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UNIVERSITY OF CALIFORNIA Santa BarbaraModerated Mediation Analysis of Racial Discrimination on the School Success of Asian American High School Students dissertation submitted in partial satisfaction
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Identify the independent variable, the mediator, the moderator, and the dependent variable.
02
Conduct the mediation analysis to determine if the mediator has a significant effect on the dependent variable.
03
Conduct the moderation analysis to determine if the moderator has a significant effect on the relationship between the independent variable and the mediator.
04
Combine the results of the mediation and moderation analyses to determine if there is a moderated mediation effect.

Who needs moderated mediation analysis of?

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Researchers who are interested in understanding the complex relationships between variables and how they are influenced by a third variable would benefit from conducting moderated mediation analysis.
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Moderated mediation analysis is a statistical method used to examine the relationship between an independent variable, a mediator variable, and a dependent variable, while also evaluating how a moderator variable influences the strength or direction of these relationships.
Researchers and statisticians conducting studies that aim to analyze the interactions between variables in social sciences, psychology, economics, and other fields may be required to file moderated mediation analysis as part of their research reporting.
To fill out a moderated mediation analysis, one needs to define the variables, estimate the relationships using statistical software, and report the results, including estimates for direct and indirect effects along with moderator impacts.
The purpose of moderated mediation analysis is to understand the conditions under which a mediator variable influences the relationship between an independent variable and a dependent variable, providing insights into complex causal relationships.
Information that must be reported includes the model specifications, estimates of direct and indirect effects, significance levels, confidence intervals, and detailed findings regarding the moderator's role in the mediation process.
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