A common research assumption is that the sample is representative of a larger population. It can have a negative impact on the generalizability, and even bias the conclusions of a study if it isn’t true. For researchers, it is crucial to consider carefully the method of sampling used and recognize any possible limitations on generalizability.
A second assumption is that measures are reliable and valid. Nevertheless, some measures can have shortcomings and biases which may impact on the accuracy. For researchers, it is crucial to evaluate carefully the measures they used and recognize any possible limitations or biases.
A number of assumptions are also related to the concepts or theories that underlie the research. Researchers might assume that certain theories are correct, or a concept can be applied universally. These assumptions can limit the scope or bias the interpretation of results.
Assumptions are those statements which are accepted as true, even though they are not tested. These assumptions can affect the way that researchers plan and interpret their research and impact on the generalizability and accuracy of the study results. To ensure that their research is valid and reliable, it’s important for researchers engage in critical reflection. They should also carefully assess their assumptions.