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Atlas Blog

Open Coding: Label Qualitative Data Without Losing Context

Open coding gives first-pass labels to data segments. See a source-linked example, compare labels across cases, and keep coding decisions with the researcher.

Operationalization in Research: Compare Concepts and Measures

Operationalization turns a research concept into observable indicators and procedures. Use a checked matrix to compare how studies measure the same construct.

Outcome Harvesting: Six Steps and a Worked Outcome Statement

Learn the six steps of outcome harvesting, draft a verifiable outcome statement, and plan independent substantiation with a worked evidence log and questions.

Outcome Mapping: Track Change in Your Partners

Learn outcome mapping with a worked community-center example. Define boundary partners, set progress markers, and keep a useful dated outcome journal.

Peer Debriefing in Qualitative Research: Worked Example

Peer debriefing in qualitative research, with a worked example: choose a colleague, test a claim against excerpts, and record what changed after source checks.

Phenomenography: Trace Conceptions to an Outcome Space

Phenomenography maps different ways people understand one phenomenon. Learn to compare interviews, test categories, and show relationships in an outcome space.

Position Paper: Build a Claim, Evidence, and Counterargument

A position paper defends a debatable claim with checked evidence. See a worked argument map, counterargument, outline, and audience-specific format tips.

Process Coding: Name Actions Without Inventing a Sequence

Process coding labels actions in qualitative data with gerunds. Learn to trace source passages, compare changes across cases, and avoid inferred timelines.

Process Tracing: How to Test a Causal Story in One Case

Process tracing tests a proposed causal sequence within a case. Learn how to set rival hypotheses, check source evidence, and write a bounded finding.