Using Multitrait-Multimethod (MTMM) Techniques to Examine the Convergent and Discriminant Validity of Social Disorder

Published date01 August 2018
DOI10.1177/0022427818771109
Date01 August 2018
Subject MatterArticles
Article
Using Multitrait-
Multimethod (MTMM)
Techniques to
Examine the Convergent
and Discriminant Validity
of Social Disorder
Sue-Ming Yang
1
, Joshua C. Hinkle
2
,
and Laura A. Wyckoff
3
Abstract
Objectives: Disorder has been measured by various data sources; however,
little attention has been given to comparing the construct validity of differ-
ent measures obtained through various methods in capturing social disor-
der and related phenomena. Methods: The multitrait-multimethod approach
was used to triangulate the consistency between social disorder, prostitu-
tion and drug activity across resident surveys, systematic social observa-
tions, and police calls for service data. Results: Prostitution and drug activity
showed convergent validity, while there was little evidence that social dis-
order was consistently measured across the three methods. None of the
three social problem me asures showed high disc riminant validity. Dr ug
1
Department of Criminology, Law and Society, George Mason University, Fairfax, VA, USA
2
Department of Criminal Justice and Criminology, Georgia State University, Atlanta, GA, USA
3
U.S. Department of Justice, Bureau of Justice Assistance, Washington, DC, USA
Corresponding Author:
Sue-Ming Yang, Department of Criminology, Law and Society, George Mason University, 4400
University Drive, MS 4F4, Fairfax, VA 22030, USA.
Email: syang10@gmu.edu
Journal of Research in Crime and
Delinquency
2018, Vol. 55(5) 571-608
ªThe Author(s) 2018
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DOI: 10.1177/0022427818771109
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activity seems to have highest trait-specific discriminant validity across
measures, and prostitution is the most iden tifiable measure across data
sources. Social disorder was found to have low discriminant validity. How-
ever, the agreement between databases varies across the type of soc ial
problems. Conclusions: Social disorder appears to the most difficult concept
to define and measure consistently. The lack of correspondence across data
sources cautions against the use of a single source of information in studying
disorder. Future studies should explore the factors that shape perceptions
of disorder and how to best measure disorder to test the broken windows
thesis and related concepts.
Keywords
broken windows, disorder, multitrait-multimethod, construct validity
Disorder has a long history in the study of urban communities (Hunter 1978;
Jacobs 1961; Sennett 1970, 1989). Sometimes referred to as incivilities,
disorder refers to social nuisance behaviors, such as loitering and public
drinking, as well as dilapidated physical conditions in a community (Samp-
son and Raudenbush 1999; Skogan 1990; Taylor 1999). Scholars have long
argued that disorder has important implications for understanding crime and
fear of crime. Various theories view disorder as an indicator of social
disorganization and/or a product of weakened informal social control
(Sampson, Raudenbush, and Earls 1997; Shaw and McKay 1942; Taylor
1999). Disorder has also been central in studies attempting to understand
fear of crime after numerous early studies found limited linkage between
crime rates, victimization rates/risk, and fear (Ferraro 1995; Garofalo and
Laub 1978; Wilson 1975).
However, the topic rose to prominence with the broken windows idea,
advanced by Wilson and Kelling (1982) in their seminal article in the
Atlantic Monthly, which suggested police could best fight crime by target-
ing minor social ills such as loitering and public drinking and rapidly
cleaning up physical dilapidation such as litter and graffiti. Their idea that
disorder could send signals that inspire community decline has been further
advanced upon by other scholars over the years (e.g., Innes 2004, 2014;
Skogan 1990), and police leaders latched on to this idea with tactics based
upon it being most prominently deployed in New York City (Bratton and
Knobler 1998; Giuliani and Kurson 2002). However, actual empirical evi-
dence on both the disorder-crime nexus (see Hinkle 2013) and the
572 Journal of Research in Crime and Delinquency 55(5)
effectiveness of disorder-focused police tactics (for review, see Braga,
Welsh, and Schnell 2015) is thoroughly mixed. In our view, much of this
lack of consensus can be traced to the relatively underdeveloped under-
standing of disorder as a measure.
Indeed, despite this long history of theoretical and evaluation research,
comparatively limited attention has been given to the measurement of dis-
order. In particular, several approaches have been used to measure disorder,
and there has been little attention given to understanding the strength s,
weaknesses, and reliability/validity of measures obtained using different
methods. The most prevalent methods of measuring diso rder have been
surveys of perceptions of disorder and systematic social observation (SSO)
of places by researchers—with official data such as police calls for service
(CFS) or incident reports also used in some studies. All three methodologies
have been used to create various scale measurements of disorder including
omnibus measures of overall diso rder and separate scales of social and
physical disorder (see Skogan 1990). This variation in types of measure-
ment and definitions of disorder has perhaps muddied our theoretical under-
standing of the broken windows thesis (Wilson and Kelling 1982), and the
police tactics emerging from the idea as we lack knowledge about whether
these methodologies are in fact measuring the same underlying construct.
While consistent and accurate measurement and de finition of central
concepts are crucial for generating knowledge in any area, it is particularly
important when attempting to measure constructs that lack clear, consistent
definitions. In disorder research, scholars have noted that, unlike crime,
disorder is not a concrete concept that is easily defined (Harcourt 2001;
Sampson 2012). In his book Disorder and Decline, Skogan (1990) argued
that the concept of disorder is ambiguous and can represent a variety of
meanings (see also Harcourt 2001; Innes 2004, 2014). Importantly, he noted
the need to differentiate between friendly “active uses of the environment”
(not disorder) and disorderly behavior, which bothers the reside nts of a
neighborhood. The former may suggest a very well-connected neighbor-
hood, while the latter may represent a disorganized neighborhood. More-
over, in 2015, Skogan compared the definition of disorder used by the
Home Office in England, a definition commonly used in the United States,
and concluded that disorder is socially defined and takes up different mean-
ings across different cultures. Skogan’s point highlights an important
insight. Rather than being a concrete, objective phenomenon that is easily
defined and observed, the perception of disorder is context related. This is
likely particularly true for some forms of social disorder. For instance, some
young people hanging around a street corner might be perceived as loitering
Yang et al. 573

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