Assessing the Effects of Technical Variance on the Statistical Outcomes of Web Experiments Measuring Response Times
Bibliographic Data
| ID | 12170993 |
|---|---|
| Authors | Andrew Brand (0000-0002-6942-0404, King’s College London, London, UK, corresponding author), M T Bradley (0000-0002-9165-3677, University of New Brunswick) |
| Year | 2011 |
| Volume | 30 |
| Issue | 3 |
| Pages | 350-357 |
| Publication date | 2011-09-16 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science Computer Review (JOURNAL) |
| Journal identifiers | ISSN: 0894-4393 • E-ISSN: 1552-8286 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0894439311415604 |
| OpenAlex | W2148450172 |
| Language | EN |
| Citations received | 2 |
| References cited | 23 |
A simulation was conducted to assess the effect of technical variance on the statistical power of web experiments measuring response times. The results of the simulation showed that technical variance reduced the statistical power and the accuracy of the effect size estimate by a negligible magnitude. This finding therefore suggests that researchers’ preconceptions concerning the unsuitability of web experiments for conducting research using response time as a dependent measure are misguided
Analysis of variance · Data mining · Econometrics · Economics · Measure (data warehouse · Statistical analysis · Statistical model · Statistical power · Statistics · Variance (accounting · Animal and Plant Science Education · Computer Science · Mathematics · Online and Blended Learning · Species Distribution and Climate Change
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2020 - 2023 (4) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |