A primer on partial least squares structural equation modeling (PLS-SEM)
By A. Leguina. 2015
1,676 citations recorded by the source corpus.
Subfields: Information Systems
View Paper: https://www.semanticscholar.org/paper/3ea3c54a3e3e8400ae95229e16edbc9c16886e74
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In Information Systems
- Amandeep Dhir
- Mikko Rönkkö
- Jun-Hwa (Jacky) Cheah
- Puneet Kaur
- Marko Sarstedt
- John Antonakis
- C. Mcintosh
- Christian M. Ringle
Citations in the corpus
- Re-examining the relationships among perceived quality, value, satisfaction, and destination loyalty (2018, background): “…“reflective first-order, formative second-order” model (also referred to as a molar, or type II, higher order model, see Diamantopoulos et al., 2008), where the six reflective first-order dimensions of PQ form (arrows pointing toward) the higher (second)-order PQ construct (see Hair et al., 2014).”
- Structural model robustness checks in PLS-SEM (2020, methodology): “These features include the tech- nique’s ability to handle complex models with relatively little data (Hair et al., 2017c), to estimate formatively specified measurement models (Sarstedt et al., 2016a), and produce determinate latent variable scores (Rigdon et al., 2019).”
- Environmental, Social and Governance (ESG) and Investment Decision in Bangladesh (2018, methodology): “However, items with weak factor loading can be retained in some cases as a benefaction to content validity [91].”
- The structural relationship between TQM, employee satisfaction and hotel performance (2017, methodology): “1 Measurement model The partial least square structural equation modeling (PLS-SEM) technique was performed to analyze the measurement (Fornell and Larcker, 1981) and structural models (Hair et al., 2013) using Smart PLS software (Ringle et al.”
- On the adoption of partial least squares in psychological research: Caveat emptor (2015, methodology): “…in the use of PLS typically present the CSC as a middle ground or compromise between the two extremes of no sign correction and the ISC, and advise that the CSC be used as a check on whether significant results obtained under the ISC can be considered valid (Hair et al., 2014, Chapter 5, 2012).”
- Remembered experiences and revisit intentions: A longitudinal study of safari park visitors (2016, background): “Memory is malleable and dynamic, not fixed (Helkkula et al., 2012).”
- Dimensions and outcomes of experience quality in tourism: The case of Port wine cellars (2016, background): “Values vary from 1.921 to 3.238, which is below the common cut-off threshold of 5 (Hair et al., 2014), thereby suggesting that the factors are not highly correlated to one another.”
- Green purchase behavior of undergraduate students in Hong Kong (2016, methodology): “As shown in Table 2, except for erceived environmental responsibility (0.456), other varibles are in the range between 0.531 and 0.609, being igher than the threshold of 0.5 (Hair et al., 2014), repreenting acceptable levels of convergent validity.”
- Satisfaction and revisit intentions at fast food restaurants (2020, methodology): “To evaluate convergent validity measurement model (outer model) is assessed that includes composite reliability (CR) to evaluate internal consistency, individual indicator reliability, and average variance extracted (AVE) [85].”
- Does emotional intelligence and empowering leadership affect psychological empowerment and work engagement? (2020, methodology): “…for each construct ranged from 0.675 to 0.979, composite reliability (CR) range from 0.897 to 0.976 and average variance extracted (AVE) range from 0.680 to 0.930, exceeding the recommended level of 0.50 (Chin, 1998a) and confirming convergent validity for each construct (Hair et al., 2017a).”
- Psychological determinants of retirement financial planning behavior (2021, methodology): “Thus, we can ensure that the constructs used for assessing the relation in the inner model are precisely measured (Hair et al., 2014).”
- Online social media fatigue and psychological wellbeing - A study of compulsive use, fear of missing out, fatigue, anxiety and depression (2018, background): “…standardised factor loadings for measurement items, i.e., factor loadings should be above 0.70 (Hair, Hult, Ringle, & Sarstedt, 2013) and AVEs of the study measures must be greater than 0.50, which suggest that a given measure possesses at least half of the variance explained (Hair et al., 2013).”
- Personal norms and the adoption of pro-environmental binning behaviour in national parks: an integrated structural model approach (2020, methodology): “According to Hair et al. (2017), since PLS is not a co-variance SEM having limited applicability in certain model setups, the GoF is not advisable.”
- Antecedents of Consumers’ Purchase Intention towards Organic Food: Integration of Theory of Planned Behavior and Protection Motivation Theory (2021, methodology): “25 [63], while for f2, value of above 0.”