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Measurement and Concept Formation
Meredith Rolfe
Centre for Corporate Reputation, Saïd Business School
Nuffield College, University of Oxford
In physical science the first essential step in the direction of learning any subject is to find
principles of numerical reckoning and practicable methods for measuring some
quality connected with it. I often say that when you can measure what you are speaking
about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in
numbers, your knowledge is of a meagre and unsatisfactory kind; it may be the beginning of
knowledge, but you have scarcely in your thoughts advanced to the state of Science,
whatever the matter may be.
Baron William Thomson Kelvin, Popular Lectures and Addresses 1:73 (originally: Lecture to the Institution of Civil Engineers, 3 May 1883)
Steps in a Measurement Process
1. Identify theoretical concepts
2. Choose one or more indicators/variables1. Brainstorm possible variables
2. Choose operational rule or definition
3. Level of measurement
4. Measurement technique
3. Assess Measurement Reliability & Validity
Theoretical concepts related to states:democracyregime typeeconomic growthstate capacity
Individualsincomeauthoritarianismpolitical interestsocial class
Step 1) Identify theoretical
constructs or concepts
There have been many authorities who have asserted that the basis of science
lies in counting or measuring, i.e. in the use of mathematics. Neither
counting nor measuring can however be the most fundamental processes in our study of the material universe—
before you can do either to any purpose you must first select what you
propose to count or measure, which presupposes a classification.
Roy Albert Crowson, Classification and Biology (1970)
Step 2) Variables: operational rules
to turn observations into data
Democracyfair electionsGNP/capita
State capacitysize of militaryexpenditures
Violence, war or military conflictDeaths (civilian or otherwise?)expenditures
Possible indicators of democracy
Procedural (free and contested elections)Multi-partyCampaign financingBalance of powersUniversal suffrageOne person, one voteCollective deliberationAccountability of elected officialsProperty rightsCitizens have a voice in governmenteconomic outcomes
Variables:Levels of measurement
Nominal Algeria, Russia (country)gender or ethnicity of respondentRevolution, civil war (0/1)
Ordinaldemocracy in 7 categorieswar
Intervalagree/disagree 5 point scale
Ratio (Continuous)income, length of war
Variables:Measurement techniques
Counting (words, elections, and so on)Sources: government statistics, newspapers, archivesIncludes: basic content analysisIncludes: Is there a senate? Are there two large parties?
Asking peopleSurvey questions
Fixed formatOpen-response
Interviews (elite or random sample)Implicit attitudes (psychology, often experimental)
Variables: Measurement Techniques
(cont.)Observing people
Discourse analysis
Content/semantic analysis
Participant observation
Coding of gestures/speech (psychology)
InterpretiveCompare measurement techniques/sources – why are they different?
Semiotic practices (observing people)
Step 3) Assess Measurement
Reliability & Validity
Reliable measures are…
consistent (repeated measurement gives similar results for the same case)
inter-coder reliability (qualitative data)
unbiased (right answer, on average)
precise/low error (close to the right answer)
Step 3) Assess Measurement
Reliability & Validity
Reliable measures are…
consistent (repeated measurement gives similar results for the same case)
inter-coder reliability (qualitative data)
unbiased (right answer, on average)
precise/low error (close to the right answer)
Step 3) Assess Measurement
Reliability & Validity
Reliable measures are…
consistent (repeated measurement gives similar results for the same case)
inter-coder reliability (qualitative data)
unbiased (right answer, on average)
precise/low error (close to the right answer)
Valid measures are…
Content or substance of measure captures construct
face validity – ask an expert
“what are you thinking about” probes
manipulation checks (experiments)
Criterion-related validityPredictive: Correct relationship with some predicted outcome variable
Decision validity: Useful or pragmatic applications
Valid Measures are… (cont.)
Construct validityConvergent validity: Related to other theoretically related variables/indicators (correlations, alpha scores, factor analysis)• Example: GNP/capita, tax revenue/capita
– Discriminate validity: empirically discriminates between related constructs (correlations, factor analysis)• Example: poverty, education
Though he may not always recognise his bondage, modern man lives under a tyranny of numbers.
Nicholas EberstadtThe Tyranny of Numbers; Mismeasurement and Misrule (1995)
Debates
• Can we measure everything?
• Should we measure observable behaviors or social meaning?
• Do concepts need to be better defined or better measured?
Debates: Can you measure
everything?
• Measurement people – yes, in theory (Kerlinger – but it is just a game, play it well)
• Sartori – no. Example: party system.
Debates: Observation versus
meaning• Example: voting in authoritarian regimes
versus democratic
• Example: survey responses in Africa versus United States
• Example: organization membership across social class
• Solution: contingent/contextual measures, more complete specification
Go, wondrous creature, mount where
science guides.
Go, measure earth, weigh air, and state
the tides;
Instruct the planets in what orbs to run,
Correct old Time, and regulate the sun;
Go, teach Eternal Wisdom how to rule,
Then drop into thyself and be a fool.
Alexander PopeQuoted in James Wood Dictionary of Quotations from Ancient and Modern, English and Foreign Sources (1893), 125.
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