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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
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“According to McDonald (McDonald & Ho, 2002), absolute fit indices determine the extent to which an a priori model fits the sample data and demonstrates which proposed model has the highest fit.”
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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 to .08 indicate reasonable fit (Browne & Cudeck, 1993; McDonald & Ho, 2002).”
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“However, overwhelmingly, the process of parameter exclusion was supported theoretically (McDonald, Ho, and Ho 2002).”
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“…continuous or categorical outcome, (1) values greater than .90 for comparative fit index (CFI) and Tucker-Lewis index (TLI) indicate good model fit (McDonald & Ho, 2002); (2) values smaller than .05 for root mean square of approximation (RMSEA) suggest a close model fit, while values between .05…”
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““Structural equation modeling (SEM), also known as path analysis with latent variables, is now a regularly used method for representing dependency (arguably “causal”) relations in multivariate data in the behavioral and social sciences” (McDonald & Ho, 2002: p. 64).”
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“We agree with McDonald and Ho (2002) that the best practice is to report one on the path diagram of the final model while the other is summarized in a table.”
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“Goodness of fit of the overall model was evaluated through multiple approaches (Hu and Bentler 1999; McDonald and Ho 2002) including: the ratio of v(2) to the degrees of freedom (good fit indicated by a ratio of 3–1 or smaller), the Comparative Fit Index (CFI; good fit indicated by scores greater than .”
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“In other words, consistency across multiple fit indices provides a more reliable measure of goodness of fit than any one measure (Boomsma, 2000; Cliff, 1983; McDonald & Moon–Ho, 2002).”
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“9 *I te m n um er at io n co rr es po nd s to th e or ig in al o ne b y a rr in de ll, et a l. (1 99 9) . ed by outcomes .90 and over, while for RMSEA, a good fit is suggested by outcomes .08 or below (Byrne, 2001; mcDonald & ho, 2002).”
BackgroundTseng, W., Kawabata, Y., Gau, S. S., & Crick, N. R. (2014) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-014-9883-8 · Cited by 65
“Conventionally, a non-significant Chi-Square, CFI and TLI≥0.95, RMSEA≤0.05, and SRMR≤0.08 suggest a good model fit with the observed data (Hu and Bentler 1999; McDonald and Ho 2002); however, CFI>0.90, RMSEA< 0.10 may also be considered as indicating adequate fit (McDonald and Ho 2002).”
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“However, consistent with the recommendations of numerous researchers (e.g., Hoyle & Panter, 1995; MacCallum, Wegener, Uchino, & Fabrigar, 1993; McDonald & Ho, 2002), we sought to examine several alternative models to determine if our model could be improved through modifications made on a…”
ResultThe Role of Individual and Social Factors in Classroom Loneliness
Stöckli, G. (2009) · The Journal of Educational Research · doi:10.1080/00220670903231169 · Cited by 59
“This accorded with the argument that, in structural models, profound reasons for including nondirected arcs between two latent variables are necessary ( McDonald & Ringo Ho, 2002 ).”
BackgroundMartel, M. M., Schimmack, U., Nikolas, M., & Nigg, J. T. (2015) · Psychological Assessment · doi:10.1037/pas0000088 · Cited by 59
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“each one had at least two indicators due to the complexity of the model [41].”
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“For the Standardized Root Mean Square Residual (SRMR), values close to zero indicate a perfect fit, while values less than .08 are used as a cut-off point, indicating excellent fit (Hu & Bentler, 1999; McDonald & Ho, 2002).”
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“Values of GFI and CFI higher than 0.90, and of RMSEA lower than 0.05 were considered appropriate (Hu & Bentler, 1999; McDonald & Ho, 2002).”
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“This makes non-normality and categorization problems likely [16,17].”
BackgroundModeling ADHD Child and Family Relationships
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“…and values <.05 indicate 'good fit'; Confirmatory Fit Index (CFI), where estimates >.90 indicate 'acceptable' fit and values >.95 indicate 'good' fit; and the Standardized Root Mean Square Residual (SRMR), where values <.08 are considered acceptable (Hu and Bentler, 1999; McDonald and Ho, 2002).”
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“…size, just three or four items representing factors, failing to analyze the stability of correlations in the input matrix or estimated factor loadings, and testing in just one sample, among other issues, see Jackson et al., 2009; MacCallum & Austin, 2000; McDonald & Ho, 2002; Shah&Goldstein, 2006).”
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“90 indicate a need to respecify the model [35, 52].”
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“FIML generates unbiased parameter estimates when data are missing at random (Graham, Cumsille, & Elek-Fisk, 2003; McDonald & Ho, 2002).”
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“The model fit statistics shown in Table 1 were compared with cutoff criteria of a comparative fit index (CFI) > 0.90 and a root mean square error of approximation (RMSEA) < 0.10 (Browne & Cudeck, 1993; Hu & Bentler, 1999; McDonald & Ho, 2002); the scales expressed moderate model-data fit.”
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“In a review by McDonald & Ho (2002) it was found that the most commonly reported fit indices are the Comparative Fit Index (CFI), Goodness of Fit Index (GFI), Normed Fit Index (NFI) and the Non-Normed Fit Index (NNFI).”
BackgroundHawes, S. W., Mulvey, E. P., Schubert, C. A., & Pardini, D. A. (2014) · Journal of Abnormal Psychology · doi:10.1037/a0037078 · Cited by 57
“Cutoff values of .90 or greater were used to indicate acceptable fit, and .95 or greater to indicate good fit, for both CFI and TLI (Hu & Bentler, 1999; McDonald & Ho, 2002).”
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“Model fit was evaluated using the standards proposed by McDonald and Ho (2002): good model fit indices include a chi-square minimization p value above .05, a comparative fit index (CFI) above 0.95, a chisquare ratio (χ2/df ) below 2.0, a standardized root mean square residual (SRMR) below 0.06, and…”
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“The RMSEA indicates how well the model fits the data, and a value below 0.8 indicates a fair fit (McDonald and Ho, 2002).”
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Na, M., Li, R., Ali, M. H., Alam, S. S., Masukujjaman, M., & Ali, K. A. M. (2023) · Behavioral Sciences · doi:10.3390/bs13060502 · Cited by 56
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“08 indicating an acceptable fit ( McDonald & Ho, 2002 ).”
BackgroundMethodReporting results from structural equation modeling analyses in Archives of Scientific Psychology.
Hoyle, R. H., & Isherwood, J. C. (2013) · Archives of Scientific Psychology · doi:10.1037/arc0000004 · Cited by 56
“Additional publications targeted researchers in particular disciplines, ranging from psychology (McDonald & Ho, 2002) to education (Schreiber, Nora, Stage, Barlow, & King, 2006) to information systems (Gefen, Rigdon, & Straub, 2011).”
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Wolff, J. J., Boyd, B. A., & Elison, J. T. (2016) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-016-9161-x · Cited by 56
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“In addition, the comparative fit index is 0.994 and the non-normed fit index is 0.981 (Bentler 1990; McDonald and Ho 2002); both are larger than 0.95 which is generally considered adequate.”
InfluentialMeng, R., Li, J., Wang, Z., Zhang, D., Liu, B., Luo, Y., Hu, Y., & Yu, C. (2020) · Health and Quality of Life Outcomes · doi:10.1186/s12955-020-01307-1 · Cited by 58
“08 (denotes “a reasonable fit”) [74, 75], Weighted Root Mean Square Residual (WRMR) < 1.”
BackgroundRubbab, U.-E., & Naqvi, S. M. M. R. (2020) · PLoS ONE · doi:10.1371/journal.pone.0238451 · Cited by 61
Galeana-Pizaña, J. M., Couturier, S., Figueroa, D., & Jiménez-Ortega, A. D. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103091 · Cited by 57
Büyükgöze‐Kavas, A. (2013) · Journal of Career Assessment · doi:10.1177/1069072713484561 · Cited by 55
Beardslee, J., Docherty, M., Mulvey, E. P., & Pardini, D. A. (2019) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2019.1644646 · Cited by 60
“Conventional cutoffs for the RMSEA include values between .05 and .08 for acceptable fit and values less than .05 for good fit (Browne & Cudeck, 1993; McDonald & Ho, 2002).”
BackgroundMethodReporting Practice in Multilevel Modeling: A Revisit After 10 Years
Luo, W., Li, H., Baek, E., Chen, S., Lam, K. H., & Semma, B. (2021) · Review of Educational Research · doi:10.3102/0034654321991229 · Cited by 70
“McDonald and Ho (2002) recommended to revisit structural equation modeling (SEM) reporting practices occasionally until practice conforms with principles.”
BackgroundChang, H., Shaw, D. S., Dishion, T. J., Gardner, F. E. M., & Wilson, M. N. (2013) · Social Development · doi:10.1111/sode.12069 · Cited by 67
Hipwell, A. E., Stepp, S. D., Feng, X., Burke, J., Battista, D. R., Loeber, R., & Keenan, K. E. (2011) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2011.02448.x · Cited by 59
Factors influencing the frequency of children's consumption of soft drinks
Pettigrew, S., Jongenelis, M. I., Chapman, K. L., & Miller, C. L. (2015) · Appetite · doi:10.1016/j.appet.2015.04.080 · Cited by 57
“…‘good’ fit if the Comparative Fit Index (CFI) and Tucker–Lewis Index (TLI) are ≥ .95 (Hu & Bentler, 1999; Yu & Muthén, 2002), the Root Mean Square Error of Approximation (RMSEA) is ≤ .06 (McDonald & Ho, 2002), and the Standardised Root Mean Square Residual (SRMR) is < .08 (Hu & Bentler, 1999).”
BackgroundHow personality and risk-taking attitude affect the behavior of adventure recreationists
Lee, T. H., & Tseng, C. H. (2015) · Tourism Geographies · doi:10.1080/14616688.2014.1000955 · Cited by 55
“The goodness-of-fit statistics, such as the x2 test, GFI, AGFI, NFI, NNFI, CFI, RMSEA, and SRMR, were applied to assess the structure model (J€oreskog & S€orbom, 1996; McDonald & Ho, 2002).”
MethodResultInfluentialSalt Content Impacts Food Preferences and Intake among Children
Bouhlal, S., Chabanet, C., Issanchou, S., & Nicklaus, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0053971 · Cited by 54
Halbesleben, J. R. B., Leroy, H., Dierynck, B., Simons, T. L., Savage, G. T., McCaughey, D., & Leon, M. R. (2013) · Journal of Occupational Health Psychology · doi:10.1037/a0034086 · Cited by 61
Function and friction at work: a multidimensional analysis of work outcomes in cancer survivors
Moskowitz, M. C., Todd, B. L., Chen, R., & Feuerstein, M. (2014) · Journal of Cancer Survivorship · doi:10.1007/s11764-013-0340-4 · Cited by 55
Children’s false memory and true disclosure in the face of repeated questions
Schaaf, J. M., Alexander, K. W., & Goodman, G. S. (2007) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2007.09.002 · Cited by 55
Assessing the use of the brand personality scale in team sport
Ross, S. (2007) · International Journal of Sport Management and Marketing · doi:10.1504/ijsmm.2008.015959 · Cited by 55
Villarroel, A. M., Penelo, E., Portell, M., & Raich, R. M. (2009) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-009-9177-6 · Cited by 55
“Goodness-of-fit was assessed with the common fit indices ( McDonald and Ho 2002 ).”
MethodIntegrative Tests of a Multidimensional Model of Organizational Identification
Boroş, S., Curșeu, P. L., & Miclea, M. (2011) · Social Psychology · doi:10.1027/1864-9335/a000051 · Cited by 55
Chung, J. Y., Baik, H.-J., & Lee, C. (2016) · Leisure Studies · doi:10.1080/02614367.2016.1190780 · Cited by 55
“Post hoc modifications should be used in SEM only if there are robust theoretical or empirical justifications for doing so (MacCallum & Austin, 2000; McDonald & Ho, 2002; Nunkoo, Ramkissoon, & Gursoy, 2013).”
MethodA model of mobile technologies acceptance for knowledge transfer by employees
Kuciapski, M. (2017) · Journal of Knowledge Management · doi:10.1108/jkm-03-2016-0136 · Cited by 53
Wang, J., & Tsai, N. (2021) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2021.102757 · Cited by 54
Kim, Y., Hur, W., & Lee, L. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103436 · Cited by 58
Kawabata, Y., Tseng, W., & Crick, N. R. (2013) · Aggressive Behavior · doi:10.1002/ab.21517 · Cited by 54
Stepp, S. D., Yu, L., Miller, J. D., Hallquist, M. N., Trull, T. J., & Pilkonis, P. A. (2011) · Personality Disorders Theory Research and Treatment · doi:10.1037/a0025905 · Cited by 54
“…le ss th an 5% (o nl y im pa ct ed N E O sc al es ). d N um be r of ite m s re ta in ed fo llo w in g IR T ca lib ra tio n. Sc al e w as re ve rs esc or ed so hi gh er sc or es in di ca te d hi gh er le ve ls of pe rs on al ity di m en si on . than .05 indicate a good fit (McDonald & Ho, 2002).”
Slaten, C. D., & Baskin, T. W. (2013) · Journal of Career Assessment · doi:10.1177/1069072713487857 · Cited by 54
“The goal of a path analysis is to test theoretically hypothesized relationships and the direction of influence of those relationships (McDonald & Ho, 2002).”
BackgroundDeterminants of Social Contagion during New Product Adoption
Langley, D., Bijmolt, T. H. A., Ortt, R., & Pals, N. (2012) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2012.00929.x · Cited by 54
“To study the antecedents and effects of social contagion, SEM was formulated, including a path model (Figure 1) and a measurement model (Table 1) (McDonald and Ho, 2002), in particular using a hierarchical component model (Jöreskog and Wold, 1982).”
Method
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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