Measurement Spring 2003

Topics in Measurement From abstraction to measure Sources of error What to do about error Practical ways to improve measurement

The Mapping X Y x y exex eyey Theory Observation

Mapping from the Abstract to the Measurement Some abstract things we try to measure –Alienation –Moral decay –Democracy –Party identification –Fear of defeat –Terrorism –Ideology

Sources of Error in Measurement (Mosteller) Conceptual or design error Bad breaks in random sampling Survey question wording Non-random out-selection Transcription errors Calculation & mechanization errors

What to Do About Error Practice safe data –Know where your data come from –Watch for anomalies –Use multiple measurement techniques –Collect as much data as possible and disaggregate

Practical things to do about measurement Distinction between a measure and an indicator –Measure: straightforward quantification of a variable of interest –Indicator: quantification of a variable that is believed (or known) to be highly correlated with the “real” variable of interest

Examples of Measures Income in $$ Age in years Votes Number of wars (hmmmmmm…..) Campaign contributions Measurement issues tend to focus on the quality of the data-gathering method, especially sampling

Examples of Indicators Public opinion –Party identification –Trust in government –Ideology Economics –Gross domestic (national) product Characterizations of political systems –Freedom –Transparency –Democracy

How do we generate indicators? Trust others and hope for the best –GDP, etc. –Presidential approval Use a single measure and hope for the best (or convince ourselves it’s OK) –7-point ideology scale –7-point party identification scale –Codings of “wars” or “rally events” –Bulletin of the Atomic Scientist “nuclear clock” Use multiple measures creatively

Multiple-measure indicators “Trust in government” battery –How much of the time do you think you can trust the government in Washington to do what is right? –Would you say the government is pretty much run by a few big interests looking out for themselves or that it is run for the benefit of all the people? –Do you think that people in the government waste a lot of money we pay in taxes, waste some of it, or don’t waste very much of it? –Do you think that quite a few of the people running the government crooked, not very many are, or do you think hardly any of them are crooked? External political efficacy battery –Sometimes politics and government seem so complicated that a person like me can’t really understand what’s going on –People like me don’t have any say about what the government does –Public officials don’t care much what people like me think.

Trust and Efficacy over Time

Other Multiple-Variable Indicators Americans for Democratic Action Support Scores Freedom House freedom assessment MIT Teaching Quality Transparency International’s “Corruption Perceptions Index” DNominate Scores

Scaling Or, How to Create Multiple Indicators More Generally

Imagine an unobserved factor that gives rise to observable factors Democracy Healthiness Racism Conservatism Religiosity Unobserved factor Measure 1 Measure 2 Measure n... b1b1 b2b2 bnbn e1e1 e2e2 e3e3 Polyarchy Fairness of elections Meaningfulness of elections Freedom of expression b1b1 b2b2 b4b4 e1e1 e2e2 e3e3 Unbiased reporting of official pronouncements e4e4 b3b3

Two-factor (pure) polyarchy example Polyarchy Fairness of elections Freedom of expression A BDCFEGHIJ

What We Observe in the Pure Case Fairness of elections Freedom of expression

Two-factor (impure) polyarchy example Polyarchy Fairness of elections Freedom of expression A BDCFEGHIJ

What We Observe in the Impure Case Polyarchy Fairness of elections

USSR, Libya, Iran, China Congo, Lebanon Hungary Bhutan Egypt, Sri Lanka, Mexico Jamaica, Greece Peru, India, Israel Argentina, U.S., Finland Source:

Simple way to create multiple- indicator scale with just 1 factor