evaluating data reliability validity –bias reliability consistency of measurement –changes in...

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Page 1: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 2: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Evaluating Data

• Reliability

• Validity– bias

Page 3: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Reliability

• Consistency of Measurement– Changes in Definition– Changes in Record keeping– Changes in public understanding

• Sampling Error– Other Sampling issues

Page 4: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Measurement Validity

• Does it measure what it is supposed to?

• Bias: under- or over- measure for particular groups

• EXAMPLE: SAT tests, poverty measures,

Page 5: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 6: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 7: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 8: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 9: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

1. After each state’s scores for each category werestandardized (by dividing the observed value for eachstate by the highest value for all states, to create ascore ranging from zero to one), they were weightedaccording to the relative degree of influence andimportance of the position.

State representatives weregiven a weight of 1.0; state senators, 1.25; statewideexecutive elected officials (except governors), 1.5;governors, 1.75. The resulting scores were added tocreate a total score for each state. Scores on thecomposite index were then used to rank the states forwomen’s representation in elected office. 

Page 10: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

POVERTY MEASURES

• FDR: "one-third of a nation ill-housed, ill-clad, ill-nourished"

• US Poverty Rate: absolute standard

• Ireland, Smeeding “relative poverty rate”

• Canada: Low-income limit, based on disposable income

• World Bank: Consumption levels below $1 or $2 per day.

Page 11: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Absolute Poverty Standard: World Bank

Page 12: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 13: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 14: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Number of Poor Families, by Family Type, 1973-2001(in millions)

2.8

0.6

3.5

0

1

2

3

4

5

1973 1977 1981 1985 1989 1993 1997 2001

single mother

-- single father

married couple

Page 15: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 16: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public
Page 17: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

What is Poverty?

• In 1963-1964, Molly Orshansky based poverty thresholds on the "thrifty food plan,“

• Thrifty food budget (family of 4) = $1,033• Families spent 1/3 of their budget on food.• 1963 Poverty level = $3,100• Subsequent years, adjusted for CPI

inflation index

Page 18: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Poverty thresholds

Page 19: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Problems with definition of Poverty

• Wealth and debt not counted• Unusual family expenditures not

counted.• Regional living costs• Families now spend only 1/6th

income on food• MEASURING INCOME……….

Page 20: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Measuring Income• money income before taxes, including

wages, salaries, interest, dividends, self-employment income, welfare payments (TANF), unemployment insurance, and social security payments.

• Poverty Report from March Current Population Survey, 50,000 households

Page 21: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Problems with the Definition of Family Income

• Income not counted: Food Stamps, Medicaid & Medicare, Public Housing

• Persons not counted: the institutionalized, Army barracks, unrelated individuals under 15

Page 22: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Problems defining “Family”

• Must be related

• Family defined in March,BUT Income, in previous year

• Unrelated children individual counted as neither poor nor non-poor.

Page 23: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Overcounting the poor?

• Inflation adjustment overestimates inflation.

• Food stamps not counted as income.

• Other in-kind benefits (which have increased overtime) not counted. (Housing, Medical).

• Earned Income Tax Credit

• Under reporting of income.

Page 24: Evaluating Data Reliability Validity –bias Reliability Consistency of Measurement –Changes in Definition –Changes in Record keeping –Changes in public

Undercounting the Poor?

• Food now takes 1/6 of typical budget.

• High regional living costs

• Unusual family living costs

• Increased FICA taxes

• Sample under-represents poor