Quantitative research
In the Social Sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques. The objective of quantitative research is to develop and employ mathematical models, theories and/or hypotheses pertaining to phenomena.
Qualitative research
Qualitative research is a method of inquiry employed in many different academic disciplines, traditionally in the social sciences, but also in market research and further contexts. Qualitative researchers aim to gather an in-depth understanding of human behavior and the reasons that govern such behavior. The qualitative method investigates the why and how of decision making
quantitative refers to "quantity" and can be quantified or measured. while qualitative referes to "quality" and cannot be quanitifed. When u say X product "passes" a test that is qualitative data, while when u say the amount of X present is "10mg/ml" that is quantitative data.
There are two basic types of observation, quantitative and qualitative. Quantitative defines while qualitative data describes. Observations such as smell, taste, and appearance are all qualitative. As opposed to quantitive which is any observation (such as size, or weight) where a definitive value can be assigned.
Qualitative data, is information which focuses on the descriptions of quality or of degrees of opinion regarding events or items. From these descriptions will come patterns of data mainly of opinions or feelings about the subject. Quantitative data, is simply data represented by numbers, e.g. percentages, figures, fractions. Qualitative data, is information which focuses on the descriptions of quality or of degrees of opinion regarding events or items. From these descriptions will come patterns of data mainly of opinions or feelings about the subject. Quantitative data, is simply data represented by numbers, e.g. percentages, figures, fractions.
Social Security numbers are quantitative and not qualitative. This is due to the fact that they are numerical in nature.
Quantitative: Numeric data, like "X% of households buy product Y at least once a week" or "product Y sold Z units last year".Qualitative: Descriptive data, like interviews with selected households to find what influences the purchase of product Y.
qualitative
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
don't you mean quantitative data and qualitative data?
There are several different types of data. Some include qualitative and quantitative. Qualitative is data that is not numeric and quantitative data is numerical.
Numerical data is quantitative research
They are methods for analysing statistics in which that data are, respectively, qualitative and quantitative.
Qualitative and quantitative data are both 2 important types of data. Qualitative data is data based on observation and description. An easy way to remember this, Qualitative ---> QUALity. Examples of qualitative data are when you record colors, smells, textures, etc... Quantitative data is based on numerical values. An easy way to remember this, Quantitative ---> QUANTity. An example of quantitative data are any type of numerical values.
The length of a movie is quantitative data.
qualitative
The fact that the data is qualitative or quantitative does not in and of itself have anything to do with its reliability.
quantitative = numbers qualitative = not numbers (e.g. gender, state, ...)