Modeling of Statistical Reasoning and Students' Academic Performance Relationship through Partial Least Squares-Structural Equation Model (PLS-SEM)
نویسندگان
چکیده
منابع مشابه
An Introduction to Structural Equation Modeling (SEM) and the Partial Least Squares (PLS) Methodology
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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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: Universal Journal of Educational Research
سال: 2020
ISSN: 2332-3205,2332-3213
DOI: 10.13189/ujer.2020.080827