Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,299

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

PsyToolkit: A Novel Web-Based Method for Running Online Questionnaires and Reaction-Time Experiments

Stoet, Gijsbert·2017·Teaching of Psychology

Abstract

This article reviews PsyToolkit, a free web-based service designed for setting up, running, and analyzing online questionnaires and reaction-time (RT) experiments. It comes with extensive documentation, videos, lessons, and libraries of free-to-use psychological scales and RT experiments. It provides an elaborate interactive environment to use (or modify) the existing questionnaires and experiments from the PsyToolkit library or to design new studies. Once users have set up their study, they can recruit participants for online participation, and data can be downloaded in spreadsheet format after collection. This article provides examples of how questionnaires and RT experiments can be set up using the website. The PsyToolkit links to online questionnaires and experiments, and these links can easily be embedded in social media networks for participant recruitment, including Amazon's Mechanical Turk. PsyToolkit’s exhaustive documentation enables students to work independently. This article finishes with pedagogical considerations.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/0098628316677643

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 18 references

Metadata

Authors
Stoet, G.
Venue
Teaching of Psychology
Published
2016-11-15
Volume
44
Issue
1
Pages
24-31
ISSN
  • 0098-6283 (ISSN-L)
  • 1532-8023
OpenAlex
W2380489056
Cited by
1,299
References
18
FWCI
25.02
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: PsyToolkit: A Novel Web-Based Method for Running Online Questionnaires and Reaction-Time Experiments. https://app.cochat.ai/papers/10.1177/0098628316677643
The paper
Stoet, G. (2017). PsyToolkit: A Novel Web-Based Method for Running Online Questionnaires and Reaction-Time Experiments. Teaching of Psychology. https://doi.org/10.1177/0098628316677643

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.