What is data analysis methods in qualitative research

In statistics, nominal data (also known as nominal scale) is a classification of categorical variables, that do not provide any quantitative value. Qualitative Data can be divided into two types namely Nominal and Ordinal Data 1.

Physical attributes such as hair and eye color.

are however regarded as qualitative data because they are categorical and unique to one individual. Numbers like national identification number, phone number, etc. It is investigative and also often open-ended, allowing respondents to fully express themselves.ДЄlso known as categorical data, this data type isnвЂ™t necessarily measured using numbers but rather categorized based on properties, attributes, labels, and other identifiers.

Qualitative data is a type of data that describes a piece of information.

In statistics, there are two main types of data, namely quantitative data and qualitative data.ДЇor the sake of this article, we will be considering one of these two, which is the qualitative data. There are different methods of analysis that vary according to the type of data we are investigating. A respondent may not care about the classification of data he/she is inputting, but this information is important to the questionnaire as it helps to determine the method of analysis that will be used.

The qualitative data collection process may be assessed through two different points of view-that of the questionnaire and the respondents.

What is data analysis methods in qualitative research