Estimating the expected probability of an event in continuously recorded social behavior
Bibliographic Data
| ID | 4424804 |
|---|---|
| Authors | Douglas K Symons (corresponding author) |
| Year | 1992 |
| Volume | 111 |
| Issue | 1 |
| Pages | 185-187 |
| Publication date | 1992-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Bulletin (JOURNAL) |
| Journal identifiers | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037//0033-2909.111.1.185 |
| OpenAlex | W1975344824 |
| Language | EN |
| Citations received | 9 |
Statistical methods have emerged to investigate social interactions in which behavior is represented by continuously recorded data. The basis of any sequential analysis is the comparison of observed conditional probability of events and expected unconditional probability of events within or between persons. Less is known about the calculation of expected probabilities from continuously recorded data than more commonly used interval coding. Monte Carlo data is used to show that the expected probability of an event in continuously recorded data is calculated according to the negative exponential of the rate of the behavior and the length of the interval under consideration. Data are presented to support this relation for various intervals and events rates
Conditional probability · Econometrics · Event (particle physics) · Interval (graph theory) · Monte Carlo method · Statistics · Complex Systems and Decision Making · Mathematics · Mental Health Research Topics · Opinion Dynamics and Social Influence · Psychology · Social Psychology
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| Unique citing works | 5 |
|---|---|
| Citations per year | 0,3 |
| Citation span | 1996 - 2020 (25) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |