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Ceteris

Made with care for the social sciences

Good questions.
Sound methods.
Meaningful discoveries.

Every step of your research in one place. Design your scale, set up your experiment and collect responses that are ready for analysis.

Create an account Try designing a survey Compare with Google Forms

Your account is activated with your institution code or a subscription · Participants' raw IP addresses are never stored

Survey and item design

Pick an item type on the left and it appears on the right. Edit it, then switch to "Participant preview" to see what participants will see. No account needed.

Survey form

No items yet. Pick a type on the left and edit the item it creates here.

This trial runs in your browser and nothing is saved. For a real study, create an account.

What does it mean?

What the platform's methodological features are called in social science terminology.

Quota sampling
Fills your sample in set proportions across subgroups such as age, gender or generation. Once a cell reaches its target, participation for that group stops, keeping the sample representative.
Random assignment
Distributes participants across experimental conditions (A/B/C/D) randomly and in balance. It safeguards the internal validity of comparisons between groups.
Screening criteria
Ends the survey for participants who don't meet your inclusion and exclusion criteria, before they enter the dataset. Every screening reason is reported separately.
Manipulation check
Verifies whether participants perceived the experimental manipulation as intended. Participants who didn't are flagged.
Attention check item
An embedded question that tests whether the participant is reading the items ("select X for this question"). It helps filter out careless responses.
Straight-lining
Flags thoughtless responses that give the same option to every item, based on timing and variance.
Participant funnel
Shows the transitions from started → screened out → dropped out → completed, so you can see where losses concentrate.
Paradata
A trace of response behaviour: event type, item and time. What was typed is never recorded; participants may include minors.

Research methods toolkit

Click a card for the methodological details.

Who is it for?

Click a card to see how that kind of researcher typically uses it.

Ceteris and Google Forms

The same ease of use, plus research infrastructure.

Feature comparison of Ceteris and Google Forms
Feature Google Forms Ceteris
Easy form building ✓ yes ✓ yes
Quota sampling ✗ no ✓ yes
Random condition assignment ✗ no ✓ yes
Separate report of screening reasons ✗ no ✓ yes
Automatic flagging of attention and manipulation checks ✗ no ✓ yes
Participant funnel and paradata ✗ no ✓ yes
SPSS syntax and value labels ✗ no ✓ yes

Forms collects data; Ceteris runs research.

Subscription

The product is offered by subscription; the scope of each plan is agreed in a conversation. If we have an agreement with your university, you can start right away with your institution code.

Individual

Researcher subscription

  • Studies: 10
  • Team: 1 person
  • Completed responses per study: Unlimited
  • Quota, condition assignment, screening and quality checks
  • SPSS syntax + labels
  • Validated scale templates

Researchers running their own studies, and graduate students.

Request
FOR TEAMS

Academic

Department / team subscription

  • Studies: Unlimited
  • Team: 15 people
  • Completed responses per study: Unlimited
  • Quota, condition assignment, screening and quality checks
  • SPSS syntax + labels
  • Validated scale templates

Students writing theses and faculty running experimental studies.

Request

Institutional

Faculty / university subscription

  • Studies: Unlimited
  • Team: Unlimited
  • Completed responses per study: Unlimited
  • Quota, condition assignment, screening and quality checks
  • SPSS syntax + labels
  • Validated scale templates
  • Priority support
  • Synthetic pilot (VoxSim, approved access)

An institution-wide workspace; scope is settled in a conversation.

Request

Have an institution code? Enter it when you sign up; your account is activated immediately.

Roadmap

Where the product stands and what comes next.

  1. Core infrastructure

    Done
    • Quota and random condition assignment
    • Participant funnel and paradata
    • SPSS / CSV output

  2. Working product

    Done
    • Survey builder with drag and drop and preview
    • Factor generator and crossed quotas
    • Ethics committee approval details
    • Multiple researchers and roles

  3. Pilot

    Now
    • Trial with selected researchers
    • Turkish and English participant screens
    • Support requests from the dashboard

  4. Launch

    Planned
    • Subscriptions and invoicing
    • Institutional support channel
    • More validated scales

Request a demo

Let's walk through your own study design.

What we'll show you

  • · Setting up your scale and manipulation
  • · Quota and random condition assignment settings
  • · The participant funnel
  • · A sample analysis with SPSS output

Your details are used only to get back to you about this request.

Sampling and quota management

Representative, balanced samples

Quota sampling fills your sample across subgroups in proportions you set in advance.

How it works

Example: once conditions A and D are full, new participants are routed only to B and C, keeping the two balanced.

Experimental design

Protect internal validity

Participants are assigned to conditions randomly and in balance. Block randomisation keeps cells evenly filled.

Supports

Screening

Ineligible participants never reach your data

Participants who don't meet your criteria are politely ended mid-survey, and their responses stay out of your analysis.

Example criteria

Every screening reason is reported separately: you see how many people were screened out by each criterion.

Data quality

A dataset you can trust

Automatic flags help you judge how reliable the collected data is. You can exclude flagged responses with one click.

Includes

Participant funnel and paradata

See where your data is lost

Follow the flow from started → screened out → dropped out → completed, and drill into the list at each stage.

Paradata

Events such as page views, focus on an item and time spent are recorded. What the participant types is never part of this record.

Responses are saved block by block: even if a participant drops out, the blocks they finished are kept.

SPSS and CSV output

Analysis-ready data

Download your data in a form your statistics software can read directly.

Features

Faculty member

Experimental studies, paper data.

Typical use

Sets up a 2×2 factorial experiment. The system assigns participants to conditions in balance; manipulation checks weed out inconsistent responses, and the SPSS file takes them straight into analysis.

Features they use

Graduate student

Thesis data collection, sampling.

Typical use

Tracks quotas in the thesis sample. Sees which cell is falling short and aims the call for participants at that group; screened-out and dropped-out participants are reported separately.

Features they use

Applied research

Consumer and brand studies.

Typical use

Compares two stimulus variants experimentally. A different image is shown in each condition, and results are exported by condition.

Features they use

Institution / department

A shared research workspace.

Typical use

Researchers in a department work in one workspace, each with their own role. Shared scale templates and a single invoice.

Features they use