Quantitative data are used when a researcher is trying to quantify a problem, or address the “what” or “how many” aspects of a research question. It is data that can either be counted or compared on a numeric scale.
What is meant by 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 is quantitative data and examples?
Quantitative data is data that can be counted or measured in numerical values. The two main types of quantitative data are discrete data and continuous data. Height in feet, age in years, and weight in pounds are examples of quantitative data. Qualitative data is descriptive data that is not expressed numerically.
What is qualitative data?
Qualitative data is data that is not easily reduced to numbers. Qualitative data tends to answer questions about the ‘what’, ‘how’ and ‘why’ of a phenomenon, rather than questions of ‘how many’ or ‘how much’.
What are 5 examples of quantitative data?
Some examples of quantitative data include:
- Revenue in dollars.
- Weight in kilograms.
- Age in months or years.
- Length in centimeters.
- Distance in kilometers.
- Height in feet or inches.
- Number of weeks in a year.
What is qualitative data example?
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.
What is the difference between quantitative and qualitative data?
Quantitative data is numbers-based, countable, or measurable. Qualitative data is interpretation-based, descriptive, and relating to language. Quantitative data tells us how many, how much, or how often in calculations. Qualitative data can help us to understand why, how, or what happened behind certain behaviors.
How do you find quantitative data?
There are several methods by which you can collect quantitative data, which include:
- Experiments.
- Controlled observations.
- Surveys: paper, kiosk, mobile, questionnaires.
- Longitudinal studies.
- Polls.
- Telephone interviews.
- Face-to-face interviews.
What are 5 examples of qualitative research?
5 Types of Qualitative Research Methods
- Ethnography. Ethnography, one of the most popular methods of qualitative research, involves the researcher embedding himself or herself into the daily life and routine of the subject or subjects.
- Narrative.
- Phenomenology.
- Grounded Theory.
- Case study.
What is nominal data example?
Nominal data are used to label variables without any quantitative value. Common examples include male/female (albeit somewhat outdated), hair color, nationalities, names of people, and so on. In plain English: basically, they’re labels (and nominal comes from “name” to help you remember).
What are examples of qualitative and quantitative data?
Start with yourself as an example. To acquire qualitative data, consider identifiers like the color of your clothes, type of hair, and nose shape. For quantitative data, consider measurable values like your height, weight, age, and shoe size.
What are the 3 qualitative analysis?
There are three major approaches to qualitative research: ethnography (drawn from anthropology); phenomenology (drawn from philosophy) and grounded theory (drawn from sociology).
What type of data is quantitative?
Quantitative data are measures of values or counts and are expressed as numbers. Quantitative data are data about numeric variables (e.g. how many; how much; or how often).
What are the 2 types of quantitative data?
There are three types of quantitative data, and each carries valuable information: discrete, continuous, and interval (as compared to ratio) data.
What are the 4 types of quantitative research?
There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.
How do you identify qualitative research?
Identifying Qualitative Research – Example
This abstract has several indications that this is a qualitative study: the goal of the study was to explore the subjects’ experiences. the researchers conducted open-ended interviews. the researchers used thematic analysis when reviewing the interviews.
What are some examples of quantitative research?
Quantitative data collection methods include various forms of surveys – online surveys, paper surveys, mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations.
What are 10 examples of qualitative data?
Here are ten examples of qualitative data:
- Observation Notes. Observation is an important method of qualitative data collection.
- Semi-structured interviews.
- Open-ended survey.
- Participant diaries or journals.
- Portfolios of evidence.
- Concept Maps.
- Case Studies.
- Focus Groups.
What are the 7 types of qualitative research?
Let’s dive into the 7 qualitative research techniques.
- Individual Interviews. An individual interview can be conducted over the phone, Skype, or in person.
- Focus Groups.
- Observations or “Shop-Alongs”
- In-Home Videos.
- Lifestyle Immersion and Real World Dialogue.
- Journal or Diary.
- Online Focus Groups.
What are the 6 types of qualitative research?
Six common types of qualitative research are phenomenological, ethnographic, grounded theory, historical, case study, and action research. Phenomenological studies examine human experiences through the descrip- tions that are provided by the people involved.
What is a discrete data?
Discrete data is information that can only take certain values. These values don’t have to be whole numbers (a child might have a shoe size of 3.5 or a company may make a profit of £3456.25 for example) but they are fixed values – a child cannot have a shoe size of 3.72!
