Latent class analysis in PLS-SEM: A review and recommendations for future applications

Sarstedt, Marko; Radomir, Lăcrămioara; Moisescu, Ovidiu Ioan; Ringle, Christian M.

doi:10.1016/j.jbusres.2021.08.051

Cited by 103 publications

(58 citation statements)

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, researchers still rely strongly on the Fornell‐Larcker criterion (Fornell & Larcker, 1981) and on cross‐loadings to assess discriminant validity; they also hardly use a redundancy analysis to establish formative measures' convergent validity. The use of more advanced analyses, such as latent class techniques, is still lacking in applied PLS‐SEM research despite persistent calls for their routine use to ensure the results' validity (Becker et al, 2013; Sarstedt & Danks, 2021a; Sarstedt et al, 2017, 2022). Reporting practices in terms of, for example, the software used and the bootstrapping algorithm settings, are still inadequate.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Progress in partial least squares structural equation modeling use in marketing research in the last decade

Sarstedt

Hair

Pick

et al. 2022

Psychology and Marketing

Self Cite

291

214

View full text Add to dashboard Cite

Partial least squares structural equation modeling (PLS‐SEM) is an essential element of marketing researchers' methodological toolbox. During the last decade, the PLS‐SEM field has undergone massive developments, raising the question of whether the method's users are following the most recent best practice guidelines. Extending prior research in the field, this paper presents the results of a new analysis of PLS‐SEM use in marketing research, focusing on articles published between 2011 and 2020 in the top 30 marketing journals. While researchers were more aware of the when's and how's of PLS‐SEM use during the period studied, we find that there continues to be some delay in the adoption of model evaluation's best practices. Based on our review results, we provide recommendations for future PLS‐SEM use, offer guidelines for the method's application, and identify areas of further research interest.

show abstract

Section: Discussionmentioning

confidence: 99%

“…The identification and treatment of observed and unobserved heterogeneity is another aspect that has attracted considerable attention in methodological research (Memon et al, 2019; Rigdon et al, 2010; Sarstedt et al, 2022). Our review shows that researchers' use of PLS‐SEM also mirrors this development.…”

Section: Review Of Pls‐sem Research: 2011–2020mentioning

confidence: 99%

Progress in partial least squares structural equation modeling use in marketing research in the last decade

Sarstedt

Hair

Pick

et al. 2022

Psychology and Marketing

Self Cite

291

214

View full text Add to dashboard Cite

show abstract

“…Factor loadings must be more than 0.70 in most cases. Items with outer loadings of 0.40–0.70 should be deleted if their removal improves the CR or AVE values ( Sarstedt et al, 2022 ). Table 2 indicated that the measurement model has convergent validity, by the fact that all Cronbach alpha, composite reliability and average variance extracted were larger than the recommended cut-off requirements.…”

Section: Resultsmentioning

confidence: 99%

“…When it came to CMV, a comprehensive collinearity examination was utilized. In order to provide estimates of the suitability of the sampling distribution and estimates of population standard errors, the data were bootstrapped to a total of 5,000 samples using Smart-Partial Least Squares (PLS) version 3.2.8 software ( Sarstedt et al, 2022 ). This procedure ensured that the sample data properly reflected the population.…”

Section: Methodsmentioning

confidence: 99%

Impact of Music Education on Mental Health of Higher Education Students: Moderating Role of Emotional Intelligence

Wang

Huang²,

Zeb³

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

Music education is one of human kind most universal forms of expression and communication, and it can be found in the daily lives of people of all ages and cultures all over the world. As university life is a time when students are exposed to a great deal of stress, it can have a negative impact on their mental health. Therefore, it is critical to intervene at this stage in their life so that they are prepared to deal with the pressures they will face in the future. The aim of this study was to see how music education affects university students’ mental health, with emotional intelligence functioning as a moderator. The participants in this research were graduate students pursuing degrees in music education. Non probability convenience sampling technique was used to collect and evaluate the data from 265 students studying in different public and private Chinese universities. The data was gathered at a time, and therefore, the study is cross-sectional. The data was collected from January 2022 till the end of March 2022. Many universities have been closed because to COVID-19, therefore data was also gathered online through emails. The data was analyzed quantitatively using the partial least squares (PLS)–structural equation modeling (SEM) technique. The findings backed up the hypotheses. The results revealed that there is a significant effect of music education on student’s mental health. Also, emotional intelligence as a moderator significantly and positively moderates the relationship between music education and students’ mental health. Music has numerous physiological aspects, and listening to it on a daily basis may be beneficial to your general health and well-being. Furthermore, musicians and music students with a high level of emotional intelligence have a better chance of not just performing well in school, college and university or in the music industry, but also of maintaining mental health and improving it.

show abstract

“…The emergence of more complex modeling requirements goes hand-in-hand with (and confirms) the critical importance of advanced analytical methods and robustness checks (Sarstedt et al, 2020b). These include confirmatory tetrad analysis to empirically assess the mode of measurement (Gudergan et al, 2008), necessary condition analysis (NCA) and fuzzy set qualitative confirmatory analysis to support theoretically established relationships in the structural model (Rasoolimanesh et al, 2021a;Richter et al, 2020), nonlinear relationships (Basco et al, 2021), finite mixture and prediction-oriented segmentation analysis to identify and treat unobserved heterogeneity (Becker et al, 2013;Hair et al, 2016;Sarstedt et al, 2017Sarstedt et al, , 2021a and many other advances in composite-based SEM (for an overview, see Hair et al, 2022).…”

mentioning

confidence: 99%

Guest editorial: Sports management research using partial least squares structural equation modeling (PLS-SEM)

Cepeda‐Carrión

Hair

Ringle

et al. 2022

IJSMS

Self Cite

View full text Add to dashboard Cite

The development of PLS-SEM into a standard method in management research Wold (1982) developed the method of partial least squares structural equation modeling (PLS-SEM) (also see J€ oreskog and Wold, 1982b, c). Lohm€ oller (1989) extended the initial method and prepared the first software (LVPLS; see Lohm€ oller, 1984Lohm€ oller, , 1987. The dissemination of PLS-SEM started with the publication of tutorials by Barclay et al. (1995), Chin (1998) and Tenenhaus et al. (2005), as well as the availability of PLSGraph (Chin, 2003), the first software package that included a graphical user interface for Lohm€ oller's LVPLS program.In the last decade, PLS-SEM has become an integral part of the methodological toolbox of economists, sociologists and several other social science disciplines. This is not only evidenced by the exponentially increased use of PLS-SEM in research articles (Hair et al., 2022, Preface) but also by dedicated chapters on PLS-SEM in main methods textbooks (e.g. Hair et al., 2019a) and handbooks (e.g. Sarstedt et al., 2021b). Several review articles on the use of PLS-SEM (Table 1), special issues (Table 2) in different disciplines and dissemination of research networks (

show abstract

Latent class analysis in PLS-SEM: A review and recommendations for future applications

Cited by 103 publications

References 74 publications

Progress in partial least squares structural equation modeling use in marketing research in the last decade

Progress in partial least squares structural equation modeling use in marketing research in the last decade

Impact of Music Education on Mental Health of Higher Education Students: Moderating Role of Emotional Intelligence

Guest editorial: Sports management research using partial least squares structural equation modeling (PLS-SEM)

Contact Info

Product

Resources

About