Research In Biostatistics

Research is defined as careful consideration of study regarding a particular concern or problem using scientific methods.

Research is also defined as a systematic inquiry to describe, explain, predict, and control the observed phenomenon.

It involves inductive and deductive methods.

  • Inductive research methods analyze an observed event, and approaches are associated with qualitative research.
  • Deductive methods verify the observed event and are more commonly associated with quantitative analysis.

Need for  Research:

  • Identify potential and new customers
  • Understand existing customers
  • Set pragmatic goals
  • Develop productive market strategies
  • Address business challenges
  • Put together a business expansion plan
  • Identify new business opportunities

Purpose of Research:


  • As the name suggests, researchers conduct exploratory studies to explore a group of questions.
  • The answers and analytics may not offer a conclusion to the perceived problem.
  • It is undertaken to handle new problem areas that haven’t been explored before.
  • This exploratory process lays the foundation for more conclusive data collection and analysis.


  • It focuses on expanding knowledge on current issues through a process of data collection.
  • Descriptive research describes the behavior of a sample population.
  • Only one variable is required to conduct the study.
  • The three primary purposes of descriptive studies are describing, explaining, and validating the findings.
  • For example, a study was conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company’s profit.


  • Causal or explanatory research is conducted to understand the impact of specific changes in existing standard procedures.
  • Running experiments is the most popular form.
  • For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Characteristics of Research:

  • Good research follows a systematic approach to capture accurate data.
  • Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
  • The analysis is based on logical reasoning and involves both inductive and deductive methods.
  • Real-time data and knowledge is derived from actual observations in natural settings.
  • There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
  • It creates a path for generating new questions.
  • Existing data helps create more research opportunities.
  • It is analytical and uses all the available data so that there is no ambiguity in inference.
  • Accuracy is one of the most critical aspects of research.
  • The information must be accurate and correct.
  • For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.
Types of Research

Common steps in Research:

Observations and formation of the topic

  • Consists of the subject area of one’s interest and following that subject area to conduct subject-related research.
  • The subject area should not be randomly chosen since it requires reading a vast amount of literature on the topic to determine the gap in the literature the researcher intends to narrow.
  • A keen interest in the chosen subject area is advisable.
  • The research will have to be justified by linking its importance to already existing knowledge about the topic.


  • A testable prediction that designates the relationship between two or more variables.

Conceptual definition

  • Description of a concept by relating it to other concepts.

Operational definition

  • Details in regards to defining the variables and how they will be measured/assessed in the study.

Gathering of data

  • Consists of identifying a population and selecting samples, gathering information from or about these samples by using specific research instruments.
  • The instruments used for data collection must be valid and reliable.

Analysis of data

  •  Involves breaking down the individual pieces of data to conclude it.

Data Interpretation

  • This can be represented through tables, figures, and pictures, and then described in words.

Test, revising of hypothesis

Conclusion, reiteration if necessary

Introduction to Research: Need for research, Need for the design of Experiments. Experiential Design Technique, plagiarism.

Make sure you also check our other amazing Article on : Statistics And Biostatistics
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