What is explanatory research?
What is explanatory research? (definition)
Explanatory research is an attempt to connect different ideas and to understand the different reasons, causes, and effects. Mostly the research starts from exploratory research, then descriptive research, and then explanatory research. Explanatory research is an attempt to find the question of why.
What are the examples of explanatory research?
- Descriptive research can tell that 20% of the students are failed in the exam. Explanatory research can tell that what is the reason behind this failure.
- Descriptive research answers that a computer system with more RAM has more speed. Explanatory research answers the question that why a computer system with more RAM has more speed as compared to a computer system with less RAM.
- Descriptive research can tell that all of the male students have more crazy behavior as compared to female students. The explanatory research explains that what is the reason behind this failure.
Methods of Explanatory Research Design
Some important methods of explanatory research design include the following;
- Depth Interview
- Case Analysis Research
- Focus Group Research
- Literature Research
1. Depth Interview
Depth Interview focus is to start your research with one well-educated and specialized person who knows and talks better about your research topic.
Suppose you are interviewing with a team of Laptop manufacturing company, then the well-educated and specialized person can be any one of the following;
- CEO
- Team Leader
- Sales Manager
- Marketing Manager
- Product Manufacturing Officer etc.
Depth Interview: Example of famous Coronavirus 2020
2. Case Analysis
Research paper writers can understand and solve the problem by researching similar cases with other cases. For example, if the sales of HP laptops are decreasing, then we can research for Dell laptops that why Dell laptops sales is increasing day by day. The competitor’s study plays a very important role in understanding our research topic.
Case Analysis: Example of famous Coronavirus 2020
3. Focus Groups in explanatory research design
Suppose you are researching why HP laptop sales are decreasing day by day. As a researcher, you must gather accurate and reliable information about the customers of HP laptops. You must get the information from your focus groups of customers. Some of the examples of the required information are mentioned below;
- What does the customer want?
- What is the customer needs?
- What are the customer fears?
The most effective method of obtaining this type of information is to meet directly with your audience, discuss with them and find out what’s on their minds and what they need.
Focus Groups: Example of famous Coronavirus 2020
Advantages of Focus Groups
- More useful when the results of the research are very unpredictable and you want to explore more details.
- Give the facility to the targeted people to express their ideas in detail.
- Give the facility to the targeted people to share their feelings.
- The researcher can observe the difference of opinions among people in the focus group.
- Sometimes it is preferable for the researcher that he/she leaves the room of peoples of the focus group to allow people to communicate with each other without any hesitation.
Drawbacks of Focus Groups
Some Drawbacks of Focus Groups are mentioned below;
- When you bring a group of people together at a place to talk about a brand (For example HP Laptops), some of the extremist group members try to force other people to convince with their opinion and this can lead to biased results. Sometimes it can be harmful to a product for which you are managing the focus groups.
- People/Customers are mostly frustrated with your product and try to express negative ideas with other group members.
- If we hire some incompetent researcher to moderate the group of customers of a product, it can be difficult to collect the full range of opinions, wants, thoughts, needs, and wishes of the focus group.
Literature Search
Literature Search is the fastest, easiest, and cheapest way to search the literature.
Some helpful resources in literature research are mentioned below;
- Hypothesis
- Internet
- Books and libraries.
- Magazines
- Journals
- Research Papers
- Conferences etc.
Literature Search: Example of famous Coronavirus 2020
Comparison of Explanatory and Exploratory Research
Explanatory | Exploratory | |
Objective | Describing the market characteristics.
|
Discovery of ideas. |
Methods | Panel
Surveys Observations Quantitative research |
Quantitative research Qualitative research
Pilot surveys Expert surveys |
Characteristics | Marked by the previous formulation of a specific hypothesis.
Pre-planned design so results in a well-structured design. |
Versatile and flexible.
Sometimes the front end of total research design. |
Comparison of Explanatory and Causal Research
Explanatory | Causal | |
Objective | Describing the market characteristics.
|
Determining the relationship between cause and effects.
. |
Methods | Panel
Surveys Observations Quantitative research |
Experimentation |
Characteristics | Marked by the previous formulation of a specific hypothesis.
Pre-planned design so results in a well-structured design. |
Manipulation of one or many independent variables.
Controlling the other mediating variable |
Comparison of Descriptive and Exploratory research
EXPLORATORY RESEARCH | DESCRIPTIVE RESEARCH | |
Meaning | conducted for formulating a problem for a more clear investigation. | explore and explain an individual, group, or situation. |
Objective | Discovery of ideas and concepts. | Explain characteristics and functions. |
Overall Design | Flexible | Rigid |
Statistical Design | No pre-planned design for analysis. | Pre-planned design for analysis. |
Sampling | Non-probability sampling | Probability sampling |
Explanatory and Response Variables
The explanatory variable can be used to explain or predict the differences in some other variable (response variable)..
Explanatory Variable
An explanatory Variable is also called an independent variable. Some researchers also name it as a predictor variable. Explanatory Variables explain variations in the response variable.
Response Variable
The response variable is also called the dependent variable. Some researchers also name it as an outcome variable. The value of Response Variable is predicted and its variation can be explained by the explanatory variable.
Degree & Age Example of Explanatory and Response Variables
Research question: Do Master level tend to be older than bachelor students?
This is an observational study. The researcher wants to use degree levels to explain the age differences. The explanatory variable is degree level. The response variable is age.
Examples of Explanatory research questions
Example #1: What is the effect of TikTok on today’s students?
Survey Question: Do you feel that TikTok has positively or negatively affected you?
Example #2: How do internees at our software house spend their working day?
Survey Question: What do you do on a typical working day?
FAQ
Which of the following would be the explanatory research? | Which of the following represents an explanatory research study? | Which of the following studies might be considered explanatory research? | which of the following studies might be considered explanatory research?
A.Panel
B. Surveys
C. Observations
D. Experimentation
E. A, B and C
Answer: E
Topic Covered
What is explanatory research? research methodology.