Experimentation or experimental research is one in which independent variables are manipulated to determine their effect on the dependent variable. The main objective of experimental research is to access the cause and effect relationship among variables. Suppose, we want to test whether a training program has an influence on employee skills. Here, the training program is the independent variable & employee skill is the dependent variable. Now, we take a sample of 50 employees; who are divided into two groups.
At the weekend, we measure the skill of the employees through their productivity (e.g. the
This is an example of experimentation. Here, the
Experiments are widely used in causal research. The researcher’s goal in conducting an experiment is to determine whether changing the experimental independent variable causes changes in the specified dependent variable.
Important Concepts of What is Experimental Research Design
Dependent and independent variables: A concept that might battle completely different quantitative values
Independent variables that don’t seem to be associated with the aim of the study,
Suppose the researcher wants to test the hypothesis that there is
One important characteristic of good research design is to minimize the influence or effect of
When the dependent variable is not free from the influence of extraneous variables(s), the relationship between the dependent and independent variables is said to be confounded by an extraneous variable(s).
When prediction or a hypothesized relationship is to be tested by scientific
Experimental and non-experimental hypothesis testing research:
When the aim of the analysis is to check a research hypothesis, it’s termed hypothesis-testing analysis. It is often of the experimental style or of the non-experimental style.
Experimental and control groups:
In experimental hypothesis-testing research when a group is exposed to usual conditions it is termed a ‘control group’ but when the group is exposed to some novel or special condition, it is termed an experimental group.
The different conditions under which experimental and control groups are put are usually referred to as ‘treatments’. In the illustration taken higher than, the 2 treatments area unit the same old studies program. Similarly, if we would like to work out through AN experiment the comparative impact of 3 kinds of fertilizers on the yield of wheat, in this case, the 3 kinds of fertilizers are treated as 3 treatments.
The process of examining the truth of a statistical hypothesis, relation to some research problem, is known as an experiment. For example, we can conduct an experiment to examine the usefulness of
Experiments can be of two types such
But if we want to determine the impact of one fertilizer as
The pre-determined plots or the blocks, when different treatments are used, are known as experimental units. Such experimental units must be selected (defined) very carefully.