# Quick Answer: How Do You Explain Qualitative Data?

## 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..

## What are 3 examples of qualitative data?

Examples of qualitative data include sex (male or female), name, state of origin, citizenship, etc. A more practical example is a case whereby a teacher gives the whole class an essay that was assessed by giving comments on spelling, grammar, and punctuation rather than score.

## What are the three main qualitative data collection methods?

The main methods for collecting qualitative data are:Individual interviews.Focus groups.Observations.Action Research.

## Which of the following is an example of quantitative data?

1.2 Data: Quantitative Data & Qualitative DataQuantitative DataData that you will seeQuantitative data are always numbers.ExamplesAmount of money you have Height Weight Number of people living in your town Number of students who take statistics1 more row

## How do you explain quantitative data?

Quantitative data is data expressing a certain quantity, amount or range. Usually, there are measurement units associated with the data, e.g. metres, in the case of the height of a person. It makes sense to set boundary limits to such data, and it is also meaningful to apply arithmetic operations to the data.

## What are the 4 types of qualitative research?

Grounded theory, ethnographic, narrative research, historical, case studies, and phenomenology are several types of qualitative research designs.

## What is difference between qualitative and quantitative data?

There exists a fundamental distinction between two types of data: Quantitative data is information about quantities, and therefore numbers, and qualitative data is descriptive, and regards phenomenon which can be observed but not measured, such as language.

## What is the difference between qualitative and quantitative approach?

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Quantitative methods allow you to test a hypothesis by systematically collecting and analyzing data, while qualitative methods allow you to explore ideas and experiences in depth.

## What are examples of qualitative data?

The hair colors of players on a football team, the color of cars in a parking lot, the letter grades of students in a classroom, the types of coins in a jar, and the shape of candies in a variety pack are all examples of qualitative data so long as a particular number is not assigned to any of these descriptions.

## Which one is the best example of qualitative data?

An example of qualitative data is a drug abuser telling you how many pills they consume per week. 5. An example of qualitative data is a drug abuser telling you how they feel about abusing drugs.

## What is the definition of qualitative?

: of, relating to, or involving quality or kind.

## What are the qualitative data collection methods?

There are a variety of methods of data collection in qualitative research, including observations, textual or visual analysis (eg from books or videos) and interviews (individual or group). However, the most common methods used, particularly in healthcare research, are interviews and focus groups.

## What are examples of qualitative data in education?

In a school setting, qualitative data may include:Notes from classroom observations.A student’s work sample with comments from their teacher.Feedback from a teacher about a student’s progress.A transcript from a focus group with parents.Audio/visual recordings of a class.A transcript from a staff meeting.

## What can qualitative data be used for?

Qualitative research is a form of inquiry that analyzes information conveyed through language and behavior in natural settings. It is used to capture expressive information not conveyed in quantitative data about beliefs, values, feelings, and motivations that underlie behaviors.