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19 Απρ 2021 · An explanatory variable is what you manipulate or observe changes in (e.g., caffeine dose), while a response variable is what changes as a result (e.g., reaction times). The words “explanatory variable” and “response variable” are often interchangeable with other terms used in research.
9 Σεπ 2020 · In an experimental study, we’re typically interested in how the values of a response variable change as a result of the values of an explanatory variable being changed. The following examples show different scenarios involving explanatory and response variables.
4 Μαΐ 2022 · Explanatory vs response variables. The difference between explanatory and response variables is simple: An explanatory variable is the expected cause, and it explains the results. A response variable is the expected effect, and it responds to explanatory variables.
19 Ιαν 2023 · Difference between Explanatory and Response Variables. Explanatory variables are the variables that can be altered or manipulated in research (for example, a change in dosage) while response variable is the result of manipulation done to the variables (the time it took for the reaction to occur).
In some research studies one variable is used to predict or explain differences in another variable. In those cases, the explanatory variable is used to predict or explain differences in the response variable .
8 Οκτ 2021 · Explanatory variables are the variables that can be altered or manipulated in research ( for example, a change in dosage) while response variables are the results of the manipulation done to the variables.
The explanatory variable is the fertilizer (the variable you manipulate or observe changes in). The response variable is the plant growth (the variable you measure and expect to change as a result of the explanatory variable).
