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news

news.

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news

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  1. news Law Club will hold its first meeting on Tuesday, August 31 at 4 p.m. in Schroeder Hall 244. The meeting is open to any student who is interested in law. There will be free refreshments at the meeting. For further info, please contact Prof. Bradley by calling him at 438-8944 or by e-mail at rbradley@ilstu.edu.

  2. Data Profile Assignment • Students choose topic, may be related to other coursework. • Must define a research problem and include a literature review • Minimum 10-12 tables and charts; minimum 12 pages of text. • Must include an assessment of data reliability and validity. Suggested Outline for the data component of the assignment………

  3. Data Profile: suggested outline International Data (table or bar chart): General U.S. trends. Elaboration (depends on the topic) Public opinion data Cross sectional bivariate analysis

  4. Data Profile: suggested outline I. International Data (table or bar chart):Purpose: * Define the scope of the problem * Indicate that the U.S. has very high or very low rates or levels. examples: Gun Deaths, Education Test Scores,Health Care Costs, Taxes and Size of Government, Incarceration Rates (poor, better: page 3), Teen birth rate, Child Poverty, Homicide Rates, DATA SOURCES

  5. Data Profile: suggested outline II. General U.S. trends. Purpose: Is the problem becoming more or less serious? Examples: Incarceration Rate, Wealth and Inequality, Immigration, Money and Politics, Corporate Taxes, Poverty. • alternative measures of key concepts: • Voter turnout; Crime Rates

  6. Data Profile: suggested outline III. Elaboration (depends on the topic) • Trends in related variables. • More detailed demographic breakdowns. • Consideration of causal relationships. education bureaucracy, • Decomposing observed relationships.

  7. Data Profile: suggested outline IV. Public opinion data: Trends in public opinion regarding the topic, best if using time series survey data Trust in Government V. Cross sectional bivariate analysis(tables, scatterplots and boxplots) example: TV viewing, attitudes and math scores

  8. Data Profile: suggested outline 4. Public opinion data: Trends in public opinion regarding the topic, best if using time series survey data 5. Cross sectional bivariate analysis(tables, scatterplots and boxplots) example: TV viewing, attitudes and math scores

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