Partial Least Squares-Structural Equation Modeling (PLS-SEM) Analysis of Team Success Using R
نویسندگان
چکیده
منابع مشابه
Structural Equation Modeling (SEM) Using SmartPLS Software: Analyzing Path Models Using Partial Least Squares (PLS) Based SEM
This ‘hands-on’ workshop will demonstrate how to obtain and use sophisticated, but (currently) free, visual software for assessing the measurement and structural model characteristics of path-based SEM quantitative models using a partial least squares (PLS) approach. The workshop will be presented as a teaching aid for faculty, doctoral students, and for other researchers who are engaged in SEM...
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Over the past 15 years, the use of Partial Least Squares (PLS) in academic research has enjoyed increasing popularity in many social sciences including Information Systems, marketing, and organizational behavior. PLS can be considered an alternative to covariance-based SEM and has greater flexibility in handling various modeling problems in situations where it is difficult to meet the hard assu...
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BACKGROUND: Increasing the incidence of natural disasters around the world has led to increased concerns about the social and economic development of developed countries. Natural disasters are inevitable, but they can be taken to reduce their negative impacts on countries. Organizations involved in managing these crises must regulate their supply chain and make the necessary changes to improve ...
متن کاملPartial Least Squares Regression (PLS)
Number of latents The same number of factors will be extracted for PLS responses as for PLS factors. The researcher must specify how many latents to extract (in SPSS the default is 5). There is no one criterion for deciding how many latents to employ. Common alternatives are: 1. Cross-validating the model with increasing numbers of factors, then choosing the number with minimum prediction error...
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Pls regression is a recent technique that generalizes and combines features from principal component analysis and multiple regression. It is particularly useful when we need to predict a set of dependent variables from a (very) large set of independent variables (i.e., predictors). It originated in the social sciences (specifically economy, Herman Wold 1966) but became popular first in chemomet...
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ژورنال
عنوان ژورنال: International Journal of Sport, Exercise & Training Sciences
سال: 2019
ISSN: 2149-8229
DOI: 10.18826/useeabd.628653