The mediating effect of parental involvement between family socioeconomic status and academic performance: Meta-analysis structural equation modeling

Trait impulsivity has long been proposed to play a role in aggression, but the results across studies have been mixed. One possible explanation for the mixed results is that impulsivity is a multifaceted construct and some, but not all, facets are related to aggression. The goal of the current meta-analysis was to determine the relation between the different facets of impulsivity (i.e., negative urgency, positive urgency, lack of premeditation, lack of perseverance, and sensation seeking) and aggression. The results from 93 papers with 105 unique samples (N = 36, 215) showed significant and small-to-medium correlations between each facet of impulsivity and aggression across several different forms of aggression, with more impulsivity being associated with more aggression. Moreover, negative urgency (r = .24, 95% [.18, .29]), positive urgency (r = .34, 95% [.19, .44]), and lack of premeditation (r = .23, 95% [.20, .26]) had significantly stronger associations with aggression than the other scales (rs < .18). Two-stage meta-analytic structural equation modeling showed that these effects were not due to overlap among facets of impulsivity. These results help advance the field of aggression research by clarifying the role of impulsivity and may be of interest to researchers and practitioners in several disciplines.

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The Model of Goal-Directed Behavior in Tourism and Hospitality: A Meta-analytic Structural Equation Modeling Approach

Journal of Travel Research ◽

10.1177/0047287521991242 ◽

2021 ◽

pp. 004728752199124

Author(s):

Weisheng Chiu ◽

Heetae Cho

Keyword(s):

Structural Equation Modeling ◽

Cultural Differences ◽

Structural Equation ◽

Meta Analysis ◽

Equation Modeling ◽

Causal Relationships ◽

Eastern Culture ◽

Analytic Review ◽

Tourism And Hospitality ◽

Goal Directed Behavior

The model of goal-directed behavior (MGB) has been widely utilized to explore consumer behavior in the fields of tourism and hospitality. However, prior studies have demonstrated inconsistent findings with respect to the causal relationships of the MGB variables. To address this issue, we conducted a meta-analytic review based on studies that had previously applied MGB. Moreover, we compared the cultural differences that emerged within MGB. By reviewing and analyzing 37 studies with 39 samples ( N = 14,581), this study found that among the causal relationships within MGB, positive anticipated emotion was the most influential determinant in the formation of consumer desire. In addition, different patterns of causal relationships between Eastern culture and Western culture were identified within MGB. This article is the first meta-analysis to address the application of MGB in tourism and hospitality and, thus, contributes to the theoretical advancement of MGB.

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Fostering Product Innovation Through Digital Transformation and Absorptive Capacity

International Journal of Innovation and Technology Management ◽

10.1142/s0219877020500406 ◽

2020 ◽

Vol 17 (06) ◽

pp. 2050040

Author(s):

Alejandro Coronado-Medina ◽

Jose Arias-Pérez ◽

Geovanny Perdomo-Charry

Keyword(s):

Structural Equation Modeling ◽

Survey Data ◽

Absorptive Capacity ◽

Product Innovation ◽

Structural Equation ◽

Digital Transformation ◽

Mediating Effect ◽

Equation Modeling ◽

The Relationship

This paper analyzes the mediating effect of absorptive capacity (AC) on the relationship between digital transformation from e-business capabilities (EBC) perspective and product innovation (PI). Structural equation modeling (SEM) was carried out with the survey data from a sample of firms that belong mainly to highly digitalized sectors. The results indicate the existence of a full mediation, which means knowledge derived from the digital operation of the business can only result in PI if AC plays an intermediation role. Hence, this finding calls into question the idea that digitalization alone and automatically acts as a PI driver.

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Effects of Socioeconomic Status and Social Support on Violence against Pregnant Women: A Structural Equation Modeling Analysis

PLoS ONE ◽

10.1371/journal.pone.0170469 ◽

2017 ◽

Vol 12 (1) ◽

pp. e0170469 ◽

Cited By ~ 11

Author(s):

Marizélia Rodrigues Costa Ribeiro ◽

Antônio Augusto Moura da Silva ◽

Maria Teresa Seabra Soares de Britto e Alves ◽

Rosângela Fernandes Lucena Batista ◽

Cecília Cláudia Costa Ribeiro ◽

...

Keyword(s):

Social Support ◽

Socioeconomic Status ◽

Structural Equation Modeling ◽

Pregnant Women ◽

Structural Equation ◽

Equation Modeling ◽

Modeling Analysis ◽

Structural Equation Modeling Analysis

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The Roles of Initial Mathematics, Reading, and Cognitive Skills in Subsequent Mathematics Performance: A Meta-Analytic Structural Equation Modeling Approach

Review of Educational Research ◽

10.3102/00346543211054576 ◽

2021 ◽

pp. 003465432110545

Author(s):

Xin Lin ◽

Sarah R. Powell

Keyword(s):

Working Memory ◽

Structural Equation Modeling ◽

Cognitive Skills ◽

Structural Equation ◽

Meta Analysis ◽

Time Lag ◽

Mathematics Performance ◽

Equation Modeling ◽

Word Problem Solving ◽

Significant Moderator

In the present meta-analysis, we systematically investigated the relative contributions of students’ initial mathematics, reading, and cognitive skills on subsequent mathematics performance measured at least 3 months later. With one-stage meta-analytic structural equation modeling, we conducted analyses based on 580,437 students from 265 independent samples and 250 studies. Findings suggested fluency in both mathematics and reading, as well as working memory, yielded greater impacts on subsequent mathematics performance. Age emerged as a significant moderator in the model, such that the effects of comprehensive mathematics and working memory on subsequent mathematics increased with age, whereas attention and self-regulation’s impacts declined with age. Time lag between assessments also emerged as a significant moderator, such that the effects of word-problem solving and word recognition accuracy decreased as the time lag increased, whereas vocabulary, attention, and self-regulation’s effects increased as the time lag increased.

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Predicting Student Academic Performance

International Journal of Knowledge Management ◽

10.4018/ijkm.2014070102 ◽

2014 ◽

Vol 10 (3) ◽

pp. 18-35 ◽

Cited By ~ 1

Author(s):

M.M. Haris Aslam ◽

Ahmed F. Siddiqi ◽

Khuram Shahzad ◽

Sami Ullah Bajwa

Keyword(s):

Academic Performance ◽

Structural Equation Modeling ◽

University Students ◽

Knowledge Sharing ◽

Structural Equation ◽

Outcome Expectations ◽

Academic Community ◽

Equation Modeling ◽

Student Academic Performance

The biggest challenge in nurturing an academic community is encouraging knowledge sharing among its members. Literature on communities, however, has paid less attention on the role of outcome expectations in encouraging the knowledge sharing behaviors. This study examines the effects of Personal Outcome Expectations (POE) and Community-related Outcome Expectations (COE) on the knowledge sharing behaviors of students and its consequent impact on their academic performance. In order to study these relationships a survey of university students was conducted. Based on structural equation modeling approach, it was found that COE have significant impact on knowledge sharing among the students.

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