Results 281 to 290 of about 224,914 (338)

Factor selection techniques based on partial least squares for classification to determine the risk factors of sexually transmitted infections. [PDF]

Sci Rep
Liu Z, Sadiq M, Li Z.
europepmc   +1 more source

PL/SQL Without the PL [PDF]

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020
We demonstrate a source-to-source compilation technique that can translate user-defined PL/SQL functions into plain SQL queries. These PL/SQL functions may feature arbitrarily complex control flow-iteration, in particular. From this imperative-style input code we derive equivalent recursive common table expressions, ready for execution on any ...
Denis Hirn, Torsten Grust
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Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook

Structural Equation Modeling: A Multidisciplinary Journal, 2022
Partial Least Squares Structural Equation Modeling (PLSSEM) Using R: A Workbook (Hair et al., 2021) is a workbook based on the textbook: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), (Hair et al., 2017).
Ejike J. Edeh, Wen‐Juo Lo, Jam Khojasteh   +2 more
semanticscholar   +1 more source

Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA

International journal of human computer interactions, 2023
ChatGPT can revolutionize education by enhancing student engagement and making learning more personalized. Drawing on UTAUT2, this study investigated determinants of intention to use ChatGPT for educational purposes. Data were gathered from 406 Malaysian
B. Foroughi, Madugoda Gunaratnege Senali, M. Iranmanesh, Ahmad A. Khanfar, Morteza Ghobakhloo, Nagaletchimee Annamalai, Bita Naghmeh-Abbaspour   +6 more
semanticscholar   +1 more source

When to use and how to report the results of PLS-SEM

European Business Review, 2019
Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting.
Joseph F. Hair, Jeffrey J. Risher, M. Sarstedt, C. Ringle   +3 more
semanticscholar   +1 more source

Gini-PLS Regressions [PDF]

Journal of Quantitative Economics, 2018
Data contamination and excessive correlations between regressors (multicollinearity) constitute a standard and major problem in econometrics. Two techniques enable solving these problems, in separate ways: the Gini regression for the former, and the PLS (partial least squares) regression for the latter.
Mussard, Stéphane, Souissi-Benrejab, Fattouma   +1 more
openaire   +4 more sources

“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances

Journal of Marketing Theory and Practice, 2022
In 2011, the Journal of Marketing Theory & Practice published “PLS-SEM: Indeed a silver bullet,” which became a cornerstone contribution in marketing. Critical reflection of research work is a fundamental building block of science, including one’s own ...
M. Sarstedt, Joseph F. Hair, C. Ringle
semanticscholar   +1 more source

Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT

European Journal of Marketing, 2022
Purpose Researchers often stress the predictive goals of their partial least squares structural equation modeling (PLS-SEM) analyses. However, the method has long lacked a statistical test to compare different models in terms of their predictive ...
P. Sharma, B. Liengaard, Joseph F. Hair, M. Sarstedt, C. Ringle   +4 more
semanticscholar   +1 more source