With reference to the discipline in which one is doing the research, there may be different ways to categorise research. here it is done keeping in mind Social Science research under which falls media studies.
When you start planning a research project, developing research questions and creating a research design, you will have to make various decisions about the type of research you want to do.
There are many ways to categorise different types of research, considering, the type of knowledge you aim to produce, the type of data you will collect; and the sampling methods, timescale and location of the research. This article takes a look at some common distinctions made between different types of research and outlines the key differences between them.
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Research is not a monolithic activity. It takes many forms depending on what the researcher is trying to achieve, how they intend to gather and analyse data, how their study is distributed across time, and what intellectual purpose drives the inquiry. These four dimensions — the nature, method, duration, and purpose of research — provide a useful framework for classifying the broad landscape of research types. Understanding this taxonomy is essential for any scholar, since the choice of research type shapes every subsequent decision in the research process, from the selection of a method to the construction of a hypothesis and the interpretation of findings.
Research Classified by Nature
The first basis for distinguishing types of research is its fundamental nature — specifically, whether it is oriented towards the development of theory or the application of it.
Pure research, also known as basic or fundamental research, is concerned with the advancement of theory and the expansion of knowledge for its own sake. It is not motivated by the need to solve a particular practical problem, but rather by the desire to answer foundational questions about how, what, and when. Its outcomes tend to be universal principles that form the bedrock upon which applied work can later be built. Applied research, by contrast, directs theoretical knowledge towards understanding a specific problem or phenomenon, putting established concepts to work in concrete contexts. Even more practically oriented is action research, which goes a step further — its explicit goal is not merely to understand a problem but to solve it, applying theory in the pursuit of direct, real-world change.
Two further nature-based types round out this category. Conceptual research operates at the level of ideas and abstractions, dealing with theoretical constructs and frameworks rather than empirical data. Its domain is philosophical and intellectual rather than observational. Empirical research, in direct contrast, grounds its claims in data that can be verified through observation or experiment; the researcher formulates a hypothesis and then seeks to prove or disprove it through systematic inquiry. Finally, historical research draws on past records, documents, and events to understand specific problems or to apply historical knowledge in solving present challenges.
Research Classified by Method
The second dimension of classification concerns the method used to gather and work with data — chiefly, whether the research operates with numbers or with words.
Quantitative research works with quantifiable data in the form of numbers and statistics. Using instruments such as questionnaires, it studies phenomena through measurement — examining frequencies, rates, amounts, scores, and measurable differences. Sample sizes tend to be large, and the research is more objective in character, suitable for developing and testing hypotheses through statistical analysis. Qualitative research, by contrast, is concerned with social and cultural phenomena, seeking in-depth understanding and critical interpretation rather than numerical measurement. It uses tools such as observation and interviews, operates with smaller samples sized to achieve data saturation, and concerns itself with perceptions, feelings, thoughts, opinions, and representations — material that is inherently subjective and not easily countable. Where quantitative research asks "how many?" or "how much?", qualitative research asks "what does this mean?" and "how does this work?".
A third approach, mixed method research, bridges these two traditions by combining both quantitative and qualitative approaches within a single study. It typically begins with qualitative inquiry and proceeds to quantitative analysis, and often employs the triangulation method — using multiple data sources and approaches to cross-verify findings and strengthen the overall validity of the research.
Research Classified by Duration
The third dimension concerns time — specifically, whether the research captures a single moment or tracks change over a period.
Cross-sectional research studies different samples or groups at a single point in time, offering a snapshot of a phenomenon as it currently exists across various segments of a population. It is well suited to capturing variation at a given moment but cannot track change over time. Longitudinal research, by contrast, follows the same sample over an extended period, with the researcher returning to participants at regular intervals. This approach is invaluable for studying how phenomena develop, shift, or persist over time, making it particularly appropriate for developmental and social change studies.
Research Classified by Purpose
The fourth and perhaps most illuminating dimension is purpose — what the researcher is actually trying to accomplish through the study.
Descriptive research sets out simply to describe a phenomenon as it is, without attempting to explain causation or predict outcomes. It is concerned with accurately portraying the characteristics of a subject, population, or situation. Analytical or explanatory research goes further, asking not just what is happening but how and why — it seeks to explain the mechanisms and causes underlying a phenomenon. Exploratory research is undertaken when very little prior knowledge exists about a problem or issue. Its goal is not to arrive at definitive conclusions but to generate leads, insights, and preliminary understanding that can inform future, more focused research.
Predictive research aims to forecast certain phenomena or outcomes by identifying and generalising from established relationships between variables. Comparative research, meanwhile, is oriented towards examining the similarities and differences between subjects, groups, or contexts, and co-relating variables to understand how they compare and interact.
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