Driver distraction by digital billboards? Structural equation modeling based on naturalistic driving study data: A case study of Iran

2020 ◽  
Vol 72 ◽  
pp. 1-8 ◽  
Author(s):  
Abbas Sheykhfard ◽  
Farshidreza Haghighi
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Study Data ◽  
Driver Distraction ◽  
Equation Modeling ◽  
Naturalistic Driving Study ◽  
Naturalistic Driving ◽  
Digital Billboards

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

How Do Fans Feel? A Case Analysis of Measuring and Modeling Attitudes Using Partial Least Squares Structural Equation Modeling

2016 ◽  
Vol 5 (1) ◽  
pp. 85-88 ◽  
Author(s):  
Lane Wakefield ◽  
Gregg Bennett
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Equation Modeling ◽  
Sport Organizations ◽  
Sports Teams ◽  
Know How ◽  
Fan Communities

Virtual fan communities (VFC) have become very popular among fans of sports teams. A VFC provides an online place for fans to meet and discuss the team, consume media, and develop friendships. Students will learn, in this case study, how to use partial least squares structural equation modeling (PLS-SEM) to assess fan attitudes toward the VFC and sponsors of the firm. Students will also learn how sport organizations can benefit from leadership with statistical know-how. The case is fictional, but it is based on an actual research study conducted in conjunction with a prominent virtual fan community in which ownership had an interest in fans’ attitudes toward their service.

scholarly journals Relationship between social media marketing practices and customer response with mediating role of brand equity dimensions: an empirical investigation

2021 ◽  
Vol 12 (5) ◽  
pp. 1583-1599
Author(s):  
Elmira Shadi ◽  
Ailar Ebrahimi Hesari ◽  
Behzad Shahrabi
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Brand Equity ◽  
Structural Equation ◽  
Study Data ◽  
Social Media Marketing ◽  
Equation Modeling ◽  
Mediating Role ◽  
Survey Sample

This study aims to investigate the relationship between social media marketing practices and customer response with consideration of the mediating role of brand equity dimensions through structural equation modeling in an empirical case study. Data are analyzed using structural equation modeling. The following findings are found: The results show that there is a significant relationship between social media marketing practices and customer response in the survey sample. Additionally, the hypothesis about the mediating role of brand equity dimensions is also supported. The results of our research augment our understanding of the role of social media marketing practices in stimulating customer response (electronic word-of-mouth and commitment) and the role of brand equity dimensions (brand awareness and brand image).

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