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.

scholarly journals The reasoned action approach applied to health behavior: Role of past behavior and test of some key moderators using meta-analytic structural equation modeling

2018 ◽  
Author(s):  
Martin S Hagger ◽  
Juho Polet ◽  
Taru Lintunen
Keyword(s):  
Structural Equation Modeling ◽  
Health Behavior ◽  
Indirect Effects ◽  
Structural Equation ◽  
Social Cognitive ◽  
Reasoned Action ◽  
Equation Modeling ◽  
Reasoned Action Approach ◽  
Data Set ◽  
Past Behavior

Rationale: The reasoned action approach (RAA) is a social cognitive model that outlines the determinants of intentional behavior. Primary and meta-analytic studies support RAA predictions in multiple health behaviors. However, including past behavior as a predictor in the RAA may attenuate model effects. Direct effects of past behavior on behavior may reflect non-conscious processes while indirect effects of past behavior through social cognitive variables may represent reasoned processes. Objective: The present study extended a previous meta-analysis of the RAA by including effects of past behavior. The analysis also tested effects of candidate moderators of model predictions: behavioral frequency, behavior type, and measurement lag.Method: We augmented a previous meta-analytic data set with correlations between model constructs and past behavior. We tested RAA models that included and excluded past behavior using meta-analytic structural equation modeling and compared the effects. Separate models were estimated in studies on high and low frequency behaviors, studies on different types of behavior, and studies with longer and shorter measurement lag.Results: Including past behavior attenuated model effects, particularly the direct effect of intentions on behavior, and indirect effects of experiential attitudes, descriptive norms, and capacity on behavior through intentions. Moderator analyses revealed larger intention-behavior and past behavior-behavior effects in high frequency studies, but the differences were not significant. No other notable moderator effects were observed.Conclusion: Findings indicate a prominent role for habitual processes in determining health behavior and inclusion of past behavior in RAA tests is important to yield precise estimates of model effects.

scholarly journals The Influence of Leader Encouragement of Creativity on Innovation Speed: Findings from SEM and fsQCA

2019 ◽  
Vol 11 (9) ◽  
pp. 2693 ◽  
Author(s):  
Cong Cheng ◽  
Liebing Cao ◽  
Huihui Zhong ◽  
Yining He ◽  
Jiahong Qian
Keyword(s):  
Structural Equation Modeling ◽  
Qualitative Analysis ◽  
Fuzzy Set ◽  
Creative Process ◽  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Organizational Ambidexterity ◽  
Data Set ◽  
The Impact

Adopting the empowerment perspective of leadership, this study proposes and examines the mediating model that leader encouragement of creativity affects innovation speed through strengthening employees’ engagement in the creative process. Using a sample of 245 participants in China, the results from structural equation modeling (SEM) suggest that the impact of leader encouragement of creativity on innovation speed is significantly mediated by creative process engagement, and positively moderated by organizational ambidexterity at the same time. Additionally, the results from fuzzy-set comparative qualitative analysis (fsQCA) with the same data set reveal that the aforementioned factors have a holistic effect on enhancing innovation speed. The results of fsQCA reinforce and refine the findings of the SEM analysis concerning the limits and conditions for how leader encouragement of creativity affects innovation speed.

A Comparison of Accuracy Based on Data Imputation between Unconstrained Structural Equation Modeling and Weighted Least Squares Regression

2011 ◽  
Vol 130-134 ◽  
pp. 730-733
Author(s):  
Narong Phothi ◽  
Somchai Prakancharoen
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Structural Equation ◽  
Weighted Least Squares ◽  
Equation Modeling ◽  
Data Imputation ◽  
Least Squares Regression ◽  
Waveform Generator ◽  
Data Set ◽  
Testing Group

This research proposed a comparison of accuracy based on data imputation between unconstrained structural equation modeling (Uncon-SEM) and weighted least squares (WLS) regression. This model is developed by University of California, Irvine (UCI) and measured using the mean magnitude of relative error (MMRE). Experimental data set is created using the waveform generator that contained 21 indicators (1,200 samples) and divided into two groups (1,000 for training and 200 for testing groups). In fact, training group was analyzed by three main factors (F1, F2, and F3) for creating the models. The result of the experiment show MMRE of Uncon-SEM method based on the testing group is 34.29% (accuracy is 65.71%). In contrast, WLS method produces MMRE for testing group is 55.54% (accuracy is 44.46%). So, Uncon-SEM is high accuracy and MMRE than WLS method that is 21.25%.

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).

Building Satisfaction and Loyalty During a Musical Benefit Event: A Consumer-Based Approach

2019 ◽  
Vol 48 (6) ◽  
pp. 1250-1271
Author(s):  
Jeanne Albouy ◽  
Jean-Philippe Galan ◽  
Laurent Maubisson
Keyword(s):  
Quality Of Service ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Behavioral Outcomes ◽  
Equation Modeling ◽  
Positive Word ◽  
Direct Effects ◽  
Positive Word Of Mouth

This research addresses the respective importance of the charitable, experiential, and service-based dimensions associated with benefit concerts. Through a consumer-based approach, we examine the effects of three antecedents (charitable scope, immersion, and quality of service) on satisfaction and behavioral outcomes (loyalty and positive word-of-mouth). Data collected on site immediately after a charity concert are analyzed with structural equation modeling. The state of immersion and the event’s charitable scope enhance the overall satisfaction, which, in turn, fosters the behavioral outcomes. Direct effects are identified; satisfaction is influenced more by immersion, whereas behavioral outcomes depend more on charitable scope. The type of initial motivation moderates the findings: The quality of service enhances satisfaction only among attendees with other-focused motivation, immersion improves satisfaction if the motivation is self-focused, and charitable scope remains an important factor of satisfaction regardless of the type of motivation.

Safety in Indian Coal Mines – Where Do We Go from Here

2012 ◽  
Vol 2 (1) ◽  
Author(s):  
Partha Sarathi Paul
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Oil And Gas ◽  
Mining Industry ◽  
Oil And Gas Industry ◽  
Mine Safety ◽  
Equation Modeling ◽  
Data Set ◽  
Wide Range ◽  
Technical Factors

The 20th century has experienced a considerable amount of success in coal mine safety in India. The mining industry has for many years focused on injury prevention at the workplace through procedures and training, and has achieved considerable success. However, the statistics on major accident events such as fatalities and reportable incidents has not shown the corresponding levels of improvement. In the area of major hazards control, the mining industry approach has emphasized mainly on past experiences and lessons learnt, while other high hazard industries such as the chemical process industry and oil and gas industry have taken system safety techniques to new highs. A literature review on quantitative analysis of mine safely studies revealed that numerous investigators explored a wide- range of techniques, including the investigation of bivariate and multivariate statistical models. It is inferred that the use of these quantitative techniques can provide a new direction of research in mine-safety studies. The important aspect, which was explored in this study through structural equation modeling, is the sequential interrelationships amongst the personal, social, and technical factors leading to accident/injury causation. Interestingly, the accidentinvolved workers are more job stressed, more job dissatisfied and hence, less job involved and often get bored with their jobs. The level of dissatisfaction in mines is quite expected. Further research should be performed using national data set so that the findings can be generalized to all segments of the mining industry.   Keywords - Mine Safety, Quantitative Risk Analysis, Structural Equation Modeling, Personal, Social and Technical Factors

scholarly journals The Effect of Weighting Data on the Goodness of Fit Indicators of the Six Sigma Structural Equation Modeling

2021 ◽  
Vol 2 (2) ◽  
pp. 36-49
Author(s):  
Mohammed Al-Ghmadi ◽  
Ezz Abdelfattah ◽  
Ahmed Ezz
Keyword(s):  
Structural Equation Modeling ◽  
Covariance Matrix ◽  
Six Sigma ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Estimation Method ◽  
Equation Modeling ◽  
Rank Test ◽  
Data Set ◽  
Variance Covariance Matrix

The main core of Structural Equation Modeling (SEM) is the parameter estimation process. This process implies a variance-covariance matrix Σ that is close as possible to the sample variance-covariance matrix of data input (S). The six Sigma survey uses ordinal (rank) values from 1 to 5. There are several weighted correlation coefficients that overcome the problems of assigning equal weights to each rank and provide a locally most powerful rank test. This paper extends the SEM estimation method by adding the ordinal weighted techniques to enhance the goodness of fit indicators.  A two data sets of the Six Sigma model with different statistics properties are used to investigate this idea.   The weight 1.3 enhances the goodness of fit indicators with data set that has a negative skewness, and the weight 0.7 enhances the goodness of fit indicators with data set that has a positive skewness through treating the top-rankings.

An Analysis of the Factors Influencing the Adoption of Online Shopping

2021 ◽  
pp. 363-384
Author(s):  
Ali Tarhini ◽  
Ali Abdallah Alalwan ◽  
Nabeel Al-Qirim ◽  
Raed Algharabat ◽  
Ra'ed Masa'deh
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Online Shopping ◽  
Product Variety ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Is Success ◽  
Factors Influencing ◽  
Effort Expectancy ◽  
The Uk

This article aims to identify the main influencing factors that may influence the adoption of online shopping in the UK by integrating Unified Theory of Acceptance and Use of Technology2 (UTAUT2) and DeLone-McLean model of IS Success with trust (TR), product variety (PRDV) and product guarantee. Data was collected from 388 British online shopping consumers using a structured self-administrated questionnaire. Structural equation modeling (SEM) showed that behavioural intention (BI) was influenced by performance expectancy (PE), convenience (CON), service quality (SerQ), trust (TR), product guarantee (PG), product guarantee (PRDV) and compatibility (COMP), in their order of influencing strength and all together accounted for 70.4% of the variance in BI. Contrary to the authors' expectations, effort expectancy (EE) and social influence (SI) did not have an influence on BI. The implications of this article to both theory and practice is discussed at the end.

scholarly journals Measuring Customer Based Brand Equity: A Case of Heineken from the Beer Market in Vietnam

2017 ◽  
Vol 13 (3) ◽  
pp. 177 ◽  
Author(s):  
Tran Trung Vinh
Keyword(s):  
Structural Equation Modeling ◽  
Brand Equity ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Brand Awareness ◽  
Equation Modeling ◽  
Direct Effects ◽  
Brand Association ◽  
Equity Model ◽  
Structured Questionnaire

This study aims at examining the practicality of a customer-based brand equity model with a case of Heineken in the Vietnamese beer market. Based on a sample of 322 consumers by using a structured questionnaire, structural equation modeling (SEM) is applied to test hypotheses. The result reveals that perceived quality, brand awareness, brand association and brand loyalty have positive and direct effects on overall brand equity. These findings have implications for marketers.

scholarly journals Online Consumer Satisfaction During COVID-19: Perspective of a Developing Country

2021 ◽  
Vol 12 ◽  
Author(s):  
Yonghui Rao ◽  
Aysha Saleem ◽  
Wizra Saeed ◽  
Junaid Ul Haq
Keyword(s):  
Consumer Satisfaction ◽  
Structural Equation ◽  
Study Data ◽  
Equation Modeling ◽  
Data Set ◽  
Actual Experience ◽  
Confirmatory Factor ◽  
Online Consumer ◽  
The Difference ◽  
Antecedents And Consequences

A conceptual model based on the antecedents and consequences of online consumer satisfaction has been proposed and empirically proved in this study. Data were collected during Smart Lockdown of COVID-19 from 800 respondents to observe the difference between perceived and actual, and direct and indirect e-stores. Confirmatory factor analysis was used to observe the validity of the data set. The structural equation modeling technique was used to test the hypotheses. The findings indicated that consumers feel more satisfied when they shop through direct e-store than indirect e-store, whereas their perception and actual experience are different. Implications have also been added to the study.

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