Question

write 200 words on your thoughts

Quantitative analysis is described as a scientific or operations research approach in the decision making process where both quantitative and qualitative aspects must be measured (Render et al., 2015). Furthermore, quantitative analysis turns raw data into a more meaningful form of information that can be used to benefit people who are in charge of making decisions. The attributes of a good quantitative analysis model include being able to solve the question given or develop a solution to the problem.

The approach used in quantitative analysis starts with first defining a problem. As stated in the text, defining the problem is the most important step in quantitative analysis (Render et al., 2015). Next, one should develop a model that will best suit solving the problem at hand and then acquire input data. After that, developing and testing a possible solution occurs. Lastly, the results are analyzed and then implemented. Each step can be adapted and revisited numerous times throughout the process before a final implementation is set in place. Additionally, there may be times when the solution is tested and then reveals that the model is incorrect and the steps must be revised.

After reading the assigned text and researching quantitative analysis models, I do not believe that the best quantitative analysis models are the ones that are the most elaborate and complex mathematically speaking. The best quantitative analysis model is really dependent upon the field in which one is working, the problem being addressed, and the input data (Quantitative Analysis, 2015). For example, the way that the military uses quantitative analysis will differ from the way a major corporation uses it. Just because a model is elaborate or complex does not mean that it is the best choice or even the correct choice. Due to technology, complex mathematical formulas and equations can be solved much easier than before. For example, technology has helped to make great strides in quantitative analysis; the role of computers and spreadsheets help to quickly develop and test a solution when using mathematical models (Render et al., 2015).

Answer 1

Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques. Quantitative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon.qualitative research addresses questions that are NOT quantifiable (if they were, they would be addressed using quantitative methods), not because they are "immature," but because the individual experience needs to be examined in itself, not as a reflection of a larger truth.  

We need to quantify the qualitative data into (statistical or mathematical models) to understand them, so as to draw conclusions, fit models generalize the results, etc.

Besides, qualitative researches are not mature as quantity researches are, and therefore, not reliable by some of the decision makers,

For example if someone said that "product A is good", we cant draw a significant conclusion that product A is good. However, if we counted the positive words mentioned by all the interviewees against the negative words about the same product we might be able to draw a significant conclusion.

In computer science we call this natural language processing (NLP), a large number of qualitative software packages depends mainly on NLP, the understanding part of NLP is not mature yet. However the future is promising.