Cumulative Racial and Ethnic Disparities Along the School-to-Prison Pipeline

2022 ◽  
pp. 002242782110705
Author(s):  
Kelly Welch ◽  
Peter S. Lehmann ◽  
Cecilia Chouhy ◽  
Ted Chiricos
Keyword(s):  
Criminal Justice ◽  
Race And Ethnicity ◽  
Structural Equation ◽  
School Discipline ◽  
Structural Equation Models ◽  
Ethnic Disparities ◽  
School Suspension ◽  
School To Prison Pipeline ◽  
Cumulative Disadvantage ◽  
Suspension And Expulsion

Using the cumulative disadvantage theoretical framework, the current study explores whether school suspension and expulsion provide an indirect path through which race and ethnicity affect the likelihood of experiencing arrest, any incarceration, and long-term incarceration in adulthood. To address these issues, we use data from Waves I, II, and IV of the Add Health survey (N = 14,484), and we employ generalized multilevel structural equation models and parametric regression methods using counterfactual definitions to estimate direct and indirect pathways. We observe that Black (but not Latinx) individuals are consistently more likely than White persons to experience exclusionary school discipline and criminal justice involvement. However, we find a path through which race and Latinx ethnicity indirectly affect the odds of adulthood arrest and incarceration through school discipline. Disparate exposure to school suspension and expulsion experienced by minority youth contributes to racial and ethnic inequalities in justice system involvement. By examining indirect paths to multiple criminal justice consequences along a continuum of punitiveness, this study shows how discipline amplifies cumulative disadvantage during adulthood for Black and, to a lesser extent, Latinx individuals who are disproportionately funneled through the “school-to-prison pipeline.”

Time, Money, and Punishment: Institutional Racial-Ethnic Inequalities in Pretrial Detention and Case Outcomes

2019 ◽  
Vol 66 (6-7) ◽  
pp. 837-863
Author(s):  
Brandon P. Martinez ◽  
Nick Petersen ◽  
Marisa Omori
Keyword(s):  
Criminal Justice ◽  
Criminal Justice System ◽  
Race And Ethnicity ◽  
Justice System ◽  
Discrete Event ◽  
Ethnic Disparities ◽  
Racial Inequalities ◽  
Pretrial Detention ◽  
Ethnic Stratification ◽  
Racial Ethnic

While prior research finds that pretrial detention has downstream consequences for racial inequalities in conviction and sentencing, it is often conceptualized as a discrete event within the criminal justice system. This study instead argues that pretrial detention operates as a racial-ethnic stratification process across time. We assess whether temporal and monetary dimensions of pretrial produce and reinforce racial-ethnic disparities in pretrial and subsequent case outcomes. Results indicate that time and money significantly stratify defendants by race and ethnicity, where bond amounts increase time detained, and that time detained in turn reinforces racial inequalities in conviction and incarceration. Indicative of cumulative understandings of inequality, our study shows how time and money in pretrial detention perpetuate inequalities in the criminal justice system.

Beyond Incarceration: Criminal Justice Contact and Mental Health

2017 ◽  
Vol 82 (4) ◽  
pp. 719-743 ◽  
Author(s):  
Naomi F. Sugie ◽  
Kristin Turney
Keyword(s):  
Mental Health ◽  
Criminal Justice ◽  
Race And Ethnicity ◽  
Minority Health ◽  
Fixed Effects ◽  
Ethnic Disparities ◽  
Poor Mental Health ◽  
Nationally Representative ◽  
Criminal Justice Contact ◽  
Racial Ethnic

A growing literature documents deleterious consequences of incarceration for mental health. Although salient, incarceration is only one form of criminal justice contact and, accordingly, focusing on incarceration may mask the extent to which the criminal justice system influences mental health. Using insights from the stress process paradigm, along with nationally representative data from the National Longitudinal Survey of Youth 1997, we examine criminal justice contact—defined as arrest, conviction, and incarceration—and mental health. First, fixed-effects models, which adjust for stable unobserved and time-varying observed characteristics, show that arrest is deleteriously associated with mental health, and arrest accounts for nearly half of the association between incarceration and poor mental health, although certain types of incarceration appear more consequential than others. Second, the associations are similar across race and ethnicity; this, combined with racial/ethnic disparities in contact, indicates that criminal justice interactions exacerbate minority health inequalities. Third, the associations between criminal justice contact, especially arrest and incarceration, and mental health are particularly large among respondents residing in contextually disadvantaged areas during adolescence. Taken together, the results suggest that the consequences of criminal justice contact for mental health have a far greater reach than previously considered.

Race, Ethnicity, Crime, and Justice

Criminology ◽  
2009 ◽  
Author(s):  
Ramiro Martinez
Keyword(s):  
Criminal Justice ◽  
Ethnic Minorities ◽  
Race And Ethnicity ◽  
Large Body ◽  
Ethnic Disparities ◽  
The United States ◽  
Ethnic Composition ◽  
Racial And Ethnic Minorities ◽  
Race Ethnicity ◽  
The Impact

The study of race, ethnicity, crime, and justice usually involves research on racial and ethnic differences in crime and justice patterns or the overrepresentation of racial and ethnic minorities in the criminal justice system. Despite recognition that racial and ethnic variations in crime and justice exist, our knowledge on the sources and consequences of this linkage is incomplete. In part this is because the categories of race and ethnicity are evolving. Also, some of the racial and ethnic categories reported by criminal justice agencies are limited or require refinement. For example, some agencies do not always use the same racial and ethnic categories, particularly with respect to Latinos/Hispanics, and code victims or offenders as either white or black. Nevertheless, although current knowledge is limited, there is still a large body of research on the relationships among race, ethnicity, crime, and justice. Criminologists tend to favor examining the impact of racial or ethnic composition, net of other social and economic factors, on violent crimes such as homicide across cities, or they will examine racial- or ethnic-specific outcomes across communities. Some social scientists also examine the effects of race and ethnicity by examining the relationship between the police and racial and ethnic minorities, or perhaps variations in sentencing and incarceration in prisons, jails, and halfway houses. However one chooses to examine race, ethnicity, crime, and justice, there are considerable racial and ethnic disparities concerning this topic across the United States.

School Discipline as a Consequence of Violent Victimization in Adolescence: Understanding the Mediating Roles of Head Injury and Behavior

2020 ◽  
pp. 088626052095963
Author(s):  
Alysse M. Loomis ◽  
Melanie Sonsteng-Person ◽  
Jeremiah Jaggers ◽  
Philip Osteen
Keyword(s):  
Head Injury ◽  
Problem Behavior ◽  
Problem Behaviors ◽  
Structural Equation ◽  
School Discipline ◽  
Racial Bias ◽  
Well Being ◽  
Equation Modeling ◽  
And Behavior ◽  
Suspension And Expulsion

Pathways from violence to head injury and poor long-term outcomes have been found among numerous populations, however, have not yet been widely examined with youth exposed to violence. Traumatic brain injuries (TBIs) are linked to a range of consequences salient to adolescent development and well-being, such as impulsivity, academic abilities, and emotional processing. This gap in research has led to a missed opportunity to understand the consequences of youth victimization, particularly within the academic setting. The current study examined whether head injury and problem behaviors mediate the relationships between victimization and suspension/expulsion using data from the Pathways to Desistance Study, a multi-site, longitudinal study of serious adolescent offenders age 14–18. A sample of male youth who had witnessed violence ( n = 1,094) reported a total score of victimization, number of early behavior problems (i.e., cheating, fighting, etc.), ever having a head injury (32.9%), and number of times suspended (adjusted M = 13.13; SD = 19.31) or expelled (adjusted M = 0.65; SD = 0.99). Structural equation modeling was used to examine direct and indirect pathways from victimization to suspension and expulsion through head injury and behavior. Direct pathways from victimization to school discipline were significant; indirect pathways mediated by only head injury were not significant, but indirect pathways through only problem behavior and through TBI and problem behavior were significant for both expulsion and suspension. Results suggest that youth who have been victimized are at higher risk for both suspension and expulsion and that this risk may be, in part, explained through increased head injury and problem behaviors. TBI screenings/services for violence-exposed youth and trauma-informed school-based services may help to deter trajectories toward suspension and expulsion but should be developed with attention to the influence of racial bias on pathways to school discipline.

Measuring the Big Five in Self-Report and Other Ratings

2000 ◽  
Vol 16 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Claudio Barbaranelli ◽  
Gian Vittorio Caprara
Keyword(s):  
Big Five ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Error Variance ◽  
The Self ◽  
Self Report ◽  
Sources Of Information ◽  
Third Person ◽  
Fit Indexes ◽  
Response Modes

Summary: The aim of the study is to assess the construct validity of two different measures of the Big Five, matching two “response modes” (phrase-questionnaire and list of adjectives) and two sources of information or raters (self-report and other ratings). Two-hundred subjects, equally divided in males and females, were administered the self-report versions of the Big Five Questionnaire (BFQ) and the Big Five Observer (BFO), a list of bipolar pairs of adjectives ( Caprara, Barbaranelli, & Borgogni, 1993 , 1994 ). Every subject was rated by six acquaintances, then aggregated by means of the same instruments used for the self-report, but worded in a third-person format. The multitrait-multimethod matrix derived from these measures was then analyzed via Structural Equation Models according to the criteria proposed by Widaman (1985) , Marsh (1989) , and Bagozzi (1994) . In particular, four different models were compared. While the global fit indexes of the models were only moderate, convergent and discriminant validities were clearly supported, and method and error variance were moderate or low.

Collective Efficacy and Organizational Commitment in an Italian City Hall

2009 ◽  
Vol 14 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Laura Borgogni ◽  
Silvia Dello Russo ◽  
Laura Petitta ◽  
Gary P. Latham
Keyword(s):  
Organizational Commitment ◽  
Collective Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Practical Significance ◽  
City Hall ◽  
Italian City ◽  
Public Sector Managers ◽  
The Individual ◽  
Level Group

Employees (N = 170) of a City Hall in Italy were administered a questionnaire measuring collective efficacy (CE), perceptions of context (PoC), and organizational commitment (OC). Two facets of collective efficacy were identified, namely group and organizational. Structural equation models revealed that perceptions of top management display a stronger relationship with organizational collective efficacy, whereas employees’ perceptions of their colleagues and their direct superior are related to collective efficacy at the group level. Group collective efficacy had a stronger relationship with affective organizational commitment than did organizational collective efficacy. The theoretical significance of this study is in showing that CE is two-dimensional rather than unidimensional. The practical significance of this finding is that the PoC model provides a framework that public sector managers can use to increase the efficacy of the organization as a whole as well as the individual groups that compose it.

A Cautionary Note on Incremental Fit Indices Reported by LISREL

Methodology ◽  
2005 ◽  
Vol 1 (2) ◽  
pp. 81-85 ◽  
Author(s):  
Stefan C. Schmukle ◽  
Jochen Hardt
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Null Model ◽  
Likelihood Estimation ◽  
Parameter Estimates ◽  
Fit Indices ◽  
Cautionary Note ◽  
Confirmatory Factor

Abstract. Incremental fit indices (IFIs) are regularly used when assessing the fit of structural equation models. IFIs are based on the comparison of the fit of a target model with that of a null model. For maximum-likelihood estimation, IFIs are usually computed by using the χ2 statistics of the maximum-likelihood fitting function (ML-χ2). However, LISREL recently changed the computation of IFIs. Since version 8.52, IFIs reported by LISREL are based on the χ2 statistics of the reweighted least squares fitting function (RLS-χ2). Although both functions lead to the same maximum-likelihood parameter estimates, the two χ2 statistics reach different values. Because these differences are especially large for null models, IFIs are affected in particular. Consequently, RLS-χ2 based IFIs in combination with conventional cut-off values explored for ML-χ2 based IFIs may lead to a wrong acceptance of models. We demonstrate this point by a confirmatory factor analysis in a sample of 2449 subjects.

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

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