A research study is a scientific way to improve or develop new methods of various subject i.e. IT & ICT, Education, Health, Environment, Rural and Women & Child care etc . Studies are designed to answer specific questions on how to prevent, diagnose, or treat diseases and disorders. Many types of research studies exist. For example, clinical trials test new suggestion or devices. Other studies use interviews or surveys to understand health or behavior Infova Foundation is having expertise in conducting research studies to health, education, livelihood, disaster management, Child rights, and animal welfare etc. The Research team-having expertise of research analysis and also use of modern research and data analysis tools.
The control group: made up of individuals who are randomly assigned to a group but do not receive the treatment. The measures takes from the control group are then compared to those in the experimental group to determine if the treatment had an effect.
The experimental group: made up of individuals who are randomly assigned to the group and then receive the treatment. The scores of these participants are compared to those in the control group to determine if the treatment had an effect.
Once the data from the simple experiment has been gathered, researchers then compare the results of the experimental group to those of the control group to determine if the treatment had an effect. How do researchers determine this effect? Due to the always present possibility of errors, we can never be 100% sure of the relationship between two variables. However, there are ways to determine if there most likely is a meaningful relationship.
Experimenters use inferential statistics to determine if the results of an experiment are meaningful. Inferential statistics is a branch of science that deals with drawing inferences about a population based upon measures taken from a representative sample of that population.
The key to determining if a treatment had an effect is to measure the statistical significance. Statistical significance shows that the relationship between the variables is probably not due to mere chance and that a real relationship most likely exists between the two variables.
When most people think of scientific experimentation, research on cause and effect is most often brought to mind. Experiments on causal relationships investigate the effect of one or more variables on one or more outcome variables. This type of research also determines if one variable causes another variable to occur or change. An example of this type of research would be altering the amount of a treatment and measuring the effect on study participants.