# Quantitative research method in thesis

Qualitative and quan… Lesson 1: Qualitative and quantitative methods Research methods are generalised and established ways of approaching research questions. Research methods are divided into qualitative and quantitative approaches and involve the specific study activities of collecting and analyzing research data in order to answer the particular research question. It is important to note that not all methods can be applied to all research objectives, so it is important to ensure that the method you choose matches the intention of your thesis work.

However, this ebook will answer that question in a more complicated way. I am interested in how mathematics "works" -- in some sense I am interested in how Mathematics is implemented as a language, whereas most just "use" it and are not interested on examining it in detail or systematically.

On the other hand, I am very well aware of the many efforts within and outside of mathematics looking at notions of complexity or theoretical characterizations of logic that Quantitative research method in thesis been applied to mathematics and logic before.

For example, Kolmogorov and Chaitin complexity or Topos theorymodel theorydomain theoryand paraconsistent logic are interesting and useful knowledge domains that can contribute to an examination of mathematics.

## Qualitative vs Quantitative Data Analysis

However, what is the point of mathematics? Mathematics is a language. This issue will become more important as time goes on. The crisis in Physics, with string theory having no experimental basis other than what has been discovered before e.

Mathematicians would say string theory is not mathematics rather it's physics, but where's their proof? All they can do is throw words at the problem -- those fuzzy meaning things -- those slippery things -- in the form of natural language, no different than lawyers and politicians or similar criminals.

Of course, they can ignore or be oblivious to the problem, like politicians. Albert Einstein I quickly came to recognize that my instincts had been correct; that the mathematical universe had much of value to offer me, which could not be acquired in any other way.

I saw that mathematical thought, though nominally garbed in syllogistic dress, was really about patterns; you had to learn to see the patterns through the garb. I learned that it was from such patterns that the insights and theorems really sprang, and I learned to focus on the former rather than the latter.

Richard Feynman In theory, there is no difference between theory and practice. In practice there is. Yogi Berra Much of mathematics was developed by "non" mathematicians -- Archimedes, Newton, and Gauss are considered the giants of mathematics, significantly used the natural world to create their ideas in mathematics.

It has been primarily "physics" and "engineering" that propelled mathematics in the last three centuries, but the methods that worked in the past usually don't work as effectively for harder and new problems of the future, such as -- what is the future "evolution" of humankind and the Web?

The problem of addressing "function" as opposed to structure has not been done well in mathematics.

The field of economics has tried to use conventional mathematics, and has generated many baroque "theories" of little use except creating academic empires or meteoretic financial groups e.

Biology and evolution involve more dynamic and functional questions, and mathematics will need to go beyond structural ideas to progress significantly.

## 3 Relational Complexity and Comparative Science

No doubt the vast majority of mathematicians will not be interested, hence it might be better to not characterize the development as mathematics or metamathematics.

Maybe a neo-logism is more appropriate: There are many measures and characterizations of complexity and power of expressiveness that have been applied to both to computation, logic, and mathematics, but most of the time those characterizations or measures have concentrated on the thing that mathematics and logic tries to represent, rather than trying to look very closely at the thing mathematics and logic that it can represent -- the thing -- reality.

In other words, I am more interested in Mathematics Itself, not its canonical forms or its various instances of representations, whether that be Number theoryTopos theory in the form of Closed cartesian categoriesLie AlgebrasIntuitionist's logicTuring MachinesModel TheoryInconsistent Mathematics or Domain Theory.

I will address these various incarnations as to their role, later. In fact, one could argue that mathematics is a poor man's version of information science a more proper name for computer sciencefor it is missing a good sense of "process.

It should be noted that the more complex the numbers, as in quaternions or octonions, the more information that is embedded implicitly.

However, how much of that information is random information? And what does one MEAN by "random" -- again "random" is a "word. As a start, there seems a balance of information between order and disorder when generating mathematical ideas and looking at their consequences. Gregory Chaitin has shown that within number theory some facts or "theorems" are essentially "random.

Abandon the Shannon I am interested mathematics from a global informational and semantic point of view. Of course, some would immediately ask what about Chaitin complexity, or Crutchfield's approachor even Shannon information.

All of these approaches are important and I will eventually put them in context. One may think this is a bad rap, a glib strawman characterization on my part, but for now I ask you to suspend your suspicions, in this regard, for a while.

I will explore the notions of material complexityfunctional complexity and lastly comparative complexity. To explain what I mean by that last relatively obscure sentence, I need to delve into mathematics, physics, biology, computer science, and their history.Research Methodology and Design.

Data Analysis. Research Findings ABSTRACT Research is an exciting adventure which if properly carried out adds richly to the student’s experience, problem?

WRITING A QUANTITATIVE RESEARCH THESIS. Chapter 3 of your Thesis is given different titles such as 'Research Design', 'Research Methods' and so forth. Here, the title 'Research Methodology' is used in which you describe in detail how you collected the data to answer your research questions stipulated in Chapter 1 - Introduction.

this specific research is evident in the current limitation of quantitative data regarding the PLC model that is being increasingly advocated for at the government, state, and district level. The Delphi method (/ ˈ d ɛ l f aɪ / DEL-fy) is a structured communication technique or method, originally developed as a systematic, interactive forecasting method which relies on a panel of experts.

The experts answer questionnaires in two or more rounds. After each round, a facilitator or change agent provides an anonymised summary of the experts' forecasts from the previous round as well.

## Delphi method - Wikipedia

Format for a quantitative research article. In November I posted a format that I developed for a quantitative research proposal on my website.

I'm interupting our usual programming to share with you some research in progress, because I am really interested in hearing what you think of it.

Next week I'll be at the Quality in Post graduate Research conference (or QPR) the key gathering for research educators in Australia. I'm planning on presenting an analysis of the.

Limitations and weakness of quantitative research methods | Knowledge Tank