- What are 2 examples of quantitative data?
- What are the 7 characteristics of quantitative research?
- What is quantitative type of research?
- What are the 4 types of qualitative research?
- What are the types of quantitative data?
- What is quantitative research and examples?
- What is a basic qualitative study?
- What is a quantitative example?
- Which is easier quantitative or qualitative research?
- What is the ideal sample size for qualitative research?
- What are quantitative methods?

## What are 2 examples of quantitative data?

There are two general types of data.

Quantitative data is information about quantities; that is, information that can be measured and written down with numbers.

Some examples of quantitative data are your height, your shoe size, and the length of your fingernails.

Speaking of which, it might be time to call Guinness..

## What are the 7 characteristics of quantitative research?

What are the Characteristics of Quantitative Research?Characteristics of Quantitative Research.Large Sample Size.Structured Research Methods.Highly Reliable Outcome.Reusable Outcome.Close-ended questions.Numerical Outcome.Generalization of Outcome.More items…•

## What is quantitative type of research?

Quantitative research- concerned with precise measurement, replicable, controlled and used to predict events. It is a formal, objective, systematic process. Numerical data are used to obtain information about the subject under study. -uses data that are numeric. -primarily intended to test theories.

## What are the 4 types of qualitative research?

Four major types of qualitative research design are the most commonly used. They are: 1) phenomenology 2) ethnography 3) grounded theory 4) case study Firstly, I will review the four qualitative research designs the phenomenological, ethnographic, grounded theory and case study perspectives.

## What are the types of quantitative data?

Quantitative Flavors: Continuous Data and Discrete Data There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous.

## What is quantitative research and examples?

Quantitative research collects information from existing and potential customers using sampling methods and sending out online surveys, online polls, questionnaires, etc., the results of which can be depicted in the form of numerical.

## What is a basic qualitative study?

Merriam (2009) describes a basic qualitative research study as having been derived philosophically from constructionism, phenomenology, and symbolic interaction and as being used by researchers who are interested in “(1) how people interpret their experiences, (2) how they construct their worlds, and (3) what meaning …

## What is a quantitative example?

Quantitative is an adjective that simply means something that can be measured. For example, we can count the number of sheep on a farm or measure the gallons of milk produced by a cow. In a world of abstract findings that can’t be quantified, such as anger or memories, it’s important to be able to measure what we can.

## Which is easier quantitative or qualitative research?

The hard facts obtained will enable you to make decisions based on objective observations. Finding general answers: Quantitative research usually has more respondents than qualitative research because it is easier to conduct a multiple-choice survey than a series of interviews or focus groups.

## What is the ideal sample size for qualitative research?

20-30Our general recommendation for in-depth interviews is to have a sample size of 20-30, if we’re building similar segments within the population. In some cases, a minimum of 10 is acceptable – assuming the population integrity in recruiting.

## What are quantitative methods?

Definition. 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.