The independent variable is the factor that the researcher systematically varies or manipulates to observe its impact on the dependent variable. It is considered the presumed cause in a cause–effect relationship tested in an experiment. By changing levels of the independent variable while controlling other influences, the researcher can examine how outcomes respond. Therefore, the variable that is deliberately manipulated is rightly termed the independent variable.
Option A:
The independent variable is chosen based on theoretical expectations that it will influence the outcome of interest, such as teaching method or training programme. It is under direct control of the researcher within the experimental setting. This makes independent variable the correct completion of the stem.
Option B:
The dependent variable is the outcome or response that is measured to assess the effect of the independent variable. It is not directly manipulated but observed for changes as conditions vary. Hence, dependent variable does not match the description of the variable that is deliberately manipulated.
Option C:
A control variable is an extraneous factor that the researcher holds constant to prevent it from confounding the relationship between independent and dependent variables. Although it is regulated, it is not the variable whose different levels are being intentionally varied to test effects. Thus, control variable is not the correct answer.
Option D:
Extraneous variables are unwanted factors that may influence the dependent variable and threaten internal validity if not controlled. They are usually not intentionally manipulated but need to be minimised or accounted for. Therefore, extraneous variable cannot complete the stem accurately.
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