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partial least squares structural equation modeling (pls-sem)  (Sarstedt)

 
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    Sarstedt partial least squares structural equation modeling (pls-sem)
    Partial Least Squares Structural Equation Modeling (Pls Sem), supplied by Sarstedt, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/partial+least-squares+(pls)/partial+least+squares+structural+equation+modeling++pls+sem+/pm40598139-379-13-6
    Average 90 stars, based on 1 article reviews
    partial least squares structural equation modeling (pls-sem) - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: How organizational justice shapes innovative work behavior: Work engagement as mediator and authentic leadership as moderator in China's ICT sector.
    Article Snippet: Given the complexity of the proposed research model—which includes multiple latent variables, mediating and moderating relationships—Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed as the analytical method (Hair, Matthews, Matthews, & Sarstedt, 2017).

    Article Title: The influence of employee mental health on sustainable corporate practices among starred hotels: the roles of marketing performance and stress management.
    Article Snippet: Hair JF Jr, Hult GTM, Ringle CM, Sarstedt M, Danks NP, Ray S Partial least squares structural equation modelling (PLS-SEM) using R: a workbook.

    Article Title: Changing the fate of rangelands through behavioral nudges for sustainable land use and management using an extended theory of planned behavior.
    Article Snippet: Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. Partial least squares structural equation modeling (PLS-SEM) using R: A workbook (p. 197).

    Article Title: The mediating role of psychological flexibility in the relationship between adverse childhood experiences and symptoms of depression, anxiety, and stress among Vietnamese college students.
    Article Snippet: Hair JF Jr, Hult GTM, Ringle CM, Sarstedt M, Danks NP, Ray S. Partial least squares structural equation modeling (PLS-SEM) using R: A workbook.

    Article Title: Understanding the effects of teacher credibility on students' cognitive engagement in online learning: The mediating roles of academic self-efficacy and motivational regulation strategies.
    Article Snippet: Partial least squares (PLS) are a variance-based SEM technique, that is widely employed because of its advantages of exploratory research and unrestricted sample size (Hair, Sarstedt, Ringle, & Mena, 2012; Henseler, Ringle, & Sinkovics, 2009).

    Article Title: Investigating potential backers' reactions to fundraiser misconduct in crowdfunding: a psychological reactance perspective.
    Article Snippet: 96 Sarstedt, M., Hopkins, L. & Kuppelwieser, V. G. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research.

    Article Title: Understanding the mental health effects of social support among university students: a hybrid SEM-ANN approach.
    Article Snippet: Hair, J., Hult, T., Ringle, C., & Sarstedt, M., A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).

    Construct:

    Article Title: Spiritual leadership and employee voice behavior in higher education institutions: A moderated mediation model.
    Article Snippet: .. The results were evaluated with the help of Partial Least Squares Structural Equation Modeling (PLS-SEM), which is more effective at examining association between constructs and effectively applicable both in measurement and structural models (Sarstedt et al., 2021). ..



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    Multivariate analysis of urinary ¹H NMR metabolomic profiles across groups: Primary Mitochondrial Disease (PMD, orange), Suspected Mitochondrial Disease (SMD, yellow), Control individuals (green), Chronic Kidney Disease (CKD) stages 1–2 (lilac) and stages 3–5 (purple). The ellipses represent 95% confidence intervals. A Principal Component Analysis (PCA) highlights distinct metabolic fingerprint in CKD patients compared to other groups. B Corresponding supervised model using partial least squares discriminant analysis (PLS-DA) shows metabolic divergence between groups, particularly between PMD, CKD3-5, and controls. PMD primary mitochondrial disease, SMD suspected mitochondrial dysfunction, CKD chronic kidney disease

    Journal: Metabolomics

    Article Title: NMR-based urinary biomarkers in pediatric primary mitochondrial disorders and chronic kidney disease: shared mitochondrial dysfunction, diverging biosignatures

    doi: 10.1007/s11306-025-02363-8

    Figure Lengend Snippet: Multivariate analysis of urinary ¹H NMR metabolomic profiles across groups: Primary Mitochondrial Disease (PMD, orange), Suspected Mitochondrial Disease (SMD, yellow), Control individuals (green), Chronic Kidney Disease (CKD) stages 1–2 (lilac) and stages 3–5 (purple). The ellipses represent 95% confidence intervals. A Principal Component Analysis (PCA) highlights distinct metabolic fingerprint in CKD patients compared to other groups. B Corresponding supervised model using partial least squares discriminant analysis (PLS-DA) shows metabolic divergence between groups, particularly between PMD, CKD3-5, and controls. PMD primary mitochondrial disease, SMD suspected mitochondrial dysfunction, CKD chronic kidney disease

    Article Snippet: Multivariate analysis (MVA) trough Principal component analysis (PCA) and partial-least-squares discriminant analysis (PLS-DA) models (SIMCA-P 11.5, Umetrics, Umeå, Sweden), were performed on full resolution 1 H NMR spectra, after unit variance (UV) scaling of the spectra.

    Techniques: Metabolomic, Control

    Supervised multivariate models and spectral features associated with mitochondrial disorders. I. Partial Least Squares Discriminant Analysis (PLS-DA) models were generated to compare patients with PMD to: A controls, B SMD, C . CKD stages 1–2, and D . CKD stages 3–5. The corresponding Q² values, indicate the predictive performance of each model. Clear discrimination was observed between PMD and controls (Q² = 0.53), and both CKD subgroups (Q² = 0.62 and 0.78). In contrast, the model comparing PMD to SMD showed lower predictive performance (Q² = 0.25), reflecting significant metabolic overlap. II. Corresponding loadings plot of model A, color-coded by variable importance in projection (VIP) scores for the first latent variable (LV1) highlighting spectral regions that contribute most to the separation between PMD and controls. (regions around 1.2–2.5 ppm and 3.0–4.5 ppm, consistent with metabolites involved in amino acid metabolism, organic acids, and energy-related pathways). Three-letter code used for amino acids. Abbreviations: 3-HBA: 3-hydroxybutyrate; 4-HPA: 4-hydroxyphenylacetate; N -PhAcGly: N -phenylacetylglycine. Ui: resonances at chemical shift i, which remain unassigned (or with tentative assignment)

    Journal: Metabolomics

    Article Title: NMR-based urinary biomarkers in pediatric primary mitochondrial disorders and chronic kidney disease: shared mitochondrial dysfunction, diverging biosignatures

    doi: 10.1007/s11306-025-02363-8

    Figure Lengend Snippet: Supervised multivariate models and spectral features associated with mitochondrial disorders. I. Partial Least Squares Discriminant Analysis (PLS-DA) models were generated to compare patients with PMD to: A controls, B SMD, C . CKD stages 1–2, and D . CKD stages 3–5. The corresponding Q² values, indicate the predictive performance of each model. Clear discrimination was observed between PMD and controls (Q² = 0.53), and both CKD subgroups (Q² = 0.62 and 0.78). In contrast, the model comparing PMD to SMD showed lower predictive performance (Q² = 0.25), reflecting significant metabolic overlap. II. Corresponding loadings plot of model A, color-coded by variable importance in projection (VIP) scores for the first latent variable (LV1) highlighting spectral regions that contribute most to the separation between PMD and controls. (regions around 1.2–2.5 ppm and 3.0–4.5 ppm, consistent with metabolites involved in amino acid metabolism, organic acids, and energy-related pathways). Three-letter code used for amino acids. Abbreviations: 3-HBA: 3-hydroxybutyrate; 4-HPA: 4-hydroxyphenylacetate; N -PhAcGly: N -phenylacetylglycine. Ui: resonances at chemical shift i, which remain unassigned (or with tentative assignment)

    Article Snippet: Multivariate analysis (MVA) trough Principal component analysis (PCA) and partial-least-squares discriminant analysis (PLS-DA) models (SIMCA-P 11.5, Umetrics, Umeå, Sweden), were performed on full resolution 1 H NMR spectra, after unit variance (UV) scaling of the spectra.

    Techniques: Generated