This is due to the fact that their meaning might differ widely from one person to the next. Each person's definition of success or failure may be quite different. One person may say that this community program was successful because it benefited 50% of the residents, while another may argue that the program should help at least 75% of the residents to be called successful. Prejudice might arise as a result of subjectivity in study. To avoid subjectivity in research, concepts should be turned into variables. Variables are quantifiable, making them easy to manage throughout the research process.
In research, there are a variety of definitions.
According to simple definitions, a variable is something that may vary. Variables are concepts that can be measured on any of the available scales. Numerical values can be assigned to variables. Variables may be defined in a variety of ways in research, such as variables are study components that fluctuate and can be measured using a variety of scales. Variables are features or values that may change; they're most typically employed in psychology, but they can be applied in other fields as well.
Examples of variables in research
We'll take a look at two distinct sorts of research variables to see how they impact the research process. Assume you want to find out how permanent-press treatments affect the durability of cotton fabric. Because it is an experiment, it has an independent variable, a dependent variable, and a control variable. The dependent variable will be the cotton fabric, whereas the independent variables will be the permanent-press finishes applied on cotton cloth. There might be a lot of other factors that impact this study, all of which must be taken into account. Extraneous elements, such as the different finishes given to the cotton material, must be controlled in order to see how the independent variable influences the dependent variable in the study.
Assume you want to look into the impact of the tsunami on the religious and social lives of people living on Indonesia's west coast of Sumatra. It's another cause-and-effect study, but this time the dependent variable is people's lives, and the independent factors are tsunami aftereffects. Any other irrelevant variable should be controlled in order to avoid bias in the study. One thing to remember while doing such research or studies is that the control variable must be controlled as well as possible, since it has the ability to derail the entire investigation. Another alternative is to use secondary independent variables for all of the study's other control variables. As more variables are added, the study gets more empirical and valid, but it also becomes more complex. It takes longer to explore the impact of several variables than it does to investigate the impact of a single variable. When extraneous influences are difficult to control, they should be included in investigations.
EDITOR'S SOURCE: Eduprojects
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