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Concepts, Operationalization, and Measurement
Chapter 4 © 2016 Cengage Learning. All Rights Reserved
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Introduction We want to move from vague ideas of what we want to study to actually being able to recognize and measure it in the real world Otherwise, we will be unable to communicate the relevance of our idea and findings to an audience © 2016 Cengage Learning. All Rights Reserved
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Conceptions and Concepts
Conception: mental image we have about something Concepts: words, phrases, or symbols in language that are used to represent these mental images in communication e.g., serious crime © 2016 Cengage Learning. All Rights Reserved
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Example of Concept According to Gottfredson and Hirschi's General Theory of Crime, low levels of self-control is the primary cause of crime. Because self-control is a concept, how to conceptualize and measure it has been debated extensively among academics. Furthermore, the measuring of symptoms of levels of self-control and the inability to measure self-control directly has led some academics to argue that the General Theory of Crime is a tautology and is, therefore, not testable. © 2016 Cengage Learning. All Rights Reserved
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Conceptualization Conceptualization: mental process of making concepts more precise to specify what we mean Results in a set of indicators and dimensions of what we have in mind Indicates a presence or absence of the concept we are studying Serious crime = offender uses force (or threatens to use force) against a victim © 2016 Cengage Learning. All Rights Reserved
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Indicators and Dimensions
Dimension – specifiable aspect of a concept “Crime Seriousness” – can be subdivided into dimensions e.g., dimension – victim harm Indicators – physical injury, economic loss, psychological consequences Specification leads to deeper understanding © 2016 Cengage Learning. All Rights Reserved
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Creating Conceptualization Order
Conceptual definition: working definition specifically assigned to a term, provides focus to our observations Gives us a specific working definition so that readers will understand the concept E.g., Which dimensions of SES will be included? Operational definition: spells out precisely how the concept will be measured E.g., How will we measure SES? © 2016 Cengage Learning. All Rights Reserved
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Progression of Measurement Steps
Conceptualization Conceptual Definition Operational Definition Measurements in the Real World © 2016 Cengage Learning. All Rights Reserved
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Operationalization Choices
Operationalization – the process of developing operational definitions Moves us closer to measurement Requires us to determine what might work as a data-collection method © 2016 Cengage Learning. All Rights Reserved
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Measurement as “Scoring”
Measurement – assigning numbers or labels to units of analysis in order to represent the conceptual properties Make observations, and assign scores to them Different measurement can produce different results E.g., Time frame in which recidivism is measured might produce different results © 2016 Cengage Learning. All Rights Reserved
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Exhaustive and Exclusive Measurement
Every variable should have two important qualities: Exhaustive – you should be able to classify every observation in terms of one of the attributes composing the variable Mutually exclusive – you must be able to classify every observation in terms of one and only one attribute © 2016 Cengage Learning. All Rights Reserved
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Example – Measure for Marijuana Use
Not exclusive or exhaustive How many times in the last year have you smoked marijuana? 1-3 3-6 6-9 Reworded to be exclusive or exhaustive How many times in the last year have you smoked marijuana? 1-2 3-6 7-9 10 or more times © 2016 Cengage Learning. All Rights Reserved
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Levels of Measurement Nominal: offer names or labels for characteristics (e.g., race, gender, state of residence) Ordinal: attributes can be logically rank- ordered (e.g., education, opinions, occupational status) Interval: meaningful distance between attributes (e.g., temperature, IQ score from an intelligence test) Ratio: has a true zero point (e.g., age, number of priors, sentence length, income) © 2016 Cengage Learning. All Rights Reserved
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Implications of Levels of Measurement
Different analytical analysis require certain levels of measurement Higher levels can be converted to lower levels Lower levels cannot be converted to higher levels Therefore, seek the highest level of measurement possible © 2016 Cengage Learning. All Rights Reserved
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Criteria for Measurement Quality
Measurements can be made with varying degrees of precision The more precise, the better Should not sacrifice accuracy © 2016 Cengage Learning. All Rights Reserved
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Reliability Reliability: whether a particular measurement technique, repeatedly applied to the same object, would yield the same result each time Problem – even if the same result is retrieved, it may be incorrect every time Reliability does not insure accuracy Observer’s subjectivity might come into play © 2016 Cengage Learning. All Rights Reserved
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Methods of Dealing with Reliability Issues
Test-retest method – make the same measurement more than once – should expect same response both times Interrater reliability – compare measurements from different raters; verify initial measurements © 2016 Cengage Learning. All Rights Reserved
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Validity The extent to which an empirical measure adequately reflects the meaning of the concept under consideration Are you really measuring what you say you are measuring? Demonstrating validity is more difficult than demonstrating reliability © 2016 Cengage Learning. All Rights Reserved
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Methods of Dealing with Validity Issues
Face validity: on its face, does it seem valid? Does it jibe with our common agreements and mental images? Criterion-related validity: compares a measure to some external criterion Construct validity: whether your variables related to each other in the logically expected direction Multiple measures: compare measure with alternative measures of the same concept © 2016 Cengage Learning. All Rights Reserved
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Measuring Crime Crime can be a dependent variable in exploratory, descriptive, explanatory, and applied studies Crime can also be an independent variable, as in a study of how crime affects fear and other attitudes It can be both: the relationship between drug use and other offenses © 2016 Cengage Learning. All Rights Reserved
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General Issues in Measuring Crime
How are do you conceptualize crime? What units of analysis? Specific entities about which researchers collect information Offender, victim, offenses, incidents What purpose? e.g., monitoring, agency accountability, research © 2016 Cengage Learning. All Rights Reserved
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Measures Based on Crimes Known to Police
Most widely used measures of crime are based on police records Certain types are detected almost exclusively by observation (traffic and victimless offenses) Most crimes reported by victim or witnesses What crimes are not measured well by police records? © 2016 Cengage Learning. All Rights Reserved
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Uniform Crime Reports (UCR)
Originally, reporting voluntary, but now very common Type I offenses (index crimes/offenses): murder, rape, robbery, larceny, burglary, aggravated assault, motor vehicle theft and arson (added in 1979) Type II offenses: a compilation of less serious crimes Summary-based, group level unit of analysis © 2016 Cengage Learning. All Rights Reserved
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Assumptions of UCR Citizens know an offense has occurred
Citizen reports offense to the police Officer can verify that the offense occurred Officer decides the offense deserves to be reported Agency’s numbers end up being forwarded to FBI on time © 2016 Cengage Learning. All Rights Reserved
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Positives of UCR Can compare agencies Quick, easy, and efficient
Index offenses are valid indicators of public’s crime concerns © 2016 Cengage Learning. All Rights Reserved
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Negatives of UCR Doesn’t count ALL crimes reported to police
Jurisdictions vary in completeness of crime data they provide to FBI; voluntary Can suffer from clerical, data processing, political problems Hierarchy rule – only most serious crime counted in an incident Summary-based measure: UCR data include summary crime counts from reporting agencies © 2016 Cengage Learning. All Rights Reserved
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Incident-Based Police Records
Incident-based measures: the incidence of crime is the unit of analysis Supplementary Homicide Reports (SHR) Police agencies submit detailed info about individual homicide incidents Can conduct a variety of studies that examine individual events © 2016 Cengage Learning. All Rights Reserved
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National Incident-Based Reporting System (NIBRS)
Joint effort by FBI and BJS to convert UCR to a NIBRS NIBRS reports each crime incident rather than the total number of certain crimes for each LE agency Many features are reported individually about each incident, offenses, offenders, victims UCR – 7 Part I offenses, NIBRS – 46 Group A offenses © 2016 Cengage Learning. All Rights Reserved
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Other Revisions with NIBRS
Hierarchy rule dropped Victim type (individual, business, government, society/public) Attempted/completed. Computer-based submission Drug-related offenses Computers and crime Quality control; states require certification © 2016 Cengage Learning. All Rights Reserved
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National Crime Victimization Survey (NCVS)
Victimization survey: asks people whether they have been the victim of a crime Since 1972 by Census Bureau Sought to illuminate the “dark figure of crime” Longitudinal panel study: households agree to participate for 3 years (7 interviews; one every 6 months) and then replaced Does not measure all crime Respondents are asked screening questions © 2016 Cengage Learning. All Rights Reserved
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Positives of NCVS Measures both reported and unreported crime
Independent of changes in reporting More information about how crime impacted victim than UCR Provides more victim characteristics than UCR © 2016 Cengage Learning. All Rights Reserved
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Negatives of NCVS Telescoping incident dates Faulty memory
Little information on offenders No information on CJS response if reported Excludes crimes against commercial establishments Only includes residents of US © 2016 Cengage Learning. All Rights Reserved
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Surveys of Offending Self-report surveys: ask people about crimes they may have committed Useful in measuring crimes that are poorly measured by other techniques (prostitution, drug abuse, public order, delinquency) Useful in measuring crimes rarely reported to police (shoplifting, drunk driving) Two ongoing self-report studies – NSDUH & MTF © 2016 Cengage Learning. All Rights Reserved
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National Survey on Drug Use and Health (NSDUH)
Based on a national sample of households Conducted since 1971; 2004 sample had n=68,000 Includes questions to distinguish between lifetime use, current use, and heavy use Encourages candid responses via procedures Includes residents of college dorms, rooming houses, and homeless shelters © 2016 Cengage Learning. All Rights Reserved
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Monitoring the Future (MTF)
Conducted since 1975 by the National Institute on Drug Abuse Includes several samples of high school students and others, totaling about 50,000 respondents each year Questions concern self-reported use of alcohol, tobacco, illegal drugs, delinquency, other acts A subset of 2,400 MTF respondents receive follow-up questionnaire © 2016 Cengage Learning. All Rights Reserved
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Composite Measures Allows us to combine individual measures to produce more valid and reliable indicators Typology: produced by the intersection of two or more variables to create a set of categories or types e.g., Typology of Delinquent/Criminal Acts (Time 1 and 2) None, Minor (theft of items worth less than $5, vandalism, fare evasion), Moderate (theft over $5, gang fighting, carrying weapons), Serious (car theft, breaking and entering, forced sex, selling drugs Nondelinquent, Starter, Desistor, Stable, Deescalator, Escalator © 2016 Cengage Learning. All Rights Reserved
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Index of Disorder What is disorder? (Skogan, 1990)
Distinguish b/w physical presence & social perception Physical disorder: abandoned buildings, garbage and litter, graffiti, junk in vacant lots Social disorder: groups of loiterers, drug use and sales, vandalism, gang activity, public drinking, street harassment Index created by averaging scores for each measure © 2016 Cengage Learning. All Rights Reserved
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