
Code systems, summary grids, document variables, intercoder agreement and joint displays in MAXQDA, set up so qualitative and quantitative strands meet cleanly.
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MAXQDA analysis is a strong fit when your thesis combines interviews with survey data, or when you need a formal check on coding reliability. Shodhyantri supports PhD and Master's scholars using MAXQDA for structured qualitative content analysis, thematic work and mixed methods designs. We help you build the code system, attach document variables, summarise coded segments case by case, and link themes to numeric results.
MAXQDA offers many tools, and it is easy to produce outputs that look impressive but answer no research question. We keep the work focused. Each visual or table we prepare is tied to a stated objective. You remain the analyst who reads, codes and interprets; we provide method structure, coding review, reliability checks and clear outputs that support your own findings.
MAXQDA is developed by VERBI Software in Berlin and runs on Windows and Mac with the same interface. Its four main windows, the Document System, Document Browser, Code System and Retrieved Segments, keep data and codes visible together. Document variables store attributes such as age, district or survey scores against each document.
Beyond coding, MAXQDA includes Summary Grids for writing case-by-theme summaries, visual tools such as the Code Matrix Browser and MAXMaps, intercoder agreement functions, and dedicated mixed methods features that combine qualitative codes with quantitative variables in joint displays.
MAXQDA's intercoder agreement function lets two coders compare segments and report agreement, which some journals and supervisors expect.
Document variables and joint displays connect themes with survey groups, so integration appears in tables rather than only in discussion.
Summary Grids help you write a short summary per case and theme, which becomes the base for your findings narrative.
MAXQDA suits Kuckartz-style and Mayring-style qualitative content analysis, with category systems built deductively, inductively or both.
Survey exports with many open responses can be imported from Excel, with each respondent as a case and variables attached.
Matrix browsers, document portraits and MAXMaps are used only where they answer a research question, not as decoration.
Ten stages, each with a clear output. Nothing moves to the next stage until you have reviewed the last one.
— You review every stage first, then decide —
Every main category has a definition, coding rule and anchor example in its memo.
Document variables are matched against the source spreadsheet to avoid misassigned attributes.
Intercoder results are reviewed and disagreements resolved through discussion and rule revision.
Uncoded material is scanned to confirm nothing relevant to the questions was missed.
Joint displays are reviewed to confirm each comparison answers a stated mixed methods question.
Exported tables and visuals are compared with the live project for matching counts.
Every stage is shared with notes explaining what was changed and why. You and your supervisor check it, and the next stage starts only after your go-ahead.
| Common problem | How Shodhyantri helps |
|---|---|
| Calling a study mixed methods while analysing both strands separately with no integration. | We build joint displays and variable-based comparisons so integration is shown explicitly in your findings. |
| Reporting intercoder agreement without explaining the unit or method of comparison. | We document whether agreement was at code presence or segment level, the overlap rule used, and how disagreements were resolved. |
| Leaving category definitions in your head rather than in code memos. | Each code memo stores a definition, rule and example, making coding consistent and your method section easier to write. |
| Importing survey data with misaligned rows so responses attach to wrong respondents. | We check respondent IDs and sample rows after import to confirm every text and variable lines up correctly. |
| Filling chapters with every visual MAXQDA can produce. | We select only visuals that answer a research question and explain each one in a sentence or two. |
| Using code weights or colours without explaining what they mean. | Any weighting or colour scheme is defined in your methodology so readers can interpret it correctly. |
State whether categories are deductive, inductive or both. It shapes how you build and report the code system.
Sets let you compare subgroups temporarily without rearranging your main document groups.
Summary Grid notes help you see each case clearly before choosing quotations for the chapter.
Test intercoder agreement on two or three documents first, then refine rules before coding the rest.
Numeric variables such as age or score allow grouping and crosstabs more flexibly than text labels.
Code memos travel with the project and export into codebooks, saving time when writing methodology.
MAXQDA can export the code system with memos. A codebook appendix strengthens transparency for examiners.
Save dated copies outside the default folder. It protects against corruption and version changes.
Your work is handled by people who read your field's literature, not by a single generalist.
A PhD-qualified specialist from your field who checks the research logic, gap and contribution.
Handles statistics, models and qualitative coding, and documents every analytical decision.
Improves structure, flow, clarity and academic tone without changing your meaning.
Builds and validates MATLAB, Python, ANSYS or COMSOL work where your study needs it.
Checks grammar, consistency, numbering, citations and the small errors examiners notice.
Applies your university or journal template, reference style and front matter exactly.
MAXQDA links document variables with codes and offers joint display features, so you can compare themes across quantitative groups within one project. This makes integration easier to show than when strands are analysed in separate programs.
Not always. Reflexive approaches often do not use it, while structured content analysis and some journals expect it. We help you decide based on your method and target venue, and set it up properly if needed.
A second coder should usually be independent and named in your methodology. We can help you train a colleague and set up the comparison. If your supervisor approves us in this role, we document it transparently.
Yes. Export responses to Excel, and MAXQDA can import each row as a case with open answers as text and closed answers as variables. We check alignment after import. If row numbers or respondent IDs do not match, we fix the source file before coding begins, so no answer is lost or misassigned.
No. Agreement values depend on your category definitions and coders. We help you write clear rules and resolve disagreements, which usually improves agreement, and we report results honestly whatever they are. Agreement figures are reported as found.
No. AI Assist can summarise documents or suggest codes, but outputs need checking against the data, and use should be disclosed. We help you decide whether it adds value and how to report it. The coding decisions stay yours.
No. We provide summaries, matrices, joint displays and explanations. You write the findings and discussion. We then review your draft to confirm claims match the coded evidence. Any mismatch is flagged with the segments involved, so you can revise the text confidently.
We provide research guidance, statistical analysis, editing, formatting and training support. All research content remains the scholar's own work, in line with UGC and university academic integrity norms. We do not guarantee publication, acceptance, indexing or academic outcomes: journals decide through peer review and universities award degrees.
Share your topic, draft or data. We will tell you honestly what it needs, and what it does not, before you pay anything.