Sentence examples for examine causal from inspiring English sources
The phrase "examine causal" is grammatically correct and can be used in written English
You can use this phrase when discussing the cause and effect relationship between two or more variables or events. For instance: "The study aimed to examine causal factors in the increasing rates of childhood obesity." Here, "examine causal" is used to show that the study is investigating the potential causes of childhood obesity. Another example: "Before making any changes to the company's policies, management must carefully examine causal relationships to determine potential outcomes." In this sentence, "examine causal" is used to emphasize the importance of understanding the cause and effect before making any changes.
Future studies should utilize longitudinal design to examine causal relationships between variables.
Professor Huang uses experiments to tightly examine causal processes, and field studies to test these findings in the real world, such as launching loyalty programs with local restaurants and conducting charity campaigns with nonprofit organizations.
Electrical microstimulation is used widely in experimental neurophysiology to examine causal links between specific brain areas and their behavioral functions and is used clinically to treat neurological and psychiatric disorders in patients.
Taken together, these findings support a neural diathesis-stress model of psychosis and future studies, designed to examine causal relationships, stand to inform both our understanding of pathogenic processes in the high-risk period as well as early intervention efforts.
These studies did not examine causal factors, which are likely to encourage a person to choose an entrepreneurial career.
The paper seeks to examine causal relationships between predictability and accountability practices and FTA and trade growth using panel data of countries affected by several factors during the period 2000 2016.
This study examined causal attributions about BPSD among individuals caring for a family member with dementia.
Using structural equation modeling techniques, this study examines causal models of driving avoidance and exposure among older adults.
To assess the current status of Mendelian randomization (MR) approach in effectively influencing the observational epidemiology for examining causal relationships.
FGCMs are used for evaluating, modelling and aiding decision-making by examining causal relations among relevant domain concepts.
Specifically, this paper examines causal mapping's theoretical grounding, explores its strengths and weakness, presents example applications, compares alternative causal mapping approaches, and overall, explains how causal mapping can support a systemic perspective on projects.
