Conceptual research is a technique wherein investigation is conducted by watching and analyzing already present data on a given point. Conceptual research does not include any viable tests. It is related to unique concepts or thoughts. Philosophers have long utilized conceptual research to create modern speculations or decipher existing hypotheses in a diverse light.
It doesn’t include viable experimentation, but the instep depends on analyzing accessible data on a given theme. Conceptual research has been broadly utilized within logic to create modern hypotheses, counter existing speculations, or distinctively decipher existing hypotheses.
Today, conceptual research is utilized to answer business questions and fathom real-world problems. Researchers utilize explanatory apparatuses called conceptual systems to form conceptual refinements and organize thoughts required for investigation purposes.
Conceptual Research Framework
A conceptual research framework is built utilizing existing writing and studies from which inferences can be drawn. A conceptual research system constitutes a researcher’s combination of past research and related work and clarifies the phenomenon. The study is conducted to diminish the existing information gap on a specific theme and make important and dependable data available.
The following steps can be taken to make a conceptual research framework:
Explain a topic for research
The primary step is to characterize the subject of your research. Most analysts will choose a topic relating to their field of expertise.
Collect and Organize relevant research
As conceptual research depends on pre-existing studies and writing, analysts must collect all important data relating to their point. It’s imperative to utilize dependable sources and information from scientific journals or investigate well-presumed papers. As conceptual research does not utilize experimentation and tests, the significance of analyzing dependable, fact-based information is reinforced.
Distinguish factors for the research
The other step is to choose important factors for their research. These factors will be the measuring sticks by which inductions will be drawn. They provide modern scope to inquire about and offer to help identify how distinctive factors may influence the subject of research.
Make the Framework
The last step is to make the research framework by utilizing significant writing, factors, and other significant material.
Advantages of Conceptual Research
It requires few resources compared to other types of market research where practical experimentation is required. This spares time and assets.
It is helpful as this form of investigation only requires the assessment of existing writing.
Disadvantages of Conceptual Research
Speculations based on existing writing instead of experimentation and perception draw conclusions that are less fact-based and may not essentially be considered dependable.
Often, we see philosophical hypotheses being countered or changed since their conclusions or inferences are drawn from existing writings instead of practical experimentation.
Empirical research is based on observed and established phenomena and determines information from real involvement instead of hypothesis or conviction. It derives knowledge from actual experiences. How do you know a study is empirical? Pay attention to the subheadings inside the article, book, or report and examine them to seek a depiction of the investigating “strategy.” Inquire yourself: Could I recreate this study and test these results?
Key characteristics to see for:
- Specific research questions to be answered
- Definition of the population, behavior, or wonders being studied
- Description of the methods used to consider the population of the area of phenomena, including various aspects like choice criteria, controls, and testing instruments.
Empirical Research Framework:
Since empirical research is based on perception and capturing experiences, it is critical to arrange the steps to experiment and how to examine it. This will empower the analyst to resolve issues or obstacles amid the test.
- Define your purpose for this research:
This is often the step where the analyst must answer questions like what precisely I need to discover? What is the issue articulation? Are there any issues regarding the accessibility of knowledge, data, time, or assets? Will this research be more useful than what it’ll cost? Before going ahead, an analyst should characterize his reason for the investigation and plan to carry out assist tasks.
- Supporting theories and relevant literature:
The analyst should discover if some hypotheses can be connected to his research issue. He must figure out if any hypothesis can offer assistance in supporting his discoveries. All kinds of significant writing will offer assistance to the analyst to discover if others have researched this before. The analyst will also need to set up presumptions and also discover if there’s any history concerning his investigation issue
- Creation of Hypothesis and measurement:
Before starting the proper research related to his subject, he must give himself a working theory or figure out the probable result. The researcher has to set up factors, choose the environment for the research and find out how he can relate between the variables. The researcher will also need to characterize the units of estimations, tolerable degree for mistakes, and discover in the event that the estimation chosen will be approved by others.
- Methodology and data collection:
In this step, the analyst has to characterize a strategy for conducting his investigation. He must set up tests to gather the information that can empower him to propose the theory. The analyst will choose whether to require a test or non-test strategy for conducting the research. The research design will shift depending on the field in which the research is being conducted. Finally, the analyst will discover parameters that will influence the legitimacy of the research plan. The information collected will need to be done by choosing appropriate tests depending on the inquire-about address. To carry out the inquiry, he can utilize one of the numerous testing strategies. Once information collection is complete, the analyst will have experimental information which must be examined.
- Data Analysis and result:
Data analysis can be tried in two ways, qualitatively and quantitatively. The analyst will need to discover what subjective strategy or quantitative strategy will be required or will require a combination of both. Depending on the examination of his information, he will know if his speculation is backed or rejected. Analyzing this information is the foremost vital portion to bolster his speculation.
A report will need to be made with the discoveries of the research. The analyst can deliver the hypotheses and writing that support his investigation. He can make recommendations or suggestions to assist research on his subject
Advantages of empirical research
- Empirical research points to discover the meaning behind a specific phenomenon. In other words, it looks for answers to how and why something works the way it is.
- By recognizing why something happens, it is conceivable to imitate or avoid comparative events.
- The adaptability of the research permits the analysts to alter certain perspectives of the research and alter them to new objectives.
- It is more dependable since it speaks to a real-life involvement and not fair theories.
- Data collected through experimental research may be less biased since the analyst is there amid the collection handle. In contrast, it is incomprehensible to confirm the precision of the information in non-empirical research.
Disadvantages of empirical research
- It can be time-consuming depending on the research subject that you have chosen.
- It isn’t a cost-effective way of information collection in most cases because of the viable costly strategies of information gathering. Additionally, it may require traveling between numerous locations.
- Lack of proof and research subjects may not surrender the required result. A little test estimate avoids generalization since it may not be enough to speak to the target audience.
- It isn’t easy to induce data on touchy points. Additionally, analysts may require participants’ consent to utilize the data
Difference Between Conceptual and Empirical Research
Conceptual research and empirical research are two ways of doing logical research. These are two restricting investigation systems since conceptual research doesn’t include any tests, and empirical investigation does.
Conceptual research includes unique thoughts and ideas; as it may, it doesn’t include any experiments and tests. Empirical research, on the other hand, includes phenomena that are observable and can be measured.
- Type of Studies:
Philosophical research studies are cases of conceptual research, while empirical research incorporates both quantitative and subjective studies.
The major difference between conceptual and empirical investigation is that conceptual research involves unique thoughts and ideas, though experimental investigation includes investigation based on perception, tests, and unquestionable evidence.
- Empirical Research: Advantages, Drawbacks, and Differences with Non-Empirical Research. In Voicedocs. Retrieved from https://voicedocs.com/en/blog/empirical-research-advantages-drawbacks-and-differences-non-empirical-research
- Empirical Research: Definition, Methods, Types and Examples. In QuestionPro. Retrieved from https://www.questionpro.com/blog/empirical-research/
- Conceptual vs. empirical research: which is better? In Enago Academy. Retrieved from https://www.enago.com/academy/conceptual-vs-empirical-research-which-is-better/