The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
Principles and practice in reporting structural equation analyses.
Abstract
Principles for reporting analyses using structural equation modeling are reviewed, with the goal of supplying readers with complete and accurate information. It is recommended that every report give a detailed justification of the model used, along with plausible alternatives and an account of identifiability. Nonnormality and missing data problems should also be addressed. A complete set of parameters and their standard errors is desirable, and it will often be convenient to supply the correlation matrix and discrepancies, as well as goodness-of-fit indices, so that readers can exercise independent critical judgment. A survey of fairly representative studies compares recent practice with the principles of reporting recommended here.
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“The final valid questionnaires of this study were 219 cases, which satisfied the minimum requirement of the sample size of 200 people for structural equation modelling (McDonald and Ho 2002).”
From The Relationship Between Knowledge, Psychological Flexibility, Anxiety and Healthy Behaviour in Stroke Patients: A Chain Mediation Model. (2026) · cites this paper as McDonald and Ho 2002
In the citing paper
“Good model fit is indicated by χ ²/df below three, CFI and NNFI values greater than .90, and RMSEA and SRMR below .08 (Hu and Bentler 1999; McDonald and Ho 2002).”
From Awareness Versus Un-Clinging: Which Matters in Mindfulness? (2017) · cites this paper as McDonald and Ho 2002
Citations
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.3.588 · Cited by 20,015
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,944
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2072165 · Cited by 17,475
Research works printed but not linked: 13
- Arbuckle, 1997, Amos user's guide.
- Bentler, 1985, Theory and implementation of EQS: A structural equations program.
- Bentler, 1995, EQS structural equations programs manual.
- Hartmann, 1992, The CALIS procedure: Extended user's guide.
- Joreskog, 1996, LISREL 8: Users' reference guide.
- Lohmoller, 1981, LVPLS 1.6 program manual: Latent variables path analysis with partial least squares estimation.
- Mooijaart, 1993, Structural equation models with transformed variables., 249
- Muthen, 1998, Mplus user's guide.
- Neale, 1997, Mx: Statistical modeling
- Satorra, 1994, Corrections to standard errors in covariance structure analysis., 399
- Steiger, 1995, SEPATH: STATISTICA version 5.
- West, 1995, Structural equation models with non-normal variables., 56
- Wiley, 1973, The identification problem for structural equation models with unmeasured variables., 69
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“To evaluate the overall fit of these SEMs, we report the fit indices provided by Mplus: the chisquare test, Models with CFIs greater than .90, RMSEAs \ .08, and SRMRs \ .08 indicate good model fit (Hu and Bentler 1999; McDonald and Ho 2002).”
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“The model was identi fi ed given that each latent variable had at least two indicators (Bollen & Long, 1993; McDonald & Ho, 2002).”
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“A RMSEA value of .08 or lower is acceptable, and a value below .05 indicates a good fit (see McDonald & Ho, 2002).”
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“Based on modification indices, intercorrelations between error variables were again permitted (McDonald and Ho 2002; Byrne 2001).”
BackgroundMethodWen, Z., Marsh, H. W., & Hau, K. (2010) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705510903438872 · Cited by 112
“Even for typical applications in many commercially available software programs, appropriate standard errors for standardized effects might not have been provided (McDonald & Ho, 2002), indicating that the t values for testing standardized effects could be problematic.”
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“In evaluating the structural model, researchers recommend the use of several goodness-of-fit indices to assess the match between any particular model and the data (Klem, 2000; Kline, 2010; McDonald & Ho, 2002; Schumacker & Lomax, 2010).”
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“For RMSEA, values ≤.06 indicate a good model fit and values ≤.08 indicate acceptable fit (McDonald & Ho, 2002).”
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“…fit: the root mean square error of approximation (RMSeA), with values less than .08 indicative of an acceptable fit and values less than .05 indicative of a good fit (McDonald & Ho, 2002), and the comparative fit index (CFI), with values close to .95 indicative of a good fit (Hu & Bentler, 1999).”
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“This rotation appeared adequate, based on Thurstone’s (1964) criteria.”
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“05, and a v(2)/df less than three are indicators of good fit.(39,40) Multiple group path analysis was used to determine if the model differed between men and women.”
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“The comparative fit index (CFI; >0.90 for good fit) and the root mean square error of approximation (RMSEA; <0.05 for good fit) are also commonly used (McDonald and Ho 2002).”
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“Although the value of RMSEA was greater than .05, a number of researchers have suggested that values in the range of .05–.08 indicate reasonable fit (Browne & Cudeck, 1993; McDonald & Ho, 2002).”
BackgroundOptimism and proactive coping in relation to burnout among nurses
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“All analyses met the following statistical criteria (McDonald & Ho, 2002): the root mean square error of approximation <0.08, the comparative fit index >0.95, the Tucker-Lewis index >0.95, and the standardized root mean square residual 0.07.”
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“We employed maximum likelihood estimation procedures, because the data did not strongly violate multivariate normality assumptions (McDonald & Ho, 2002).”
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“)? However, prior to discussing the obtained results, we are also sensitive to the need for demonstrating the reliability and validity of our measures, and recent calls for increasing the information supplied with SEM results ( McDonald and Ho, 2002”
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“58”
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“large sample sizes such that it is relatively uncommon in large-N psychological research to find a non-significant test value; McDonald and Ho 2002 ).”
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“McDonald and Ho (2002), in comparing different estimation approaches, indicated that both ML and GLS methods seem to yield valid parameter estimates and associated statistics, despite non-normal data; therefore, ML and GLS methods seem to be “fairly robust against violations of normality” (p. 70).”
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BackgroundMethodWhy buying functional foods? Understanding spending behaviour through structural equation modelling
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“…0.9 (with ‘above 0.95’ as ideal); (3) Incremental Fit Index 235 (IFI), the value of acceptable fit is above 0.9; (4) Normed chi-square (NC = Chi236 square / Degrees of freedom), the recommended value is between 1 and 3 (Hu & 237 Bentler, 1999; McDonald & Ho, 2002; Pula et al., 2014; Wu, 2009).”
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“ML estimation was used because of its robustness when the data deviate from multivariate normality (Browne & Shapiro, 1988; McDonald & Ho, 2002).”
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“70 [190], [191], and the convergent validity should be tested as average value extract (AVE > 0.”
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“The results of the structural model illustrated in Figure 1 indicate an acceptable fit with the data: χ2 = 862.01, df = 547; RMSEA = 0.056, 90% CI = 0.054–0.063; TFI = 0.90 and CFI = 0.92 (McDonald and Ho 2002).”
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“…or trim paths and change how one would depict the development of children’s PSR. Scholars have argued that the goodness of fit for the most plausible alternative models to any predicted model should be reported in an effort to strengthen the validity of the predicted model (McDonald & Ho, 2002).”
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“Since most researchers have argued that chi‐square is highly sensitive to sample size, it has been suggested that the use of multiple indices may collectively present a more realistic picture of model fit (McDonald & Ringo Ho, 2002 ).”
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“This debate not only focuses on the reliance on indicative thresholds (or cutoff points) as golden rules but also on the neglect of the predictive quality of the models and the negligence with respect to a significant x 2 (e.g., Fan & Sivo, 2007; Marsh, Hau, & Wen, 2004; McDonald & Ho, 2002).”
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“Typically, a good model fit is indicated by the following criteria: RMSEA\.06 CFI (or GFI)[.95, and non-significant Chi square p values (Hu and Bentler 1999; McDonald and Ho 2002).”
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“Na literatura internacional, são observados artigos científicos que buscam discutir esses aspectos do relato de estudos que utilizam MEE (e.g. Boomsma, 2000; McDonald & Ho, 2002).”
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“RMSEA values between .08 and .10 indicate a mediocre fit, values between .05 and .08 represent acceptable fit, and those less than .05 indicate a good fit (McDonald & Ho, 2002).”
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“In each consumption domain, our analysis followed the two-step procedure suggested by McDonald and Ho (2002).”
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“Model fit was evaluated using recommended fit indices (Byrne 2013; McDonald and Ho 2002) of a chi-square minimization p value above .05, a comparative fit index (CFI) above .95, a chi-square ratio (χ2/df) less than 2.0, and a root mean square error of approximation (RMSEA) below .08.”
InfluentialRelationship Between Vicarious Traumatization and Turnover Among Child Welfare Professionals
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“McDonald and Ho (2002) recommend examining and reporting several global fit indices, such as chi square (x2), comparative fit index (CFI), and root mean squared error of approximation (RMSEA).”
BackgroundMethodInfluentialHystad, S. W., Mearns, K. J., & Eid, J. (2014) · Safety Science · doi:10.1016/j.ssci.2014.03.012 · Cited by 110
Alonso, M. Á. V., Gómez, L. E., Martínez, B. A., Navas, P., & Schalock, R. L. (2013) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2013.10.025 · Cited by 116
Multilevel Factor Analysis: Reporting Guidelines and a Review of Reporting Practices
Kim, E., Dedrick, R. F., Cao, C., & Ferron, J. M. (2016) · Multivariate Behavioral Research · doi:10.1080/00273171.2016.1228042 · Cited by 97
“…& Roberts, 2006; Jackson, Gillaspy, & Purc-Stephenson, 2009) have been presented along with reporting practices for structural equation modeling (McDonald & Ho, 2002) and multilevel modeling (Ferron et al., 2008; McCoach, 2010), there are no reporting guidelines specific tomultilevel factor…”
MethodReliability and validity of the Italian version of the 14-item Resilience Scale
Callegari, C., Bertù, L., Lucano, M., Ielmini, M., Braggio, E., & Vender, S. (2016) · Psychology Research and Behavior Management · doi:10.2147/prbm.s115657 · Cited by 106
Wettstein, M., Tauber, B., Kuźma, E., & Wahl, H. (2017) · Psychology and Aging · doi:10.1037/pag0000166 · Cited by 103
Cheng, L., Chen, X., Yang, S., Wu, J., & Yang, M. (2017) · Transportation Letters · doi:10.1080/19427867.2017.1364460 · Cited by 96
“In order to get a better understanding of the model estimation results, it is often useful to calculate the direct and indirect effects from the model (Golob 2000, 2003; McDonald and Ho 2002).”
BackgroundCollado, S., Evans, G. W., & Sorrel, M. Á. (2017) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2017.09.007 · Cited by 98
Man, S. S., Chan, A. H. S., Alabdulkarim, S. A., & Zhang, T. (2021) · Safety Science · doi:10.1016/j.ssci.2020.105155 · Cited by 96
Elmer, E. M., van Tilburg, T. G., & Fokkema, T. (2022) · Archives of Sexual Behavior · doi:10.1007/s10508-021-02132-3 · Cited by 116
“As a measurement model may contribute strongly to overall fit even if the structural model exhibits poor fit (McDonald & Ho, 2002), we evaluated the fit of the measurement, structural, and composite models separately (O’Boyle & Williams, 2011).”
MethodHofmann, S. G. (2004) · Behaviour Research and Therapy · doi:10.1016/j.brat.2004.07.002 · Cited by 96
Daversa, M. T., & Knight, R. A. (2007) · Criminal Justice and Behavior · doi:10.1177/0093854807302411 · Cited by 96
“Multiple-group SEM was employed, which requires a different group for each pattern of missing data with equality constraints imposed across groups (McDonald & Ho, 2002).”
MethodRowe, S. L., Gembeck, M. J. Z., Rudolph, J., & Nesdale, D. (2015) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-014-9966-6 · Cited by 95
Perceived control and psychological distress in women with breast cancer: a longitudinal study
Bárez, M., Blasco, T. B., Castro, J. F., & Viladrich, C. (2008) · Journal of Behavioral Medicine · doi:10.1007/s10865-008-9180-5 · Cited by 103
“This data analysis was conducted using AMOS 4.0 (Arbuckle and Wothke 1999) and goodness of fit indexes and criteria applied were the most common according to McDonald and Ho (2002): no significant chisquare, CFI greater than or equal to 0.90; and RMSEA less than or equal to 0.05.”
MethodInfluentialNurse-perceived time pressure and patient-perceived care quality
Teng, C., HSIAO, F.-J., & CHOU, T.-A. (2010) · Journal of Nursing Management · doi:10.1111/j.1365-2834.2010.01073.x · Cited by 95
“The value of RMSEA was below 0.08, thus satisfying the criterion of McDonald and Ho (2002).”
InfluentialMoretz, M. W., & McKay, D. (2007) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2007.07.004 · Cited by 95
“3 considered acceptable (Carmines & McIver, 1981; Kline, 1994); the root-mean-square error of approximation (RMSEA), with values less than 0.80 indicative of a reasonablefit andvalues less than 0.5indicativeof a good fit ( McDonald & Ho, 2002 ); and the p-value for the test of close fit, which is a test of the null hy…”
InfluentialLatent growth curve analyses of parent influences on drinking progression among early adolescents.
Simons‐Morton, B. G., & Chen, R. (2005) · Journal of Studies on Alcohol · doi:10.15288/jsa.2005.66.5 · Cited by 95
Thombs, B. D., Lewis, C., Bernstein, D. P., Medrano, M. A., & Hatch, J. P. (2007) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2007.04.010 · Cited by 95
“The LaGrange Multiplier test was used with each group model to identify pairs of items within scales for which model fit would improve if error estimates were freed to covary and for which there appeared to be theoretically justifiable shared method effects [43].”
MethodTabachnick, S. E., Miller, R. B., & Relyea, G. E. (2008) · Journal of Educational Psychology · doi:10.1037/0022-0663.100.3.629 · Cited by 103
Time to Tango: Expertise and contextual anticipation during action observation
Amoruso, L., Sedeño, L., Huepe, D., Tomio, A., Kamienkowski, J. E., Hurtado, E., Cardona, J. F., González, M. Á. Á., Rieznik, A. A., Sigman, M., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.005 · Cited by 94
“Finally, the Akaike (AIC) and Bayesian (BIC) information criteria were used to compare the two models estimated with the same data (Bollen, 1989; McDonald and Ho, 2002; Mueller and Hancock, 2008, 2010).”
MethodVasilyeva, M., Dearing, E., Евгеньевна, И. А., Shen, C., & Kardanova, E. Y. (2017) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2017.08.003 · Cited by 101
The mediating impact of customer satisfaction in relation of brand equity and brand loyalty
Kataria, S., & Saini, V. (2019) · South Asian Journal of Business Studies · doi:10.1108/sajbs-03-2019-0046 · Cited by 141
Testing multidimensional models of person‐group fit
Seong, J. Y., & Kristof‐Brown, A. L. (2012) · Journal of Managerial Psychology · doi:10.1108/02683941211252419 · Cited by 105
An Examination of the Role of Attachment and Efficacy in Life Satisfaction
Wright, S. L., & Perrone, K. M. (2010) · The Counseling Psychologist · doi:10.1177/0011000009359204 · Cited by 94
“The comparative fit index (CFI), incremental fit index (IFI), normed fit index (NFI), and nonnormed fit index (NNFI) were used to compare each structural model to a null model.”
BackgroundMethodInfluentialSavalei, V. (2012) · Educational and Psychological Measurement · doi:10.1177/0013164412452564 · Cited by 117
“Those who favor the use of fit indices tend to particularly rely on the root mean square error of approximation, or RMSEA, perhaps the most widely used index (Marsh, Hau, & Grayson, 2005; McDonald & Ho, 2002).”
MethodGaffar, V., Tjahjono, B., Abdullah, T., & Sukmayadi, V. (2021) · Tourism Review · doi:10.1108/tr-05-2020-0215 · Cited by 122
Metadata
- Authors
- McDonald, R. P., & Ho, M.-H. R.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- ORCID
- Ho, Moon-Ho Ringo
- Venue
- Psychological Methods
- Published
- 2002
- Volume
- 7
- Issue
- 1
- Pages
- 64-82
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2134368355
- Cited by
- 4,734
- References
- 102
- Citations by year
- 2026: 176 · 2025: 300 · 2024: 313 · 2023: 336 · 2022: 348 · 2021: 323 · 2020: 327 · 2019: 289 · 2018: 236 · 2017: 236 · 2016: 206 · 2015: 202 · 2014: 198 · 2013: 208 · 2012: 185
- FWCI
- 58.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Methods (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- structural equation modeling, reporting guidelines, model justification, model identifiability, non-normality, missing data, goodness-of-fit indices, standard errors, correlation matrix, model mismatch, critical appraisal
- MeSH terms
- Humans, Models, Psychological, Research Design, Linear Models
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