Methodology
This methodology page explains how Selfspecs measures your result, how it is compared with a published sample, how questionnaires are scored and where the limits are.
How timing is measured
A test that runs in a browser can only be as exact as the browser. Each press is stamped with the time the browser recorded when you pressed, not the time the page got round to reading it. The signal is stamped when it was drawn on the screen, not when the page asked for it. Between the two stamps lies your reaction.
A screen shows a new picture only so many times a second, so a signal can be shown a little later than it was planned. If the page stalls while a signal is showing, that try does not count and you do it again.
What a browser cannot see
A browser does not know how long your screen takes to light up, how long a touch screen takes to notice your finger or how long a mouse or keyboard takes to send a press. Together these add a delay that is hidden from us, and it is different for every device.
Robot tests of everyday computers and phones measured it[1][2]. For the reaction tests we allow for what they found beyond the study's own equipment: 44.1 ms to 115.1 ms with a keyboard or mouse, and 39.8 ms to 52 ms with a touch screen or pen. No study timed a mouse, so a mouse gets the keyboard's figures. That is why we show a range, on the quicker side of the time you see, and not a false exact figure, and why a result from a phone is not the same thing as a result from a computer. For the fairest look at how you are changing, use the same device each time.
Tries, practice and what does not count
- The first try of a timed test is for practice and does not count.
- A press that comes before the signal, or so soon after it that it must have been a guess, is not counted, and you do that try again.
- A try that takes far too long is shown as too slow and is left out of your result.
- If you switch to another tab or app during a try, that try does not count.
- A run that looks as if a machine made it, for example clicks spaced exactly evenly or faster than a hand can go, is kept but not compared with anyone.
Your result is usually the middle one of your counted tries, so one lucky or unlucky try does not decide it.
How a result is compared
We compare you only with a named sample: a published study, with its authors, its year, how many people took part and who they were. What we may say depends on how good the sample is. Where a study is good enough, we say roughly how many of the people in it you were quicker than, as a range, because of the hidden delay. Where it only gives rough levels, we show a level. Where it gives only a published range, we mark the range.
Some figures are not studies: a number that a website publishes about its own visitors, or a range that players report for clicking. We call these reported figures and community ranges, we draw them differently, and we never call them a norm. Where there is no sample at all, we show only your own earlier results.
The samples we use
These are the verified samples in our registry. A test is compared only with a sample that fits what it measures, in the language and on the kind of device it was taken with.
| Study | What it measured | People in it |
|---|---|---|
| Woods and others[3] | Reaction time of adults | 1,469 |
| Dhakal and others[4] | Typing speed on keyboards | 168,960 |
| Palin and others[5] | Typing speed on phones | 37,370 |
| Brysbaert[6] | Reading speed | 18,573 |
| Gosling and others[7] | A ten statement personality questionnaire | 1,813 |
| Miller[8] | How much we can hold in short-term memory | Not published as a count |
| Soukoreff and MacKenzie[9] | Speed of pointing at targets | Not published as a count |
How questionnaires are scored
Each questionnaire is scored the way its authors describe. Your answers are added up or averaged for each trait, some statements count backwards because they say the opposite of the trait, and the rules of that questionnaire decide what happens when you skip a question. A result is only given when enough questions are answered.
The page of each questionnaire lists its statements, its scoring key, its licence and its source. Where a questionnaire has no published comparison group for your language, the result shows where you sit between the two ends of each trait and says that it does not compare you with other people.
Languages, translations and what is unverified
Selfspecs is written in English first. The pages in other languages are translations made by Selfspecs and have not yet been checked by native speakers. For every questionnaire, its page says whether the statements are the original wording, a translation by Selfspecs or a translation that a native speaker has checked.
A figure that we have not been able to check against its source is not shown. Some of the explanations on this site were drafted with the help of a machine and are still waiting for a careful read by a person; the plain facts they contain come from the sources above.
Sources
- Pronk, T., Wiers, R. W., Molenkamp, B., & Murre, J. (2020). Mental chronometry in the pocket? Timing accuracy of web applications on touchscreen and keyboard devices. Behavior Research Methods, 52(3), 1371–1382.doi:10.3758/s13428-019-01321-2
Four devices from 2015 and 2016: a MacBook Pro, an ASUS laptop, a Samsung Galaxy S7 and an iPhone 6S, pressed by a robotAbstract: "In controlled circumstances, as can be realized in a lab setting, very accurate stimulus timing and moderately accurate RT measurements could be achieved on both touchscreen and keyboard devices, though RTs were consistently overestimated." Table 4 "Descriptives of RT overestimations (in milliseconds) per device and browser" (OS, Web Browser, Minimum, Maximum, Mean, SD): "Android Chrome 46.0 103.5 69.8 7.4", "iOS Safari 48.3 96.3 57.6 6.5", "MacOS Safari 93.0 163.7 132.9 8.1", "Windows Chrome 64.7 70.6 68.5 1.7", "Windows Firefox 49.8 84.9 61.9 5.7".
(read on 2026-10-06: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC7280355/fullTextXML) - Anwyl-Irvine, A., Dalmaijer, E. S., Hodges, N., & Evershed, J. K. (2021). Realistic precision and accuracy of online experiment platforms, web browsers, and devices. Behavior Research Methods, 53(4), 1407–1425.doi:10.3758/s13428-020-01501-5
Desktop and laptop computers with Windows 10 and macOS, pressed by a robot; and the equipment of 202,600 online participantsAbstract: "We then employed a robot actuator in realistic set-ups to measure response recording across the aforementioned platforms, and between different keyboard types (desktop and integrated laptop)." "We found that modern web platforms provide reasonable accuracy and precision for display duration and manual response time". Table 2 "RT delay is calculated as the difference between known and recorded RT." Browser means: "Chrome 78.81", "Edge 80.10", "Firefox 82.30", "Safari 76.50"; device means: "macOS-Desktop 85.35", "Windows-Desktop 76.24", "Windows-Laptop 73.65". Results: "We found that 77% of these devices were desktop or laptop computers, whereas only 20% were mobile devices" "Based on a sample of 202,600 participants."
(read on 2026-10-06: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC8367876/fullTextXML) - Woods, D. L., Wyma, J. M., Yund, E. W., Herron, T. J., & Reed, B. (2015). Factors influencing the latency of simple reaction time. Frontiers in Human Neuroscience, 9, 131.doi:10.3389/fnhum.2015.00131
n = 1,469; Community volunteers in Rotorua, New Zealand, aged 18 to 65 (mean age 45.8, 40% men) - Dhakal, V., Feit, A. M., Kristensson, P. O., & Oulasvirta, A. (2018). Observations on Typing from 136 Million Keystrokes. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18).doi:10.1145/3173574.3174220
n = 168,960; Self-selected volunteers from a typing-test site: mean age 24.5, 68% from the US, 85% native English speakers, 72% had taken a typing course - Palin, K., Feit, A. M., Kim, S., Kristensson, P. O., & Oulasvirta, A. (2019). How do People Type on Mobile Devices? Observations from a Study with 37,000 Volunteers. Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19).doi:10.1145/3338286.3340120
n = 37,370; Volunteers who took an online typing test on a mobile device; most from the US, 56% native English speakers - Brysbaert, M. (2019). How many words do we read per minute? A review and meta-analysis of reading rate. Journal of Memory and Language, 109, 104047.doi:10.1016/j.jml.2019.104047
n = 18,573; Adults reading English silently, pooled across 190 studies - Gosling, S. D., Rentfrow, P. J., & Swann, W. B., Jr. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37(6), 504–528.doi:10.1016/S0092-6566(03)00046-1
n = 1,813; Undergraduates at the University of Texas at Austin (65% women), tested for course credit - Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97.doi:10.1037/h0043158
Adults in the laboratory studies the essay reviews - Soukoreff, R. W., & MacKenzie, I. S. (2004). Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI. International Journal of Human-Computer Studies, 61(6), 751–789.doi:10.1016/j.ijhcs.2004.09.001
Participants of five published mouse studies from four research groups