet, A., & Doval, E. (2017) · Anales de Psicología · doi:10.6018/analesps.33.3.268401 · Cited by 800
“The specification of a bifactor type measurement model (e.g., Reise, 2012) is particularly useful for determining essential unidimensionality.”
MethodChristensen, K. B., Makransky, G., & Horton, M. (2016) · Applied Psychological Measurement · doi:10.1177/0146621616677520 · Cited by 736
“Other approaches include using testlet models (Wang & Wilson, 2005; Wilson & Adams, 1995) or a bifactor model (Reise, 2012).”
Ferrando, P. J., & Lorenzo‐Seva, U. (2017) · Educational and Psychological Measurement · doi:10.1177/0013164417719308 · Cited by 630
“, Hancock & Mueller, 2000), but recently, Rodriguez, Reise, and Haviland (2016a, 2016b) have put forward a well-organized proposal in the context of bifactor FA solutions (Reise, 2012).”
BackgroundProgram FACTOR at 10: Origins, development and future directions
Ferrando, P. J., & Lorenzo‐Seva, U. (2017) · Psicothema · doi:10.7334/psicothema2016.304 · Cited by 535
Risk preference shares the psychometric structure of major psychological traits
Frey, R., Pedroni, A., Mata, R., Rieskamp, J., & Hertwig, R. (2017) · Science Advances · doi:10.1126/sciadv.1701381 · Cited by 556
“Latent variable modeling To test the hypothesis of a general risk-preference factor,we implemented a psychometric bifactor model, which has a long tradition in research on intelligence (84) and has recently been rediscovered as an effective method to model construct-relevant multidimensionality (27, 85, 86).”
MethodMoshagen, M., Hilbig, B. E., & Zettler, I. (2018) · Psychological Review · doi:10.1037/rev0000111 · Cited by 519
“In particular, to test the notion of one single common core of dark traits, we resorted to a bifactor approach (e.g., Reise, 2012).”
MethodReliability from α to ω: A tutorial.
Revelle, W., & Condon, D. M. (2019) · Psychological Assessment · doi:10.1037/pas0000754 · Cited by 569
“One method uses a bifactor solution (Holzinger & Swineford, 1937; Reise, 2012; Rodriguez, Reise, & Haviland, 2016) using structural equation modeling software (e.”
MethodA hierarchical causal taxonomy of psychopathology across the life span.
Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H. (2017) · Psychological Bulletin · doi:10.1037/bul0000069 · Cited by 443
“The more specific subfactors are specified as orthogonal to (i.e., uncorrelated with) the general factor and reflect correlations among the subsets of dimensions after the correlations among all dimensions captured by the general factor have been taken into account (Reise, 2012).”
BackgroundAnomalous results in G-factor models: Explanations and alternatives.
Eid, M., Geiser, C., Koch, T., & Heene, M. (2016) · Psychological Methods · doi:10.1037/met0000083 · Cited by 464
“The specific factors are considered “residualized factors” (Reise, 2012, p. 691).”
BackgroundInfluentialA Systematic Review of the Career Adaptability Literature and Future Outlook
Johnston, C. S. (2016) · Journal of Career Assessment · doi:10.1177/1069072716679921 · Cited by 523
“For example, bifactor models (Brunner, Nagy, & Wilhelm, 2012; Reise, 2012) that account for general or shared variance across dimensions, but also the unique variance of dimensions, might be useful in the case of career adaptability to identify the specific roles played by the dimensions.”
BackgroundNeff, K. D., Tóth-Király, I., Yarnell, L. M., Arimitsu, K., Castilho, P., Ghorbani, N., Guo, H. X., Hirsch, J. K., Hupfeld, J., Hutz, C. S., et al. (2019) · Psychological Assessment · doi:10.1037/pas0000629 · Cited by 397
“In the case of the bifactor models (4a, 4b, 5a, and 5b), group factors were specified as orthogonal to the general factor, as is standard (e.g., Reise, 2012; Reise, Moore, & Haviland, 2010) but the two general factors were specified as correlated1 (see also Tóth-Király, Morin, Bőthe, Orosz, &…”
MethodMarsh, H. W., Lüdtke, O., Nagengast, B., Morin, A. J. S., & von Davier, M. (2013) · Psychological Methods · doi:10.1037/a0032773 · Cited by 416
Zanon, C., Brenner, R. E., Baptista, M. N., Vogel, D. L., Rubin, M., Al-Darmaki, F. R., Gonçalves, M., Heath, P. J., Liao, H.-Y., Mackenzie, C. S., et al. (2020) · Assessment · doi:10.1177/1073191119887449 · Cited by 429
“The appropriate ECV benchmarks are determined by the PUC (Percentage of Uncontaminated Correlations; Reise, 2012; Reise, Scheines, Widaman, & Haviland, 2013) or the percentage of correlations among items in different specific factors and thus are not inflated due to shared general and specific…”
BackgroundMethodInfluentialMaking Reliability Reliable: A Systematic Approach to Reliability Coefficients
Cho, E. (2016) · Organizational Research Methods · doi:10.1177/1094428116656239 · Cited by 378
“The answer is affirmative in many cases because a common construct is what scale developers originally intended to measure and what typical researchers are most interested in (Cho & Kim, 2015; Reise, 2012).”
BackgroundModern Factor Analytic Techniques
Morin, A. J. S., Myers, N. D., & Lee, S. (2020) · Wiley eBooks · doi:10.1002/9781119568124.ch51 · Cited by 361
Psychometric Properties of the Penn Computerized Neurocognitive Battery
Moore, T. M., Reise, S. P., Gur, R. E., Hakonarson, H., & Gur, R. C. (2015) · Neuropsychology · doi:10.1037/neu0000093 · Cited by 325
“Another convenient development in methodology that will help with the exploration of validity is the recent adoption by many researchers of the bifactor model itself (See Reise, 2012).”
Self-citationTwenty-five years with the 20-item Toronto Alexithymia Scale
Bagby, R. M., Parker, J. D. A., & Taylor, G. J. (2020) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2020.109940 · Cited by 334
A distributed brain network predicts general intelligence from resting-state human neuroimaging data
Dubois, J., Galdi, P., Paul, L. K., & Adolphs, R. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0284 · Cited by 328
The Transportation Scale–Short Form (TS–SF)
Appel, M., Gnambs, T., Richter, T., & Green, M. C. (2015) · Media Psychology · doi:10.1080/15213269.2014.987400 · Cited by 309
“Thus, the BFM allows us to more directly investigate the amount of shared variance in each item due to the general and domain-specific factors (for an in-depth discussion of BFM in the area of personality research, see Reise, 2012).”
MethodInfluentialMorin, A. J. S., & Marsh, H. W. (2014) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.919825 · Cited by 328
“More precisely, a bifactor model (Holzinger & Swineford, 1937; Morin, Tran, & Caci, 2013; Reise, 2012) analyzes the total covariance among the indicators to extract a global G factor underlying all indicators, and models the residual covariance not explained by the G factor through the specific S…”
MethodThe Development and Validation of the State Self-Compassion Scale (Long- and Short Form)
Neff, K. D., Tóth-Király, I., Knox, M. C., Kuchar, A., & Davidson, O. (2021) · Mindfulness · doi:10.1007/s12671-020-01505-4 · Cited by 309
“The first source pertains to the assessment of coexisting global and specific constructs with bifactor modeling being able to model the associations of the global and specific factors on the questionnaire items (see also Reise 2012).”
BackgroundFlora, D. B., & Flake, J. K. (2017) · Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement · doi:10.1037/cbs0000069 · Cited by 304
Hallquist, M. N., Wright, A. G. C., & Molenaar, P. C. M. (2021) · Multivariate Behavioral Research · doi:10.1080/00273171.2019.1640103 · Cited by 292
“…by many applications in latent variable modeling, including how best to handle cross-loadings (Asparouhov, Muthén, & Morin, 2015), bifactor models (Reise, 2012), multi-trait multi-method analyses (Kenny & Kashy, 1992), and mitigating response biases (McLarnon, Goffin, Schneider, & Johnston, 2016).”
BackgroundValidity evidence based on internal structure
Rios, J. A., & Wells, C. (2014) · Psicothema · doi:10.7334/psicothema2013.260 · Cited by 282
“As noted by Reise (2012), the presence of multidimensionality does not dictate the creation of subscales nor does it ruin the interpretability of a unit-weighted composite score.”
BackgroundMethodInfluentialThe reliability of multidimensional neuropsychological measures: from alpha to omega
Watkins, M. W. (2017) · The Clinical Neuropsychologist · doi:10.1080/13854046.2017.1317364 · Cited by 275
“In contrast, a robust ωhs coefficient suggests that most of the reliable variance of that subscale is independent of the general factor and clinical interpretation of an examinee’s strengths and weaknesses beyond the general factor can be conducted (Brunner et al., 2012; DeMars, 2013; Reise, 2012).”
BackgroundMethodResultInfluentialWechsler Preschool and Primary Scale of Intelligence—Fourth Edition
Wechsler, D. (2012) · Cited by 264
Teacher–Child Interactions in Chile and Their Associations With Prekindergarten Outcomes
Leyva, D., Weiland, C., Barata, M. C., Yoshikawa, H., Snow, C. E., Treviño, E., & Rolla, A. (2015) · Child Development · doi:10.1111/cdev.12342 · Cited by 263
“—we first fitted a CFA model to the Chilean sample.”
MethodInfluentialHoward, J. L., Gagné, M., Morin, A. J. S., & Forest, J. (2016) · Journal of Management · doi:10.1177/0149206316645653 · Cited by 298
“However, higher-order factor models rely on highly restrictive implicit assumptions that may not hold in practice and may explain why they often fail to meet minimal requirements of adequate fit (Gignac, 2008; Morin et al., 2016; Reise, 2012).”
BackgroundMethodSilvia, P. J., Beaty, R. E., & Nusbaum, E. C. (2013) · Intelligence · doi:10.1016/j.intell.2013.05.004 · Cited by 247
“In a bifactormodel, the general Gr factor and specific factors each predict the indicators (Chen et al., 2006, 2012; Reise, 2012).”
BackgroundGuo, J., Nagengast, B., Marsh, H. W., Kelava, A., Gaspard, H., Brandt, H., Cambria, J., Flunger, B., Dicke, A., Häfner, I., et al. (2016) · AERA Open · doi:10.1177/2332858415626884 · Cited by 271
“7 Bi-factor models provide a more flexible alternative, a way of capturing the hierarchical and multidimensional nature of task value (Chen, West, & Sousa, 2006; Reise, 2012).”
Shanmugan, S., Wolf, D. H., Calkins, M. E., Moore, T. M., Ruparel, K., Hopson, R. D., Vandekar, S. N., Roalf, D. R., Elliott, M. A., Jackson, C., et al. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15060725 · Cited by 219
“As initial exploratory factor analyses indicated correlated traits of psychopathology, we used a bifactor confirmatory model, which can produce orthogonal scores from correlated traits (28).”
The Emotion Regulation Questionnaire: Psychometric properties in general community samples
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García-Batista, Z. E., Guerra-Peña, K., Cano-Vindel, A., Herrera-Martínez, S. X., & Medrano, L. A. (2018) · PLOS ONE · doi:10.1371/journal.pone.0199750 · Cited by 240
Two is more valid than one: Examining the factor structure of the Self-Compassion Scale (SCS).
Brenner, R. E., Heath, P. J., Vogel, D. L., & Credé, M. (2017) · Journal of Counseling Psychology · doi:10.1037/cou0000211 · Cited by 246
Green, S. B., & Yang, Y. (2015) · Educational Measurement Issues and Practice · doi:10.1111/emip.12100 · Cited by 240
Neff, K. D., Long, P., Knox, M. C., Davidson, O., Kuchar, A., Costigan, A., Williamson, Z., Rohleder, N., Tóth-Király, I., & Breines, J. G. (2018) · Self and Identity · doi:10.1080/15298868.2018.1436587 · Cited by 234
“Neff, Whittaker and Karl (2017) have argued that a bifactor approach (Reise, 2012) – which models the association of SCS items with the six specific factors of self-compassion and a general factor simultaneously – is more consistent with a systems-view of self-compassion.”
BackgroundBifactor and Hierarchical Models: Specification, Inference, and Interpretation
Markon, K. E. (2019) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050718-095522 · Cited by 251
Preece, D. A., Becerra, R., Robinson, K., Dandy, J., & Allan, A. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.05.011 · Cited by 249
“There was therefore statistical support for the presence of a strong “general alexithymia” factor, as well as statistical support for five narrow factors reflecting the subdomains (i.e., the subscales) of the multidimensional alexithymia construct (Reise, 2012).”
BackgroundInfluentialBornovalova, M. A., Choate, A. M., Fatimah, H., Petersen, K. J., & Wiernik, B. M. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.01.013 · Cited by 235
Mathes, B. M., Norr, A. M., Allan, N. P., Albanese, B. J., & Schmidt, N. B. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.01.002 · Cited by 209
Gignac, G. (2016) · Intelligence · doi:10.1016/j.intell.2016.01.006 · Cited by 214
“…bifactor model appears to have become embraced in the area of psychometrics and personality in recent years (Chen, Hayes, Carver, Laurenceau, & Zhang, 2012; Gibbons et al., 2007; Gruhl, Erosheva, & Crane, 2013; Morin, Arens, & Marsh, in press; Reise, 2012; Rodriguez, Reise, &Haviland, in press).”
BackgroundDevelopment and initial validation of the Life Skills Scale for Sport
Cronin, L., & Allen, J. B. (2016) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2016.11.001 · Cited by 281
“Bifactor models should be tested when the researcher is investigating multifaceted concepts (Reise, 2012) or when investigating the presence of a single global factor (Howard, Gagn e, Morin, & Forest, 2016).”
BackgroundMethodConceptualizing and testing a new tripartite measure of coach interpersonal behaviors
Bhavsar, N., Ntoumanis, N., Quested, E., Gucciardi, D. F., Thøgersen‐Ntoumani, C., Ryan, R. M., Reeve, J., Sarrazin, P. G., & Bartholomew, K. J. (2019) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2019.05.006 · Cited by 223
“It is also important to test bifactor models (Holzinger & Swineford, 1937; Reise, 2012) in examining interpersonal behaviors.”
BackgroundMethodBifactor Modeling and the Estimation of Model-Based Reliability in the WAIS-IV
Gignac, G. E., & Watkins, M. W. (2013) · Multivariate Behavioral Research · doi:10.1080/00273171.2013.804398 · Cited by 200
“Bifactor model solutions can be estimated within both exploratory factoranalytic and confirmatory factor-analytic frameworks (Jennrich & Bentler, 2011; Reise, 2012).”
BackgroundMorin, A. J. S., Boudrias, J.-S., Marsh, H. W., McInerney, D. M., Dagenais-Desmarais, V., Madore, I., & Litalien, D. (2017) · Journal of Business and Psychology · doi:10.1007/s10869-016-9448-7 · Cited by 226
“, corresponding to b/c), and unlikely to hold in real life (Reise 2012; Yung et al. 1999).”
BackgroundMethodInfluentialExploratory factor analysis of the Oral Health Impact Profile
John, M. T., Reissmann, D. R., Feuerstahler, L. M., Waller, N., Baba, K., Larsson, P., Čelebić, A., Szabó, G., & Rener‐Sitar, K. (2014) · Journal of Oral Rehabilitation · doi:10.1111/joor.12192 · Cited by 199
Hierarchical models of psychopathology: empirical support, implications, and remaining issues
Lahey, B. B., Moore, T. M., Kaczkurkin, A. N., & Zald, D. H. (2021) · World Psychiatry · doi:10.1002/wps.20824 · Cited by 188
Rockstuhl, T., & Dyne, L. V. (2018) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2018.07.005 · Cited by 195
“Bi-factor models have a long history in intelligence research (Gustafsson & Balke, 1993; Holzinger & Swineford, 1937) and have seen a recent resurgence in the context of modeling psychometric multidimensionality (Chen, West, & Sousa, 2006; Morin, Arens, & Marsh, 2016; Reise, 2012).”
BackgroundConfirmatory factor analysis of the Oral Health Impact Profile
John, M. T., Feuerstahler, L. M., Waller, N., Baba, K., Larsson, P., Čelebić, A., Kende, D., Rener‐Sitar, K., & Reissmann, D. R. (2014) · Journal of Oral Rehabilitation · doi:10.1111/joor.12191 · Cited by 195
“Combining elements of both primary hypotheses in a bifactor model (11, 12), we also investigated a third hypothesis (Fig.”
Appleton, P. R., Ntoumanis, N., Quested, E., Viladrich, C., & Duda, J. L. (2015) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2015.05.008 · Cited by 231
“That is, the group factors reflected the part of the items' variance not explained by the global factors, and the global factors reflected the proportion of the items' variance that is shared across all items (e.g., Chen, West, & Sousa, 2006; Reise, 2012).”
BackgroundMethodEating traits questionnaires as a continuum of a single concept. Uncontrolled eating
Vainik, U., Neseliler, S., Konstabel, K., Fellows, L. K., & Dagher, A. (2015) · Appetite · doi:10.1016/j.appet.2015.03.004 · Cited by 200
“…of Structural Equation Modelling that is able to model the shared and unique variance of latent traits the questionnaires capture, and assess their independent contribution in predicting an outcome (e.g., Chen, Hayes, Carver, Laurenceau, & Zhang, 2012; Reise, 2012, see Methods section for details).”
BackgroundMorin, A. J. S., Boudrias, J., Marsh, H. W., Madore, I., & Desrumaux, P. (2016) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2015.1116077 · Cited by 183
“specific first-order factor, and are unlikely to hold in many real life situations (Reise, 2012).”
BackgroundMethodInfluentialCredé, M., & Harms, P. D. (2015) · Journal of Organizational Behavior · doi:10.1002/job.2008 · Cited by 181
Development and Validation of the Self-Compassion Scale for Youth
Neff, K. D., Bluth, K., Tóth‐Király, I., Davidson, O., Knox, M. C., Williamson, Z. H., & Costigan, A. (2020) · Journal of Personality Assessment · doi:10.1080/00223891.2020.1729774 · Cited by 219
“No cross-loadings were allowed and factors were orthogonal to one another as per typical bifactor specifications (Reise, 2012).”
BackgroundMorgan, G. B., Hodge, K. J., Wells, K. E., & Watkins, M. W. (2015) · Journal of Intelligence · doi:10.3390/jintelligence3010002 · Cited by 176
“Thus, the correlated factors model can be derived from a bi-factor model by constraining the general factor loadings to zero and relaxing the orthogonality constraint on the first-order factors [25].”
BackgroundMethodInfluentialUrbán, R., Kun, B., Farkas, J., Paksi, B., Kökönyei, G., Unoka, Z., Felvinczi, K., Oláh, A., & Demetrovics, Z. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.01.027 · Cited by 155
“Estimating the bifactor measurement structure is proposed to be an effective approach to modeling construct-relevant multidimensionality (Reise, 2012).”
MethodA multi-rater framework for studying personality: The trait-reputation-identity model.
McAbee, S. T., & Connelly, B. S. (2016) · Psychological Review · doi:10.1037/rev0000035 · Cited by 184
Development and evaluation of the Expressions of Moral Injury Scale— Military Version
Currier, J. M., Farnsworth, J. K., Drescher, K. D., McDermott, R. C., Sims, B. M., & Albright, D. L. (2018) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2170 · Cited by 168
Litalien, D., Morin, A. J. S., Gagné, M., Vallerand, R. J., Losier, G. F., & Ryan, R. M. (2017) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2017.06.010 · Cited by 163
Are fit indices used to test psychopathology structure biased? A simulation study
Greene, A. L., Eaton, N. R., Li, K., Forbes, M. K., Krueger, R. F., Markon, K. E., Waldman, I. D., Cicero, D. C., Conway, C. C., Docherty, A. R., et al. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000434 · Cited by 148
“…factors, and, most commonly, the specific factors are also parameterized to be orthogonal to one another (Brown, 2015; Holzinger & Swineford, 1937; Reise, 2012)—although bifactor models with correlated specific factors have sometimes been used (Carragher et al., 2016; Caspi, et al., 2014;…”
BackgroundInfluentialMorin, A. J. S., Arens, A. K., Tran, A., & Caci, H. M. (2015) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1485 · Cited by 159
On the Complexity of Item Response Theory Models
Bonifay, W. E., & Cai, L. (2017) · Multivariate Behavioral Research · doi:10.1080/00273171.2017.1309262 · Cited by 152
“The bifactor model has enjoyed a resurgence of late (Reise, 2012), partly because of its strong performance in a number of model comparison studies.”
BackgroundInfluentialLongitudinal Model Building Using Latent Transition Analysis: An Example Using School Bullying Data
Ryoo, J. H., Wang, C., Swearer, S. M., Hull, M., & Shi, D. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00675 · Cited by 153
Pagliaccio, D., Luking, K. R., Anokhin, A. P., Gotlib, I. H., Hayden, E. P., Olino, T. M., Peng, C.-Z., Hajcak, G., & Barch, D. M. (2015) · Psychological Assessment · doi:10.1037/pas0000186 · Cited by 161
“For example, we did not pursue hierarchical or bifactor models (for current guidelines, see Canivez ( in press ); Reise (2012)) currently, but given the observed factor correlations (see Supplement) this could be an interesting avenue for future investigation.”
Protean and boundaryless career orientations: A critical review and meta-analysis.
Wiernik, B. M., & Kostal, J. W. (2019) · Journal of Counseling Psychology · doi:10.1037/cou0000324 · Cited by 182
Wallace, T. L., Kelcey, B. M., & Ruzek, E. A. (2016) · American Educational Research Journal · doi:10.3102/0002831216671864 · Cited by 151
“Bifactor models have been rediscovered as a viable alternative structural representation of multiple types of higher order and multidimensional factor structures (Reise, 2012).”
BackgroundCognitive-emotional processing in alexithymia: an integrative review
Luminet, O., Nielson, K. A., & Ridout, N. (2021) · Cognition & Emotion · doi:10.1080/02699931.2021.1908231 · Cited by 149
Riskier Tests of the Validity of the Bifactor Model of Psychopathology
Watts, A. L., Poore, H. E., & Waldman, I. D. (2019) · Clinical Psychological Science · doi:10.1177/2167702619855035 · Cited by 157
“Such findings are more consistent, rather, with the p factor reflecting an amalgam of differentially weighted and psychologically distinct sources of variance (Krueger et al., 2018; Reise, 2012).”
BackgroundResultMonteiro, V., Mata, L., & Peixoto, F. (2015) · Psicologia Reflexão e Crítica · doi:10.1590/1678-7153.201528302 · Cited by 164
Bifactor structure of the Wechsler Preschool and Primary Scale of Intelligence—Fourth Edition.
Watkins, M. W., & Beaujean, A. A. (2013) · School Psychology Quarterly · doi:10.1037/spq0000038 · Cited by 148
Hoyle, R. H., Davisson, E. K., Diebels, K. J., & Leary, M. R. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.03.043 · Cited by 140
Huyghebaert‐Zouaghi, T., Ntoumanis, N., Berjot, S., & Gillet, N. (2020) · Journal of Career Assessment · doi:10.1177/1069072720978792 · Cited by 146
“Bifactor ESEM models were specified as their bifactor CFA counterparts, although all cross-loadings involving the S-factors were freely estimated but assigned a target value of zero using an orthogonal bifactor target rotation procedure (Reise, 2012).”
MethodAguado, J., Luciano, J. V., Cebolla, A., Serrano-Blanco, A., Soler, J., & García-Campayo, J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00404 · Cited by 137
“In a confirmatory Frontiers in Psychology | www.frontiersin.org 2 April 2015 | Volume 6 | Article 404 bifactor analysis (CBFA), two types of latent factors are defined (Reise, 2012).”
BackgroundInfluentialBonifay, W. E., Reise, S. P., Scheines, R., & Meijer, R. R. (2015) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.938596 · Cited by 139
“In this research, our working model of multidimensionality is a bifactor structure (Holzinger & Swineford, 1937)—a multidimensional structure wherein measured variables reflect a single common trait (typically the primary dimension of interest to the researcher) and additional orthogonal group factors that typically a…”
BackgroundMethodSelf-citationBurke, J. D., Boylan, K., Rowe, R., Duku, E., Stepp, S. D., Hipwell, A. E., & Waldman, I. D. (2014) · Journal of Abnormal Psychology · doi:10.1037/a0037898 · Cited by 150
“It is well-suited for representing the “construct-relevant multidimensionality” arising when a broad construct includes conceptually narrow subdomain constructs (Reise, 2012).”
Tóth‐Király, I., Bőthe, B., Rigó, A., & Orosz, G. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01968 · Cited by 152
“Instead, whenmulticollinearity is present, a bifactor solution (Reise, 2012) should be pursued which might be able to explain the high associations between the factors.”
BackgroundThe role of cost in adolescent students' maladaptive academic outcomes
Jiang, Y., Kim, S., & Bong, M. (2020) · Journal of School Psychology · doi:10.1016/j.jsp.2020.08.004 · Cited by 159
The structure of the General Health Questionnaire (GHQ-12): two meta-analytic factor analyses
Gnambs, T., & Staufenbiel, T. (2018) · Health Psychology Review · doi:10.1080/17437199.2018.1426484 · Cited by 137
“Among them were several rarely examined bifactor structures (cf. Reise, 2012) that allowed for facet-specific residual variations beyond a general factor common to all 12 items.”
BackgroundInfluentialA Critical Evaluation of the Reflective Functioning Questionnaire (RFQ)
Müller, S., Wendt, L. P., Spitzer, C., Masuhr, O., Back, S. N., & Zimmermann, J. (2022) · Journal of Personality Assessment · doi:10.1080/00223891.2021.1981346 · Cited by 138
“Second, bifactor models with uncorrelated general and specific factors allow for a clear partitioning of variance in the presence of multidimensionality and a strong general factor (Reise, 2012), as is the case for the PID-5-BF, IPO-16, and OPD-SQS (Zimmermann et al., 2020).”
BackgroundChiarotto, A., Ostelo, R., Boers, M., & Terwee, C. B. (2017) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2017.11.005 · Cited by 141
The Cambridge Handbook of Personality Psychology
(2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822 · Cited by 148
Cai, L., Choi, K., Hansen, M. H., & Harrell, L. (2016) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-041715-033702 · Cited by 134
Brikell, I., Larsson, H., Lu, Y., Pettersson, E., Chen, Q., Kuja-Halkola, R., Karlsson, R., Lahey, B. B., Lichtenstein, P., & Martin, J. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0109-2 · Cited by 126
Perreira, T. A., Morin, A. J. S., Hebert, M., Gillet, N., Houle, S. A., & Berta, W. (2018) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2017.12.004 · Cited by 130
“, commitment to the organization, the workgroup, the supervisor), and all factors are set to be orthogonal (Gignac, 2016; Morin, Arens, & Marsh, 2016; Reise, 2012).”
BackgroundMethodInfluentialSelecting the “Best” Factor Structure and Moving Measurement Validation Forward: An Illustration
Schmitt, T. A., Sass, D. A., Chappelle, W. L., & Thompson, W. T. (2018) · Journal of Personality Assessment · doi:10.1080/00223891.2018.1449116 · Cited by 148
“It is worth noting that bifactor models only have first-order factors, which is distinct from second-order factor models (Canivez, 2016; Reise, 2012).”
BackgroundThomas, M. L., Bangen, K. J., Palmer, B. W., Martin, A. S., Avanzino, J. A., Depp, C. A., Glorioso, D., Daly, R. E., & Jeste, D. V. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.09.005 · Cited by 140
“Reliability was determined using both an index of variance associated with all common (non-error) factors (omega; ω), and an index of variance associated with the general wisdom factor (omega hierarchical; ωH) (McDonald, 1999; Reise, 2012; Reise et al., 2010).”
MethodZimmermann, J., Boehnke, J. R., Eschstruth, R., Mathews, A., Wenzel, K., & Leising, D. (2015) · Journal of Abnormal Psychology · doi:10.1037/abn0000059 · Cited by 127
Scherer, R., Nilsen, T., & Jansen, M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00110 · Cited by 130
“…(ESEM) is a new modeling framework that specifically deals with cross-loadings (Marsh et al., 2009, 2014), bifactor modeling which is available both within the traditional CFA and the ESEM framework differentiates between general and specific factors of constructs (Chen et al., 2012; Reise, 2012).”
BackgroundMethodInfluentialReis, D., Lehr, D., Heber, E., & Ebert, D. D. (2019) · Assessment · doi:10.1177/1073191117715731 · Cited by 127
“Perceived Stress Scale, bifactor modeling, measurement invariance alternative for modeling multidimensionality (Chen, West, & Sousa, 2006; Reise, 2012).”
Influential
Metadata
- Authors
- Reise, S. P.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Reise, Steven P.
- ORCID
- Reise, Steven P.
- Venue
- Multivariate Behavioral Research
- Publisher
- Informa UK Limited
- Published
- 2012-09
- Volume
- 47
- Issue
- 5
- Pages
- 667-696
- ISSN
- 0027-3171 (ISSN-L)
- 1532-7906
- PMC
- PMC3773879
- OpenAlex
- W2025929695
- Cited by
- 2,112
- References
- 70
- Citations by year
- 2026: 203 · 2025: 113 · 2024: 134 · 2023: 174 · 2022: 165 · 2021: 200 · 2020: 222 · 2019: 181 · 2018: 203 · 2017: 175 · 2016: 139 · 2015: 98 · 2014: 68 · 2013: 32 · 2012: 4
- FWCI
- 85.93
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Multivariate Behavioral Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Drug Abuse (RL1DA024853)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (U01AR052177)
- National Institute of Dental and Craniofacial Research (UL1DE019580)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Keywords
- bifactor model, multidimensionality, general factor, parameter invariance, nested models, construct measurement, psychometric properties
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