Guide for step 4

Empirical method

In the Empirical method step, you define whether your paper has an empirical component and how StudyTexter should prepare it methodologically.

The key fields are the methodological approach, the brief description of the empirical design, and the empirical materials that will be generated, simulated, linked, or included in the appendix.

1.

Whether your paper is empirical

In short
Choose Yes if your paper collects, simulates, observes, analyzes data, or systematically analyzes existing documents. Choose No if it is purely literature-based.
Yes, I am planning an empirical component
No, I am not planning an empirical component

This choice controls the later workflow. If you choose an empirical component, StudyTexter opens additional fields for methodology, design description, and empirical materials.

If you choose no empirical component, the later Empirical data step is skipped.

Document analysis or literature-based paper?

A literature-based paper uses academic literature to explain a topic or support arguments with sources.

Document analysis treats documents as data material. You analyze texts, cases, minutes, or websites systematically by criteria, categories, or patterns.

In short: if you use literature to justify your paper, it is usually literature-based. If you analyze documents themselves methodologically, it is more likely document analysis.

2.

Which methodological approach to choose

In Methodological approach, you classify the basic logic of your empirical work. This affects how StudyTexter expects collection, material, analysis, and later results to work.

Methodological approach

Surveys & Interviews

Quantitative & qualitative surveys of people

Empirical method: Surveys & Interviews

Surveys & Interviews

Use this when you survey people, conduct interviews, work with focus groups, or analyze existing answers.

This fits standardized surveys, guided interviews, focus groups, and mixed methods.

Check whether StudyTexter should prepare a questionnaire, interview guide, transcripts, questionnaire results, or a result analysis.

Example topics

Typical situations: You want to understand how people assess a topic, what experiences they have had, or how often certain answers occur.

Example topics: How do employees evaluate hybrid work? Which factors influence purchase decisions in an online shop? How do teachers experience the use of AI in class? What expectations do customers have for sustainable packaging?

Materials that may be needed: Questionnaire, interview guide, consent form, transcripts, questionnaire results, codebook, category system, result analysis, or raw data export from a survey tool.

Methodological approach

Experiments & Observations

Controlled tests, simulations, or field observations

Empirical method: Experiments & Observations

Experiments & Observations

Use this for controlled tests, simulations, observational studies, or measurement series.

This fits experiments, Monte Carlo simulations, field observations, lab setups, or systematic tests.

Important details are conditions, variables, data source, collection, and expected evaluation.

Example topics and use cases

Typical situations: You compare conditions, observe behavior, evaluate measurements, or simulate data to test methods, groups, or scenarios in a controlled way.

Example topics and use cases: A/B test: Which landing page variant leads to more signups? Observation: How do customers move through a sales area? Simulation: How robust are regression models with outliers? Field experiment: How does a reminder affect response rate?

Materials that may be needed: Experiment design, observation protocol, raw data, measurements, simulation script, variable description, evaluation tables, result analysis, or appendix material showing the setup.

Methodological approach

Document analysis

Analysis of existing texts, cases, or documents

Empirical method: Document analysis

Document analysis

Use this when existing texts, cases, minutes, laws, contracts, press articles, or other documents are analyzed systematically.

Document analysis focuses on existing materials rather than interviewing people.

The documents to be analyzed should be available as raw data or primary documents. Category systems, evaluation grids, or guides can help.

Example topics and use cases

Typical situations: You analyze documents not only as sources, but as the object of study. The important point is which criteria, codes, or comparison logic you use.

Example topics and use cases: How do parties present climate policy in election programs? Which patterns appear in support-ticket complaints? How do sustainability reports change over several years? Which argument patterns do newspaper articles use in a conflict?

Materials that may be needed: Primary documents, raw data, category system, evaluation grid, coding guide, case material, document collection, result analysis, or notes on the document selection.

Survey/Interview type

  • Survey (Quantitative)
  • Interviews / Focus group (Qualitative)
  • Mixed methods
3.

How to check the brief description

Brief description of the empirical design
Read this text completely. If important information is missing, StudyTexter may add or simulate it automatically.

The brief description of the empirical design summarizes data source, collection, analysis, and expected results.

It later becomes the basis for methodology, empirical materials, and, if needed, simulated or prepared data.

  • Is it clear where data, documents, answers, or simulation values come from?
  • Is it described how the data are collected, generated, observed, or assembled?
  • Is the evaluation logic or comparison perspective recognizable?
  • Do assumptions and expected results fit the research question?
If you do not have real data yet

That is not automatically a problem. StudyTexter can work with planned, simulated, or later-to-be-checked data, depending on the project. What matters is that you make clear what already exists, what is still planned, and what may be simulated.

4.

How to use your own materials

In short

File upload answers: Which file is available?

The link in Empirical method answers: What role does this file play in the empirical design?

If you already have empirical materials, upload them first in File upload and mark them as Appendix & Empirical Material.

Then return to Empirical method. Under Empirical materials, choose the right material type and link the file via Linked upload.

If you add new files later, save File upload and click Regenerate in Empirical method.

1. Upload in File upload

Upload empirical files in File upload. Choose Appendix & empirical material when the file should be used as data basis, appendix, or empirical material.

Use Description / Notes to explain what the file contains, how it was collected, and whether it should be analyzed, only attached, or used as the basis for a material.

  • Upload transcript, questionnaire, raw data, or category system
  • Mark the file as Appendix & Empirical Material
  • Explain the file's role in Description / Notes
  • Choose the right material type under Empirical materials and link the upload

2. Link in Empirical method

Linked upload

No upload (will be generated/simulated) · Will be generated/simulated

3. Check afterwards

Check whether name, document type, notes, appendix selection, generate/simulate option, and linked upload fit together. If a real file exists, it should be linked. If StudyTexter should create the material first, generating or simulating it can make sense.

5.

Which empirical materials matter

Under Empirical materials, you define which files or appendices are needed for the empirical component.

Some materials can be linked to existing uploads. Others can be generated or simulated by StudyTexter.

Watch the order
The order of materials later determines the order in the appendix: the first entry becomes Appendix A, the next Appendix B, and so on.

If your university expects a fixed appendix order, sort the entries here accordingly. A typical order is: consent form, questionnaire or guide, raw data or results, then evaluation or result analysis.

Add material
Consent form
Data protection or participation documents that should be documented in the appendix.
Experiment design
Setup, conditions, variables, or procedure of an experiment, simulation, or observation.
Questionnaire
Planned or existing survey questions, scales, and response formats.
Interview guide
Guiding questions, conversation structure, topic blocks, or moderation notes.
Raw data
Datasets, measurements, export files, or primary documents that will be analyzed.
Transcript
Written interviews, focus groups, conversations, or observation notes.
Questionnaire results
Completed questionnaires, tables, or summaries from a survey.
Interview results
Codes, categories, summaries, or already analyzed interview data.
Result analysis
Evaluation, synthesis, calculations, or interpretation of empirical results.
Other
Supporting material that explains or documents something but does not fit another type.
What can count as Other
  • Photos of the experimental setup, room, or material
  • Screenshots of tool settings or platform setups
  • Approvals, ethics clearances, or field-access evidence
  • Recruitment material such as invitation, poster, or flyer
  • Participant information sheet or debriefing text
  • Stimulus material such as images, texts, videos, or scenarios
  • Supplementary graphics, floor plans, or process sketches
  • Technical documentation for collection or export

Rule of thumb: if the file explains, proves, or documents how your empirical work came about, but is not itself the data or evaluation, it usually fits under Other.

Notes / Context

Use Description / Notes to explain what the file contains, how it was collected, and whether it should be analyzed, only attached, or used as the basis for a material.

When you should link an existing upload

Link an upload when the matching file has already been uploaded in File upload. This is useful for real transcripts, datasets, questionnaires, interview guides, raw documents, or existing result files. If no file exists, the material may remain generated or simulated depending on its type.

6.

How StudyTexter uses these details

StudyTexter uses this step to classify the empirical component of your paper methodologically.

The more precisely you check empirics, method, brief description, and materials, the less you need to correct later in methodology, empirical data, results, and appendix.

  • Empirical Yes/No decides whether Empirical data appears later.
  • Methodological approach defines whether StudyTexter expects surveys, experiments, observations, simulations, or document analyses.
  • Brief description becomes the basis for data source, collection, analysis, and expected results.
  • Empirical materials control what appears in the appendix, what is generated or simulated, and which uploads serve as data basis.
Impact on later steps
The cleaner you check this step, the less you will need to correct later in methodology, empirical data, result presentation, and appendix.
7.

Final checklist

Before you finish the step, check the most important decisions again, especially if you uploaded or later added your own empirical files.

Do not forget to save

If you change the empirical setup, materials, or linked uploads, save the step before moving on.

Save
Important when adding uploads
If you upload empirical files later, save File upload and regenerate Empirical method.