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Showing 1 to 13 of 13 data sets matching violence
Data Set/Description Owner Last edited Size Views
Top Grossing Movies Coded for Content.xls
Data were gathered for the top grossing movies for 2004-2009. MPAA ratings, critics ratings, genre, and gross receipts. In addition, data were gathered from the Kids in Mind website on whether the movies included sex/nudity, violence, and profanity (all on a 1-10 scale). We also coded the movies (0 = No, 1 = Yes) for the presence of racism, class discrimination, adult topics, and drug use.
green.williamdApr 15, 20102KB812
domviol.xls
This data was a pilot study of health outcomes related to domestic violence. Women from domestic violence shelters were asked about the severity of symptoms experienced in the last year. Women who were not abused were often workers at domestic violence shelters. The severity of the emotional, sexual, and physical violence was categorized into four groups 0 - no abuse, 1=least abuse, 2=middle level, and 3 = most. Abused is a dummy for whether abuse occurred. The main outcome variables are dummy variables for whether the woman experienced the health malady often in the last year. sxllhead=severe headaches, sxlinsom=insomnia, sxlchest=chest pain, sxlpelv=pelvic pain, sxlstom=stomach pain, sxlchok=sensation of choking, sxlbrea=shortness of breath,sxlvag=vaginal infection, sxlfat = fatigue. The women were age 18 - 48. Age25-34 is a dummy variable for age 25-34 and age35p is a dummy for ages 35 - 48. The variables least, middle, and most are dummy variables for level of violence. [Note: there are no easy labels for severity of violence. The label "Least" in no way implies that such a level is not important nor does it imply that there are no serious negative consequences on the life of the women experiencing the violence.] Creating contingency tables of abuse status vs. the health maladies is excellent practice for conditional probability and calculating a prevalence ratio to compare the two probabilities.
jph422Oct 15, 20086KB782
Gun Violence in the U.S. over the last 72 hours (recorded 10am ET on Oct 22, 2015)
Variables include the date of the incident, location information (state, city, street address) and the number killed/injured in the incident.
websterwestNov 23, 201539KB473
domviol.xls
This data was a pilot study of health outcomes related to domestic violence. Women from domestic violence shelters were asked about the severity of symptoms experienced in the last year. Women who were not abused were often workers at domestic violence shelters. The severity of the emotional, sexual, and physical violence was categorized into four groups 0 - no abuse, 1=least abuse, 2=middle level, and 3 = most. Abused is a dummy for whether abuse occurred. The main outcome variables are dummy variables for whether the woman experienced the health malady often in the last year. sxllhead=severe headaches, sxlinsom=insomnia, sxlchest=chest pain, sxlpelv=pelvic pain, sxlstom=stomach pain, sxlchok=sensation of choking, sxlbrea=shortness of breath,sxlvag=vaginal infection, sxlfat = fatigue. The women were age 18 - 48. Age25-34 is a dummy variable for age 25-34 and age35p is a dummy for ages 35 - 48. The variables least, middle, and most are dummy variables for level of violence. [Note: there are no easy labels for severity of violence. The label "Least" in no way implies that such a level is not important nor does it imply that there are no serious negative consequences on the life of the women experiencing the violence.] Creating contingency tables of abuse status vs. the health maladies is excellent practice for conditional probability and calculating a prevalence ratio to compare the two probabilities.
ariadnipapanaFeb 13, 20096KB141
Copy of CountriesHomicides.xlsx
The data describes and shows different statistical rates for gun violence and homicide rates.
acaetan1Feb 11, 20145KB46
Domestic ViolenceesassoSep 29, 20132KB1883
Gun Violence Data 2010 by StateburnsbethFeb 1, 20163KB57
Violence entertainment statcrunch.xlsx
Violent Entertainment Survey
sapphiredream25Apr 28, 20139KB21
Crime rates (violence) 1994-2015cetrohaFeb 13, 2017336B86
Crime rates (violence) 1994-2015ashleymondragonn1Nov 29, 2016797B56
Prevalence of Violence against Healthcare Workersmichellekeasler2014Feb 7, 201610KB40
Gun violence in the United States by state from WikipediadrdatbtcApr 18, 20153KB29
Gun Violence 2013 ndenaeyerApr 28, 20162KB22


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