Nonlinear least-squares regression analysis by a simplex method using differential equations containing michaelis-menten type rate constants

1989 ◽  
Vol 10 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Kazuo Murata ◽  
Keiichi Kohno
Keyword(s):  
Regression Analysis ◽  
Differential Equations ◽  
Least Squares ◽  
Rate Constants ◽  
Simplex Method ◽  
Nonlinear Least Squares ◽  
Least Squares Regression ◽  
Type Rate

Contribution of Mindfulness to Individuals' Tendency to Believe and Share Social Media Content

2020 ◽  
pp. 858-878
Author(s):  
Peerayuth Charoensukmongkol
Keyword(s):  
College Students ◽  
Social Media ◽  
Regression Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Media Content ◽  
Positive Contribution ◽  
Full Time ◽  
Direct Link ◽  
Least Squares Regression

The objective of this research was to explore the effect of mindfulness on individuals' tendencies to believe social media content and share it without realizing the potential consequences. The sample used in this study comprised 300 participants in Bangkok, Thailand, of whom 157 were full-time employees and 143 were college students. Results from partial least squares regression analysis supports the hypothesis that individuals who exhibit higher levels of mindfulness tend to be skeptical of the validity of information to which they are exposed. In addition, skepticism is linked to a decreased tendency to believe social media content and to share content on social media. The findings further support a direct link between mindfulness and a decreased tendency to share social media content. Overall, these findings confirm the positive contribution of mindfulness as a quality that may allow individuals to question the validity of social media content before they decide to believe it and share it with others.

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