The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Structural equations modeling: Fit Indices, sample size, and advanced topics
Open accessAbstract
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Hu, L.-T., & Bentler, P. M. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.424 · Cited by 12,298
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1103_2 · Cited by 6,691
Effect of the number of variables on measures of fit in structural equation modeling
Kenny, D. A., & McCoach, D. B. (2003) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1003_1 · Cited by 1,231
Grewal, R., Cote, J. A., & Baumgartner, H. (2004) · Marketing Science · doi:10.1287/mksc.1040.0070 · Cited by 1,228
On the Meaning of within-Factor Correlated Measurement Errors
Gerbing, D. W., & Anderson, J. C. (1984) · Journal of Consumer Research · doi:10.1086/208993 · Cited by 526 · cited 2×
“The latter is run by specifying the “same pattern” of links—the links are the same in both groups but the parameter estimate values might vary—a weaker form of cross-validation. correlations between errors, e.g., in θε or θδ, which are normally assumed to be independent (Gerbing & Anderson 1984).”
Research works printed but not linked: 32
- 10.1007/BF02294170 · DOI
- 10.1037/0021-9010.76.5.732 · DOI · Paper page
- 10.1037/1082-989X.12.2.229 · DOI
- 10.2307/3151716 · DOI
- 10.1037/0033-2909.88.3.588 · DOI
- Bollen K.A., 1990, Overall fit in covariance structure models: Two types of sample size effects, Psychological Bulletin, 107, 256, 10.1037/0033-2909.107.2.256 · DOI
- Browne M.W., 2002, When fit indices and residuals are incompatible, Psychological Methods, 7, 403, 10.1037/1082-989X.7.4.403 · DOI
- 10.1080/10705519509540000 · DOI
- 10.1016/0304-4076(83)90094-5 · DOI
- 10.1080/00220973.1987.10806438 · DOI
- Fan X., 2005, Sensitivity of fit indexes to misspecified structural or measurement model components, Structural Equation Modeling, 12, 343, 10.1207/s15328007sem1203_1 · DOI
- 10.1080/10705519709540063 · DOI
- 10.2307/3151718 · DOI
- 10.1016/j.jbusres.2008.01.011 · DOI
- 10.1177/0049124192021002002 · DOI · Paper page
- 10.1207/s15327906mbr2003_2 · DOI
- 10.1037/1082-989X.12.2.205 · DOI
- 10.1037/0033-2909.112.2.351 · DOI
- 10.4135/9781412984966 · DOI
- 10.1207/S15328007SEM1001_6 · DOI · Paper page
- 10.1207/s15328007sem1203_2 · DOI
- Kline R.B., 2004, Principles and practice of structural equation modeling 2nd ed
- 10.1207/s15328007sem1201_1 · DOI
- 10.1037/1082-989X.11.1.19 · DOI
- Marcoulides G.A., 1996, Advanced structural equation modeling: Issues and techniques
- 10.1037/0033-2909.103.3.391 · DOI
- 10.1207/s15327906mbr3102_5 · DOI
- Muthén B.O., 1984, A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators, Psychometrika, 49, 115, 10.1007/BF02294210 · DOI
- 10.1207/S15328007SEM0704_3 · DOI
- 10.1080/10705519609540052 · DOI · Paper page
- 10.1207/S15328007SEM0704_6 · DOI
- 10.1207/S15328007SEM0702_1 · DOI
Cited by
Sorted by citations
Items 301–400 of 1,003
Volz, M., Ladwig, S., & Werheid, K. (2019) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2019.1648301 · Cited by 53
Mayerl, H., Stolz, E., Waxenegger, A., Rásky, É., & Freidl, W. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01214 · Cited by 68
Supply chain risk management in India – practical insights
Rogers, H., Srivastava, M., Pawar, K., & Shah, J. (2016) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2015.1075476 · Cited by 53
“638 (combined model) which fall between the recommended range of < 3 (Iacobucci 2010).”
BackgroundInfluentialLogistics salience impact on logistics capabilities and performance
Ralston, P. M., Grawe, S. J., & Daugherty, P. J. (2013) · The International Journal of Logistics Management · doi:10.1108/ijlm-10-2012-0113 · Cited by 50
“The relative χ2/df value was 1.76 which falls between the recommended range of 1 and 3 (Iacobucci, 2010).”
BackgroundMethodInfluentialUnderstanding the Components of Information Privacy Threats for Location-Based Services
Raschke, R. L., Krishen, A. S., & Kachroo, P. P. E. (2014) · Journal of Information Systems · doi:10.2308/isys-50696 · Cited by 52
“Three measures were dropped due to poor loadings (Iacobucci 2009, 2010).”
BackgroundFreyhofer, S., Ziegler, N., de Jong, E. M., & Schippers, M. C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.682684 · Cited by 52
“To analyze the fit of the models, we used the criteria of CFI > 0.90, RMSEA < 0.08, SRMR < 0.08, and χ2/df < 3 (Hooper et al., 2008; Iacobucci, 2010).”
MethodInfluentialGaonkar, S., & Sukthankar, S. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e42514 · Cited by 52
“This method helps identify and characterise the measured variables by condensing the data from observed variables into smaller sections [110].”
Uddin, M. B., & Akhter, B. (2022) · Operations Management Research · doi:10.1007/s12063-022-00257-9 · Cited by 52
“Under SEM we linked the constructs: TMC, SCC, EP, Ec.”
MethodInfluential“Game on!” Pushing consumer buttons to change sustainable behavior: a gamification field study
Mulcahy, R. F., McAndrew, R., Russell‐Bennett, R., & Iacobucci, D. (2021) · European Journal of Marketing · doi:10.1108/ejm-05-2020-0341 · Cited by 82
Self-citationTesta, F., Corsini, F., Gusmerotti, N. M., & Iraldo, F. (2018) · The International Journal of Human Resource Management · doi:10.1080/09585192.2017.1423099 · Cited by 57
“However, because the Chi-Square statistic is a statistical significance test, it is sensitive to sample size, which means that the Chi-Square statistic nearly always rejects the model when large samples are used (Bentler & Bonett, 1980; Iacobucci, 2010; Jöreskog & Long, 1993).”
MethodMulcahy, R., & Riedel, A. S. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.05.011 · Cited by 52
An empirical study on the commercial adoption of digital currencies
Roussou, I., Stiakakis, E., & Sifaleras, A. (2019) · Information Systems and E-Business Management · doi:10.1007/s10257-019-00426-7 · Cited by 52
Khan, H., Daryanto, A., & Liu, C. (2019) · International Business Review · doi:10.1016/j.ibusrev.2018.12.008 · Cited by 58
Revealing the impact of operational logistics service quality on omni-channel capability
Hüseyinoğlu, I. Ö. Y., Sorkun, M. F., & Börühan, G. (2018) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-08-2017-0169 · Cited by 68
Steinbauer, R., Renn, R. W., Chen, H. S., & Rhew, N. D. (2018) · The Journal of Social Psychology · doi:10.1080/00224545.2018.1424110 · Cited by 69
“In addition, dividing χ 2 by the degrees of freedom, results in 1.29, which is well below three and provides further evidence of strong fit (Iacobucci, 2010).”
BackgroundInfluentialShareef, M., Dwivedi, Y. K., Kumar, V., & Kumar, U. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.002 · Cited by 52
Gupta, A., & Dhami, A. (2015) · Journal of Direct Data and Digital Marketing Practice · doi:10.1057/dddmp.2015.32 · Cited by 57
“The comparison of fi t indices with recommended values 43, 44,45 represent a good model fi t.”
Methodvan der Star, A., & Bränström, R. (2015) · BMC Public Health · doi:10.1186/s12889-015-2148-9 · Cited by 59
“95 [37, 38].”
Rela, I. Z., Awang, A. H., Ramli, Z., Taufik, Y., Sum, S. M., & Muhammad, M. (2020) · Sustainability · doi:10.3390/su12041395 · Cited by 51
“A large size is required for reliable analysis in the SEM model [88].”
MethodImpact of supervisors’ safety violations on an individual worker within a construction crew
Liang, H., & Zhang, S. (2019) · Safety Science · doi:10.1016/j.ssci.2019.08.014 · Cited by 68
Kerse, G. (2019) · Journal of Management & Organization · doi:10.1017/jmo.2019.4 · Cited by 51
“Regarding model fit, the following conditions are taken as reference: CFI>0.95; RMSEA<0.08; SRMR<0.10 (Williams, Vandenberg, and Edwards, 2009); and (χ2/ df)≤3 (Iacobucci, 2010).”
MethodInfluentialLan, X., Ma, C., & Radin, R. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00621 · Cited by 50
“Suggested by previous studies (Marsh et al., 2004; Iacobucci, 2010; Kenny et al., 2015), absolute fit indices (e.g., NNFI, CFI, and RMSEA) are easily affected by small sample size.”
ResultChildhood Maltreatment Experiences, Attachment, Sexual Offending: Testing a Theory
Grady, M. D., Yoder, J. R., & Brown, A. (2018) · Journal of Interpersonal Violence · doi:10.1177/0886260518814262 · Cited by 51
“Predominant indictors of good fit include the Chi-square (χ2; cutoff of p > .05) and the RMSEA (cutoff of < .06; Hu & Bentler, 1995; Iacobucci, 2010).”
MethodSocial Media Affecting Tour Operators' Customer Loyalty
Senders, A., Govers, R., & Neuts, B. (2013) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2013.750993 · Cited by 55
“, Wijnen, 2002; Stevens, 1996), other authors (e.g., Anderson & Gerbing, 1984; Hair, Anderson, Tatham, & Black, 1998; Iacobucci, 2010) have stated that stable results can be reached with relatively small samples (100 to 150 respondents).”
BackgroundOstini, R., Dower, J., & Donald, M. (2012) · Quality of Life Research · doi:10.1007/s11136-011-0043-0 · Cited by 51
Impact of owners’ safety management behavior on construction workers’ unsafe behavior
Zhang, Z.-T., Guo, H.-L., Gao, P.-Z., Wang, Y., & Fang, Y.-H. (2023) · Safety Science · doi:10.1016/j.ssci.2022.105944 · Cited by 51
How does self-regulated learning relate to active procrastination and other learning behaviors?
Yamada, M., Goda, Y., Matsuda, T., Saito, Y., Kato, H., & Miyagawa, H. (2016) · Journal of Computing in Higher Education · doi:10.1007/s12528-016-9118-9 · Cited by 50
“The comparative fit index (CFI) is referable criteria and should be close to 0.95 to satisfy the judgment of goodness of fit (Iacobucci 2010).”
BackgroundInfluentialLee, E. W. J., Ho, S. S., & Lwin, M. O. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.10.030 · Cited by 50
Structural Equation Modelling (SEM) in Research: Narrative Literature Review
Hidayat, R., & Wulandari, P. (2022) · Open Access Indonesia Journal of Social Sciences · doi:10.37275/oaijss.v5i6.141 · Cited by 50
“Literally, soft actually means soft or soft, but in the research context, soft is defined as not based on assumptions on the scale of measurement, data distribution, and sample size (Iacobucci, 2010).”
BackgroundAchdut, N., & Sarid, O. (2020) · Israel Journal of Health Policy Research · doi:10.1186/s13584-019-0359-8 · Cited by 67
Tikkanen, L., Pyhältö, K., Pietarinen, J., & Soini, T. (2019) · Journal of Educational Change · doi:10.1007/s10833-019-09363-1 · Cited by 66
“This is likely to have resulted from a relatively large sample size (Iacobucci 2010; Miles and Shevlin 2007).”
BackgroundManaging Family Members: How Monitoring and Collaboration Affect Extra-Role Behavior in Family Firms
Eddleston, K., Kellermanns, F., & Kidwell, R. E. (2018) · Human Resource Management · doi:10.1002/hrm.21825 · Cited by 50
The effect of different data structures, sample sizes on model fit measures
Dogan, I., & Özdamar, K. (2017) · Communications in statistics. Simulation and computation · doi:10.1080/03610918.2016.1241409 · Cited by 50
“Iacobucci (2010) emphasized in his study that when the sample size increased, the CFI values also increased, but this increase was negligible for sample sizes greater than 50.”
BackgroundFang, S., Lin, Y.-C., Chen, T., & Lin, C. (2015) · Supportive Care in Cancer · doi:10.1007/s00520-015-2612-1 · Cited by 50
Molwus, J., Erdogan, B., & Ogunlana, S. (2013) · International Conference on Construction and Real Estate Management (ICCREM) · doi:10.1061/9780784413135.032 · Cited by 50
Dhami, A., Agarwal, N., Chakraborty, T., Singh, B., & Minj, J. (2013) · IEEE International Advance Computing Conference · doi:10.1109/iadcc.2013.6514270 · Cited by 50
“The comparison of fit indices with recommended values [19] [20] [21] represents a good model fit.”
BackgroundExamination of the Impacts of Telecommuting on the Time Use of Nonmandatory Activities
Asgari, H., Jin, X., & Du, Y.-M. (2016) · doi:10.3141/2566-09 · Cited by 49
Role of structural equation modeling in scale development
Farooq, R. (2016) · Journal of Advances in Management Research · doi:10.1108/jamr-05-2015-0037 · Cited by 72
THE TEMPORAL RELATIONSHIP BETWEEN MENTAL HEALTH AND DISABILITY AFTER INJURY
Schweininger, S., Forbes, D., Creamer, M. C., McFARLANE, A. C., Silove, D. M., Bryant, R. A., & O'Donnell, M. L. (2014) · Depression and Anxiety · doi:10.1002/da.22288 · Cited by 51
“05 (ISS[33]) were considered as indicators of good model fit.”
MethodChristens, B. D., & Lin, C. S. (2014) · Family and Consumer Sciences Research Journal · doi:10.1111/fcsr.12056 · Cited by 49
“05 indicate good model fit (Iacobucci, 2010).”
Bandinelli, R., Scozzafava, G., Bindi, B., & Fani, V. (2023) · Cleaner Logistics and Supply Chain · doi:10.1016/j.clscn.2023.100117 · Cited by 48
What drives me to use TikTok: A latent profile analysis of users’ motives
Gu, L.-J., Gao, X., & Li, Y. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.992824 · Cited by 48
“In accordance with Iacobucci (2010), the model fit was deemed adequate if the following criteria were met: for the CFI and TLI, values close to or higher than 0.95 were preferred, but values as low as 0.90 were acceptable; the value for the RMSEA was preferred as low as possible, although value…”
MethodInfluentialSriken, J., Johnsen, S. T., Smith, H., Sherman, M. F., & Erford, B. T. (2021) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.2021.1902239 · Cited by 47
Places in good graces: The role of emotional connections to a place on word-of-mouth
Strandberg, C., Styvén, M. E., & Hultman, M. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.11.044 · Cited by 59
“035), indicating that the model fits the data well (Iacobucci, 2010).”
BackgroundResultInfluentialChang, H.-Y., Lee, I.-C., Chu, T.-L., Liu, Y.-C., Liao, Y.-N., & Teng, C.-I. (2019) · Journal of Advanced Nursing · doi:10.1111/jan.13969 · Cited by 48
Is Emotional Labor Easier in Collectivist or Individualist Cultures? An East–West Comparison
Mastracci, S. H., & Adams, I. T. (2018) · Public personnel management · doi:10.1177/0091026018814569 · Cited by 48
The influence of managerial satisfaction on corporate environmental performance and reputation
Daddi, T., Iraldo, F., Testa, F., & Giacomo, M. R. D. (2018) · Business Strategy and the Environment · doi:10.1002/bse.2177 · Cited by 48
Kratzer, L., Heinz, P., Pfitzer, F., Padberg, F., Jobst, A., & Schennach, R. (2017) · European Journal of Trauma & Dissociation · doi:10.1016/j.ejtd.2017.06.004 · Cited by 55
A case study of transformational leadership and para-police performance in Indonesia
Indrayanto, A., Burgess, J., & Dayaram, K. (2014) · Policing An International Journal · doi:10.1108/pijpsm-03-2013-0029 · Cited by 54
“This finding is in line with the findings of Pillai and Williams (2004) and McMurray et al. (2010). Transformational leadership practice which includes idealised influence, inspirational motivation, individual consideration, and intellectual stimulation is deemed to be effective in building employee commitment to this…”
MethodResultPatte, K. A., Davis, C. A., Levitan, R. D., Kaplan, A. S., Carter, J. C., & Kennedy, J. L. (2016) · Journal of Attention Disorders · doi:10.1177/1087054715618793 · Cited by 47
“The model had a significant chi-square value of 45.961 (df = 18, p < .0001); however, this result is expected in a sample this size (Iacobucci, 2010).”
BackgroundInfluentialSteketee, M., Aussems, C., & Marshall, I. H. (2019) · Journal of Interpersonal Violence · doi:10.1177/0886260518823291 · Cited by 60
“As we want to test both the direct and the mediating effects of the variables, we are using structural equation modeling (SEM; see Iacobucci, 2010).”
MethodWengrowicz, N., Swart, W., Paul, R. C., MacLeod, K. R., Dori, D., & Dori, Y. (2018) · American Journal of Distance Education · doi:10.1080/08923647.2018.1511509 · Cited by 47
“Recommendation for good indicator values for samples with more than 200 participants, as in this study, are between 5 and 2 (Hooper et al., 2008; Iacobucci, 2010).”
BackgroundChallenging Conventional Wisdom for Multivariate Statistical Models With Small Samples
McNeish, D. (2017) · Review of Educational Research · doi:10.3102/0034654317727727 · Cited by 54
“Thus, TML is considered to be more appropriate with small or moderate sample sizes because it has a clearer meaning and interpretation while also allaying the associated worries of being unnecessarily overpowered (e.g., Iacobucci, 2010; Markland, 2007).”
BackgroundRose, L. M., Zask, A., & Burton, L. J. (2016) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2015.1124791 · Cited by 61
“CFI is a ‘goodness-of-fit index’, where values close to 1 indicate a good fit (Iacobucci, 2010).”
BackgroundMethodInfluentialWhittaker, L., Russell‐Bennett, R., & Mulcahy, R. F. (2021) · Psychology and Marketing · doi:10.1002/mar.21476 · Cited by 51
Transformative value and the role of involvement in gamification and serious games for well-being
Mulcahy, R., Zainuddin, N., & Russell-Bennett, R. (2020) · Journal of Service Management · doi:10.1108/josm-05-2019-0137 · Cited by 46
Santos, V., Ramos, P. M. G., & Almeida, N. M. C. (2017) · International Journal of Wine Business Research · doi:10.1108/ijwbr-04-2017-0028 · Cited by 56
“The econometric model SEM used in marketing research presents a number of advantages and benefits such as the reliability of the measures, the use of multiple items buildings, easier measurement tests and even methods to assess construct validity (Kline, 2005; Iacobucci, 2010; Bagozzi & Yi, 2012).”
MethodDevelopment of the Pregnancy-related Empowerment Scale
Klima, C. S., Vonderheid, S. C., Norr, K. F., & Park, C. G. (2015) · Nursing and Health · doi:10.13189/nh.2015.030503 · Cited by 49
“With a large sample size, the Chi-square values will be inflated (statistically significant), thus might erroneously imply a poor data-to-model fit [31].”
BackgroundFang, J.-M., Wen, C., & Prybutok, V. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.09.019 · Cited by 46
Huang, Q., Wang, L.-N., Huang, H.-T., Tang, H.-S., Liu, J., & Chen, C. (2025) · BMC Nursing · doi:10.1186/s12912-025-03685-7 · Cited by 45
“Furthermore, previous research indicates that a sample size of ≥ 200 is generally deemed sufficient for Structural Equation Modeling (SEM) analysis [44, 45].”
Zhang, X., Huang, H., Zhao, S., Li, D., & Du, H. (2025) · BMC Nursing · doi:10.1186/s12912-025-02765-y · Cited by 50
“Additionally, research suggests that a sample size of ≥ 200 is suitable for SEM analysis [29, 30].”
Into the wild or into the library? Perceived restorativeness of natural and built environments
Stragà, M., Miani, C., Mäntylä, T., de Bruin, W. B., Mottica, M., & Missier, F. D. (2023) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2023.102131 · Cited by 55
George, S., & Elrashid, S. (2023) · SAGE Open · doi:10.1177/21582440221149717 · Cited by 45
Auyeung, L., & Mo, P. K. H. (2018) · Journal of Happiness Studies · doi:10.1007/s10902-018-0054-4 · Cited by 51
A Review of Software Packages for Structural Equation Modeling: A Comparative Study
Elsheikh, A., Abonazel, M., & Gamil, N. (2017) · doi:10.12691/amp-5-3-2 · Cited by 45
“𝐹𝐹 < 250 Thereby, SRMR was recommended over RMSEA [19].”
MethodThe Perils of Proclaiming an Authentic Organizational Identity
Kovács, B., Carroll, G. R., & Lehman, D. W. (2017) · Sociological Science · doi:10.15195/v4.a4 · Cited by 57
Budget goal commitment, clinical managers' use of budget information and performance.
Macinati, M. S., & Rizzo, M. G. (2014) · Health Policy · doi:10.1016/j.healthpol.2014.05.003 · Cited by 45
“04) were greater than the recommended values [93].”
BackgroundMethodSystemizing: A Cross-Cultural Constant for Motivation to Learn Science.
Zeyer, A., Çetin-Dindar, A., Zain, A. N. M., Juriševič, M., Devetak, I., & Odermatt, F. (2013) · Journal of Research in Science Teaching · doi:10.1002/tea.21101 · Cited by 45
Wu, S.-T., Chiu, C.-H., & Chen, Y.-S. (2020) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2020.1752754 · Cited by 44
“Marsh et al. (2004) and Iacobucci (2010) discussed the goodness-of-fi t judgment of a model.”
BackgroundChowdhury, R. M. M. I. (2020) · Journal of Macromarketing · doi:10.1177/0276146720917431 · Cited by 48
Measuring the Construct of Warranting Value and Testing Warranting Theory
DeAndrea, D., & Carpenter, C. J. (2018) · Communication Research · doi:10.1177/0093650216644022 · Cited by 44
“Due to the moderately sized samples, the comparative fit index (CFI) and the standardized root mean residual (SRMR) were used to assess fit (Iacobucci, 2010).”
MethodAndrews, R., & Mostafa, A. (2017) · International Review of Administrative Sciences · doi:10.1177/0020852317701824 · Cited by 44
“Maximum likelihood estimation (MLE) was utilized, which is the most common method of estimation in SEM (Iacobucci, 2009).”
MethodBenefits of ISO 20000 IT service management certification
Cots, S., Casadesús, M., & Marimon, F. (2014) · Information Systems and E-Business Management · doi:10.1007/s10257-014-0271-2 · Cited by 44
“The other documents, even though they are very valuable and helpful for implementing the standard, can be considered complementary ISO/IEC (2010, 2012, 2013a, b, c).”
BackgroundMethodInfluentialKyttälä, M., Pirjo Aunio, A., Lepola, J., & Hautamäki, J. (2013) · Educational Psychology · doi:10.1080/01443410.2013.814192 · Cited by 41
“On the other hand, it has been observed that SEM models can perform equally well with smaller samples (N= 50–100; Iacobucci, 2010), as was also indicated by the power analysis of our final model, which reached the recommendable power value of .80 (see e.g. Kayan Fadlelmula, 2011).”
BackgroundCockshaw, W. D., Shochet, I. M., & Obst, P. L. (2014) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2014.33.5.448 · Cited by 44
“For c2/df a range of upper limits have been proposed, however Iacobucci (2010) has recently recommended a value of 3.”
BackgroundNierobisch, T., Toporowski, W., Dannewald, T., & Jähn, S. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.09.014 · Cited by 50
The Integration of Work and Learning: Tackling the Complexity with Structural Equation Modelling
Kyndt, E., & Onghena, P. (2014) · Professional and practice-based learning · doi:10.1007/978-94-007-7012-6_14 · Cited by 44
Gen Z Employee Adaptive Performance: The Role of Inclusive Leadership and Workplace Happiness
Katsaros, K. (2024) · Administrative Sciences · doi:10.3390/admsci14080163 · Cited by 43
Abeysekera, I., Manalang, L., David, R., & Guiao, B. G. M. (2022) · Sustainability · doi:10.3390/su141912565 · Cited by 52
“The minimum sample size to provide a power of accuracy by eliminating type-one errors and typetwo errors in SEM is to have at least 50 observations [61] to 500 observations [62].”
BackgroundHallgren, K. A., Matson, T. E., Oliver, M. M., Witkiewitz, K. A., Bobb, J. F., Lee, A. K., Caldeiro, R. M., Kivlahan, D. R., & Bradley, K. A. (2021) · Journal of General Internal Medicine · doi:10.1007/s11606-021-07038-3 · Cited by 47
Rouzi, A., & Wang, Y. (2021) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102831 · Cited by 48
Power, buyer trustworthiness and supplier performance: Evidence from the Armenian dairy sector
Gorton, M., Angell, R. J., Dries, L., Urutyan, V., Jackson, E., & White, J. E. (2015) · Industrial Marketing Management · doi:10.1016/j.indmarman.2015.05.024 · Cited by 49
“…of the standardized estimates (Table 3) revealed that two reflective items in the buyer trustworthiness scale (Trust2 and Trust6), both with reverse order scales, had low factor loading scores ( .50), compromising convergent validity, and making them candidates for deletion (Iacobucci, 2010).”
BackgroundIdentification and Attachment in Consumer-Brand Relationships
Sen, S., Johnson, A. R., Bhattacharya, C., & Wang, J. (2015) · Emerald Group Publishing Limited eBooks · doi:10.1108/s1548-643520150000012006 · Cited by 43
Brown, T. (2014) · Journal of Accounting Research · doi:10.1111/1475-679x.12054 · Cited by 43
Holm, K., Jönsson, S., & Muhonen, T. (2023) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2022.104429 · Cited by 42
“The χ 2 test has also been found to be very sensitive to sample size (Iacobucci, 2010).”
BackgroundDriving the dual learning process of management knowledge: A social cognitive theory perspective
Lee, K., & Tseng, Y.-F. (2024) · The International Journal of Management Education · doi:10.1016/j.ijme.2024.100940 · Cited by 35
Erena, O., Kalko, M. M., & Debele, S. A. (2022) · Journal of Knowledge Management · doi:10.1108/jkm-11-2021-0861 · Cited by 42
Arli, D. I., van Esch, P., & Cui, Y. G. (2022) · Journal of Business Ethics · doi:10.1007/s10551-022-05164-4 · Cited by 56
“CFI > 0.90 indicates an acceptable fit (Hair et al., 2010), as does SRMR 0.10 (Iacobucci, 2010).”
MethodInfluentialShehzad, M. U., Zhang, J., & Le, P. B. (2021) · Business Process Management Journal · doi:10.1108/bpmj-02-2021-0070 · Cited by 55
Olsen, S. O., Skallerud, K., & Heide, M. (2020) · Appetite · doi:10.1016/j.appet.2020.104994 · Cited by 42
“However, according to Iacobucci (2010): “It is of some comfort that SEM models can perform well, even with small samples (e.g., 50 to 100).”
Hasselgren, C., Ekbrand, H., Halleröd, B., Fässberg, M. M., Zettergren, A., Johansson, L. H., Skoog, I. G., & Dellve, L. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02820-9 · Cited by 46
“Following standard SEM-procedures, we relied on the following fit indices to evaluate model fit: The Root Mean Square Error of Approximation (RMSEA), the Tucker Lewis Index (TLI) and the Weighted Root Mean Square Residual (WRMR). χ2 is also reported, but because it is known to be inflated when N is large [79, 83], we…”
BackgroundPosttraumatic Stress Disorder, Social Support and Coping Among Afghan Refugees in Canada
Ahmad, F., Othman, N., & Lou, W. Y. W. (2019) · Community Mental Health Journal · doi:10.1007/s10597-019-00518-1 · Cited by 50
“Other fitness indices were χ2/df = 1.1, RMSEA = 0.04 and CFI = 0.99 all of which indicate acceptable goodness of fit (Bentler and Stein 1992; Iacobucci 2010).”
BackgroundMethodInfluentialEnhancing board motivation for competitive performance of Thailand’s co-operatives
Chareonwongsak, K. (2017) · doi:10.1016/j.jcom.2017.01.001 · Cited by 42
Omar, N. A., Aris, H. M., & Nazri, M. A. (2016) · Jurnal Pengurusan · doi:10.17576/pengurusan-2016-48-15 · Cited by 51
“Moreover, it is also able to gauge the mediation effects of the model simultaneously, instead of measuring individual regression analyses (Iacobucci 2010).”
BackgroundMäkinen, H. (2013) · Agricultural and Food Science · doi:10.23986/afsci.8147 · Cited by 42
“While there are a plethora of fit indices available and much discussion of their properties (e.g. Hu and Bentler 1998, Shah and Goldstein 2006, Iacobucci 2010), following Kline (2005), the ones used in this study were χ2, root mean square error of approximation (RMSEA), standardized root mean…”
BackgroundMethodInfluentialGender difference in anxiety and related factors among adolescents
Bao, C., & Han, L. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1410086 · Cited by 39
Zhu, C., Guo, X., & Zou, S. (2022) · Journal of Industrial and Production Engineering · doi:10.1080/21681015.2022.2099472 · Cited by 41
“IFI = 0.944, TLI = 0.934, CFI = 0.944, all greater than the 0.9 standards [42].”
InfluentialTesta, F., Gusmerotti, N. M., Corsini, F., & Bartoletti, E. (2022) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2022.106262 · Cited by 53
Kim, H. J., & Hong, H. (2021) · Health Communication · doi:10.1080/10410236.2021.1911399 · Cited by 40
“To assess the overall model fit, we examined multiple fit indices following the recommended criteria (e.g., Hu & Bentler, 1999; Iacobucci, 2010).”
MethodWork–Life Balance for Construction Manual Workers
Chan, A., Chiang, Y., Wong, F., Liang, S., & Abidoye, F. A. (2020) · doi:10.1061/(asce)co.1943-7862.0001800 · Cited by 41
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review