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QRTEngine: An easy solution for running online reaction time experiments using Qualtrics

Overview of attention for article published in Behavior Research Methods, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
7 tweeters
peer_reviews
1 peer review site
facebook
2 Facebook pages

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
162 Mendeley
Title
QRTEngine: An easy solution for running online reaction time experiments using Qualtrics
Published in
Behavior Research Methods, November 2014
DOI 10.3758/s13428-014-0530-7
Pubmed ID
Authors

Jonathan S. Barnhoorn, Erwin Haasnoot, Bruno R. Bocanegra, Henk van Steenbergen

Abstract

Performing online behavioral research is gaining increased popularity among researchers in psychological and cognitive science. However, the currently available methods for conducting online reaction time experiments are often complicated and typically require advanced technical skills. In this article, we introduce the Qualtrics Reaction Time Engine (QRTEngine), an open-source JavaScript engine that can be embedded in the online survey development environment Qualtrics. The QRTEngine can be used to easily develop browser-based online reaction time experiments with accurate timing within current browser capabilities, and it requires only minimal programming skills. After introducing the QRTEngine, we briefly discuss how to create and distribute a Stroop task. Next, we describe a study in which we investigated the timing accuracy of the engine under different processor loads using external chronometry. Finally, we show that the QRTEngine can be used to reproduce classic behavioral effects in three reaction time paradigms: a Stroop task, an attentional blink task, and a masked-priming task. These findings demonstrate that QRTEngine can be used as a tool for conducting online behavioral research even when this requires accurate stimulus presentation times.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
Netherlands 2 1%
Canada 2 1%
United Kingdom 2 1%
Chile 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Unknown 146 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 31%
Student > Master 29 18%
Researcher 23 14%
Student > Doctoral Student 11 7%
Student > Bachelor 10 6%
Other 38 23%
Readers by discipline Count As %
Psychology 100 62%
Social Sciences 13 8%
Unspecified 11 7%
Business, Management and Accounting 8 5%
Linguistics 6 4%
Other 24 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 October 2017.
All research outputs
#2,680,553
of 12,545,426 outputs
Outputs from Behavior Research Methods
#277
of 1,068 outputs
Outputs of similar age
#53,709
of 287,632 outputs
Outputs of similar age from Behavior Research Methods
#7
of 26 outputs
Altmetric has tracked 12,545,426 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,068 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,632 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.