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Structural equations modeling: Fit Indices, sample size, and advanced topics
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This article is the second of two parts intended to serve as a primer for structural equations models for the behavioral researcher. The first article introduced the basics: the measurement model, the structural model, and the combined, full structural equations model. In this second article, advanced issues are addressed, including fit indices and sample size, moderators, longitudinal data, mediation, and so forth.
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“The results in Figure 1 suggested excellent model fit (Iacobucci 2010: p. 91): χ 2 (32) = 97.994(p=0.000); and χ 2 /df = 3.06.Further, GFI = .968;CFI = .984;RMSEA = .061;and SRMR = .0278;thus corroborating the excellent model fit to the data”
From Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation (2014) · cites this paper as Iacobucci 2010
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“However, the number of items per construct was sufficiently more than what has been recommended for complex structural models (see Iacobucci 2010).”
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“(Iacobucci, 2010).”
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Corsini, F., Appio, F. P., & Frey, M. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.10.018 · Cited by 29
Are you technologically prepared for mobile shopping?
Prodanova, J., San-Martín, S., & Jiménez, N. H. (2018) · Service Industries Journal · doi:10.1080/02642069.2018.1492561 · Cited by 28
“The factor loadings of the four factors extracted for TR incorporated the previously validated TR construct into the second-order model (Iacobucci, 2010).”
MethodSustainability and Economic Performance of the Companies in the Renewable Energy Sector in Romania
Bușu, M., & Nedelcu, A. (2017) · doi:10.3390/su10010008 · Cited by 28
“In their work [44], the authors have chosen to use PLS-SEM because this method is more robust than other methods, like Covariance Based (CB)-SEM, and also less sensitive to distributions that are skewed, surveys with small sizes or to the multicollinearity [45].”
MethodViola, M. M., Musso, P., Ingoglia, S., Coco, A. L., & Inguglia, C. (2017) · Europe's Journal of Psychology · doi:10.5964/ejop.v13i2.1277 · Cited by 28
“…200 cases”; see Kline, 2016, p. 16), recently there has been an increasing evidence that SEM models can perform well even with small samples (e.g., 50 to 150; see Iacobucci, 2010; Muthén & Muthén, 2002; Sideridis, Simos, Papanicolaou, & Fletcher, 2014; Wolf, Harrington, Clark, & Miller, 2013).”
BackgroundDavis, C. A., Patte, K. A., Zai, C. C. H., & Kennedy, J. L. (2017) · Nutrition and Diabetes · doi:10.1038/nutd.2017.24 · Cited by 26
Taka, M., Aalto, J., Virkanen, J., & Luoto, M. (2016) · Water Resources Research · doi:10.1002/2016wr019226 · Cited by 28
“Previous studies recommend that v2 should be inspected in relation to degrees of freedom, and that values 3 indicate a good model fit [Iacobucci, 2010].”
BackgroundOakley, J., Bush, A. J., Moncrief, W. C., Sherrell, D., & Babakus, E. (2021) · Industrial Marketing Management · doi:10.1016/j.indmarman.2020.11.009 · Cited by 28
Involving clients in treatment methods: a neglected interaction in the therapeutic relationship
Kaldo, V., Ramnerö, J., & Jernelöv, S. (2015) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000039 · Cited by 27
“…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. model fitness were used in accordance with Iacobucci (2010): chi-squared model fit test, root mean square error of approximation (RMSEA 0.06), comparative fit index (CFI 0.95), and…”
BackgroundMethodInfluentialResilience, Burnout and Mental Health in Nurses: A Latent Mediation Model
Galdames, I. S., Jurado, M. D. M. M., Fernández‐Martínez, E., Fuentes, M. D. C. P., & Linares, J. J. G. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13102769 · Cited by 34
“…this The following indices were used to evaluate model fit: chi-square/degrees of freedom (χ 2 / df ), which is considered optimum at <3 [61] and acceptable at <5 [62]; the CFI, TLI and GFI indices, which according to Hu and Bentler [63]) should be >0.95 to consider optimum fit and…”
MethodInfluentialJohnson, R. G., Allen, K.-A., & Cordoba, B. G. (2023) · Current Psychology · doi:10.1007/s12144-023-05280-y · Cited by 27
“A smaller SRMR and a larger CD value indicate a better model fit (Iacobucci, 2010).”
Hunt, C., Yoder, S., Comment, T., Price, T., Akram, B., Battestilli, L., Barnes, T., & Fisk, S. R. (2022) · International Computing Education Research Workshop · doi:10.1145/3501385.3543963 · Cited by 27
“For a primer on structural equation models and fit indexes, please see [24].”
BackgroundResultInfluentialTan, M., Barkus, E., & Favelle, S. K. (2021) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2021.1960156 · Cited by 29
“…the fit statistics suggest that our small sample size (N=175) was sufficient to produce a valid model based on a strong a priori theoretical framework (Iacobucci, 2009), a general guide for SEM analysis would suggest a minimum sample size of 200, therefore replication of these data is warranted.”
MethodAchdut, N., Refaeli, T., & Tayri, T. M. S. (2021) · Social Indicators Research · doi:10.1007/s11205-021-02729-0 · Cited by 31
“With large sample size, as in our study (n = 1,457 participants, after excluding 51 cases with at least one missing value), the χ2 value of the model tends to be significant (see also Hoe, 2008; Hooper et al., 2008; Iacobucci, 2010).”
BackgroundUsing VIKOR with structural equation modeling for constructing benchmarks in the Internet industry
Torlak, N. G., Demir, A., & Budur, T. (2021) · Benchmarking : An International Journal · doi:10.1108/bij-09-2020-0465 · Cited by 27
Yoon, B., Jeong, Y., Lee, K., & Lee, S. (2020) · Technovation · doi:10.1016/j.technovation.2020.102164 · Cited by 27
Leung, M., & Liang, Q. (2019) · Habitat International · doi:10.1016/j.habitatint.2019.102067 · Cited by 30
The Influence of Leader Encouragement of Creativity on Innovation Speed: Findings from SEM and fsQCA
Cheng, C., Cao, L., Zhong, H., He, Y., & Qian, J. (2019) · Sustainability · doi:10.3390/su11092693 · Cited by 34
“First, SEM emphasizes comparison among alternative models, rather than the effect size within each model.”
BackgroundInfluentialThe Positivity Scale: Concurrent and Factorial Validity Across Late Childhood and Early Adolescence
Zuffianò, A., López‐Pérez, B., Cirimele, F., Kvapilová, J., & Caprara, G. V. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00831 · Cited by 34
“…fit (Brown, 2015); Root-Mean-Square-Error-ofApproximation (RMSEA) with 90% Confidence Interval (CI), and Standardized-Root-Mean-Square-Residual (SRMR) values between 0.08 and 0.05 as indicators of moderate model fit and below <0.05 as indicator of good model fit (Iacobucci, 2010; Brown, 2015).”
MethodInfluentialModelling the critical success factors of agile software development projects in South Africa
Chiyangwa, T., & Mnkandla, E. (2017) · doi:10.4102/sajim.v19i1.838 · Cited by 27
“Nevertheless, using chi-square statistics to evaluate model specifications may be problematic in three ways, as discussed below (Cheung & Rensvold, 2002; Dion, 2008; Iacobucci, 2010):”
BackgroundMethodInfluentialData-Driven Extraction of a Nested Model of Human Brain Function
Bolt, T., Nomi, J. S., Yeo, B. T. T., & Uddin, L. Q. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0323-17.2017 · Cited by 23
“The overall fit of the a priori factor models to the data is assessed using a variety of global fit indices (Fan et al., 1999; Bentler, 2007; Iacobucci, 2010) that all measure the discrepancy between the covariance matrix implied by the factor model and the sample covariance matrix (covariance…”
MethodReducing employee turnover intention: a customer relationship management perspective
Aliyu, O. A., & Nyadzayo, M. (2016) · Journal of Strategic Marketing · doi:10.1080/0965254x.2016.1195864 · Cited by 27
“SEM is the most commonly used approach to testing mediation as it is efficient in simultaneously estimating both direct and indirect relationships as all three paths are fit at once, in a single model (Iacobucci, 2010).”
BackgroundMethodInfluentialPlatsidou, M., & Kantaridou, Z. (2014) · Journal of Language and Literature · doi:10.7813/jll.2014/5-3/30 · Cited by 27
Gomez, R. (2012) · Assessment · doi:10.1177/1073191112457588 · Cited by 33
“A recent simulation study showed that a minimal sample size of 50 is sufficient to provide stable estimates for the CFI (Iacobucci, 2010).”
BackgroundOnline Gaming Misbehaviors and Their Adverse Impact on Other Gamers
Teng, C.-I., Tseng, F.-C., Chen, Y.-S., & Wu, S. (2012) · Online information review (Print) · doi:10.1108/14684521211241387 · Cited by 27
Metadata
- Authors
- Iacobucci, D.
- Affiliations
- Vanderbilt University (US)
- Corresponding author
- Iacobucci, Dawn
- ORCID
- Iacobucci, Dawn
- Venue
- Journal of Consumer Psychology
- Publisher
- Wiley
- Published
- 2009-10-03
- Volume
- 20
- Issue
- 1
- Pages
- 90-98
- ISSN
- 1057-7408 (ISSN-L)
- 1532-7663
- OpenAlex
- W2038318317
- Cited by
- 2,263
- References
- 0
- Citations by year
- 2026: 111 · 2025: 193 · 2024: 193 · 2023: 186 · 2022: 210 · 2021: 208 · 2020: 158 · 2019: 193 · 2018: 169 · 2017: 129 · 2016: 128 · 2015: 123 · 2014: 94 · 2013: 86 · 2012: 53
- FWCI
- 34.78
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Journal of Consumer Psychology (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- structural equation modeling, model fit indices, sample size, moderators, longitudinal data, mediation, measurement model, structural model
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