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2 years ago in Research Methodology , Statistical Analysis By Owenenawn

What is the appropriate analytical model for examining the simultaneous effects of one continuous and one categorical independent variable on a continuous dependent variable, while accounting for their potential interaction?

I’m designing the analysis for my dissertation's third study, where I need to test main and interaction effects. While I know multiple regression and ANOVA are in the family, I want to be precise in my methodology section and ensure I’m using the correct terminology and model specification for peer review.

 

Statistical Analysis IndependentResearcher HistoricalContinuity

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By Kate Answered 1 year ago

For this common scenario in applied research, I would recommend specifying a multiple regression model with an interaction term. In practice, I've framed this as an Analysis of Covariance (ANCOVA) model when presenting results, as it's conceptually clear to reviewers. You have one continuous covariate and one categorical factor. The key is to correctly code the categorical variable (e.g., dummy coding) and create a product term between it and the continuous variable to explicitly model the interaction. Always center your continuous predictor before creating the interaction term to avoid multicollinearity and aid interpretation.

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