Teoridriven

Teoridriven, or theory-driven research, refers to approaches in which theory provides the central lens through which questions are posed, data are collected, and results are interpreted. In a theory-driven design, researchers start from an explicit theoretical framework and derive hypotheses, variables, and measurement strategies from that framework. The theory guides the selection of data sources, populations, and analytical techniques, and it shapes the interpretation of findings, including what counts as support or refutation.

Key characteristics include: an explicit theoretical foundation; deductive reasoning; pre-registered or clearly stated hypotheses; alignment of measures with theoretical constructs; and an iterative but theory-centered analysis that seeks to test or extend the theory rather than merely describe phenomena. This contrasts with data-driven or inductive approaches where theory is generated from data, sometimes via methods like grounded theory.

Applications are common in the social sciences and applied disciplines, where existing theories about behavior, communication, or organization guide research questions and interpretation. Theory-driven work can help build cumulative knowledge by testing theoretical propositions across contexts and time, and by refining construct definitions and relationships.

Criticisms include the potential for theory to constrain discovery, leading to confirmation bias or overlooking context-specific factors. Its usefulness depends on the quality and relevance of the underlying theory, and on transparent reporting of assumptions and limitations. When used sub-optimally, theory-driven work may be less flexible in accommodating new or unexpected findings.

See also: theory testing, deductive research, theoretical framework. Teoridriven research is a common stance in many disciplines, complementing data-driven and exploratory methods in a pluralistic research landscape.