My Thesis without Quantitative Analysis – Pros and Cons

You may be interested in doing an analysis where you want to introduce a “human touch” by conducting one or several interviews asking how things mean to people or how a particular individual experience your topic. Though at times it is more substantial to include a statistical inference of a sample taken from a bigger population, qualitative data offers you a more credible argument to help you understand the patterns than in the quantitative analysis. If you find your arguments are properly backed up using the Qualitative Analysis, then you can write my thesis without Quantitative Analysis.

Quantitative Analysis in My thesis

Quantitative analysis’ main contribution in thesis writing is its ability to display the fact of an argument as a result of making a statistical inference about a particular sample of data drawn from a population. In other words, this is the factual result of test done through selected respondents from a whole population which is always if not most of the times considered unbiased, efficient, consistent and sufficient. However, thesis writing without Quantitative Analysis does not make the argument of the topic less credible.

My Thesis without Quantitative Analysis

  • It prevents errors that are widely committed when using Quantitative Analysis. Usually referred to as Error 1 and Error 2, these errors consist mostly of the researcher’s chance in either rejecting a good sample and/or accepting a false sample during the analysis.
  • Even though the data from these samples are efficient, consistent, and sufficient; the researcher’s personal judgments towards or against the sample still exist which is posing an extreme danger especially in the field of medicine and nursing.
  • It omits the great value of drawing meaningful results from a large body of qualitative data.  The main benefit supposed to be of a quantitative analysis is providing the means to separate out the large number of confounding factors that often makes the qualitative findings obscure and ambiguous.
  • It skips the chance of the researchers to show his evidence to the readers in the form a report or a summary result in numerical terms which gives the thesis a specified degree of confidence.

When do I Need to Have Quantitative Analysis in My Thesis

  • Approach preference. If you think the approach will draw the best in you and your thesis then go for it. Consider your skills and abilities with methods of data collection (if needed) and analysis.
  • The topic or issue you are interested in. Ask. “Will my thesis really require quantitative Analysis?, Or the strength of the qualitative analysis and other approach will suffice it?”