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Compiling, evaluating, and presenting numerical evidence to support and illustrate arguments about politics and public affairs. Numerical evidence:

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Just Plain Data Analysis:

Compiling, evaluating, and presenting numerical evidence to support and illustrate arguments about politics and public affairs.

Numerical evidence: social, political and economic indicators

Arguments: “informal” arguments consisting of one or more premise and a conclusions.

Common Statistical Fallacies in the

Interpretation of Social Indicators in Data-

based Public Affairs Writing

A Statistical Fallacy:

A form of Inductive or Informal Argument Logical Fallacy: When premises do not provide enough support for

an argument’s conclusions. Premises consist of time series, cross sectional and

demographic numerical comparisons.

Note: Traditional hypothesis-testing research methods design defines a“deductive” argument structure, but only to establish a very limited conclusion.

The Ask a Stupic Question Fallacy:

A new national survey by the Pew Research Center finds that nearly one-in-five

Americans (18%) now say Obama is a Muslim,

CNN/Opinion Research Corporation survey, more than a quarter of the public have

doubts about Obama's citizenship

The Ask a Stupic Question Fallacy:

More than half (51%) believe it is very likely or somewhat likely that government officials

were "directly responsible for the assassination of President Kennedy.“

More than half (52%) believe it is likely that the CIA allowed drug dealers from Central America to sell crack cocaine to African-

Americans in US inner cities.

The Ask a Stupic Question Fallacy:

Nearly half (47%) believe it is very likely or somewhat likely that "The U.S. Air Force is

withholding proof of the existence of intelligent life from other planets.”

1992 1994 1996 1998 2000 2002 200410

12

14

16

13.7

12.7

*% of persons below the poverty level

Cherry Picking: How President Bush Lowered the Poverty Rate*

Clinton

fourth yearin office

G. W. Bush

1992 1994 1996 1998 2000 2002 200410

12

14

16

13.7

12.7

*% of persons below the poverty level

Cherry Picking: How President Bush Lowered the Poverty Rate*

Clinton

fourth yearin office

G. W. Bush

Two measures of voter turnout

1952 1956 1960 1964 1968 1972 1976 1980 1984 1988 1992 1996 2000 200440

50

60

70

55.3

58.3

69.367.8

63

59.2 59.3 59.9

57.4

RV/VAP

54.2 54.7

Reported vot-ing

Vote count

VC - votes cast RV - reported voting VAP - voting age population

Graphical distortion

Graphical distortion

200

205

210

215

220

200 200 200 200 200 200

4th Grade Reading Scores

'90

'92

'94

'96

'98

'00

'02

'04

0

2,000

4,000

6,000

8,000

10,000

7,4647,4727,4197,3907,4377,5047,5177,6097,8118,074

8,3358,6048,8539,0179,116

9,266

Per Pupil Spending, (2007 $)

0

10

20

30

0 0 0 0 0 0

17+70%

29Percentage of 13 year-olds scoring above 300 on NAEP Mathmatics Exam

% 8th Graders scoring 300+ NAEP Math

45% 50% 55% 60% 65% 70%0.1

0.4

1.6

6.4

25.6

2.94

1.48

2.98

0.59

4.88

0.731.08

1.3

9.78

5.26

0.56

1.861.34

0.390.32

1.77

4.93

0.64

8.18

1.281.1

0.4

3.92

1.010.73

0.21

1.36

0.13

1.521.77

3.61

2.31

0.27

2.23

0.64

0.33

1.4

3.044.33

0.48

4.06

1.32

0.58

0.1

0.38

0.63

2.33

0.41

0.77

Voter Turnout*: Presidential Elections, 1980-2004

Public offi-cials prose-cution rate(log scale)

Reserve Causation: Voter Turnout and State Political Corruption

Pass Rate

2005 2006School District 999 40 50 +10 25.0State of Illinois 75 80 +5 6.7

Pass Rate

Net change

% Change

Failure Rate

2005 2006School District 999 60 50 -10 -17State of Illinois 25 20 -5 -20

Failure Rate

Net change

% Change

Other Denominator Misinterpretations

CPI adjustments for inflation overestimate inflation by %1 per year. Effect:: Underestimates of income and price growth Overestimates of poverty rates

“Percentage of median family income,” minimizes price increases, most commonly: University tuition and fees as a percentage of

median family income.

Threats to External Validity:

Treatment or Setting does not correspond to future policy Hawthorne Effect Multiple experimental treatments Example: Third (rear window) brake light

experiment Example: Rats and cancer experiments

Rear window brake light experiment (1974):

343 San Francisco taxicabs with CHMSL(Center High Mounted Stop Lamps)

160 taxis with no additional light (random assignment)

Findings: CHMSL taxis:: 61% fewer rear end crashes, 61% fewer driver injuries, 62% lower repair costs

On all cars since 1986 Later Finding: from 1989-95 CHMSLs

reduced rear-end crashes by only 4.3%

Threats to Internal Validity

History – something else happened at the same time to produce the effect

Maturation: long term processes affecting the results

Testing: the first test affects the scores on the second

Instrumentation: unreliable measures of effect

All threats to internal validity are due to the lack of an equivalent or randomly assigned control group

Threats to Internal Validity

Instability: another form of unreliable measures

Regression artifact: Policy was conducted on a group, a place, or at a time chosen for its high or low scores on the test.Example: Murder rates are higher in states with the death penalty

All threats to internal validity are due to the lack of an equivalent or randomly assigned control group

Regression artifact: example

Students who do the best on the first exam usually do worse on the second

Students who do the worst on the first exam usually do better on the second

Examples

Rudi Giuliani and New York City’s Crime RateJPDA, pp 24-29

Election Day RegistrationJPDA, pp 91-95

Election Day Registration

1996 2000 2004 1996 2000 2004EDR states 59.3 62.6 67.0 60.9 64.6 69.7Non-EDR states 49.5 51.2 56.5 52.4 54.7 61.0

difference +9.8 +11.4 +10.4 +8.5 +9.9 +8.7* unweighted state averages

/ Voting Age Population / Voting Eligible Population

Table 4.2 Voter Turnout* in States with and without Election Day Registration, 1996 - 2004

Votes Cast for President

Election Day Registration

Issue: Why do 6 states with EDR average about 10% higher voter turnout

Possible Reasons Reverse causation: states where civic

participation is valued are more likely to enact EDR

History: Those states may have had very closely contested

elections Those states may have other policies that encourage

turnout

Election Day Registration

-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.045%

50%

55%

60%

65%

70%

ID

ME

MN

NH

WI

WY

Social Capital Index

Vo

ter

Tu

rno

ut

*

*Average votes cast / eligible population: 1996, 2000 and 2004ID, NH, ME, MN, WI and WY: EDR states

Figure 4.7: State Voter Turnout* and Social Capital