|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM318558513 |
| 003 |
DE-627 |
| 005 |
20231225165611.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231225s2021 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TVCG.2020.3028894
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n1061.xml
|
| 035 |
|
|
|a (DE-627)NLM318558513
|
| 035 |
|
|
|a (NLM)33290222
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Wang, Xiaoyi
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Argus
|b Interactive a priori Power Analysis
|
| 264 |
|
1 |
|c 2021
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Revised 02.02.2021
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
| 520 |
|
|
|a A key challenge HCl researchers face when designing a controlled experiment is choosing the appropriate number of participants, or sample size. A priori power analysis examines the relationships among multiple parameters, including the complexity associated with human participants, e.g., order and fatigue effects, to calculate the statistical power of a given experiment design. We created Argus, a tool that supports interactive exploration of statistical power: Researchers specify experiment design scenarios with varying confounds and effect sizes. Argus then simulates data and visualizes statistical power across these scenarios, which lets researchers interactively weigh various trade-offs and make informed decisions about sample size. We describe the design and implementation of Argus, a usage scenario designing a visualization experiment, and a think-aloud study
|
| 650 |
|
4 |
|a Journal Article
|
| 700 |
1 |
|
|a Eiselmayer, Alexander
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Mackay, Wendy E
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Hornbaek, Kasper
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Wacharamanotham, Chat
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 27(2021), 2 vom: 01. Feb., Seite 432-442
|w (DE-627)NLM098269445
|x 1941-0506
|7 nnns
|
| 773 |
1 |
8 |
|g volume:27
|g year:2021
|g number:2
|g day:01
|g month:02
|g pages:432-442
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TVCG.2020.3028894
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 27
|j 2021
|e 2
|b 01
|c 02
|h 432-442
|