Professor Rigney Collective Behavior
Professor Rigney Collective Behavior SOCY 332
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This 4 page Class Notes was uploaded by Hannah Lagasse on Saturday September 17, 2016. The Class Notes belongs to SOCY 332 at College of Charleston taught by Dr. Rigney in Fall 2016. Since its upload, it has received 3 views. For similar materials see Collective Behavior in Sociology at College of Charleston.
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Date Created: 09/17/16
Collective Behavior 1 Professor Rigney In Class Notes September 13, 2016 McPhail’s Research A. Type of Research a. Didn’t do just one study b. Meta Analysis i. Reviewing the most prevalent research of riots in the 1960, it treats separate studies as part of one massive piece of research ii. Uses a statistical measure that the original studies did not use B. Data a. 10 separate pieces of research b. Riots 1965-67 i. Voting Rights Act 1. In LA 2. The Watts Riot 1965 ii. Omaha in 1966 iii. Milwaukee in 1967 iv. Detroit in 1967 1. They have never recovered v. Newark, NJ c. How he was able to use 10 separate pieces of research i. All 10 pieces were survey research 1. Same Methodology 2. A meta-analysis ii. They are all looking at the same dependent variable 1. Did you or did you not participate in the riot? iii. Every question you ask that does not pertain to the dependent variable is concerning independent variables 1. Are there any distinctions that separate the groups even further 2. Are there different factors that make you participate or not participate 3. 287 independent variables throughout the 10 pieces The Meta-Analysis allows you: You can look at more independent variables No one researcher could do this much research o Goes across the whole United States Six categories of independent variables for McPhil’s Research 1. Attitudes a. Towards politics, jobs, housing, race b. Usually not questions i. Statements and ask if you agree, disagree, neutral, strongly agree, strongly disagree Collective Behavior 2 Professor Rigney In Class Notes 2. Social Relations a. Marital status, number of kids, contact with white people 3. Social Class a. SES (Socio-economic status) b. How much education, salary, job title 4. Experience or opinions about discrimination a. Specifically concerned about police practices 5. Demographic a. How old are you, place of birth, where you were raised, gender, how long you’ve lived where you currently are i. Background information 6. Political Participation a. Did you vote in the last election, are you affiliated with a political party, are you involved more than just voting? Hypothesis DFA o Deprivation (people have been deprived of certain things) o Frustration of achieving a goal o Aggression (riot) o F and A have been around for awhile Results Statistical significance o Concerned with can chance explain this array of data? Male Female Participated 700 300 Did not participate 300 700 Total 1000 1000 (Made up numbers but the type of table that is used) Is there any relationship between if you participated and your gender? Yes there’s a distinction but is it relevant? What statistical information can do? Shift the to look like this Male Female Participated 500 500 Did not participate 500 500 Total 1000 1000 This table is sheer luck The marginal frequencies (end numbers) are the same numbers as the chart above Collective Behavior 3 Professor Rigney In Class Notes Redistributing the inside of the table gives it a 50/50 chance Compare the table we actually got with the redistributed table cell by cell to see the differences The greater the difference between the 2 tables, it is more likely that the original table has significance Concerned with the role of luck Strength of Association: Male Female Participated 1000 0 Did not participate 0 1000 Total 1000 1000 .00-.29 weak association .30-.59 moderate association .60-1.00strong association Compared to the original will show the strength between each variable The strength of association chart shows a perfectly strong relationship between the variables o The more this chart looks like the original, the stronger the association Tells us the strength of connection when compared cell by cell Something can have statically significance but can have a weak association Not a huge association between the dependent and independent variables McPhail believes you should not really report anything as significant unless there is a strong association Minor differences between the cells are amplified as statistically significant because of the math factor That is why strength of association is necessary For all 10 studies McPhail looked at: For the 287 independent variables o 68% were statically significant o 93% had a weak relationship o 7% either had a moderate or strong relationship D-F-A Hypothesis Collective Behavior 4 Professor Rigney In Class Notes 173 tests were directly related to looking at this hypothesis 92% of the 173 showed no support of the DFA 8% yielded a moderate or strong relationship Only 3 important factors found from the study: Gender (Males were more likely) Age (Younger rather than older) Education It does not matter if there is a statistical significance, it is more important that they have a strong association You cannot have a strong association without statically significant information o But you can have the opposite Death Attributed to: ’65-’67 Riots Miami ‘80/LA ’92 Riots Officials 86% 28% Civilians 14% 72% Accident 11% 11% Significant and strong relationship
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