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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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“For example, the explained common variance (ECV; Reise, 2012) was higher for the specific factors, ECV = 0.53, than the bifactor, ECV = 0.47; the worst split-half reliability (Revelle, 1979) was higher for individual subscales, β = 0.71 to 0.84, than the bifactor, β = 0.64 (Table S2).”
BackgroundInfluentialMoreira, H., Gouveia, M. J., & Canavarro, M. C. (2020) · Current Psychology · doi:10.1007/s12144-019-00602-5 · Cited by 104
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“A psychometric analysis can furthermore discern unique information from facets that the total score cannot provide (e.g., bifactor modeling; Reise 2012).”
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“In a bi-factor model, a general factor is used to load onto all items and two additional factors are used to model the residual covariation among the items that is not captured by the general factor (Reise 2012).”
MethodBukenaite, A., Štochl, J., Mossaheb, N., Schäfer, M. R., Klier, C. M., Becker, J., Schloegelhofer, M., Papageorgiou, K., Montejo, A. L., Russo, D. A., et al. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.02.017 · Cited by 75
“…three-correlated factormodel: [1] Two-correlated factors where the first factor is identical to PI and the second one is comprised of BE and PA items; [2] a unidimensional model; and [3] a bifactor model (Reise, 2012) with a general factor (G factor) and three specific factors for PI, BE and PA.”
BackgroundInfluentialSon, D., & Padilla-Walker, L. M. (2020) · Journal of Happiness Studies · doi:10.1007/s10902-019-00154-2 · Cited by 73
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“As an alternative, a bifactor approach (Reise, 2012; Rodriguez, Reise, & Haviland, 2016) provides a way to model a general factor and speci fi c factors simultaneously by disaggregating the total item covariance matrix into global and speci fi c components.”
MethodTrizano-Hermosilla, Í., Gálvez-Nieto, J. L., Alvarado, J. M., Sáiz, J. L., & Salvo-Garrido, S. I. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.508287 · Cited by 78
“The so-called bifactor model is the most recommended procedure (Reise, 2012; Rodriguez et al., 2016) to evaluate the essential unidimensionality of a multi-item measure.”
BackgroundMethodInfluentialMyers, N. D., Martin, J. J., Ntoumanis, N., Çelimli, Ş., & Bartholomew, K. J. (2014) · Sport Exercise and Performance Psychology · doi:10.1037/spy0000015 · Cited by 77
“More substantive explanations may include the conceptualization of a general factor and group 64 factors that are orthogonal (Reise, 2012).”
InfluentialSchroeders, U., Kubera, F., & Gnambs, T. (2022) · Assessment · doi:10.1177/10731911211033894 · Cited by 76
“Bifactor models were initially developed in intelligence research (Holzinger & Swineford, 1939), but have recently experienced a renaissance as an important structural representation of multidimensionality beneath a unidimensional construct (Reise, 2012; Reise et al., 2010).”
MethodPurpura, D. J., King, Y. A., Rolan, E. P., Hornburg, C. B., Schmitt, S. A., Hart, S. A., & Ganley, C. M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01925 · Cited by 91
“For more detailed descriptions of bifactor models, see Reise (2012).”
BackgroundHeinrich, M., Zagorscak, P., Eid, M., & Knaevelsrud, C. (2018) · Assessment · doi:10.1177/1073191118803738 · Cited by 81
Moore, T. M., Kaczkurkin, A. N., Durham, E. L., Jeong, H. J., McDowell, M. G., Dupont, R. M., Applegate, B., Tackett, J. L., Cardenas-Iniguez, C., Kardan, O., et al. (2020) · Journal of Abnormal Psychology · doi:10.1037/abn0000601 · Cited by 72
A framework for executive function in the late elementary years.
Cirino, P. T., Ahmed, Y., Miciak, J., Taylor, W. P., Gerst, E. H., & Barnes, M. A. (2018) · Neuropsychology · doi:10.1037/neu0000427 · Cited by 71
“…with both the general factor and with one another; correlations among measures from the same latent variable arise from the general and specific factors, whereas correlations among measures from different factors arise from the general (EF) factor only (Holzinger & Swineford, 1937; Reise, 2012).”
BackgroundBurnout: Redefining its key symptoms
Tavella, G., Hadži-Pavlović, D., & Parker, G. B. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.114023 · Cited by 79
A critical evaluation of the p-factor literature
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“…factors reflect the variance shared among their indicators after taking into account what they share with the general factor of psychopathology 127 Typically associated with relatively good model fit compared with other models, but strong fit does not indicate that the model is an adequate or…”
Development and evaluation of the Internalized Racism in Asian Americans Scale (IRAAS)
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Bifactor Modelling and the Evaluation of Scale Scores
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Self-citationHatcher, R. L., Lindqvist, K., & Falkenström, F. (2020) · Psychotherapy Research · doi:10.1080/10503307.2019.1677964 · Cited by 72
“In other words, the general factor explained between 81% and 90% of variance for each of the three subscales, indicating that they were essentially unidimensional (Reise & Haviland, 2005). A two-level (between therapists and patients within therapists), two parameter logistic (2PL) model was applied to each of the thr…”
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Ahlen, J., Vigerland, S., & Ghaderi, A. (2018) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-017-9637-3 · Cited by 69
“Calculating the omega hierarchical thus helps to clarify the feasibility of group factors in the model, as well as assess how item content mainly reflects a general factor of anxiety, a specific group factor, or both (Reise et al. 2010; Reise 2012).”
BackgroundMethodValidation of a Spanish Version of the Mental Health Continuum-Short Form Questionnaire.
Echeverría, G., Torres, M., Pedrals, N., Padilla, O., Rigotti, A., & Bitran, M. (2017) · Psicothema · doi:10.7334/psicothema2016.3 · Cited by 56
“A bifactor model consists of one overall factor and many domainspecifi c factors, such that each item loads both on the general factor as well as on one of the domain-specifi c factors (Reise, 2012) (see fi g. 1).”
InfluentialFactor Structure of the 10 WISC-V Primary Subtests Across Four Standardization Age Groups
Dombrowski, S. C., Canivez, G. L., & Watkins, M. W. (2018) · Contemporary School Psychology · doi:10.1007/s40688-017-0125-2 · Cited by 68
“Many of these estimates fell far below the minimum threshold (.50) suggested by Reise (2012) and Reise et al. (2013) for confident clinical interpretation due to capturing too little unique true score variance once g variance was removed.”
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Factor structure models of the SCL-90-R: Replicability across community samples of adolescents
Preti, A., Carta, M. G., & Петретто, Д. Р. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.12.146 · Cited by 71
What Is the General Factor of Psychopathology? Consistency of the p Factor Across Samples
Levin-Aspenson, H. F., Watson, D., Clark, L. A., & Zimmerman, M. A. (2020) · Assessment · doi:10.1177/1073191120954921 · Cited by 73
“…a bifactor model without demonstrating that the same general factor is being measured regardless of reasonable variations in content (Eid et al., 2017; Reise, 2012), particularly when it has not yet been investigated whether a p factor composed of the same indicators is consistent across samples.”
BackgroundInfluentialA Bifactor Model of Anxiety Sensitivity: Analysis of the Anxiety Sensitivity Index-3
Ebesutani, C. K., McLeish, A. C., Luberto, C. M., Young, J. N., & Maack, D. J. (2013) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-013-9400-3 · Cited by 72
Kretzschmar, A., Neubert, J., Wüstenberg, S., & Greiff, S. (2015) · Intelligence · doi:10.1016/j.intell.2015.11.004 · Cited by 67
Challenges to the Cattell-Horn-Carroll Theory: Empirical, Clinical, and Policy Implications
Canivez, G. L., & Youngstrom, E. A. (2019) · Applied Measurement in Education · doi:10.1080/08957347.2019.1619562 · Cited by 67
“Coefficients omega-hierarchical (ωH) and omega-hierarchical subscale (ωHS) are estimates of reliability for composite scores produced by the particular subtest groupings (Reise, 2012; Rodriguez, Reise, & Haviland, 2016; Watkins, 2017).”
BackgroundMethodKyriazos, T. A., Stalikas, A., Prassa, K., & Yotsidi, V. (2018) · Psychology · doi:10.4236/psych.2018.95069 · Cited by 72
Canivez, G. L. (2016) · The Keep (Eastern Illinois University) · Cited by 67
Boateng, G. O., Collins, S. M., Mbullo, P., Wekesa, P., Onono, M., Neilands, T. B., & Young, S. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198591 · Cited by 68
“However, the scores on the dominant factor were comparatively higher than the second factor, supporting a single dominant factor [84,85,96].”
BackgroundMethodLongo, Y., Jovanović, V., de Carvalho, J. S., & Karaś, D. (2017) · Assessment · doi:10.1177/1073191117748394 · Cited by 66
“In a bifactor model, each item loads on both a general factor and a specific factor (Reise, 2012).”
BackgroundDvorsky, M. R., Kofler, M. J., Burns, G. L., Luebbe, A. M., Garner, A. A., Jarrett, M. A., Soto, E. F., & Becker, S. P. (2018) · Journal of Youth and Adolescence · doi:10.1007/s10964-018-0938-y · Cited by 74
“09 (see Table 4), indicating that when examined in a bifactor structure, the PYD factor predominantly reflects one common source even when multidimensional factors are present (Reise 2012).”
BackgroundMethodZhang, B., Sun, T., Cao, M., & Drasgow, F. (2020) · Organizational Research Methods · doi:10.1177/1094428120915522 · Cited by 69
“However, the use of BiMs lain dormant for nearly 50 years (Reise, 2012).”
BackgroundInfluentialEntwicklung und Validierung der Online-Privatheitskompetenzskala (OPLIS)
Masur, P. K., Teutsch, D., & Trepte, S. (2017) · Diagnostica · doi:10.1026/0012-1924/a000179 · Cited by 65
“…interessiert, gibt es zwei Möglichkeiten, eine entsprechende Datenstruktur zu schätzen (vgl. Holzinger & Swineford, 1937; Chen, West & Sousa, 2006; Reise, 2012): Second-Order-Modelle, die über den spezifischen Faktoren einen globalen Faktor annehmen, der für die Interkorrelationen zwischen den…”
BackgroundKrijgsman, C., Mainhard, T., van Tartwijk, J., Borghouts, L. B., Vansteenkiste, M., Aelterman, N., & Haerens, L. L. (2019) · Learning and Instruction · doi:10.1016/j.learninstruc.2018.12.005 · Cited by 76
“Internal consistency was calculated with coefficient omega (Dunn, Baguley, & Brunsden, 2014), which can be interpreted analogously to coefficient alpha (Reise, 2012), yet has less risk of overestimating or underestimating reliability (Dunn et al., 2014).”
MethodSatisfying Newcomers’ Needs: The Role of Socialization Tactics and Supervisor Autonomy Support
Chong, J. X. Y., Beenen, G., Gagné, M., & Dunlop, P. D. (2020) · Journal of Business and Psychology · doi:10.1007/s10869-019-09678-z · Cited by 78
A Closed-Form Alternative for Estimating ω Reliability under Unidimensionality
Hancock, G. R., & An, J. (2020) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2019.1656049 · Cited by 65
“…hierarchical ω, for an instrument undergirded by a hierarchical factor model in which an observed score is not only a function of a general factor common to all scale items but also of group factors common to some but not all items (see also, Reise, 2012; Reise, Bonifay, & Haviland, 2013).”
MethodEstimating reliability coefficient for multidimensional measures: A pedagogical illustration
Widhiarso, W., & Ravand, H. (2014) · Hrčak Portal of scientific journals of Croatia (University Computing Centre) · Cited by 65
Pettersson, E., Lahey, B. B., Larsson, H., & Lichtenstein, P. (2018) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.12.016 · Cited by 72
Jardin, C., Paulus, D. J., Garey, L., Kauffman, B. Y., Bakhshaie, J., Manning, K. F., Mayorga, N. A., & Zvolensky, M. J. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.07.007 · Cited by 66
“In addition to estimating ωH for the general factor and each subfactor, the omega index was also estimated, which described the total amount of variance accounted for by the general factor and all three subfactors together (Reise, 2012).”
MethodVariable control and conceptual change: A large-scale quantitative study in elementary school
Edelsbrunner, P. A., Schalk, L., Schumacher, R., & Stern, E. (2018) · Learning and Individual Differences · doi:10.1016/j.lindif.2018.02.003 · Cited by 72
“A bi-factor analysis corroborated the use of a composite score (Reise, 2012).”
MethodOlino, T. M., Bufferd, S. J., Dougherty, L. R., Dyson, M. W., Carlson, G. A., & Klein, D. N. (2018) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-018-0398-6 · Cited by 67
“common and specific factors to zero) that may be too restrictive in accurately describing the data (Bonifay et al. 2018; Reise 2012; Widiger and Oltmanns 2018).”
On the replication of factor structures of the Positive and Negative Affect Schedule (PANAS)
Seib‐Pfeifer, L., Pugnaghi, G., Beauducel, A., & Leue, A. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.11.053 · Cited by 68
Evaluation of the Children’s Depression Inventory—Short Version (CDI–S).
Åhlén, J., & Ghaderi, A. (2016) · Psychological Assessment · doi:10.1037/pas0000419 · Cited by 69
“Despite evidence of multidimension- ality, the interpretation of subscale scores does not necessarily provide reliable information about the group factor (Brouwer, Meijer, & Zevalkink, 2013; Reise, 2012).”
BackgroundA Primer on Moderated Mediation Analysis: Exploring Logistics Involvement in New Product Development
Calantone, R. J., Whipple, J. M., Wang, Y., Sardashti, H., & Miller, J. W. (2017) · Journal of Business Logistics · doi:10.1111/jbl.12166 · Cited by 66
Individual differences in object recognition.
Richler, J. J., Tomarken, A. J., Sunday, M. A., Vickery, T. J., Ryan, K. F., Floyd, R. J., Sheinberg, D. L., Wong, A. C. ‐., & Gauthier, L. (2019) · Psychological Review · doi:10.1037/rev0000129 · Cited by 68
“A popular alternative to the second-order factor model is a bifactor model (e.g., Chen, West, & Sousa, 2006; Reise, 2012).”
Stability and Change: The Dark Factor of Personality Shapes Dark Traits
Zettler, I., Moshagen, M., & Hilbig, B. E. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550620953288 · Cited by 72
“The ECV is defined as the ratio of variance explained in the items by D to the variance explained by D and the respective specific factor (Reise, 2012).5 To determine rank-order stability and mean-level change for the dark traits, we estimated standard congeneric confirmatory factor models.”
BackgroundMethodInfluentialPart, R., Perera, H. N., Marchand, G. C., & Bernacki, M. L. (2020) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2020.101875 · Cited by 70
Korucu, I., Aytürk, E., Finders, J. K., Schnur, G., Bailey, C. S., Tominey, S. L., & Schmitt, S. A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.717317 · Cited by 95
“…second order models and allowed us to examine unique relations between the domain-specific factors with outcome variables above and beyond the general factor using standard SEM (since they are represented as latent factors as opposed to disturbances in the model; Chen et al., 2006; Reise, 2012).”
BackgroundMethodInfluentialSample Size Requirements for Bifactor Models
Bader, M., Jobst, L. J., & Moshagen, M. (2022) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2021.2019587 · Cited by 63
“…recent years, there has been a major upsurge of interest in the bifactor model as a specific type of confirmatory factor analysis (CFA) model (Reise, 2012; Zhang et al., 2021).1 Across a broad range of disciplines, bifactor models are now routinely applied to study the latent structure of…”
BackgroundGu, H., Wen, Z., & Fan, X. (2015) · Personality and Individual Differences · doi:10.1016/j.paid.2015.04.006 · Cited by 62
Introduction to bifactor polytomous item response theory analysis
Toland, M. D., Sulis, I., Giambona, F., Porcu, M., & Campbell, J. M. (2016) · Journal of School Psychology · doi:10.1016/j.jsp.2016.11.001 · Cited by 62
Gervais, S. J., Davidson, M. M., Styck, K. M., Canivez, G. L., & DiLillo, D. (2017) · Psychology of Violence · doi:10.1037/vio0000148 · Cited by 62
Phua, D. Y., Kee, M. Z. L., Koh, D. X. P., Rifkin‐Graboi, A., Daniels, M., Chen, H., Chong, Y. S., Broekman, B. F. P., Magiati, I., Karnani, N., et al. (2017) · Development and Psychopathology · doi:10.1017/s0954579417001249 · Cited by 68
“4% were explained by the subfactors, which corroborated with the results that maternal mental health during pregnancy was multidimensional (Reise, 2012).”
ResultInfluentialDeutz, M. H. F., Geeraerts, S. B., Belsky, J., Deković, M., van Baar, A. L., Prinzie, P., & Patalay, P. (2019) · Child Psychiatry & Human Development · doi:10.1007/s10578-019-00916-2 · Cited by 73
Eid, M. (2020) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-020-00624-9 · Cited by 67
“Although the model is more than 80 years old (Holzinger and Swineford 1937) it has been leading a niche existence for a long time and was rediscoverd only about ten years ago (Eid et al. 2017; Reise 2012).”
MethodMcLarnon, M. J. W., & Tarraf, R. C. (2017) · Personality and Individual Differences · doi:10.1016/j.paid.2017.02.049 · Cited by 61
Using the Depression, Anxiety, Stress Scales–21 With U.S. Adolescents: An Alternate Models Analysis
Moore, S. A., Dowdy, E., & Furlong, M. J. (2017) · Journal of Psychoeducational Assessment · doi:10.1177/0734282916651537 · Cited by 61
“Omega coefficients and explained common variance (ECV) were calculated for the bifactor model with three specific factors to further assess the unidimensionality of the DASS–21 (Reise, 2012; Rodriguez, Reise, & Haviland, 2016).”
MethodLui, P. P., & Fernando, G. A. (2017) · Psychological Reports · doi:10.1177/0033294117720696 · Cited by 79
Arias, V. B., Ponce, F. P., & Núñez, D. (2016) · Assessment · doi:10.1177/1073191116679260 · Cited by 63
“, 2006) and the coefficient omega subscale (ω S ; Reise, 2012) of G ih , IN s , and HI s (B3F models), and impulsivity in the case of the models with three specific factors (B4F models).”
BackgroundMethodInfluentialTiego, J., Bellgrove, M. A., Whittle, S., Pantelis, C., & Testa, R. (2019) · Developmental Science · doi:10.1111/desc.12918 · Cited by 68
“5%), and could therefore be collapsed into a unidimensional measure without introducing bias in the model (Reise, 2012; Reise et al., 2013; Rodriguez et al., 2016).”
BackgroundMethodInfluentialWeyn, S., Leeuwen, K. G. V., Pluess, M., Lionetti, F., Greven, C. U., Goossens, L., Colpin, H., Noortgate, W. V. D., Verschueren, K., Bastin, M., et al. (2019) · Current Psychology · doi:10.1007/s12144-019-00254-5 · Cited by 63
A longitudinal perspective on the associations between work engagement and workaholism
Tóth‐Király, I., Morin, A. J. S., & Salmela‐Aro, K. (2020) · Work & Stress · doi:10.1080/02678373.2020.1801888 · Cited by 59
Wong, Y. J., Kim, B. S. K., Nguyen, C., Cheng, J. K. Y., & Saw, A. (2013) · Journal of Counseling Psychology · doi:10.1037/a0034681 · Cited by 59
“eral factor (Reise, 2012).”
Investigation of a bifactor model of the Strengths and Difficulties Questionnaire
Caci, H. M., Morin, A. J. S., & Tran, A. (2015) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-015-0679-3 · Cited by 73
“This could partly be related to the reliance on higher-order factor models over bifactor models [13, 15, 18].”
BackgroundUniversity students' need satisfaction trajectories: A growth mixture analysis
Gillet, N., Morin, A. J. S., Huyghebaert, T., Burger, L., Maillot, A., Poulin, A., & Tricard, E. (2019) · Learning and Instruction · doi:10.1016/j.learninstruc.2017.11.003 · Cited by 57
“The measurement models for the need satisfaction variables were estimated using bifactor confirmatory factor analyses (Holzinger & Swineford, 1937; Reise, 2012).”
MethodForster, D. E., Billingsley, J., Russell, V. M., McCauley, T. G., Smith, A., Burnette, J. L., Ohtsubo, Y., Schug, J., Lieberman, D., & McCullough, M. E. (2020) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000227 · Cited by 57
Menold, N. (2020) · Journal of Official Statistics · doi:10.2478/jos-2020-0041 · Cited by 43
“Because of the reversed formulation of the items for each sub-factor, Aichholzer and Zeglovits (2015) also modeled a latent “method” variable that claimed for potential acquiescence bias (the “bi-factor model”, Reise 2012).”
MethodDevelopment of the PROMIS® Nicotine Dependence Item Banks
Shadel, W. G., Edelen, M. O., Tucker, J. S., Stucky, B. D., Hansen, M. H., & Cai, L. (2014) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntu032 · Cited by 57
“Furthermore, in the exploratory subsample, the test-level explained common variance (ECV; Reise, 2012) associated with the nicotine dependence (general) factor increased substantially from 0.72 to 0.86 indicating a more strongly unidimensional model.”
InfluentialCanivez, G. L., McGill, R. J., Dombrowski, S. C., Watkins, M. W., Pritchard, A. E., & Jacobson, L. A. (2020) · Assessment · doi:10.1177/1073191118811609 · Cited by 53
Exploratory and hierarchical factor analysis of the WJ-IV Cognitive at school age.
Dombrowski, S. C., McGill, R. J., & Canivez, G. L. (2016) · Psychological Assessment · doi:10.1037/pas0000350 · Cited by 56
The Psychometric Modeling of Scientific Reasoning: a Review and Recommendations for Future Avenues
Edelsbrunner, P. A., & Dablander, F. (2018) · Educational Psychology Review · doi:10.1007/s10648-018-9455-5 · Cited by 64
Chilcot, J., Hudson, J. L., Moss-Morris, R., Carroll, A., Game, D., Simpson, A., & Hotopf, M. (2018) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2017.09.007 · Cited by 77
Validation of a Google Street View-Based Neighborhood Disorder Observational Scale
Marco, M., Enrique Gracia, A., Martín-Fernández, M., & López‐Quílez, A. (2017) · Journal of Urban Health · doi:10.1007/s11524-017-0134-5 · Cited by 55
“The model revealed also a general neighborhood disorder dimension that explained all the shared variance not captured by the specific dimensions [42].”
BackgroundSkogen, J. C., Øverland, S. N., Smith, O. R. F., & Aarø, L. E. (2017) · Scandinavian Journal of Public Health · doi:10.1177/1403494817700287 · Cited by 55
“Further, a bi-factor approach can also be used to determine whether the specific subscales are justified, and how reliable they are after taking the general factor into account [17], an opportunity missed by previous studies investigating the factor structure of HSCL-25.”
InfluentialKoch, T., Holtmann, J., Bohn, J., & Eid, M. (2017) · Psychological Methods · doi:10.1037/met0000146 · Cited by 63
“In applications of the bifactor models, it is typically assumed that the specific factors are “residualized factors” (Reise, 2012, p. 691).”
BackgroundMethodInfluentialGillet, N., Caesens, G., Morin, A. J. S., & Stinglhamber, F. (2019) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2019.1575364 · Cited by 61
“…ratio of variance explained by the global factor (work engagement) relative to that explained by the specific factors (vigour, dedication, and absorption) is forced to be exactly the same for all items associated with a specific first-order factor (Gignac, 2016; Morin et al., 2016; Reise, 2012).”
BackgroundMethodHeinrich, M., Geiser, C., Zagorscak, P., Burns, G. L., Bohn, J., Becker, S. P., Eid, M., Beauchaine, T. P., & Knaevelsrud, C. (2021) · Assessment · doi:10.1177/10731911211060298 · Cited by 69
“Those correlations should, therefore, vanish when effects of the general factor are removed (Eid et al., 2017; Reise, 2012).”
BackgroundInfluentialMitchell, C. A. A., Maybery, M. T., Russell-Smith, S. N., Collerton, D., Gignac, G. E., & Waters, F. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01363 · Cited by 61
“Modality Subscales and Group Differences Relating to this latter point is the issue of whether the modality factors are viable as subscales, as the presence of multidimensionality does not necessarily warrant the creation of subscores (Reise, 2012).”
BackgroundCommunity Collectivism: A social dynamic approach to conceptualizing culture
Akkuş, B., Postmes, T., & Stroebe, K. E. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185725 · Cited by 54
“In order to do so we conducted bifactor analysis [62, 63] on Sample 1 using the Lavaan-package for R.”
MethodConnelly, B. S., McAbee, S. T., Oh, I., Jung, Y., & Jung, C.-W. (2021) · Journal of Applied Psychology · doi:10.1037/apl0000732 · Cited by 54
Teresi, J. A., Ocepek‐Welikson, K., Kleinman, M., Ramirez, M. M., & Kim, G. (2016) · PubMed · Cited by 54
Evaluation of the Strengths and Difficulties Questionnaire-Dysregulation Profile (SDQ-DP).
Deutz, M. H. F., Shi, Q., Vossen, H. G. M., Huijding, J., Prinzie, P., Deković, M., van Baar, A. L., & Woltering, S. (2018) · Psychological Assessment · doi:10.1037/pas0000564 · Cited by 56
“…ly fo r th e pe rs on al us e of th e in di vi du al us er an d is no t to be di ss em in at ed br oa dl y. recently been rediscovered as an effective approach to examine multidimensionality, that is, determining whether a set of items (symptoms) reflect a common underlying construct (Reise, 2012).”
Immekus, J. C., Snyder, K. E., & Ralston, P. A. S. (2019) · Frontiers in Education · doi:10.3389/feduc.2019.00045 · Cited by 54
“In recent years, within educational Frontiers in Education | www.frontiersin.org 7 May 2019 | Volume 4 | Article 45 (Gibbons and Hedeker, 1992) and psychological (e.g., Gibbons et al., 2007) literature, the bifactor structure has garnered increased attention (see Model D; Reise, 2012).”
BackgroundAgreeableness and the common core of dark traits are functionally different constructs
Moshagen, M., Zettler, I., Horsten, L. K., & Hilbig, B. E. (2020) · Journal of Research in Personality · doi:10.1016/j.jrp.2020.103986 · Cited by 54
Assessment of Fear of COVID-19 in Older Adults: Validation of the Fear of COVID-19 Scale
Caycho‐Rodríguez, T., Tomás, J. M., Barboza-Palomino, M., Ventura‐León, J., Gallegos, M., Reyes-Bossio, M. A., & Vilca, L. W. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00438-2 · Cited by 53
“However, the two-factor model may have limitations to capture multidimensionality of fear of COVID-19, because the variance of every item may be associated to both a global factor and simultaneously to a specific factor (Reise 2012).”
BackgroundMethodSánchez, J., Estrada‐Hernández, N., Booth, J., & Pan, D. (2021) · Psychology and Psychotherapy Theory Research and Practice · doi:10.1111/papt.12336 · Cited by 66
Impulsivity is a stable, measurable, and predictive psychological trait
Huang, Y., Luan, S., Wu, B., Li, Y., Wu, J., Chen, W., & Hertwig, R. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2321758121 · Cited by 68
“A bifactor model encompasses both the broad and the narrow concepts of an underlying construct by establishing a general factor and several specific factors (46).”
Jovanović, V. (2015) · Personality and Individual Differences · doi:10.1016/j.paid.2015.07.026 · Cited by 53
“The bifactor model consists of one general factor and a number of specific factors, allowing each item to load both on the general factor and specific factor (Reise, 2012).”
BackgroundMethodNúñez, D., Arias, V. B., Vogel, E. H., & Gómez, L. E. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.04.018 · Cited by 54
A General Approach for Fitting Pure Exploratory Bifactor Models
Lorenzo‐Seva, U., & Ferrando, P. J. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1484339 · Cited by 53
“Finally, there is the most general problem of the nonnegligible small cross-loadings that are forced to be zero, a restriction which is a potential source of misfit and biased parameter estimates in CFA applications (Ferrando & Lorenzo-Seva, 2000, Reise, 2012).”
BackgroundMethodKim, Y. G., Petscher, Y., & Vorstius, C. (2019) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2019.03.002 · Cited by 52
Modeling environment through a general exposome factor in two independent adolescent cohorts
Moore, T. M., Visoki, E., Argabright, S. T., DiDomenico, G. E., Sotelo, I., Wortzel, J. D., Naeem, A., Gur, R. C., Gur, R. E., Warrier, V., et al. (2022) · Exposome · doi:10.1093/exposome/osac010 · Cited by 60
Allan, N. P., Lonigan, C. J., & Phillips, B. M. (2015) · Journal of Personality Assessment · doi:10.1080/00223891.2015.1038388 · Cited by 52
“In contrast, bifactor models operate under the assumption that there is a general factor accounting for common variance among all items as well as factors that can be explained by common variance in item clusters, independent of the general factor (e.g., Chen, Hayes, Carver, Laurenceau, & Zhang, 2012; Reise, 2012).”
BackgroundLau, C., Stewart, S. L., Saklofske, D. H., & Hirdes, J. P. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.06.013 · Cited by 54
Quinn, H. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/t6ff-a088 · Cited by 59
Swigris, J. J., Andrae, D. A., Churney, T., Johnson, N., Scholand, M. B., White, E. S., Matsui, A., Raimundo, K., & Evans, C. J. (2020) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202002-0415oc · Cited by 53
“Total scores for both symptoms and impact modules were calculated according to variations of the bifactor model (22, 23), in which items all contribute to a general factor but are then bundled into so-called “testlets” to account for residual variance in the data.”
Brunet, J., Gunnell, K. E., Teixeira, P., Sabiston, C. M., & Bélanger, M. (2016) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.2016-0256 · Cited by 50
“The bifactor model approach may offer a viable analytical alternative to account for the dilemmas inherent in the general-and specific-factor approaches (Reise, 2012).”
BackgroundMethodInfluential
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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