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Independent, Dependent, and Extraneous Variables in Nursing Research

Comparing variable types in research design and two methods researchers use to control extraneous variables for accurate causal inferences.

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Types of Variables

Independent variables are manipulated to explore effects. Dependent variables change due to independent variable manipulation. Extraneous variables are unintended factors that can affect outcomes, causing biases like attrition, sampling, and undercoverage bias (Bhandari, 2021; Bhandari, 2023).

Controlling Extraneous Variables

Standardized procedures ensure fair treatment and reliable data collection. Counterbalancing alternates the order participants perform in conditions. Cero et al. (2021) emphasize appropriate statistical control of confounding variables for effective causal inferences in suicide research.

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