Analysekader

Analysekader, or analysis framework, is a structured approach used to organize and guide analytical work. It helps researchers and practitioners define the problem, clarify concepts, and plan how data will be collected, analyzed, and interpreted.

A typical analysekader outlines the purpose and scope, key concepts and variables with clear definitions, indicators or metrics, and the presumed relationships or causal mechanisms among them. It also specifies data sources, methods of analysis, and criteria for validity and reliability, along with ethical considerations and limitations.

Common forms include logic models, conceptual frameworks, and theory-driven frameworks, as well as analytical grids or matrices that map questions to data and methods.

Development is usually iterative: it starts with a literature review or problem framing, is refined with input from stakeholders or experts, and is tested in pilot analyses or case studies.

Applications span evaluation and policy analysis, program design, health and social sciences, market research, and risk assessment.

Example: a logic model linking inputs (funding, staff), activities (training), outputs (delivered trainings), outcomes (skills), and impacts (improved performance). An analysekader provides a structure to document these elements and the analytic steps.

Limitations: if poorly designed, it can constrain analysis or oversimplify context. It requires ongoing adaptation to the specific setting and transparent documentation of assumptions.