Advantages disadvantages excellent way of finalizing

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Advantages Disadvantages Excellent way of finalizing results and proving or disproving a hypothesis Difficult and expensive and require a lot of time to perform Standard in many scientific fields and disciplines Must be carefully planned to ensure that there is complete randomization and correct designation of control groups. The results can be legitimately discussed and published after a comprehensive answer is reached Requires extensive statistical analysis, which can be difficult, due to most scientists not being statisticians. Filter out external factors, if properly designed and so the results gained can be seen as real and unbiased The field of statistical study is a whole scientific discipline and can be difficult for non-mathematicians Useful for testing the results gained by a series of qualitative experiments leading to a final answer and a narrowing down of possible directions for follow up research to take The requirements for the successful statistical confirmation of results are very stringent, with very few experiments comprehensively proving a hypothesis; there is usually some ambiguity, which requires retesting and refinement to the design. Tends to generate only proved or unproven results, with there being very little room for grey areas and uncertainty
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Qualitative Research Design - Qualitative research design is a research method used extensively by scientists and researchers studying human behavior and habits. - It is also very useful for product designers who want to make a product that will sell.
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…continuation The design of qualitative research is probably the most flexible of the various experimental techniques, encompassing a variety of accepted methods and structures.
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Advantages Disadvantages Extremely useful when a subject is too complex be answered by a simple yes or no hypothesis Still require a lot of careful thought and planning, to ensure that the results obtained are as accurate as possible. Much easier to plan and carry out. Data cannot be mathematically analyzed in the same comprehensive way as quantitative results, so can only give a guide to general trends They are also useful when budgetary decisions have to be taken into account It is a lot more open to personal opinion and judgment, and so can only ever give observations rather than results. The broader scope covered by these designs ensures that some useful data is always generated, whereas an unproved hypothesis in a quantitative experiment can mean that a lot of time has been wasted Any qualitative research design is usually unique and cannot be exactly recreated, meaning that they do lack the ability to be replicated. Not as dependent upon sample sizes as quantitative methods; a case study, for example, can generate meaningful results with a small sample group.c
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