What is a qualitative performance?
Qualitative performance is an open end method. It is a compilation of answers that are used to assess success, provide information and invent ways to improve the subject. This technique is often used next to its opposite - quantitative performance, which is measured with the final statistics on the subject. Qualitative performance is usually designed to provide details and diversity that cannot be found with uniform groups of facts. Gives meaning to statistical information. Looking at the performance of a qualitative perspective can often explain the reasons for statistics better than just an overview of data. The results of a qualitative performance review are also usually more complex and complex. This is mainly because there are fewer restrictions with this type of approach.
The use of a qualitative method can help reveal Subject characteristics that are not clear to people who are regularly involved. Depending on the number of participants in the review can provide a comprehensive view of the subject orSimply provide some new knowledge. Without strict questions, it is more likely that fresh discoveries will be in the results. On the other hand, the results of quantitative performance can only reveal new knowledge with patterns of statistics.
One of the most common ways to start quality control is the collection of information through surveys, interviews and other methods of direct response. Data can be collected on one occasion or compiled over time. For example, employees can maintain magazines or other records of their progress with the intention of later to share them for analytical purposes. The open quality format can bring useful revelations, but it is also useful to have some respondents' instructions. This can also alleviate the process of categorization and analysis of results.
The next step of qualitative performance analysis is an overview of the information collected. PIt is typical to create categories. The researcher could go to the project with regard to categories. It is often more useful for allowing the nature of data to dictate at least some - not all - all categories.
After organizing information in categories, a comprehensive review of the results can be performed. This may include analysis of detail and overall image. It reveals patterns and the first often explains what these patterns mean.