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Conceptual Draft of Chapter 1 Instructions
Title: Restorative Justice in prisons
Now that the above is completed, the student must reread the
chapter thoroughly and make corrections. Only 11 references
have been required so far, but at least 9 more must be added at
this point. Chapter 1 should be 8-10 pages, with at least twenty
(20) peer-reviewed references dated within 5 years. You also
should include the following additional sections:
· Operational Definitions: A section where important terms for
your paper are defined.
· Scope and limitations: This area gives what you will be
measuring and what your paper encompasses. The limitations
are areas you cannot measure or what you cannot evaluate
because of impossibility or other reasons noted in the text.
· Summary: This section is a one (1) paragraph summary of
everything in chapter 1, with a transition statement to chapter 2.
Chapter 1 should be at least 8-10 double-spaced pages of
content, with at least 20 peer-reviewed references.
Due: by September 15, 2021, by 10 a.m (Eastern Time) on
Wednesday. NO LATE WORK!
References
King James Bible. (1970). The Holy Bible. Camden, New
Jersey. Thomas Nelson, Inc.
Maxfield, M. G., & Babbie, E. R. (2018). Research methods for
criminal justice and criminology (8th ed.). Boston, MA:
Cengage Learning.
Chapter 6:
Measuring
Crime
1
©2018 Cengage Learning. All Rights Reserved.
Learning Objectives
• Recognize how different approaches to measuring crime
illustrate general principles of conceptualization,
operationalization, and measurement
• Understand what crimes are included in different measures
• Describe different measures of crime and how they are
based on different units of analysis
• Understand different purposes for collecting crime data
• Explain different measures based on crimes known to
police
• Describe the main features of victim surveys
2
©2018 Cengage Learning. All Rights Reserved.
Learning Objectives, cont.
• Distinguish the main differences between crimes known to
police
and crimes measured through different types of surveys
• Understand why self-report measures are used, and list
different
types of crimes for which they are appropriate
• Summarize major series of self-reported measures of drug use
• Understand how surveillance measures are obtained and used
• Explain how different measures of crime satisfy criteria for
measurement quality
• Recognize that we have different measures of crime because
each measure is imperfect
3
© 2018 Cengage Learning. All Rights Reserved.
Introduction
• 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: drug use <- -> other
offenses
4
©2018 Cengage Learning. All Rights Reserved.
General Issues in Measuring Crime
• What offenses?
• What units of analysis?
– Specific entities about which researchers collect
information
– Offender, victim, offenses, incidents
• What purpose?
– Monitoring
– Agency Accountability
– Research
5
©2018 Cengage Learning. All Rights Reserved.
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?
– Assaults
– Robberies
6
©2018 Cengage Learning. All Rights Reserved.
Uniform Crime Reports (UCR)
• Circa 1929, under FBI since 1930s
• 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
7
©2018 Cengage Learning. All Rights Reserved.
The UCR and Measurement Quality
• The UCR is neither an exclusive nor an exhaustive
measure
• Not all law enforcement agencies submit complete
reports to the FBI, and the quality of the data submitted
varies
• Summary-Based Measure of Crime
– UCR data includes summary, or total, crime counts for
reporting agencies
(cities/counties)
• UCR data are aggregates—cannot be used in
descriptive or explanatory studies that focus on
individual crimes, offenders, or victims
8
©2018 Cengage Learning. All Rights Reserved.
Discussion Question 1
Why are aggregate and individual data
both necessary?
9
©2018 Cengage Learning. All Rights Reserved.
Incident-Based Police Records
• Based on incidents as units 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
10
©2018 Cengage Learning. All Rights Reserved.
National Incident-Based Reporting System
• Joint effort by FBI and BJS to convert UCR to
a NIBRS
• NIBRS reports each crime incident rather than
the total # of certain crimes for each law
enforcement agency
• Many features are reported individually about
each incident: offenses, offenders, victims
11
©2018 Cengage Learning. All Rights Reserved.
Discussion Question 2
What if you were in charge of a law
enforcement agency? Why would you want
to report to the UCR? Why might you not
want to report?
12
©2018 Cengage Learning. All Rights Reserved.
Other Revisions with NIBRS
• Hierarchy rule dropped
• Victim type (individual, business,
government, society/public)
• Attempted/Completed
• Drug-related offenses
• Computers and crime
• Quality control; states require certification
13
©2018 Cengage Learning. All Rights Reserved.
NIBRS and Measurement Quality
• Eliminating the hierarchy rule means offense
classifications are mutually exclusive
– But not exhaustive, not all crimes are counted
• Creating auditing standards and requiring
submission of data on computer readable media
enhance reliability
• Crimes are selectively reported to police and
selectively recorded by police
– Voluntary: no agency is required to submit crime reports to
the FBI
in any form
14
©2018 Cengage Learning. All Rights Reserved.
Measuring Crime Through Victim Surveys
• Can obtain info on crimes not reported to
police
• Can measure incidents police may not
officially record as crimes
• Provides data on victims/offenders
(individuals), and the incidents
themselves (social artifacts)
15
©2018 Cengage Learning. All Rights Reserved.
National Crime Victimization Survey
• Since 1972 by Census Bureau
• Sought to illuminate the “dark figure of
unreported crime”
• Longitudinal panel study: households agree
to participated for 3 years (7 interviews; one
every 6 months) and then replaced
• Does not measure all crime
• Respondents are asked screening questions
16
©2018 Cengage Learning. All Rights Reserved.
Discussion Question 3
Would you participate in a victimization
survey? Why or why not?
17
©2018 Cengage Learning. All Rights Reserved.
Positive Elements 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
18
©2018 Cengage Learning. All Rights Reserved.
Negative Elements 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
19
©2018 Cengage Learning. All Rights Reserved.
NCVS Redesign
• Sought to improve measurement of domestic
violence and sexual assault
• Revised screening questions and added cues to help
respondents recall and distinguish minor incidents
• More direct questions on rape and other sexual
crimes
• Greater attention to measuring victimizations by
someone the respondent knows
• Gradual increase of telephone interviews to replace
in-person interviews
20
©2018 Cengage Learning. All Rights Reserved.
Community Victimization Surveys
• First Development in late 1960’s
– A series of city-level surveys by the Census Bureau
• 1998 BJS and the Office of Community
Oriented Policing Services (COPS)
launched pilot surveys in 12 large and
medium-sized cities
– Jointly developed a guidebook and software so that
local law enforcement agencies and other groups
can conduct their own community surveys
21
©2018 Cengage Learning. All Rights Reserved.
Comparison
• Crimes Known to Police:
– UCR
– SHR
– NIBRS
• Victim Surveys
– NCVS
– Community Victimization Surveys
22
©2018 Cengage Learning. All Rights Reserved.
Surveys of Offending
• Delinquency, "victimless" crimes, and
crimes rarely observed or reported to
police may be measured by self-report
surveys
– Examples: prostitution, drug abuse, public order,
shoplifting, drunk driving
• Two ongoing self-report studies
– National Survey on Drug Use and Health (NSDUH)
– Monitor the Future (MTF)
23
©2018 Cengage Learning. All Rights Reserved.
National Survey on Drug Use and Health
• Based on a national sample of households
• Conducted since 1971; 2004 sample had
68,000 individuals
• 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
24
©2018 Cengage Learning. All Rights Reserved.
Monitoring the Future
• 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
25
©2018 Cengage Learning. All Rights Reserved.
Drug Surveillance Systems
• Surveillance systems have been developed
to obtain alternative measures of drug use
• Arrestee Drug Abuse Monitoring (ADAM) –
provides ongoing assessment of drug use
among arrestees
• Drug Abuse Warning Network (DAWN) –
collects emergency medical treatment
reports for “drug episodes” from a sample of
hospitals
26
©2018 Cengage Learning. All Rights Reserved.
Measuring Crime for Specific Purposes
• Local Crime and Self-Report Surveys
– e.g., any purpose!
• Incident-Based Crime Reports
– e.g., Newark PD vehicle theft
• Observing Crime
– e.g., shoplifting, bar drinking, and violence
27
©2018 Cengage Learning. All Rights Reserved.
Measuring Crime Summary
• UCR & SHR: best for murder and crimes
in which the victim is a business or
commercial establishment
• NCVS: best for crimes against persons or
households that are not reported to police
• Self-report surveys: best at measuring
crimes that do not have readily identifiable
victims and that are less often observed by
or reported to police
28
Chapter 5:
Concepts,
Operationalization
and
Measurement
1
© 2018 Cengage Learning. All Rights Reserved.
Learning Objectives
• Understand the role of concepts as summary devices for
bringing together observations and experiences that
have something in common
• Explain how concepts are mental images that do not
exist in the real world
• Describe how operationalization specifies concrete
empirical procedures for measuring variables
• Recognize that operationalization begins with study
design but continues through the duration of research
• Explain why measurement categories must be mutually
exclusive and exhaustive
2
© 2018 Cengage Learning. All Rights Reserved.
Learning Objectives, cont.
• Distinguish different levels of measurement and the
properties of different levels
• Understand precision, reliability, and validity as
dimensions of measurement quality
• Summarize how creating specific, reliable measures
may not reflect the complexity of the concepts we
seek to study
• Understand how multiple measures of a concept can
improve reliability and validity
• Describe composite measures and explain their
advantages
3
© 2018 Cengage Learning. All Rights Reserved.
Introduction
• Because measurement is difficult and
imprecise, researchers try to describe the
measurement process explicitly
• 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
4
© 2018 Cengage Learning. All Rights Reserved.
Conceptions and Concepts
• Clarifying abstract mental images is an
essential first step in measurement
• “Crime”
• 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., gender, punishment, chivalry, delinquency, poverty,
intelligence, racism, sexism, assault, deviance, income
5
© 2018 Cengage Learning. All Rights Reserved.
Three Classes
• Direct observables: Those things or qualities we
can observe directly (color, shape)
• Indirect observables: Require relatively more
subtle, complex, or indirect observations for things
that cannot be observed directly (reports, court
transcripts, criminal history records)
• Constructs: Theoretical creations; cannot be
observed directly or indirectly; similar to Concepts
6
© 2018 Cengage Learning. All Rights Reserved.
Conceptualization
• Specifying precisely what we mean when we
use particular terms
• Results in a set of indicators of what we have
in mind
• Indicates a presence or absence of the concept
we are studying
• Violent crime = offender uses force (or
threatens to use force) against a victim
7
© 2018 Cengage Learning. All Rights Reserved.
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
8
© 2018 Cengage Learning. All Rights Reserved.
Discussion Question 1
Why does the phrase “crime seriousness”
require further conceptualization?
9
© 2018 Cengage Learning. All Rights Reserved.
Confusion Over Definitions and Reality
• Concepts are abstract and only mental
creations
• The terms we use to describe them do not
have real and concrete meanings
– What is poverty? delinquency? strain?
• Reification: Process of regarding as real
things that are not
10
© 2018 Cengage Learning. All Rights Reserved.
Creating Conceptual Order
• Conceptual definition (what is SES?)
– 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
• Operational definition (how will we measure
SES?)
– Spells out precisely how the concept will be measured
11
© 2018 Cengage Learning. All Rights Reserved.
Discussion Question 2
What are some social science concepts
that you believe might be hard to
operationalize?
12
© 2018 Cengage Learning. All Rights Reserved.
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
13
© 2018 Cengage Learning. All Rights Reserved.
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
• Difficult in CJ research because basic
concepts are not perfectly definable
14
© 2018 Cengage Learning. All Rights Reserved.
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
• Example: Employment status
15
© 2018 Cengage Learning. All Rights Reserved.
Discussion Question 3
Can you identify a variable used in crime
studies that is both exhaustive and
mutually exclusive?
16
© 2018 Cengage Learning. All Rights Reserved.
Levels of Measurement
• Nominal: Offer names or labels for characteristics
(race, gender, state of residence)
• Ordinal: Attributes can be logically rank-ordered
(education, opinions, occupational status)
• Interval: Meaningful distance between attributes
(temperature, IQ)
• Ratio: Has a true zero point (age, # of priors,
sentence length, income)
17
© 2018 Cengage Learning. All Rights Reserved.
Implications of Levels of Measurement
• Certain analytic techniques have Levels
of Measurement requirements
• Ratio level can also be treated as
Nominal, Ordinal, or Interval
• You cannot convert a lower Level of
Measurement to a higher one
• Therefore, seek the highest Level of
Measurement possible
18
© 2018 Cengage Learning. All Rights Reserved.
Criteria for Measurement Quality
• The key standards for measurement quality
are reliability and validity
• Measurements can be made with varying
degrees of precision
• Common sense dictates that the more
precise, the better
• However, you do not necessarily need
complete precision
19
© 2018 Cengage Learning. All Rights Reserved.
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
20
© 2018 Cengage Learning. All Rights Reserved.
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
• Split-half method: Make more than one
measure of any concept; see if each
measures the concept differently
21
© 2018 Cengage Learning. All Rights Reserved.
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
22
© 2018 Cengage Learning. All Rights Reserved.
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 variable relates
to another in the logically expected direction
• Content validity: Does the measure cover the
range of meanings included in the concept?
• Multiple Measures: Alternative measures
23
© 2018 Cengage Learning. All Rights Reserved.
Composite Measures
• Allows us to combine individual measures to
produce more valid and reliable indicators
• Reasons for using Composite Measures:
– The researcher is often unable to develop single
indicators of complex concepts
– We may wish to use a rather refined ordinal measure of a
variable, arranging cases in several ordinal categories
from very low to very high on a variable such as degree
of parental supervision
– Indexes and scales are efficient devices for data analysis
24
© 2018 Cengage Learning. All Rights Reserved.
Typologies
• “Taxonomy”
• 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
25
© 2018 Cengage Learning. All Rights Reserved.
Index of Disorder
• What is disorder? (Skogan, 1990)
• Distinguish between physical presence and
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
26
© 2018 Cengage Learning. All Rights Reserved.
Benefits of Indexes
• A composite index is a more valid measure
than a single question
• Computing and averaging across all items
in a category create more variation than
we could obtain in any single item
• Two indexes are more parsimonious than
nine individual variables
• Data analysis and interpretation can be
more efficient
27
Criteria Ratings Points
Instructions 20 to >17.0 pts
Advanced
Student followed all
instructions in the course
instructions and met all
requirements. 8-10
double-spaced pages of
content, with at least 20
peer-reviewed references.
Paper is cumulative from
each section.
17 to >13.0 pts
Proficient
Student followed most
instructions in the course
instructions and met most
requirements. Page length
is between 6-8 pages.
Paper is NOT cumulative
from each section.
13 to >0.0 pts
Developing
Student followed some
instructions in the course
instructions and met some
requirements. Less than 6
pages. Paper is NOT
cumulative from each
section.
0 pts
Not
Present
20 pts
Article
Quality
13 to >11.0 pts
Advanced
All articles are
peer-reviewed, dated
within five (5) years of the
due date of assignment.
11 to >8.0 pts
Proficient
Most articles are
peer-reviewed, dated
within five (5) years of the
due date of assignment.
8 to >0.0 pts
Developing
Some or none of the
articles are peer-reviewed,
dated within five (5) years
of the due date of
assignment.
0 pts
Not
Present
13 pts
Dissertation
Quality
20 to >17.0 pts
Advanced
Student fully incorporated
ideas and concept from
the weekly readings of the
course.
17 to >13.0 pts
Proficient
Student partially
incorporated ideas and
concept from the weekly
readings of the course.
13 to >0.0 pts
Developing
Student occasionally
incorporated ideas and
concept from the weekly
readings of the course.
0 pts
Not
Present
20 pts
Grammar
and
Spelling
12 to >10.0 pts
Advanced
Correct spelling and
grammar used throughout
dissertation. Dissertation
contains no errors in
grammar or spelling that
distract the reader from the
content.
10 to >7.0 pts
Proficient
Dissertation contains
some errors in grammar or
spelling that distract the
reader from the content.
7 to >0.0 pts
Developing
Dissertation contains
several errors in grammar
or spelling that distract the
reader from the content.
0 pts
Not
Present
12 pts
Research Paper: Conceptual Draft Chapter 1 Grading Rubric |
CJUS740_B03_202140
Criteria Ratings Points
APA Format
Compliance
10 to >8.0 pts
Advanced
Minimal errors (1-2) noted
in the interpretation or
execution of proper APA
format. APA formatting
elements such as: Title
page, abstract, running
head,
headings/subheadings,
font type and size, line
spacing, and margins.
**APA compliance includes
the proper application of
in-text citations and a
reference list.
8 to >6.0 pts
Proficient
Few errors (3-4) noted in
the interpretation or
execution of proper APA
format. APA formatting
elements such as: Title
page, abstract, running
head,
headings/subheadings,
font type and size, line
spacing, and margins.
**APA compliance
includes the proper
application of in-text
citations and a reference
list.
6 to >0.0 pts
Developing
Numerous errors (5+)
noted in the interpretation
or execution of proper APA
format. APA formatting
elements such as: Title
page, abstract, running
head,
headings/subheadings,
font type and size, line
spacing, and margins.
**APA compliance includes
the proper application of
in-text citations and a
reference list.
0 pts
Not
Present
10 pts
Total Points: 75
Research Paper: Conceptual Draft Chapter 1 Grading Rubric |
CJUS740_B03_202140
Conceptual Draft of Chapter 1 InstructionsTitle Restorative J

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Conceptual Draft of Chapter 1 InstructionsTitle Restorative J

  • 1. Conceptual Draft of Chapter 1 Instructions Title: Restorative Justice in prisons Now that the above is completed, the student must reread the chapter thoroughly and make corrections. Only 11 references have been required so far, but at least 9 more must be added at this point. Chapter 1 should be 8-10 pages, with at least twenty (20) peer-reviewed references dated within 5 years. You also should include the following additional sections: · Operational Definitions: A section where important terms for your paper are defined. · Scope and limitations: This area gives what you will be measuring and what your paper encompasses. The limitations are areas you cannot measure or what you cannot evaluate because of impossibility or other reasons noted in the text. · Summary: This section is a one (1) paragraph summary of everything in chapter 1, with a transition statement to chapter 2. Chapter 1 should be at least 8-10 double-spaced pages of content, with at least 20 peer-reviewed references. Due: by September 15, 2021, by 10 a.m (Eastern Time) on Wednesday. NO LATE WORK! References King James Bible. (1970). The Holy Bible. Camden, New Jersey. Thomas Nelson, Inc. Maxfield, M. G., & Babbie, E. R. (2018). Research methods for criminal justice and criminology (8th ed.). Boston, MA: Cengage Learning.
  • 2. Chapter 6: Measuring Crime 1 ©2018 Cengage Learning. All Rights Reserved. Learning Objectives • Recognize how different approaches to measuring crime illustrate general principles of conceptualization, operationalization, and measurement • Understand what crimes are included in different measures • Describe different measures of crime and how they are based on different units of analysis • Understand different purposes for collecting crime data • Explain different measures based on crimes known to police • Describe the main features of victim surveys 2 ©2018 Cengage Learning. All Rights Reserved. Learning Objectives, cont.
  • 3. • Distinguish the main differences between crimes known to police and crimes measured through different types of surveys • Understand why self-report measures are used, and list different types of crimes for which they are appropriate • Summarize major series of self-reported measures of drug use • Understand how surveillance measures are obtained and used • Explain how different measures of crime satisfy criteria for measurement quality • Recognize that we have different measures of crime because each measure is imperfect 3 © 2018 Cengage Learning. All Rights Reserved. Introduction • 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: drug use <- -> other offenses
  • 4. 4 ©2018 Cengage Learning. All Rights Reserved. General Issues in Measuring Crime • What offenses? • What units of analysis? – Specific entities about which researchers collect information – Offender, victim, offenses, incidents • What purpose? – Monitoring – Agency Accountability – Research 5 ©2018 Cengage Learning. All Rights Reserved. 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)
  • 5. • Most crimes reported by victim or witnesses • What crimes are not measured well by police records? – Assaults – Robberies 6 ©2018 Cengage Learning. All Rights Reserved. Uniform Crime Reports (UCR) • Circa 1929, under FBI since 1930s • 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 7 ©2018 Cengage Learning. All Rights Reserved. The UCR and Measurement Quality • The UCR is neither an exclusive nor an exhaustive
  • 6. measure • Not all law enforcement agencies submit complete reports to the FBI, and the quality of the data submitted varies • Summary-Based Measure of Crime – UCR data includes summary, or total, crime counts for reporting agencies (cities/counties) • UCR data are aggregates—cannot be used in descriptive or explanatory studies that focus on individual crimes, offenders, or victims 8 ©2018 Cengage Learning. All Rights Reserved. Discussion Question 1 Why are aggregate and individual data both necessary? 9 ©2018 Cengage Learning. All Rights Reserved. Incident-Based Police Records
  • 7. • Based on incidents as units 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 10 ©2018 Cengage Learning. All Rights Reserved. National Incident-Based Reporting System • Joint effort by FBI and BJS to convert UCR to a NIBRS • NIBRS reports each crime incident rather than the total # of certain crimes for each law enforcement agency • Many features are reported individually about each incident: offenses, offenders, victims 11 ©2018 Cengage Learning. All Rights Reserved.
  • 8. Discussion Question 2 What if you were in charge of a law enforcement agency? Why would you want to report to the UCR? Why might you not want to report? 12 ©2018 Cengage Learning. All Rights Reserved. Other Revisions with NIBRS • Hierarchy rule dropped • Victim type (individual, business, government, society/public) • Attempted/Completed • Drug-related offenses • Computers and crime • Quality control; states require certification 13 ©2018 Cengage Learning. All Rights Reserved. NIBRS and Measurement Quality • Eliminating the hierarchy rule means offense classifications are mutually exclusive – But not exhaustive, not all crimes are counted
  • 9. • Creating auditing standards and requiring submission of data on computer readable media enhance reliability • Crimes are selectively reported to police and selectively recorded by police – Voluntary: no agency is required to submit crime reports to the FBI in any form 14 ©2018 Cengage Learning. All Rights Reserved. Measuring Crime Through Victim Surveys • Can obtain info on crimes not reported to police • Can measure incidents police may not officially record as crimes • Provides data on victims/offenders (individuals), and the incidents themselves (social artifacts) 15 ©2018 Cengage Learning. All Rights Reserved.
  • 10. National Crime Victimization Survey • Since 1972 by Census Bureau • Sought to illuminate the “dark figure of unreported crime” • Longitudinal panel study: households agree to participated for 3 years (7 interviews; one every 6 months) and then replaced • Does not measure all crime • Respondents are asked screening questions 16 ©2018 Cengage Learning. All Rights Reserved. Discussion Question 3 Would you participate in a victimization survey? Why or why not? 17 ©2018 Cengage Learning. All Rights Reserved. Positive Elements of NCVS • Measures both reported and unreported crime • Independent of changes in reporting
  • 11. • More information about how crime impacted victim than UCR • Provides more victim characteristics than UCR 18 ©2018 Cengage Learning. All Rights Reserved. Negative Elements 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 19 ©2018 Cengage Learning. All Rights Reserved. NCVS Redesign • Sought to improve measurement of domestic violence and sexual assault
  • 12. • Revised screening questions and added cues to help respondents recall and distinguish minor incidents • More direct questions on rape and other sexual crimes • Greater attention to measuring victimizations by someone the respondent knows • Gradual increase of telephone interviews to replace in-person interviews 20 ©2018 Cengage Learning. All Rights Reserved. Community Victimization Surveys • First Development in late 1960’s – A series of city-level surveys by the Census Bureau • 1998 BJS and the Office of Community Oriented Policing Services (COPS) launched pilot surveys in 12 large and medium-sized cities – Jointly developed a guidebook and software so that local law enforcement agencies and other groups can conduct their own community surveys 21
  • 13. ©2018 Cengage Learning. All Rights Reserved. Comparison • Crimes Known to Police: – UCR – SHR – NIBRS • Victim Surveys – NCVS – Community Victimization Surveys 22 ©2018 Cengage Learning. All Rights Reserved. Surveys of Offending • Delinquency, "victimless" crimes, and crimes rarely observed or reported to police may be measured by self-report surveys – Examples: prostitution, drug abuse, public order, shoplifting, drunk driving • Two ongoing self-report studies – National Survey on Drug Use and Health (NSDUH) – Monitor the Future (MTF) 23
  • 14. ©2018 Cengage Learning. All Rights Reserved. National Survey on Drug Use and Health • Based on a national sample of households • Conducted since 1971; 2004 sample had 68,000 individuals • 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 24 ©2018 Cengage Learning. All Rights Reserved. Monitoring the Future • 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
  • 15. • A subset of 2,400 MTF respondents receive follow-up questionnaire 25 ©2018 Cengage Learning. All Rights Reserved. Drug Surveillance Systems • Surveillance systems have been developed to obtain alternative measures of drug use • Arrestee Drug Abuse Monitoring (ADAM) – provides ongoing assessment of drug use among arrestees • Drug Abuse Warning Network (DAWN) – collects emergency medical treatment reports for “drug episodes” from a sample of hospitals 26 ©2018 Cengage Learning. All Rights Reserved. Measuring Crime for Specific Purposes • Local Crime and Self-Report Surveys – e.g., any purpose! • Incident-Based Crime Reports – e.g., Newark PD vehicle theft
  • 16. • Observing Crime – e.g., shoplifting, bar drinking, and violence 27 ©2018 Cengage Learning. All Rights Reserved. Measuring Crime Summary • UCR & SHR: best for murder and crimes in which the victim is a business or commercial establishment • NCVS: best for crimes against persons or households that are not reported to police • Self-report surveys: best at measuring crimes that do not have readily identifiable victims and that are less often observed by or reported to police 28 Chapter 5: Concepts, Operationalization and Measurement
  • 17. 1 © 2018 Cengage Learning. All Rights Reserved. Learning Objectives • Understand the role of concepts as summary devices for bringing together observations and experiences that have something in common • Explain how concepts are mental images that do not exist in the real world • Describe how operationalization specifies concrete empirical procedures for measuring variables • Recognize that operationalization begins with study design but continues through the duration of research • Explain why measurement categories must be mutually exclusive and exhaustive 2 © 2018 Cengage Learning. All Rights Reserved. Learning Objectives, cont. • Distinguish different levels of measurement and the properties of different levels • Understand precision, reliability, and validity as
  • 18. dimensions of measurement quality • Summarize how creating specific, reliable measures may not reflect the complexity of the concepts we seek to study • Understand how multiple measures of a concept can improve reliability and validity • Describe composite measures and explain their advantages 3 © 2018 Cengage Learning. All Rights Reserved. Introduction • Because measurement is difficult and imprecise, researchers try to describe the measurement process explicitly • 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 4
  • 19. © 2018 Cengage Learning. All Rights Reserved. Conceptions and Concepts • Clarifying abstract mental images is an essential first step in measurement • “Crime” • 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., gender, punishment, chivalry, delinquency, poverty, intelligence, racism, sexism, assault, deviance, income 5 © 2018 Cengage Learning. All Rights Reserved. Three Classes • Direct observables: Those things or qualities we can observe directly (color, shape) • Indirect observables: Require relatively more subtle, complex, or indirect observations for things that cannot be observed directly (reports, court transcripts, criminal history records) • Constructs: Theoretical creations; cannot be
  • 20. observed directly or indirectly; similar to Concepts 6 © 2018 Cengage Learning. All Rights Reserved. Conceptualization • Specifying precisely what we mean when we use particular terms • Results in a set of indicators of what we have in mind • Indicates a presence or absence of the concept we are studying • Violent crime = offender uses force (or threatens to use force) against a victim 7 © 2018 Cengage Learning. All Rights Reserved. Indicators and Dimensions • Dimension: Specifiable aspect of a concept • “Crime Seriousness”: Can be subdivided into dimensions – e.g., Dimension – Victim harm
  • 21. – Indicators – Physical injury, economic loss, psychological consequences • Specification leads to deeper understanding 8 © 2018 Cengage Learning. All Rights Reserved. Discussion Question 1 Why does the phrase “crime seriousness” require further conceptualization? 9 © 2018 Cengage Learning. All Rights Reserved. Confusion Over Definitions and Reality • Concepts are abstract and only mental creations • The terms we use to describe them do not have real and concrete meanings – What is poverty? delinquency? strain? • Reification: Process of regarding as real things that are not 10
  • 22. © 2018 Cengage Learning. All Rights Reserved. Creating Conceptual Order • Conceptual definition (what is SES?) – 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 • Operational definition (how will we measure SES?) – Spells out precisely how the concept will be measured 11 © 2018 Cengage Learning. All Rights Reserved. Discussion Question 2 What are some social science concepts that you believe might be hard to operationalize? 12 © 2018 Cengage Learning. All Rights Reserved.
  • 23. 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 13 © 2018 Cengage Learning. All Rights Reserved. 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 • Difficult in CJ research because basic concepts are not perfectly definable 14 © 2018 Cengage Learning. All Rights Reserved. Exhaustive and Exclusive Measurement
  • 24. • 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 • Example: Employment status 15 © 2018 Cengage Learning. All Rights Reserved. Discussion Question 3 Can you identify a variable used in crime studies that is both exhaustive and mutually exclusive? 16 © 2018 Cengage Learning. All Rights Reserved. Levels of Measurement • Nominal: Offer names or labels for characteristics (race, gender, state of residence)
  • 25. • Ordinal: Attributes can be logically rank-ordered (education, opinions, occupational status) • Interval: Meaningful distance between attributes (temperature, IQ) • Ratio: Has a true zero point (age, # of priors, sentence length, income) 17 © 2018 Cengage Learning. All Rights Reserved. Implications of Levels of Measurement • Certain analytic techniques have Levels of Measurement requirements • Ratio level can also be treated as Nominal, Ordinal, or Interval • You cannot convert a lower Level of Measurement to a higher one • Therefore, seek the highest Level of Measurement possible 18 © 2018 Cengage Learning. All Rights Reserved. Criteria for Measurement Quality
  • 26. • The key standards for measurement quality are reliability and validity • Measurements can be made with varying degrees of precision • Common sense dictates that the more precise, the better • However, you do not necessarily need complete precision 19 © 2018 Cengage Learning. All Rights Reserved. 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 20
  • 27. © 2018 Cengage Learning. All Rights Reserved. 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 • Split-half method: Make more than one measure of any concept; see if each measures the concept differently 21 © 2018 Cengage Learning. All Rights Reserved. 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
  • 28. 22 © 2018 Cengage Learning. All Rights Reserved. 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 variable relates to another in the logically expected direction • Content validity: Does the measure cover the range of meanings included in the concept? • Multiple Measures: Alternative measures 23 © 2018 Cengage Learning. All Rights Reserved. Composite Measures • Allows us to combine individual measures to produce more valid and reliable indicators • Reasons for using Composite Measures: – The researcher is often unable to develop single
  • 29. indicators of complex concepts – We may wish to use a rather refined ordinal measure of a variable, arranging cases in several ordinal categories from very low to very high on a variable such as degree of parental supervision – Indexes and scales are efficient devices for data analysis 24 © 2018 Cengage Learning. All Rights Reserved. Typologies • “Taxonomy” • 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 25
  • 30. © 2018 Cengage Learning. All Rights Reserved. Index of Disorder • What is disorder? (Skogan, 1990) • Distinguish between physical presence and 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 26 © 2018 Cengage Learning. All Rights Reserved. Benefits of Indexes • A composite index is a more valid measure than a single question • Computing and averaging across all items in a category create more variation than we could obtain in any single item • Two indexes are more parsimonious than nine individual variables
  • 31. • Data analysis and interpretation can be more efficient 27 Criteria Ratings Points Instructions 20 to >17.0 pts Advanced Student followed all instructions in the course instructions and met all requirements. 8-10 double-spaced pages of content, with at least 20 peer-reviewed references. Paper is cumulative from each section. 17 to >13.0 pts Proficient Student followed most instructions in the course instructions and met most requirements. Page length is between 6-8 pages. Paper is NOT cumulative from each section.
  • 32. 13 to >0.0 pts Developing Student followed some instructions in the course instructions and met some requirements. Less than 6 pages. Paper is NOT cumulative from each section. 0 pts Not Present 20 pts Article Quality 13 to >11.0 pts Advanced All articles are peer-reviewed, dated within five (5) years of the due date of assignment. 11 to >8.0 pts Proficient Most articles are
  • 33. peer-reviewed, dated within five (5) years of the due date of assignment. 8 to >0.0 pts Developing Some or none of the articles are peer-reviewed, dated within five (5) years of the due date of assignment. 0 pts Not Present 13 pts Dissertation Quality 20 to >17.0 pts Advanced Student fully incorporated ideas and concept from the weekly readings of the course. 17 to >13.0 pts Proficient
  • 34. Student partially incorporated ideas and concept from the weekly readings of the course. 13 to >0.0 pts Developing Student occasionally incorporated ideas and concept from the weekly readings of the course. 0 pts Not Present 20 pts Grammar and Spelling 12 to >10.0 pts Advanced Correct spelling and grammar used throughout dissertation. Dissertation contains no errors in grammar or spelling that distract the reader from the
  • 35. content. 10 to >7.0 pts Proficient Dissertation contains some errors in grammar or spelling that distract the reader from the content. 7 to >0.0 pts Developing Dissertation contains several errors in grammar or spelling that distract the reader from the content. 0 pts Not Present 12 pts Research Paper: Conceptual Draft Chapter 1 Grading Rubric | CJUS740_B03_202140 Criteria Ratings Points APA Format Compliance
  • 36. 10 to >8.0 pts Advanced Minimal errors (1-2) noted in the interpretation or execution of proper APA format. APA formatting elements such as: Title page, abstract, running head, headings/subheadings, font type and size, line spacing, and margins. **APA compliance includes the proper application of in-text citations and a reference list. 8 to >6.0 pts Proficient Few errors (3-4) noted in the interpretation or execution of proper APA format. APA formatting elements such as: Title page, abstract, running head, headings/subheadings, font type and size, line spacing, and margins. **APA compliance includes the proper
  • 37. application of in-text citations and a reference list. 6 to >0.0 pts Developing Numerous errors (5+) noted in the interpretation or execution of proper APA format. APA formatting elements such as: Title page, abstract, running head, headings/subheadings, font type and size, line spacing, and margins. **APA compliance includes the proper application of in-text citations and a reference list. 0 pts Not Present 10 pts Total Points: 75 Research Paper: Conceptual Draft Chapter 1 Grading Rubric | CJUS740_B03_202140