NVivo, MAXQDA, ATLAS.ti, Dedoose, and Sopact Sense compared on the test that matters: does the tool integrate both strands, or just store them?
Mixed methods research tools are usually compared on coding features — NVivo against MAXQDA, Dedoose against the rest. The comparison that matters is different: where the qualitative and quantitative strands live, and whether the tool integrates them or just stores both. Most code one strand well and leave the integration to you.
By Unmesh Sheth · Founder & CEO, Sopact · Updated May 2026
Mixed methods research tools are the software used to analyze the qualitative and quantitative strands of a study. The established names — NVivo, MAXQDA, ATLAS.ti, and Dedoose — are CAQDAS packages: they code qualitative data and, to varying degrees, handle quantitative descriptors. A tool is mixed method in the full sense only if it integrates the two strands, not just stores both.
The question behind most tool searches — which platform combines qualitative and quantitative research — has a precise answer. It is the one where both strands share a record. Storing both is common; integrating them is not.
For most researchers, a mixed methods tool means a CAQDAS package — NVivo, MAXQDA, ATLAS.ti, Dedoose — software you import finished data into and code. They are excellent at coding qualitative data. But coding is the qualitative strand only. The quantitative strand sits in SPSS, R, or Excel, and the integration is a session the researcher runs by hand inside the tool, after both datasets are imported and matched.
If the rating and the narrative only meet during an analysis session weeks after collection, the tool stored two datasets. It did not integrate them. The comparison that follows is built on that one distinction — not on how well each tool codes a transcript.
Why integration is the whole study, not a final step, is the case made on the pillar: mixed methods research, redefined.
The first four are the established mixed methods research tools. The fifth is a different kind of tool. The rows are not coding features — they are the questions that decide whether a tool integrates the two strands or only stores them.
| Capability | NVivoQualitative coding suite | MAXQDAQDA with stats | ATLAS.tiQualitative coding suite | DedooseWeb-based mixed methods | Sopact SenseRisk-intelligence layer |
|---|---|---|---|---|---|
| Qualitative coding | Comprehensive manual and AI-assisted coding | Comprehensive, with AI Assist | Comprehensive, with AI coding | Tag-and-excerpt coding, collaborative | Reads each narrative against a defined codebook |
| Quantitative analysis | Via case classifications | MAXQDA Stats add-on | Limited; descriptive only | Numeric descriptors and charts | Native — closed scores on the same record |
| Where the data starts | Imported after collection | Imported after collection | Imported after collection | Imported or entered after collection | Collected in place, read on arrival |
| One ID across rounds | Not native — set up by hand | Not native — set up by hand | Not native — set up by hand | Not native | Native — one Contact ID, every wave |
| Integrating the strands | A session you run after import | A session you run after import | Manual; not the tool's focus | Side by side, after import | Continuous — the joint display assembles on the record |
NVivo, MAXQDA, ATLAS.ti, and Dedoose are the names a tool search returns. Each is genuinely strong at what it was built for. The gap each shares is the same: integration with the quantitative strand is a step you take, not a state the tool holds.
The long-standing standard for qualitative coding. Deep manual coding, case classifications, and an AI assistant, in a desktop-heavy environment. Owned by Lumivero.
Quantitative data enters as case classifications. Integrating it with a survey's closed scores is a manual step after import.
The most mixed-methods-minded of the coding suites. MAXQDA Stats handles quantitative analysis, and the tool can build joint displays inside a project.
The data still arrives by import after collection, and no persistent ID carries a respondent from one round to the next.
A powerful qualitative coding environment with AI coding. Strong for theory-building and dense interview analysis, with a deep set of linking and network tools.
Quantitative handling is limited. Integration with a numeric strand is not what the tool is built to do.
Web-based and built for mixed methods from the start. Affordable, collaborative, and comfortable with numeric descriptors alongside codes — popular in academic teams.
It analyzes data after it is collected and imported. It does not run the collection or hold one ID across waves.
None of these is a weak tool. The point is narrower: each codes the qualitative strand well and leaves the integration with the quantitative strand to the researcher — the step covered in mixed methods data analysis.
Coding quality is roughly even across the established tools. These four questions separate a tool that integrates from one that stores — ask them of any tool, including the one you already use.
If the numbers and the narratives live in separate files joined by export, the tool stores two datasets. It does not integrate them.
A 50-page report is qualitative evidence. Ask whether the tool reads it against the record as it lands, or files it for a coding session later.
A longitudinal mixed methods study needs each person's waves linked. Ask whether that link is native, or rebuilt by hand every round.
Any tool can produce a joint display if you assemble it. Ask whether the tool is built so the joint display assembles itself.
A tool that answers yes to all four is rare, because the four are architecture decisions made before collection — not coding features added later. For the designs each tool has to support, see mixed methods research design.
Sopact Sense is the fifth column of that matrix. It is not a better qualitative coder than NVivo or ATLAS.ti, and it is not trying to be. It is built to answer yes to the four questions above — because the integration is the architecture, not a step bolted on after import.
Closed scores, open-ended answers, uploaded documents, interview transcripts — all on the same record under one persistent Contact ID. A versioned rubric reads each narrative against the measures the moment it lands, construct by construct. The same ID carries each respondent across every round. The integration is not a feature you turn on; it is the state the tool holds — which is the column the established tools leave empty.
Bring the study you are evaluating tools for. We will show you the joint display on one record — and where your current tool leaves the integration to you.
Mixed methods research tools are the software used to analyze the qualitative and quantitative strands of a study. The established names are CAQDAS packages — NVivo, MAXQDA, ATLAS.ti, and Dedoose — which code qualitative data and, to varying degrees, handle quantitative descriptors. A tool is mixed method in the full sense only when it integrates the two strands on one record, rather than storing each separately.
Most tools store both kinds of data; far fewer integrate them. MAXQDA and Dedoose are the established tools most comfortable holding qualitative codes and quantitative descriptors side by side. The fuller test of combining the two is whether both strands share one record so the integration is continuous — that is the architecture Sopact Sense is built on, and the one a coding-first tool does not provide.
Both are mature qualitative coding suites, and the choice between them is mostly preference. MAXQDA is the more mixed-methods-minded of the two: MAXQDA Stats handles quantitative analysis and the tool can build joint displays. NVivo has a larger qualitative ecosystem and deep coding tools. Neither closes the integration gap on its own — in both, the strands are joined in an analysis session after import.
Dedoose is web-based, collaborative, affordable, and built for mixed methods, with numeric descriptors alongside codes — a common choice for academic teams. NVivo is desktop-centred with deeper qualitative coding and a larger feature set. Choose Dedoose for collaboration and lower cost, NVivo for depth of coding. Both analyze data after it is imported, so both leave the persistent-record question unanswered.
All four code qualitative data well. NVivo is the long-standing desktop standard; ATLAS.ti is strong for theory-building and dense interview work; MAXQDA is the most mixed-methods-oriented, with a statistics module; Dedoose is web-based, collaborative, and affordable. The difference among them is coding style and cost. The thing they share is that integration with the quantitative strand happens after import, not on a live record.
CAQDAS stands for Computer-Assisted Qualitative Data Analysis Software — the category that includes NVivo, MAXQDA, ATLAS.ti, and Dedoose. CAQDAS tools help researchers code, organize, and query qualitative data such as interviews and documents. They are qualitative-analysis tools first; the mixed methods label reflects added quantitative descriptors, not a built-in integration of the two strands.
Yes, for the qualitative side. Open-source tools such as Taguette and QualCoder code qualitative data at no cost, and Dedoose is among the lower-cost paid options. These free tools handle the qualitative strand only; they do not integrate it with a quantitative strand. For a mixed methods study, free qualitative software covers coding but still leaves the integration step to be done by hand.
Most now do. NVivo, MAXQDA, and ATLAS.ti all offer AI-assisted coding that suggests codes or summarizes text, and Dedoose has added AI features. AI speeds up the coding of the qualitative strand. It does not, on its own, integrate that strand with the quantitative one — integration is a question of where the data lives, not whether a model helped code it.
A qualitative coding tool analyzes one strand: it codes interviews, documents, and open-ended text. A mixed methods tool, in the full sense, holds both strands and integrates them — the qualitative codes and the quantitative measures on one record, read against each other. Many tools marketed as mixed methods are qualitative coding tools with quantitative descriptors added; the distinction is whether integration is built in or assembled by the researcher.
Yes, both can — with effort. MAXQDA in particular has mixed methods features and can build joint displays. The work is in getting there: the quantitative data is imported, the qualitative data is coded, the records are matched, and the integration is assembled in a session. The analysis is possible; what neither provides is a live record where the two strands are integrated as the data arrives.
Ask four questions of any tool: does it hold both strands on one record; does it read documents on arrival or just store them; does one ID carry a respondent across rounds; and is integration the architecture or a feature added later. Coding quality is roughly even across the established tools, so these four questions — not the coding feature list — are what separate them.
Mixed methods data analysis is usually done across two kinds of software: a CAQDAS tool such as NVivo or MAXQDA for the qualitative strand, and a statistics package such as SPSS, R, or Excel for the quantitative strand. The integration is then assembled by hand. A tool that keeps both strands on one record removes that hand-off — see the mixed methods data analysis guide for the integration step itself.
This page covers the tools. The pillar holds the methodology and the redefinition; the other four guides cover the design types, the analysis step, the worked examples, and the survey instrument.
A working session, not a demo. Bring a real study — the closed scores, the open answers, the documents. We map both strands onto one record and show you the joint display it produces. You leave with a clear read on what your tool integrates, and what it does not.
Live walkthrough · 30 min · with Unmesh Sheth, Founder & CEO · bring a study with both strands
