Analysis of statistical dependencies between intellectual characteristics and gaming ability, measured with the aid of a computer game

2020 ◽  
pp. 2050066
Author(s):  
A. A. Margolis ◽  
L. S. Kuravsky ◽  
S. L. Artemenkov ◽  
V. K. Voitov ◽  
E. A. Shepeleva ◽  
...  
Keyword(s):  
Computer Games ◽  
Cognitive Abilities ◽  
Structural Equation ◽  
Computer Game ◽  
Educational Process ◽  
Equation Modeling ◽  
Psychological Traits ◽  
High Intelligence ◽  
Game Dynamic ◽  
High Level

The aim of this paper is testing a computer game as an alternative tool for the assessment of intelligence and creativity of school children. The relevance of the research task is determined by the growing interest in practical psychology in the use of computer games as a special diagnostic tool in educational process. There are two original factor models that have been developed and the structural equation modeling of measured parameters has been carried out. The relationships between game dynamic and final individual results in the computer game, on the one hand, and psychometric intelligence and divergent creativity, on the other, are presented. Weak correlation between the above-mentioned and individually measured intellectual and creativity characteristics of the participants with the computer game results was discovered. Consideration of these characteristics in the form of a common latent factor makes it possible to identify the corresponding dependencies only in some cases when there is a dividing the sample into groups according to their ability level. Particularly, the dynamics of game scoring allows to refer participants to the target group with a certain level of abilities (high intelligence and creativity versus low intelligence and creativity), and it is the high level of psychological traits that determines effectiveness in the game behavior, but not vice versa. The qualitative ratios of the two groups of subsets of participants were revealed: weak, medium and strong players and players with three different levels of psychological abilities. The prospects for the further use of computer games for assessment of cognitive abilities in the measurement of combination of psychological abilities are discussed.

scholarly journals Postpartum depression symptoms in survey-based research: a structural equation analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Che Wan Jasimah Bt Wan Mohamed Radzi ◽  
Hashem Salarzadeh Jenatabadi ◽  
Nadia Samsudin
Keyword(s):  
Postpartum Depression ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Public Health Problem ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Postpartum Women ◽  
Unhealthy Food ◽  
High Level

Abstract Background Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women. Methods We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model. Results Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong. Conclusion The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

Customer centricity and guanxi prevalence as social capital: a study of international business relationships

2018 ◽  
Vol 33 (8) ◽  
pp. 1209-1220 ◽  
Author(s):  
Angeline Close Scheinbaum ◽  
Stephen W. Wang
Keyword(s):  
Structural Equation ◽  
Equation Modeling ◽  
Global Business ◽  
Global Marketing ◽  
Logistics Industry ◽  
Content Type ◽  
Global Logistics ◽  
High Level ◽  
Customer Centricity

Purpose This research blends perspectives of the Eastern phenomenon of guanxi with the more Western perspectives of relationship marketing and customer centricity. Extending scholarship on guanxi in marketing (e.g. Park and Luo, 2001; Sheu and Hu, 2009; Luo et al., 2008; Fowler and Reisenwitz, 2014), the objective is to highlight the indirect role of customer centricity (i.e. how visible or central it is for the business partner to communicate with/have information sharing with), for firms in regions with a prevalence of guanxi. Design/methodology/approach The empirical model is tested in context of global marketing in the business-to-business (B2B) logistics industry (n = 508). A total of 508 global logistics employees and managers with experience in global business participated in the survey in Taiwan. Structural equation modeling was used for data analysis with multi-group analyses. Findings Customer centricity intensifies positive outcomes of guanxi prevalence. Specifically, a high level of customer centricity strengthens established associations among guanxi prevalence, trust, relationship commitment and firm performance. Originality/value While most work on guanxi has a focus in China, this research focuses on Taiwan. While building on a wealth of literature, relatively less work has focused on customer centricity.

scholarly journals Do mistakes acceptance foster innovation? Polish and US cross-country study of tacit knowledge sharing in IT

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wioleta Kucharska
Keyword(s):  
Critical Thinking ◽  
Tacit Knowledge ◽  
Risk Taking ◽  
Structural Equation ◽  
Equation Modeling ◽  
Learning Climate ◽  
It Industry ◽  
Content Type ◽  
The Usa ◽  
High Level

Purpose This study aims to understand and compare how the mechanism of innovative processes in the information technology (IT) industry – the most innovative industry worldwide – is shaped in Poland and the USA in terms of tacit knowledge awareness and sharing driven by a culture of knowledge and learning, composed of a learning climate and mistake acceptance. Design/methodology/approach Study samples were drawn from the IT industry in Poland (n = 350) and the USA (n = 370) and analyzed using the structural equation modeling method. Findings True learning derives from mistake acceptance. As a result of a risk-taking attitude and critical thinking, the IT industry in the USA is consistently innovation-oriented. Specifically, external innovations are highly correlated with internal innovations. Moreover, a knowledge culture supports a learning culture via a learning climate. A learning climate is an important facilitator for learning from mistakes. Originality/value This study revealed that a high level of mistake acceptance stimulates a risk-taking attitude that offers a high level of tacit knowledge awareness as a result of critical thinking, but critical thinking without readiness to take a risk is useless for tacit knowledge capturing.

Reciprocity and commitment in online travel communities

2019 ◽  
Vol 119 (2) ◽  
pp. 397-411 ◽  
Author(s):  
Daniel Belanche ◽  
Luis V. Casaló ◽  
Carlos Flavián ◽  
Miguel Guinalíu
Keyword(s):  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Active Participation ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
High Level ◽  
Online Travel

PurposeWith social exchange theory as a basis, the purpose of this paper is to seek a better understanding of advice processes in online travel communities, which offer crucial advice for travelers’ decisions. It also predicts that relational capital variables (commitment, reciprocity perceptions) moderate the main relationships.Design/methodology/approachData from a web survey of 456 users of online travel communities affirm the scale’s validity and provide the input for structural equation modeling and multisample analyses of the hypotheses.FindingsHigher levels of commitment reinforce the effect of following past advice on passive and active participation intentions. Users’ perceptions of reciprocity in the community strengthen the influence of following past advice on active participation. However, a high level of reciprocity causes users following past advice to reduce their intentions to continue following that advice.Practical implicationsManagement tactics should specify active and passive participation in online travel communities. Specifically, to encourage the creation of high-quality new content, community managers should create interactive environments marked by high levels of reciprocity and commitment.Originality/valueThis research elucidates the role of relational capital variables in advice processes and advances understanding of online travel communities.

scholarly journals Pre- and Post-Adoption Beliefs about the Diffusion and Continuation of Biogas-Based Cooking Fuel Technology in Pakistan

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3184 ◽  
Author(s):  
Nazia Yasmin ◽  
Philipp Grundmann
Keyword(s):  
Structural Equation ◽  
Fossil Fuels ◽  
Equation Modeling ◽  
Behavioral Factors ◽  
Performance Expectations ◽  
Energy Technologies ◽  
And Performance ◽  
High Level ◽  
Solid Biomass ◽  
Biogas Technology

A high level of acceptance and adoption is necessary to facilitate the widespread utilization of renewable energy technologies for cooking, as such utilization is essential for displacing the population’s massive dependence on fossil fuels and solid biomass. Economic and demographic aspects have been the focus of recent literature in exploring the adoption phenomenon of biogas technology. However, literature to date has given little attention to the behavioral factors and the perceptions of the end-users. Our study does not only include behavioral factors, but it employs a hybrid model to explore the continued attentions of users based on their post-adoption beliefs and performance expectations. Using a survey conducted in Pakistan in 2017, the study conducts a multivariate analysis through structural equation modeling to measure the effect of pre- and post-adoption beliefs and expectation on adoption and the continuing intention of households towards biogas technology. Results show that the acceptance of the households towards biogas technology is highly influenced by their perceptions on the benefits, as well as their trust in the technology. The perceived cost and risk attached to the technology are found to be negatively correlated with the acceptance. Households’ intentions to continue the use of biogas technology is highly influenced by the satisfaction level of the users of biogas technology. With the integrated model of adoption and continuation, the study illustrates the dynamic process in obtaining a deeper understanding of a user’s behavior to better formulate the policies for increasing the rate of technology adoption.

scholarly journals Visualizing genetic similarity at the symptom level: The example of learning disabilities

2010 ◽  
Vol 33 (2-3) ◽  
pp. 155-157
Author(s):  
Oliver S. P. Davis ◽  
Robert Plomin
Keyword(s):  
Learning Disabilities ◽  
Cognitive Abilities ◽  
Genetic Similarity ◽  
Structural Equation ◽  
Genetic Architecture ◽  
Genetic Factors ◽  
Psychological Traits ◽  
Equation Modelling ◽  
Symptom Level ◽  
Shared Genetic

AbstractPsychological traits and disorders are often interrelated through shared genetic influences. A combination of maximum-likelihood structural equation modelling and multidimensional scaling enables us to open a window onto the genetic architecture at the symptom level, rather than at the level of latent genetic factors. We illustrate this approach using a study of cognitive abilities involving over 5,000 pairs of twins.

scholarly journals Does Online Ratings Matter? An Integrated Framework to Explain Gratifications Needed for Continuance Shopping Intention in Pakistan

2021 ◽  
Vol 13 (17) ◽  
pp. 9538
Author(s):  
Muhammad Waleed Ayub Ghouri ◽  
Linchen Tong ◽  
Muhammad Ali Hussain
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
Online Shopping ◽  
Positive Impact ◽  
Equation Modeling ◽  
Integrated Framework ◽  
Online Ratings ◽  
Asian Emerging Markets ◽  
High Level ◽  
The Impact

Due to the phenomenal growth of e-commerce, online shopping has recently become a worldwide trend. This fosters many online shopping platforms to enter into Asian emerging markets, which evolves a need to understand online decision-making processes in this particular context. Addressing this gap, our study initialized an integrated framework based on Uses and Gratification theory and the Cognitive–Affect–Behavior paradigm to examine the impact of gratification elements on customer satisfaction and convenience enforcing continuance shopping intention. Moreover, we also conceptualize the moderating role of online ratings in our study. In total, 317 valid questionnaires from Pakistani online shoppers were incorporated to statistically test our model using the Structural Equation Modeling (SEM) approach in Amos. Besides, the results confirm the positive impact of layout and functionality on customer satisfaction and convenience, while the impact of PEEIM has been found insignificant. Furthermore, customer satisfaction and convenience are found to be the imperative predictors of continuance shopping intention. Our findings exhibit that a high level of online rating strengthens the direct effect of satisfaction and convenience on continuance intention. Theoretical and practical implications for future scholars and e-commerce shopping platforms are discussed.

scholarly journals The Role of Social Capital for Short-Video Platform Users’ Travel Intentions: SEM and Fsqca Findings

2020 ◽  
Vol 12 (9) ◽  
pp. 3871
Author(s):  
Shan-Shan Liao ◽  
Ching-Yuan Lin ◽  
Ying-Ji Chuang ◽  
Xing-Zheng Xie
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Source Credibility ◽  
Qualitative Comparative Analysis ◽  
Equation Modeling ◽  
Elaboration Likelihood ◽  
Likelihood Model ◽  
Short Video ◽  
High Level

This study examined the antecedents of travel intentions in the context of Chinese short-video platforms. Based on a review of the literature on travel intentions, we proposed an integrated model containing determinants of social capital and an elaboration likelihood model. In total, the data from 496 valid questionnaires were analyzed through structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The SEM findings revealed that the determinants of social capital influenced the characteristics of tourist-generated content (TGC), which in turn affected users’ travel intentions. Homophily and interpersonal influence were direct antecedents of travel intentions, whereas tie strength non-significantly affected travel intentions. The fsQCA results revealed four configurations of the determinants of social capital and TGC characteristics required to achieve a high level of travel intention. Source credibility was discovered to be a necessary but not sufficient condition for travel intention. These findings offer insights for both academics and tourism marketers.

Analisis Faktor-Faktor yang Mempengaruhi Prestasi Mahasiswa Departemen Statistika IPB menggunakan Metode SEM-PLS

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Zunita Sari ◽  
Muhammad Nur Aidi ◽  
La Ode Abdul Rahman
Keyword(s):  
Student Achievement ◽  
Learning Style ◽  
Latent Variables ◽  
Structural Equation ◽  
Visual Learning ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
High Level ◽  
Pls Method

Education is improving human power. Education is divided into three level namely primary, secondary and high level education. High level education can be obtained from University. University as one of high level education, is a formal education place for all studying and teaching activities, research, community service and develop scientific student to become qualified workforce. Student achievement in universities is influenced by various factors that cannot be measured both direct and indirect. The method that is used to determine those factors is structural equation modeling (PPS) with partial least square (PLS) method. PPS with PLS method used when there are some assumptions on diverse PPS which is not fullfiled, like binormal distribution and the big ammount of examples. The results showed that the six exogenous latent variables (family background, motivation, environment, visual learning style, auditory learning style, and kinesthetic learning style) did not have a significant influence on endogenous variables (student achievement). The model used in this study has a R2 value 14.1%. This values ​​indicates that the model built is still weak in explaining the diversity of student achievement.

Tourism Service Quality and Destination Loyalty—The Mediating Role of Perceived Value from International Tourists’ Perspectives

2019 ◽  
Vol 16 (2A) ◽  
Author(s):  
Shaker BaniMelhem ◽  
Mohamed Albaity
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Perceived Value ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Destination Loyalty ◽  
Five Dimensions ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
High Level

Abstract This study is aimed at investigating the direct relationships between service quality dimensions with perceived value and the destination loyalty, in addition to examining the mediating effect of perceived value. Using data from 508 international tourists visiting UAE and applying structural equation modeling we found the following. First, we found a significant and positive relationship between the five dimensions of service quality and perceived value. Second, we found direct, a positive and significant relationship between four service quality dimensions and destination loyalty. In addition, there exists a mediating effect of perceived value on the relationship between all the dimension of service quality and destination loyalty. The relationships of all the service quality dimensions are partially mediated except tangible facilities dimension which is fully mediated by perceived value. The study recommended that destination managers should focus on what make the tourists feel that the value they received is equal or more than what they expected to create positive tourist loyalty behaviour and enhance destination attractiveness. Thus, high level of perceived value service quality provided can be achieved if government and managers fully understand the key importance of providing quality service and continues evaluating and enhancing the quality of service provided. Keywords: destination loyalty, perceived value, service quality dimensions, destination loyalty, tourism sector.

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