Quotes About Quantitative

Statistics are the triumph of the quantitative method, and the quantitative method is the victory of sterility and death.

All of the studies we do in my group are quantified.

When I was in school, I liked math because all the problems had answers. Everything else seemed very subjective.

Math is one of my favorite subjects.

If a picture is worth a thousand words, in business, so is a number.

First-rate engineers, for instance, tend to take pride in not knowing anything about people. Human beings, they believe, are much too disorderly for the good engineering mind. Human resources professionals, by contrast, often pride themselves on their ignorance of elementary accounting or of quantitative methods altogether. But taking pride in such ignorance is self-defeating. Go to work on acquiring the skills and knowledge you need to fully realize your strengths.

Cultural traits, however, are a more general category than memes, because they also include quantitative (smoothly-varying) characteristics that cannot be easily represented as discrete alternatives: for example, the inclination to trust strangers. (More on that below.)

it is one thing to have a qualitative impression of something, and a very different thing to have a quantitative estimate of the same thing, based on cold, hard numbers. Science thrives on numbers.

Statistics are the triumph of the quantitative method, and the quantitative method is the victory of sterility and death.

The computer, being a mechanical moron, can handle only quantifiable data.

If you want to inspire confidence, give plenty of statistics. It does not matter that they should be accurate, or even intelligible, as long as there is enough of them.

Four point two

synthesizing the quantitative rigor of scientific discoveries with the subtlety of our subjective lives. When

Forget quantitative easing - I've always thought the idea of injecting virtual money into the system is an accident waiting to happen.

Value manifests itself as exchange value, as a quantitatively determined relationship, in virtue of the fact that one commodity can be exchanged for another.

It should not be understood in a quantitative, but in a qualitative sense; it qualifies all the communicable attributes of God.

The first is that I firmly believe that much of the quality we call intelligence is quantitative: he who finds the correct solution to a problem has simply tried out more things that he who does not.

There may certainly be thinking beings besides men on the other planets of our solar system. But by the suppositions of such beings we do not change our standing point – we extend our conception quantitively not qualitatively.

The definition of a thing includes its efficient cause; and since God is the Primal Cause, He cannot be defined, or described by a partial definition. A quality, whether psychical, physical, emotional, or quantitative, is always regarded as something distinct from its substratum;

This turns on the lived experiences of individuals and how they have both subjective experiences of the phenomenon and objective experiences of something in common with other people. Thus, there is a refusal of the subjective–objective perspective, and for these reasons, phenomenology lies somewhere on a continuum between qualitative and quantitative research.

you will see this framework at work when ethnographers employ both quantitative (e.g., surveys) and qualitative data collection (LeCompte & Schensul, 1999) and when case study researchers use both quantitative and qualitative data (Luck, Jackson, & Usher, 2006; Yin, 2009).

One type of nonexperimental quantitative research is causal-comparative research in which the investigator compares two or more groups in terms of a cause (or independent variable) that has already happened.

Define excellence vividly, quantitatively. Paint a picture for your most talented employees of what excellence looks like. Keep everyone pushing and pushing toward the right-hand edge of the bell curve.

the best data scientists tend to be "hard scientists," particularly physicists, rather than computer science majors.