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Research design refers to the overall strategy utilized to answer research questions. A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1]
In scientific writing, IMRAD or IMRaD (/ ˈ ɪ m r æ d /) (Introduction, Methods, Results, and Discussion) [1] is a common organizational structure for the format of a document. IMRaD is the most prominent norm for the structure of a scientific journal article of the original research type.
The major results/findings of the research; and The main conclusions and recommendations (i.e., how the work answers the proposed research problem). It may also contain brief references, [ 20 ] although some publications' standard style omits references from the abstract, reserving them for the article body (which, by definition, treats the ...
A formal data collection process is necessary, as it ensures that the data gathered are both defined and accurate. This way, subsequent decisions based on arguments embodied in the findings are made using valid data. [4] The process provides both a baseline from which to measure and in certain cases an indication of what to improve.
For the variables under examination, analysts typically obtain descriptive statistics for them, such as the mean (average), median, and standard deviation. [61] They may also analyze the distribution of the key variables to see how the individual values cluster around the mean. [62] An illustration of the MECE principle used for data analysis.
The actual results of the experiment are then compared to the expected results based on one's hypothesis. The findings may then be interpreted and published, either as a confirmation or disconfirmation of the initial hypothesis. [60] [8] [61] Two central aspects of the scientific method are observation and experimentation. [8]
If not, the null hypothesis is supported (or, more accurately, not rejected), meaning no effect of the independent variable(s) was observed on the dependent variable(s). The result of empirical research using statistical hypothesis testing is never proof. It can only support a hypothesis, reject it, or do neither. These methods yield only ...
Researchers focusing solely on whether their results are statistically significant might report findings that are not substantive [46] and not replicable. [47] [48] There is also a difference between statistical significance and practical significance. A study that is found to be statistically significant may not necessarily be practically ...