Data analysis methods in quantitative research

data collated by another source previously) can also be used for statistical analyses, and removes the process of sampling (though this should still be considered) and collection of data itself. However, the data can be difficult to interpret without context and may be lacking the depth of the other methods. Is the more common of the techniques, as this can allow immediately objectifiable data, capable of statistical analysis. However, results can be subjective and unclear, and are often difficult to then analyse in a quantitative manner.ДЇixed sets of questions allow more ease with regards to this however, There are a number of different ways by which one can go about gathering information, though these generally fall under two broad categories:ДЄre utilised to collate data from individuals regarding opinions, experience, and knowledge. Use this, and existing literature, to draw a conclusion. This may include sample size, sampling method, the target of the study, data collection methods, data analysis. Prepare an exact plan to answer your research questions. Check for duplication - if someone has already answered this question (particularly in scientific research), then you do not have to go ahead with your plan. An example: How many sales have we made in each country this year?

These needВ to be specific and will obtain the exact answers needed to find an answer to the research problem. An example: how much success is our recent project having? Here is a basic framework to designing quantitative research: Unlike qualitative research, which is often used in the early stages of a project to examine the aspects such as the scope of a problem and potential solutions, quantitative research is used to develop concrete answers to well-defined questions.

Quantitative research is generally the chosen method within the 'hard sciences', but can be utilised across any field when appropriate, and is used to develop conclusive and objective answers.ДЇor organisations, quantitative methods can be used in order to perform market research, monitor KPIs, manage sales figures and evaluate the potential success or likelihood of success for a project. The aim of quantitative research is to gather numerical data from people, objects or phenomena, then apply those results to decision-making or to a wider group in order to draw accurate conclusions and design appropriate actions.

Data analysis methods in quantitative research