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We can help you with your projects involving Qualitative Analysis.

Qualitative Analysis is a discipline that departs from the classical inferential statistics analysis. Conducting the habitual statistical tests requires the fulfillment of certain assumptions about the level of measurement of the data and about the proper operationalization of those variables.

Qualitative Analysis does not necessarily deal with quantitative, properly operationalized data. Instead, it looks for associative patterns that can help to attach meaningful insights to the data being analyzed. One of the most commonly used tools for this type of analysis is NVIVO.

Conducting a proper Qualitative Analysis requires good amount of expertise, as there is not one specific way to go about to conduct the analysis, and the success of the process largely depends on the experience of the person who conduct the analysis and the use of proper tools.

How does qualitative analysis help?

It is not uncommon to have to deal with qualitative data either in business or academic data. Qualitative data, unlike quantitative, has a more open-ended nature, which requires a different approach than simply crunching numbers.

Qualitative analysis uses its own approaches, including methodologies such as ethnography, narrative research and grounded theory, just to mention a few.

Also, specific software packages are used for the purpose of aiding a researcher in the application of these methodologies, most notoriously NVivo and R, as well as many open source packages in the Python programming language.

How to do a good qualitative analysis?

Unveiling useful patterns in unstructured data can be challenging, but qualitative data analysis provides you with some defined paths of action.

Depending on the context of the data to be analyzed, you may want to conduct some qualitative content analysis, coding and development of themes, which are among the most important tools in data analysis in quantitative research.

But all qualitative analysis frameworks are poised with subtleties that require expertise, for which the help of an expert statistics consultant can come in handy .

What is the main advantage of qualitative data?

One of the main advantages of conducting qualitative analysis from qualitative data is the possible of uncovering useful themes and patterns that are not easily detected in the context of unstructured data.

At SEMPAX Consulting we have helped hundreds of customers handle their qualitative data, and make meaningful connections for their business.

We help you with qualitative research best practices and aim at reaching strong levels of representativeness, reactivity, replicability and reliability.

Advantages of Using Professional Qualitative Analysis Help

Professional qualitative analysis assistance can provide you with the required expertise, it enhances the validity of your analysis, it provides you with insights and leverages the unique benefits of qualitative techniques for your business strategy and decision making.

• Expertise - Guidance from an experienced specialist in qualitative research methods like interviews, focus groups, observations, content analysis etc.
• Rigor - Experts ensure qualitative data collection and analysis follows systematic protocols to yield valid, credible insights.
• Efficiency - Save time trying to independently codify, interpret and make sense of non-numerical, unstructured qualitative data.
• Unbiased Lens - Qualitative specialists provide an objective third-party perspective when analyzing subjective qualitative data. Avoids personal biases.