Data is play very vital role in all types of research either its qualitative, quantitative or mixed methods research without data our research is look like an easy or ordinary piece of writing data made our research more worthy and meaningful. This short article focus on the Research Data types and try to find the answer of following four questions.
Q 1 What is Data?
Q 2 What are the types of Data in Research analysis?
Q 3 What are Qualitative data types in research?
Q 4 What are Quantitative data in types in research?
Q 1 What is Data ?
Data is facts or information used usually to calculate, analyse, or plan something in statistical in numbers or values.
Q 2 Why are the types of data in Research?
There are two types of data in Research
1. Qualitative data 2. Quantitative data
1. Qualitative data
Qualitative data can’t be expressed as a number and can’t be measured. Qualitative data consist of words, pictures, and symbols. Qualitative data is also called categorical data because the information can be sorted by category, not by number.
Qualitative data Examples:
Colours
Gender
Weather
Ethnicity
2. Quantitative data
Quantitative data seems to be the easiest to explain. It answers key questions such as “how many, “how much” and “how often”. Quantitative data can be expressed as a number or can be quantified. Simply put, it can be measured by numerical variables.
Quantitative Data Examples:
Students Marks on Exams
Weight/Height of the student in any specific class
Age of the students
Q 3 What are Qualitative data research types?
Qualitative data has two types
a. Nominal Data
b. Ordinal Ordinal
a. Nominal Data
Nominal data is used just for labelling variables, without any type of quantitative value. The name ‘nominal’ comes from the Latin word “nomen” which means ‘name’.
The nominal data just name a thing without applying it to order. Actually, the nominal data could just be called “labels.”
Nominal Data Examples:
Colors like (Red, Blue, Green and etc.)
Gender (Women, Men)
Weather (Summer, Winter, Fall and Spring)
Ethnicity (Asian, American and African)
b. Ordinal Data
Ordinal data is data which is placed into some kind of order by their position on a scale. Ordinal data may indicate superiority. Ordinal data shows where a number is in order. This is the crucial difference from nominal types of data.
Ordinal Data Examples:
Economic status: low, medium and high.
Income of the People: High Income Middle Income and low Income or below average and etc.
Q 4 What is Quantitative data Research Types?
There are two types Quantitative data
a. Discrete Data
b. Continues Data
a. Discrete data
Discrete data is a count that involves only integers. The discrete values cannot be subdivided into parts. explanation, the number of students in a class is discrete data. You can divide students in whole number.
To put in other words, discrete data can take only certain values. The data variables cannot be divided into smaller parts or fraction.
Discrete Data Examples:
The number of students in a class.
The number of employees in a specific company.
The number of players take part in specific games
b. Continuous data
Continuous data is information that could be meaningfully divided into finer levels. It can be measured on a scale or continuum and can have almost any numeric value.
Research can record continuous data at so many different measurements Like width, temperature, time, and etc.
Continuous Data Examples:
Like the body temperature from 99.5 to 105.6 So there are plenty of numbers and each point has a significant value. So there are plenty of numbers and each point has a significant value.
Similarly the height of school students from 4 feet to 6 feet and every decimal point has value. And there are number of points exist in each decimal point
How Cite This Article
Ali MY, (20 Sep 2021). Research Data Types. https://profileusuf.wordpress.com/research-data/
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