Independent Variables Affect Research Results
Independent Variables Are Variables That Affect Research Results. Really? Variables have multiple meanings from any reputable expert or site. One of the meanings quoted from Wikipedia, the variable is the object or focus of research.
Meanwhile, according to Sugiyono (2009: 38) which explains that variables are everything in any form, which has been determined by researchers to be studied so that information is obtained.
However, if you look at the KBBI Edition 5, variables have an even easier meaning to understand, namely something that can change; factors that determine change.
These understandings can provide conclusions about the meaning of the variables themselves, namely things that are observed, sought, or investigated in a study.
Variables in a study are something that can be measured, such as items, treatments, time, and other things. For example, when conducting plant growth experiments on the type of fertilizer.
In this experiment, the variables were the type of fertilizer and plant height. The example shows that there are two variables simultaneously in one experiment, namely there are independent variables and dependent variables.
Difference between Independent and Bound Variables
The independent variable is a variable that, if there is a change, is not influenced by the other variables in the experiment. This variable is precisely what will affect the results of the other variables, namely the dependent variable.
Independent variables have many other names, such as independent variables, explanatory variables, controlled variables, factor variables, simulator variables, predictor variables, antecedent variables, and input variables. However, the commonly used names are the independent variable itself and the independent variable.
This independent variable can affect the measured elements. If the researcher changes the independent variable, the dependent variable will also change.
Usually there are researchers who manipulate this variable to relate the phenomena that occur to the observed phenomena. Not infrequently, the results of the dependent variable can vary.
Examples of Free Variables
The independent variable is a variable that has various characteristics attached to it. There are several distinctive characteristics possessed by independent variables, including:
- Independent variables have a high potential for complexity or complexity because they are often confused. This is because many people assume that this variable is a variable that does not depend on any manipulation.
- Predictor variables are often referred to in statistics as a substitute for independent variables. This happened because the variable was deliberately manipulated to help the process of observing the relationship between the two variables, namely the independent variable and the dependent variable. The relationship is usually with several other quantities or can also determine different conditions in conducting experiments.
- When in a very simple experiment, the independent variable has only two values. These values are experimental conditions and control conditions. In the experimental conditions, the independent variables were used as the recipients of the experimental treatment. While in the control conditions, the independent variables are used as the basis for comparing or controlling the effects of the treatments given in the experiment.
- Argument variable is another name for independent variable used in mathematical equations. It can also be a statement whose value determines the dependent variable. The dependent variable is y=(x) and the independent variable is x.
The conclusion that can be drawn from the brief explanation above, the independent variable is a variable that can affect the results of the study or the dependent variable. Although the independent variables can be manipulated, the changes in the independent variables cannot be affected.
