Qualitive Data- Qualitative methods are ways of collecting data which are concerned with describing meaning, rather than with drawing statistical inferences. What qualitative methods (e.g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description.
Quantative Data- Quantitative methods are those which focus on numbers and frequencies rather than on meaning and experience. Quantitative methods (e.g. experiments, questionnaires and psychometric tests) provide information which is easy to analyse statistically and fairly reliable. Quantitative methods are associated with the scientific and experimental approach and are criticised for not providing an in depth description.
Demographic Data- are current statistical characteristics of a population. These types of data are used widely in sociology (and especially in the subfield of demography), public policy, and marketing. Commonly examined demographics include gender, race, age, disabilities, mobility, home ownership, employment status, and even location. Demographic trends describe the historical changes in demographics in a population over time (for example, the average age of a population may increase or decrease over time). Both distributions and trends of values within a demographic variable are of interest. Demographics are about the population of a region and the culture of the people there.
Psychographic Data- Psychographic information, as opposed to demographic information, isn't quantifiable with numbers. Psychographics define how the target market feels, what they want, how they go about their day to day lives, what is important to them and how they make purchasing decisions. Psychographic information derives from demographics, and can only be created after a demographic profile has been created.
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