Implementing planned missingness in stimulus sampling designs
Strategies for optimizing statistical power and precision while limiting participant burden
Bibliographic Data
| ID | 9007438 |
|---|---|
| Authors | Robert E Wickham (0000-0002-0132-6235, Northern Arizona University, corresponding author), Brenna L Giordano (University of Massachusetts Chan Medical School) |
| Year | 2022 |
| Volume | 101 |
| Pages | 104349-104349 |
| Publication date | 2022-05-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Experimental Social Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0022-1031 • E-ISSN: 1096-0465 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jesp.2022.104349 |
| OpenAlex | W4280538565 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
Machine learning · Markov chain Monte Carlo · Missing data · Monte Carlo method · Sample size determination · Statistical model · Statistical power · Statistics · Animal Behavior and Welfare Studies · Artificial Intelligence · Behavioral and Psychological Studies · Computer Science · Mathematics · Psychology · Sensory Analysis and Statistical Methods
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |