Model specification is the process of determining the structure and form of a statistical model, which includes selecting the relevant variables and defining their relationships within the model. This step is crucial in ensuring that the model accurately reflects the underlying theory and data, influencing the validity and reliability of the results obtained from the analysis. Proper model specification helps researchers identify how different factors are interconnected and impacts the interpretation of findings.
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