
Qualitative data is information that describes phenomena. Project managers use qualitative research methods to collect data. It is subjective, can’t be measured, and is described with words and phrases.
Researchers gather qualitative approaches using semi-structured or unstructured interviews. We can call qualitative data “the language of the participants.” Qualitative data provides evidence to understand social phenomena.
Qualitative data is often more important to a project than quantitative data. It can give a deeper understanding of how the project works and how it affects people. In addition, qualitative data can assist in determining where project activities occur and how project beneficiaries feel about them.
There are many different approaches to qualitative data collection. This section will briefly describe some qualitative approaches to data collection methods.
A focus group is a small group of people who have been carefully chosen to take part in open discussions for research. The people who participate in the study are chosen to represent the larger group they are trying to reach.
One of the most common qualitative research methodologies is one-on-one interviews. One of the benefits of this method is that it allows for the collection of exact data about what people think and their motivations. Research analysts conduct interviews with individuals, focus groups, or telephone surveys. Interviews can take many different forms, i.e., structured or unstructured.
A survey is a widespread way for a group of respondents to give qualitative information. In the past, surveys were printed on paper and distributed to respondents for completion and return.
Surveys can now be created online and sent to respondents for them to complete. Data collection and preparation are both automated, making this a superior method to the old one.
Surveys can be quantitative or qualitative. For example, a survey asking “how do you feel about this program?” would be a qualitative survey.
In monitoring and evaluation projects, observation can be used to get a “feel” for the context in which a project operates. For example, this can be used to understand how people use services, the types of things people are talking about, or get a general feel for the area.
Document analysis involves a collection of data from different sources. It is an in-depth analysis of events, past papers, policy documents, diaries, case studies, and photos relevant to your project.