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Inductive Data Analysis in Qualitative Research

There is always a reason behind data analysis. It is never some mathematical puzzle or game, but means which are used, to uncover important information. Analysis can either forward the knowledge base and research or be immediately applicable, such as in business analysis for example comparative data analysis. The process can also take a look at data extracted from evaluations. This is something that inductive data analysis can do.

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Inductive Data Analysis Definition

Saying about inductive data analysis definition, critics may question the ability of it for model development, noting that it is weaker than some other analytical techniques. The inductive approach does offer a straightforward approach for uncovering information. Inductive data analysis will condense data into a summary format, create transparent connections between evaluation objectives, and organize whatever has been discovered from the data. It then looks at the patterns that have emerged from the data.

The Inductive Approach to Data Analysis

The beauty of inductive approach to data analysis is in the simplicity. It is nowhere near as complicated as other means of qualitative data analysis, and does produce highly reliable findings. Researchers will collect information germane to the hypothesis or subject of interest. Once sufficient data is collected, the researcher will review the statistics and then search for any patterns that the numbers may suggest. The sequence is to move from observations to propositions in a data to development of theory process.

Offshoots of Inductive Data Analysis

Inductive data analysis is qualitative in its orientation, and the researcher has to be clear of any mental bias towards data collected. An approach that is used which is similar to inductive data analysis is grounded theory. This is a means of interpreting data that does require a lack of preconceived notions regarding the information. After data is collected, the researcher has to develop a theory based on what has been discovered, and then try position this notion in relation to current theories. It does require continual examination of the statistics, and grounded theory does help in research where what is being investigated has not been explored in the past.

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Uses of Inductive Data Analysis

This type of data analysis explores. It can go beyond set boundaries and explore phenomena that is not been carefully studied before. Inductive data analysis is used in a variety of areas including marketing, social sciences, and health-related fields. It can reduce data to key themes that can be important for both investigation and education. One problem with inductive data analysis is time. Reviewing and then looking once again at the information is going to consume numerous hours. Nothing comes automatically but through the process of constant review.

There is a benefit for the researcher with this form of analysis. The discipline that requires constant review and analysis means that researcher can become expert in the particular area of study. The positioning of a new theory with those already in existence only increases the depth of knowledge derived. They can have some possible career advantages for a researcher. Having worked on one or more of such projects could turn a person into a subject authority.

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