Estudo das relações entre variáveis segundo análises de moderação e mediação (Examining relationships between variables through moderation and mediation analyses)

Empirical evidence-based practice has increasingly become a requirement in professional settings. Within this context, psychological research plays a pivotal role in society, providing insights that guide psychologists across various domains. These findings help identify interventions with a higher likelihood of success, whether for individuals or groups, or organizational strategies to foster greater employee engagement.For instance, consider investigating whether the number of hours children spend on violent games impacts their levels of aggressiveness at school. This poses a valuable research question. Similarly, we might explore whether the time children spend on homework influences academic performance. In both cases, a simple linear regression analysis could be used to assess how the independent variable (hours spent on violent games or homework) predicts the dependent variable (aggressiveness or academic performance). However, concluding that aggressiveness or academic performance depends on a single predictor may be overly simplistic, prompting us to consider multiple predictors using multiple linear regression analysis.The real world, however, is inherently complex, and human behavior is influenced by multiple factors. This complexity raises the question of whether the predictions for aggressiveness or academic performance are influenced by other characteristics of the environment or the children themselves. For example, building on scientific literature and prior empirical studies, we might hypothesize that the relationship between violent games and school aggressiveness differs by gender. Suppose we predict a weak association between hours spent on violent games and aggressiveness for girls, but a strong association for boys. In this scenario, the variable "student gender" would moderate the relationship between violent games and aggressiveness. To investigate such moderating effects within subgroups (e.g., boys and girls), a moderation analysis is required. This approach is a key focus of the present chapter.

Publication Details

Journal
Repository@Hull (Worktribe) (University of Hull)
Published
2024-11-27
Primary Topic
Bullying, Victimization, and Aggression
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estudo das relações entre variáveis segundo análises de moderação e mediação (Examining relationships between variables through moderation and mediation analyses)

Repository@Hull (Worktribe) (University of Hull)
Bullying, Victimization, and Aggression
article

Estudo das relações entre variáveis segundo análises de moderação e mediação (Examining relationships between variables through moderation and mediation analyses)

article en

Abstract

Empirical evidence-based practice has increasingly become a requirement in professional settings. Within this context, psychological research plays a pivotal role in society, providing insights that guide psychologists across various domains. These findings help identify interventions with a higher likelihood of success, whether for individuals or groups, or organizational strategies to foster greater employee engagement.For instance, consider investigating whether the number of hours children spend on violent games impacts their levels of aggressiveness at school. This poses a valuable research question. Similarly, we might explore whether the time children spend on homework influences academic performance. In both cases, a simple linear regression analysis could be used to assess how the independent variable (hours spent on violent games or homework) predicts the dependent variable (aggressiveness or academic performance). However, concluding that aggressiveness or academic performance depends on a single predictor may be overly simplistic, prompting us to consider multiple predictors using multiple linear regression analysis.The real world, however, is inherently complex, and human behavior is influenced by multiple factors. This complexity raises the question of whether the predictions for aggressiveness or academic performance are influenced by other characteristics of the environment or the children themselves. For example, building on scientific literature and prior empirical studies, we might hypothesize that the relationship between violent games and school aggressiveness differs by gender. Suppose we predict a weak association between hours spent on violent games and aggressiveness for girls, but a strong association for boys. In this scenario, the variable "student gender" would moderate the relationship between violent games and aggressiveness. To investigate such moderating effects within subgroups (e.g., boys and girls), a moderation analysis is required. This approach is a key focus of the present chapter.

Repository@Hull (Worktribe) (University of Hull)
Gender equality
Openalex Percentile: Top 40%
Bullying, Victimization, and Aggression
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Estudo das relações entre variáveis segundo análises de moderação e mediação (Examining relationships between variables through moderation and mediation analyses) · Repository@Hull (Worktribe) (University of Hull) (2024) | TGRS Research Map | TGRS