1973
DOI: 10.2307/2600222
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Identifying and Measuring Changes in the Frequency of Event Data

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Cited by 14 publications
(4 citation statements)
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“…The probability of increased virtual communication with friends and family is constructed following Hayes ( 1973 ), where the frequency of events is dependent on the number of intervals that are Poisson-distributed. Based on the two questions in the survey, “During a typical month prior to March 1, 2020, when COVID-19 began spreading in the United States, how often did you communicate with friends and family by phone, text, email, app, or using the Internet” and “In the past month, how often did you communicate with friends and family by phone, text, email, app, or using the Internet”, we naturally have two-time frames—the first is the one month prior to March and the second is the one month before the field interview.…”
Section: Data Variables and Methodsmentioning
confidence: 99%
“…The probability of increased virtual communication with friends and family is constructed following Hayes ( 1973 ), where the frequency of events is dependent on the number of intervals that are Poisson-distributed. Based on the two questions in the survey, “During a typical month prior to March 1, 2020, when COVID-19 began spreading in the United States, how often did you communicate with friends and family by phone, text, email, app, or using the Internet” and “In the past month, how often did you communicate with friends and family by phone, text, email, app, or using the Internet”, we naturally have two-time frames—the first is the one month prior to March and the second is the one month before the field interview.…”
Section: Data Variables and Methodsmentioning
confidence: 99%
“…Because more than one permanent member cast vetoes on the same day on several occasions and, more rarely, the same permanent member cast multiple vetoes on the same day, this assumption is subject to violation. To avoid this danger, we follow Hayes's (1973) suggestion by coding the days on which any veto happened as an event occurrence. By using 'veto-days' as our unit of analysis, we reduce the probability of more than one event occurrence falling on any given interval to zero.…”
Section: Poisson Probabilitymentioning
confidence: 99%
“…Simply put, the central system includes those states in addition to the European great powers that play vigorous parts in interstate politics (see Singer and Small, 1972: 22-30). measurement technique proposed by Hayes (1973) and used by Rood and McGowan (1974: 6) in their study of alliance flexibility during the nineteenth century. Simply stated, they calculated the average rate of alliance formation by five-year intervals (m), and then determined the cumulative probability that the observed number of alliances formed in each period (x) was less than m. These probabilities were a measure of changes in the rate of alliance formation: the higher the probability score, the greater the flexibility during the half-decade under study.…”
Section: Index Constructionmentioning
confidence: 99%