The DOI matches its Crossref record; 69 of the 70 references it cites were found in a registry or an index.
Structural equation modeling in practice: A review and recommended two-step approach
Abstract
In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.
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“When the 95% CI for the correlation between two constructs does not include 1.0, this provides evidence of discriminant validity for the two constructs involved.”
From Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations (2024) · cites this paper as Anderson & Gerbing, 1988
In the citing paper
“Unidimensionality requires no cross-loaded indicator, a condition for assigning meaning to a latent construct (Anderson & Gerbing, 1988).”
From Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations (2024) · cites this paper as Anderson & Gerbing, 1988
In the citing paper
“In addition to establishing convergent validity, discriminant validity requires that each indicator loads uniquely on only one construct.”
From Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations (2024) · cites this paper as Anderson & Gerbing, 1988
In the citing paper
“First proposed by Jöreskog (1971), with subsequent recommendations by Bagozzi and Phillips (1982, p. 476) and by Anderson and Gerbing (1988, p. 416), this is the most widely-used approach to evaluate discriminant validity.”
From Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations (2024) · cites this paper as Anderson & Gerbing, 1988
In the citing paper
“While this represents a suitable minimum requirement for discriminant validity, it is insufficient because it does not guarantee two constructs are distinct”
From Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations (2024) · cites this paper as Anderson & Gerbing, 1988
In the citing paper
“We aim to cover current and potential users of VUI, which is a commonly used and valid way to investigate users’ adoption intention of specific technologies [91,98].”
From The Investigation of Adoption of Voice-User Interface (VUI) in Smart Home Systems among Chinese Older Adults (2022) · cites this paper as [98]
In the citing paper
“Data were analyzed using Structural Equation Modeling (SEM) in AMOS 28 following the two-step approach (Anderson & Gerbing, 1988).”
From Balancing Affective Engagement and Cognitive Load in Generative-AI-Based Learning: Empathy, Immersion, and Emotional Design in Design Education (2025) · cites this paper as Anderson & Gerbing, 1988
In the citing paper
“Further, our measurement model exhibits convergent validity since each indicator loads significantly on the construct they were supposed to represent, which indicates minimal cross-loadings, and establishes convergent validity (Anderson & Gerbing, 1988).”
From Influence of need for affiliation on small business customer loyalty (2025) · cites this paper as Anderson & Gerbing, 1988
In the citing paper
“The reliability and the convergent validity were confirmed, as all five factors reached construct reliabilities (CRs) exceeding the generally recommended 0.70 threshold [31] and (b) the average variances extracted (AVE) exceeding the suggested 0.50 threshold [33], indicating that more than 50% of a factor's variance is due to its measurement items.”
In the citing paper
“Before testing the hypotheses, a confirmatory factor analysis (CFA) was employed to verify the reliability of the constructs (Anderson & Gerbing, 1988).”
From Digital government transformation: A structural equation modelling analysis of driving and impeding factors (2021) · cites this paper as Anderson & Gerbing, 1988
In the citing paper
“The nested model comparison (chi-square difference test, Anderson and Gerbing 1988) supported the discriminant validity, and square root of average variance extracted (AVE) for each of the constructs was substantially larger than the correlation between these two constructs.”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Anderson and Gerbing 1988
In the citing paper
“The nested model comparison (chi-square difference test, Anderson and Gerbing 1988) supported the discriminant validity, and square root of average variance extracted (AVE) for each of the constructs was substantially larger than the correlation between these two constructs.”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Anderson and Gerbing 1988
In the citing paper
“First, through chi-square difference test (Anderson et al 1988; Joreskog 1993), it was confirmed that correlations between each pair of constructs were significantly different from 'unity' (i.e. 1.0).”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Anderson et al 1988
In the citing paper
“Due to the high amount of the observed variables in this study (altogether 57), we could not fully follow the two-step approach suggested by Anderson and Gerbing (1988)”
From Job demands–resources model in the context of recovery: Testing recovery experiences as mediators (2011) · cites this paper as Anderson and Gerbing, 1988
Citations
Cites
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
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Psychometric theory (2nd ed.).
Sitgreaves, R. (1979) · Contemporary Psychology · doi:10.1037/018882 · Cited by 14,384
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
Harman, H. H. (1960) · Cited by 5,148
Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory
Fornell, C., & Bookstein, F. L. (1982) · Journal of Marketing Research · doi:10.2307/3151718 · Cited by 4,645
Kmenta, J. (1997) · University of Michigan Press eBooks · doi:10.3998/mpub.15701 · Cited by 3,240
A leisurely look at the bootstrap, the jackknife, and cross-validation
Efron, B., & Gong, G. (1983) · The American Statistician · doi:10.1080/00031305.1983.10483087 · Cited by 3,229
The Scientific Use of Factor Analysis in Behavioral and Life Sciences
Cattell, R. B. (1978) · doi:10.1007/978-1-4684-2262-7 · Cited by 2,165
Factor Analysis as a Statistical Method.
Browne, M. W., Lawley, D., & Maxwell, A. E. (1964) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2986693 · Cited by 2,067
Flagged first, then by citations
1 of the 70 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 301–400 of 1,403
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
Rai, A., Lang, S. S., & Welker, R. B. (2002) · Information Systems Research · doi:10.1287/isre.13.1.50.96 · Cited by 1,611
Investigating the impact of social media advertising features on customer purchase intention
Alalwan, A. A. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.001 · Cited by 911
The theme park experience: An analysis of pleasure, arousal and satisfaction
Alcañiz, J. E. B., Andreu, L., & Gnoth, J. (2004) · Tourism Management · doi:10.1016/j.tourman.2004.05.006 · Cited by 945
Cretu, A. E., & Brodie, R. J. (2005) · Industrial Marketing Management · doi:10.1016/j.indmarman.2005.08.013 · Cited by 987
Determinants of Chinese consumers' green purchase behavior
Chan, R. Y. K. (2001) · Psychology & Marketing · doi:10.1002/mar.1013 · Cited by 1,220
Kolar, T., & Žabkar, V. (2009) · Tourism Management · doi:10.1016/j.tourman.2009.07.010 · Cited by 974
Namkung, Y., & Jang, S. S. (2007) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348007299924 · Cited by 974
Customer-based corporate reputation of a service firm: scale development and validation
Walsh, G., & Beatty, S. E. (2007) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-007-0015-7 · Cited by 899
Generalizations about trust in marketing channel relationships using meta-analysis
Geyskens, I., Steenkamp, J.-B. E. M., & Kumar, N. (1998) · International Journal of Research in Marketing · doi:10.1016/s0167-8116(98)00002-0 · Cited by 890
Impulse buying: Modeling its precursors
Beatty, S., & Ferrell, M. E. (1998) · Journal of Retailing · doi:10.1016/s0022-4359(98)90009-4 · Cited by 1,753
When consumers doubt, Watch out! The role of CSR skepticism
Skarmeas, D., & Leonidou, C. N. (2013) · Journal of Business Research · doi:10.1016/j.jbusres.2013.02.004 · Cited by 917
Widaman, K. F., Ferrer, E. E., & Conger, R. D. (2010) · Child Development Perspectives · doi:10.1111/j.1750-8606.2009.00110.x · Cited by 961
Does brand trust matter to brand equity?
Delgado‐Ballester, E., & Alemán, J. L. M. (2005) · Journal of Product & Brand Management · doi:10.1108/10610420510601058 · Cited by 949
Phillips, J. M., & Gully, S. M. (1997) · Journal of Applied Psychology · doi:10.1037/0021-9010.82.5.792 · Cited by 915
High-Performance Work Systems and Occupational Safety.
Zacharatos, A., Barling, J. I., & Iverson, R. D. (2005) · Journal of Applied Psychology · doi:10.1037/0021-9010.90.1.77 · Cited by 925
Trainor, K. J., Andzulis, J. “., Rapp, A. A., & Agnihotri, R. (2013) · Journal of Business Research · doi:10.1016/j.jbusres.2013.05.002 · Cited by 958
Donavan, D. T., Brown, T. J., & Mowen, J. C. (2003) · Journal of Marketing · doi:10.1509/jmkg.68.1.128.24034 · Cited by 887
Development of a generalized learning transfer system inventory
Holton, E. F., Bates, R. A., & Ruona, W. E. A. (2000) · Human Resource Development Quarterly · doi:10.1002/1532-1096(200024)11:4 · Cited by 889
Dimensions of Cruisers’ Experiences, Satisfaction, and Intention to Recommend
Hosany, S., & Witham, M. (2009) · Journal of Travel Research · doi:10.1177/0047287509346859 · Cited by 948
Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019) · British Journal of Management · doi:10.1111/1467-8551.12355 · Cited by 881
Development and Validation of a Brand Trust Scale
Alemán, J. L. M., Delgado‐Ballester, E., & Guillén, M. J. Y. (2003) · International Journal of Market Research · doi:10.1177/147078530304500103 · Cited by 906
Variance-Based Structural Equation Modeling
Roldán, J. L., & Sánchez‐Franco, M. J. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-0179-6.ch010 · Cited by 894
The Roles of Quality, Value, and Satisfaction in Predicting Cruise Passengers’ Behavioral Intentions
Petrick, J. F. (2004) · Journal of Travel Research · doi:10.1177/0047287504263037 · Cited by 879
Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study
Bauer, H. H., Barnes, S. J., Reichardt, T., & Neumann, M. M. (2005) · Kent Academic Repository (University of Kent) · Cited by 864
Promoting Relationship Learning
Selnes, F., & Sallis, J. E. (2003) · Journal of Marketing · doi:10.1509/jmkg.67.3.80.18656 · Cited by 861
Integrating technology readiness into technology acceptance: The TRAM model
Lin, C., Shih, H., & Sher, P. J.-H. (2007) · Psychology and Marketing · doi:10.1002/mar.20177 · Cited by 891
International Journal of Economics, Commerce and Management
Christopher, P. M. (2014) · ADVANCED SCIENCES INDEX · Cited by 858
Lubke, G. H., & Muthén, B. (2007) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705510709336735 · Cited by 899
Chang, M. K. (1998) · Journal of Business Ethics · doi:10.1023/a:1005721401993 · Cited by 885
INFLUENCES OF INDIVIDUAL AND SITUATIONAL CHARACTERISTICS ON MEASURES OF TRAINING EFFECTIVENESS.
Mathieu, J. E., Tannenbaum, S. I., & Eduardo Salas, A. (1992) · Academy of Management Journal · doi:10.2307/256317 · Cited by 857
A study of the impact of social media on consumers
Hajli, M. N. (2014) · International Journal of Market Research · doi:10.2501/ijmr-2014-025 · Cited by 854
Luca, L. M. D., & Atuahene‐Gima, K. (2006) · Journal of Marketing · doi:10.1509/jmkg.71.1.95 · Cited by 1,099
Balancing exploration and exploitation: The moderating role of competitive intensity
Auh, S., & Mengüç, B. (2005) · Journal of Business Research · doi:10.1016/j.jbusres.2004.11.007 · Cited by 867
Meyer, J. P., Allen, N. J., & Gellatly, I. R. (1990) · Journal of Applied Psychology · doi:10.1037/0021-9010.75.6.710 · Cited by 846
Toward a theory of individual differences and leadership: Understanding the motivation to lead.
Chan, K.-Y., & Drasgow, F. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.3.481 · Cited by 845
Han, H., & Ryu, K. (2009) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348009344212 · Cited by 892
Construction et validation de l'échelle de motivation en éducation (EME).
Vallerand, R. J., Blais, M. R., Brière, N. M., & Pelletier, L. G. (1989) · Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement · doi:10.1037/h0079855 · Cited by 844
Crossley, C. D., Bennett, R. J., Jex, S. M., & Burnfield, J. L. (2007) · Journal of Applied Psychology · doi:10.1037/0021-9010.92.4.1031 · Cited by 846
Chin, W. W., & Gopal, A. (1995) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/217278.217285 · Cited by 854
Carlson, D. S., & Perrewé, P. L. (1999) · Journal of Management · doi:10.1177/014920639902500403 · Cited by 869
Lai, C.-S., Chiu, C.-J., Yang, C.-F., & Pai, D.-C. (2010) · Journal of Business Ethics · doi:10.1007/s10551-010-0433-1 · Cited by 852
Schwepker, C. H. (2001) · Journal of Business Research · doi:10.1016/s0148-2963(00)00125-9 · Cited by 866
Trust in Management and Performance: Who Minds the Shop While the Employees Watch the Boss?
Mayer, R. C., & Gavin, M. B. (2005) · Academy of Management Journal · doi:10.5465/amj.2005.18803928 · Cited by 1,200
Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers
Belanche, D., Casaló, L. V., & Flavián, C. (2019) · Industrial Management & Data Systems · doi:10.1108/imds-08-2018-0368 · Cited by 851
Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014) · Information & Management · doi:10.1016/j.im.2014.07.005 · Cited by 891
Lee, J., Hsu, L.-T. J., Han, H., & Kim, Y. (2010) · Journal of Sustainable Tourism · doi:10.1080/09669581003777747 · Cited by 893
Patil, P. P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102144 · Cited by 783
Atmospheric Affect as a Tool for Creating Value and Gaining Share of Customer
Babin, B. J., & Attaway, J. S. (2000) · Journal of Business Research · doi:10.1016/s0148-2963(99)00011-9 · Cited by 824
Achieving supply chain agility through IT integration and flexibility
Swafford, P. M., Ghosh, S., & Murthy, N. N. (2008) · International Journal of Production Economics · doi:10.1016/j.ijpe.2008.09.002 · Cited by 849
A Parsimonious Estimating Technique for Interaction and Quadratic Latent Variables
Ping, R. A. (1995) · Journal of Marketing Research · doi:10.1177/002224379503200308 · Cited by 818
Rupp, D. E., & Cropanzano, R. (2002) · Organizational Behavior and Human Decision Processes · doi:10.1016/s0749-5978(02)00036-5 · Cited by 810
AN ASSESSMENT OF THE USE OF STRUCTURAL EQUATION MODELING IN STRATEGIC MANAGEMENT RESEARCH
Shook, C., Ketchen, D., Hult, G., & Kacmar, K. (2004) · Strategic Management Journal · doi:10.1002/smj.385 · Cited by 930
Supply management orientation and supplier/buyer performance
Shin, H., Collier, D. A., & Wilson, D. D. (2000) · Journal of Operations Management · doi:10.1016/s0272-6963(99)00031-5 · Cited by 816
Swink, M. L., Narasimhan, R., & Wang, C. (2006) · Journal of Operations Management · doi:10.1016/j.jom.2006.02.006 · Cited by 839
How can managers reduce employee intention to quit?
Firth, L. A., Mellor, D. J., Moore, K., & Loquet, C. (2004) · Journal of Managerial Psychology · doi:10.1108/02683940410526127 · Cited by 814
Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM
Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.06.004 · Cited by 808
The impact of online store environment cues on purchase intention
Chang, H. H., & Chen, S. W. (2008) · Online Information Review · doi:10.1108/14684520810923953 · Cited by 936
Netemeyer, R. G., Boles, J. S., McKee, D. O., & McMurrian, R. C. (1997) · Journal of Marketing · doi:10.2307/1251791 · Cited by 816
Lee, A. R., Son, S.-M., & Kim, K. K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.011 · Cited by 814
Liu, Y., Luo, Y., & Liu, T. C. (2008) · Journal of Operations Management · doi:10.1016/j.jom.2008.09.004 · Cited by 815
The relationship between ethical leadership and core job characteristics.
Piccolo, R. F., Greenbaum, R. L., den Hartog, D. D., & Folger, R. (2010) · Journal of Organizational Behavior · doi:10.1002/job.627 · Cited by 879
Customer-based brand equity for a destination
Konečnik, M., & Gartner, W. C. (2007) · Annals of Tourism Research · doi:10.1016/j.annals.2006.10.005 · Cited by 916
Retail relationships and store loyalty: A multi-level perspective
Macintosh, G., & Lockshin, L. (1997) · International Journal of Research in Marketing · doi:10.1016/s0167-8116(97)00030-x · Cited by 807
MacKenzie, S. B., Podsakoff, P. M., & Fetter, R. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90037-t · Cited by 807
Segars, A. H., & Grover, V. (2021) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/3shh-pe41 · Cited by 795
Hofmann, D. A., & Morgeson, F. P. (1999) · Journal of Applied Psychology · doi:10.1037/0021-9010.84.2.286 · Cited by 804
Park, C. W., Mothersbaugh, D. L., & Feick, L. F. (1994) · Journal of Consumer Research · doi:10.1086/209383 · Cited by 803
Explaining the user experience of recommender systems
Knijnenburg, B. P., Willemsen, M. C., Gantner, Z., Soncu, H., & Newell, C. (2012) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-011-9118-4 · Cited by 878
Achieving Marketing Objectives through Social Sponsorships
Simmons, C. J., & Becker-Olsen, K. L. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.4.154 · Cited by 795
Corporate Social Responsibility and Employee–Company Identification
Kim, H.-R., Lee, M., Lee, H.-T., & Kim, N. (2010) · Journal of Business Ethics · doi:10.1007/s10551-010-0440-2 · Cited by 799
Disentangling the Meanings of Diversity and Inclusion in Organizations
Roberson, Q. M. (2006) · Group & Organization Management · doi:10.1177/1059601104273064 · Cited by 1,020
Destination Personality: An Application of Brand Personality to Tourism Destinations
Ekinci, Y., & Hosany, S. (2006) · Journal of Travel Research · doi:10.1177/0047287506291603 · Cited by 815
Hartline, M. D., Maxham, J. G., & McKee, D. O. (2000) · Journal of Marketing · doi:10.1509/jmkg.64.2.35.18001 · Cited by 801
Chew, Y. T., & Jahari, S. A. (2013) · Tourism Management · doi:10.1016/j.tourman.2013.07.008 · Cited by 823
Individual Differences in the Centrality of Visual Product Aesthetics: Concept and Measurement
Bloch, P. H., Brunel, F. F., & Arnold, T. J. (2003) · Journal of Consumer Research · doi:10.1086/346250 · Cited by 831
Internalized homophobia and relationship quality among lesbians, gay men, and bisexuals.
Frost, D. M., & Meyer, I. H. (2009) · Journal of Counseling Psychology · doi:10.1037/a0012844 · Cited by 781
“We followed the two-step process recommended by Anderson and Gerbing (1988), which requires first demonstrating adequate fit of the measurement models using confirmatory factor analysis followed by testing the fit of the proposed structural models.”
Cristobal, E., Flavián, C., & Guinalíu, M. (2007) · Managing Service Quality: An International Journal · doi:10.1108/09604520710744326 · Cited by 788
Dimensions of Tourists’ Emotional Experiences Towards Hedonic Holiday Destinations
Hosany, S., & Gilbert, D. (2009) · Journal of Travel Research · doi:10.1177/0047287509349267 · Cited by 846
Keh, H. T., & Xie, Y. (2008) · Industrial Marketing Management · doi:10.1016/j.indmarman.2008.02.005 · Cited by 854
Hair, J. F., Babin, B. J., & Krey, N. (2017) · Journal of Advertising · doi:10.1080/00913367.2017.1281777 · Cited by 837
The Role of Goal Orientation Following Performance Feedback
VandeWalle, D., Cron, W. L., & Slocum, J. W. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.4.629 · Cited by 781
Kim, H., & Stoner, M. R. (2008) · Administration in Social Work · doi:10.1080/03643100801922357 · Cited by 883
Comparative Evaluation and the Relationship Between Quality, Satisfaction, and Repurchase Loyalty
Olsen, S. O. (2002) · Journal of the Academy of Marketing Science · doi:10.1177/0092070302303005 · Cited by 779
Li, J., Poppo, L., & Zhou, K. Z. (2008) · Strategic Management Journal · doi:10.1002/smj.665 · Cited by 785
Danneels, E., & Kleinschmidtb, E. J. (2001) · Journal of Product Innovation Management · doi:10.1016/s0737-6782(01)00109-6 · Cited by 778
Developing a Scale to Measure the Perceived Quality of an Internet Shopping Site (PQISS)
Yoo, B., & Donthu, N. (2014) · Developments in marketing science: proceedings of the Academy of Marketing Science · doi:10.1007/978-3-319-11885-7_129 · Cited by 789
Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.2.04 · Cited by 770
Consumer trust, perceived security and privacy policy
Flavián, C., & Guinalíu, M. (2006) · Industrial Management & Data Systems · doi:10.1108/02635570610666403 · Cited by 858
Perceived Service Quality and User Satisfaction with the Information Services Function
Kettinger, W. J., & Lee, C. C. (1994) · Decision Sciences · doi:10.1111/j.1540-5915.1994.tb01868.x · Cited by 789
Han, H., Hsu, L.-T. J., & Lee, J. (2009) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2009.02.004 · Cited by 826
The Convergence between Two Theories of College Persistence
Cabrera, A. F., Castañeda, M. B., Nora, A., & Hengstler, D. D. (1992) · The Journal of Higher Education · doi:10.1080/00221546.1992.11778347 · Cited by 814
Measuring KMS success: A respecification of the DeLone and McLean's model
Wu, J., & Wang, Y.-M. (2006) · Information & Management · doi:10.1016/j.im.2006.05.002 · Cited by 1,136
A comparative study of cb-sem and pls-sem for theory development in family firm research
Astrachan, C. B., Patel, V. K., & Wanzenried, G. (2014) · Journal of Family Business Strategy · doi:10.1016/j.jfbs.2013.12.002 · Cited by 766
Finding Commercially Attractive User Innovations: A Test of Lead‐User Theory*
Franke, N., von Hippel, E., & Schreier, M. (2006) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2006.00203.x · Cited by 812
Defining and Measuring Servant Leadership Behaviour in Organizations
Sendjaya, S., Sarros, J. C., & Santora, J. C. (2008) · Journal of Management Studies · doi:10.1111/j.1467-6486.2007.00761.x · Cited by 844
Psychological Need Thwarting in the Sport Context: Assessing the Darker Side of Athletic Experience
Bartholomew, K. J., Ntoumanis, N., Ryan, R. M., & Thøgersen‐Ntoumani, C. (2011) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.33.1.75 · Cited by 847
Mostafa, M. M. (2006) · International Journal of Consumer Studies · doi:10.1111/j.1470-6431.2006.00523.x · Cited by 761
On the emancipation of PLS-SEM: a commentary on Rigdon (2012)
Sarstedt, M., Ringle, C. M., Henseler, J., & Hair, J. F. (2014) · Long Range Planning · doi:10.1016/j.lrp.2014.02.007 · Cited by 758
The effects of customer participation in co-created service recovery
Dong, B., Evans, K. R., & Zou, S. (2007) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-007-0059-8 · Cited by 784
Cabrera, A. F., Nora, A., & Castañeda, M. B. (1993) · The Journal of Higher Education · doi:10.1080/00221546.1993.11778419 · Cited by 1,004
Metadata
- Authors
- Anderson, J. C., & Gerbing, D. W.
- Affiliations
- Northwestern University (US)
- Portland State University (US)
- Venue
- Psychological Bulletin
- Published
- 1988-05
- Volume
- 103
- Issue
- 3
- Pages
- 411-423
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2122912498
- Semantic Scholar
- 2265a198e55665ed3df0f19688350567dab593de
- Cited by
- 41,941
- References
- 70
- Citations by year
- 2026: 1902 · 2025: 2183 · 2024: 2385 · 2023: 2571 · 2022: 2705 · 2021: 2802 · 2020: 2420 · 2019: 2305 · 2018: 2082 · 2017: 2000 · 2016: 1933 · 2015: 1887 · 2014: 1912 · 2013: 1767 · 2012: 1613
- FWCI
- 51.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- 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
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- structural equation modeling, nested models, chi-square difference test, model fit assessment, confirmatory factor analysis, exploratory factor analysis, theory testing, predictive modeling, estimation methods
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