2 datasets found
  1. Data from: Violence Is a Curvilinear Function of Temperature in Dallas: A...

    • icpsr.umich.edu
    Updated Feb 28, 2003
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    Rotton, James; Cohn, Ellen G. (2003). Violence Is a Curvilinear Function of Temperature in Dallas: A Replication [Dataset]. http://doi.org/10.3886/ICPSR01274.v1
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    Dataset updated
    Feb 28, 2003
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Rotton, James; Cohn, Ellen G.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1274/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1274/terms

    Area covered
    Dallas, United States, Texas
    Description

    Data on weather and aggravated assaults were obtained to determine whether the curvilinear relationship between temperature and violence previously observed in Minneapolis, Minnesota (E.G. Cohn and J. Rotton, 1997), could be replicated. The data consisted of calls for services received by police in Dallas between January 1, 1994, and December 31, 1995. Controlling for holidays, school closings, time of day, day of the week, season of the year, and their interactions, moderator-variable autoregression analyses indicated that assaults were an inverted U-shaped function of temperature. Replicating past research, the curvilinear relationship was dominant during daylight hours and spring months, whereas linear relationships were observed during nighttime hours and other seasons. The results are interpreted in terms of routine activity theory and the negative affect escape model of aggression.

  2. g

    Archival Version

    • datasearch.gesis.org
    Updated Aug 5, 2015
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    Rotton, James; Cohn, Ellen G. (2015). Archival Version [Dataset]. http://doi.org/10.3886/ICPSR01274
    Explore at:
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Rotton, James; Cohn, Ellen G.
    Area covered
    Dallas
    Description

    Data on weather and aggravated assaults were obtained to determine whether the curvilinear relationship between temperature and violence previously observed in Minneapolis, Minnesota (E.G. Cohn and J. Rotton, 1997), could be replicated. The data consisted of calls for services received by police in Dallas between January 1, 1994, and December 31, 1995. Controlling for holidays, school closings, time of day, day of the week, season of the year, and their interactions, moderator-variable autoregression analyses indicated that assaults were an inverted U-shaped function of temperature. Replicating past research, the curvilinear relationship was dominant during daylight hours and spring months, whereas linear relationships were observed during nighttime hours and other seasons. The results are interpreted in terms of routine activity theory and the negative affect escape model of aggression.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Rotton, James; Cohn, Ellen G. (2003). Violence Is a Curvilinear Function of Temperature in Dallas: A Replication [Dataset]. http://doi.org/10.3886/ICPSR01274.v1
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Data from: Violence Is a Curvilinear Function of Temperature in Dallas: A Replication

Related Article
Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 28, 2003
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Rotton, James; Cohn, Ellen G.
License

https://www.icpsr.umich.edu/web/ICPSR/studies/1274/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1274/terms

Area covered
Dallas, United States, Texas
Description

Data on weather and aggravated assaults were obtained to determine whether the curvilinear relationship between temperature and violence previously observed in Minneapolis, Minnesota (E.G. Cohn and J. Rotton, 1997), could be replicated. The data consisted of calls for services received by police in Dallas between January 1, 1994, and December 31, 1995. Controlling for holidays, school closings, time of day, day of the week, season of the year, and their interactions, moderator-variable autoregression analyses indicated that assaults were an inverted U-shaped function of temperature. Replicating past research, the curvilinear relationship was dominant during daylight hours and spring months, whereas linear relationships were observed during nighttime hours and other seasons. The results are interpreted in terms of routine activity theory and the negative affect escape model of aggression.

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