Podcast
Questions and Answers
Koons-Witt's (2002) study in Minnesota found what regarding the relationship between a defendant's sex and the likelihood of incarceration?
Koons-Witt's (2002) study in Minnesota found what regarding the relationship between a defendant's sex and the likelihood of incarceration?
- Females were more likely to be incarcerated, especially for violent crimes.
- The defendant's sex was a primary factor in sentencing decisions.
- Males were more likely to receive harsher sentences than females.
- The defendant's sex was not significantly related to the likelihood of incarceration. (correct)
Which of the following best describes the relationship between age and the prospect of incarceration as identified by Steffensmeier, Kramer, and Ulmer (1995)?
Which of the following best describes the relationship between age and the prospect of incarceration as identified by Steffensmeier, Kramer, and Ulmer (1995)?
- A curvilinear relationship where the likelihood of incarceration increases until around age 30 and then decreases. (correct)
- A linear relationship where the likelihood of incarceration decreases steadily with age.
- A linear relationship where the likelihood of incarceration increases steadily with age.
- No significant relationship between age and the likelihood of incarceration.
According to Kramer and Ulmer (2009), which group tends to receive more severe sentences compared to their White or Black counterparts?
According to Kramer and Ulmer (2009), which group tends to receive more severe sentences compared to their White or Black counterparts?
- Middle-aged Black females
- Young Black males
- Middle-aged White males
- Young Hispanic males (correct)
According to Portillos (1998), the perceived threat associated with Latinos is particularly linked to which demographic?
According to Portillos (1998), the perceived threat associated with Latinos is particularly linked to which demographic?
What did Spohn and Holleran (2000) conclude regarding sentencing disparities across different racial and ethnic groups?
What did Spohn and Holleran (2000) conclude regarding sentencing disparities across different racial and ethnic groups?
How did Steffensmeier and Demuth characterize the association between race/ethnicity and specific types of crime?
How did Steffensmeier and Demuth characterize the association between race/ethnicity and specific types of crime?
Steffensmeier et al. (1998) introduced the concept of the 'punishment cost' related to specific demographics. Which group did they identify as most at risk for receiving the harshest sentences?
Steffensmeier et al. (1998) introduced the concept of the 'punishment cost' related to specific demographics. Which group did they identify as most at risk for receiving the harshest sentences?
Based on the findings of Steffensmeier et al. (1998) using Pennsylvania Guidelines data, which age group was least likely to be incarcerated?
Based on the findings of Steffensmeier et al. (1998) using Pennsylvania Guidelines data, which age group was least likely to be incarcerated?
According to Portillos, what assumption is frequently made about young Latino males?
According to Portillos, what assumption is frequently made about young Latino males?
What factor reinforces the perception that young Black and Hispanic males are dangerous and in need of more severe punishment?
What factor reinforces the perception that young Black and Hispanic males are dangerous and in need of more severe punishment?
How did Steffensmeier et al. (1995) find the curvilinear relationship between age and sentencing to vary across different types of crime?
How did Steffensmeier et al. (1995) find the curvilinear relationship between age and sentencing to vary across different types of crime?
What was a key finding of Steffensmeier et al. (1998) regarding the likelihood of incarceration for different race/sex pairings across various age groups?
What was a key finding of Steffensmeier et al. (1998) regarding the likelihood of incarceration for different race/sex pairings across various age groups?
In their studies of federal and state courts, what did Steffensmeier and Demuth find regarding sentencing outcomes for Blacks and Hispanics compared to Whites?
In their studies of federal and state courts, what did Steffensmeier and Demuth find regarding sentencing outcomes for Blacks and Hispanics compared to Whites?
According to Steffensmeier and Demuth's research, for which type of crime were racial disparities in sentencing most pronounced?
According to Steffensmeier and Demuth's research, for which type of crime were racial disparities in sentencing most pronounced?
What did Steffensmeier et al. (1998) conclude regarding the intersection of race, age, and gender in sentencing outcomes?
What did Steffensmeier et al. (1998) conclude regarding the intersection of race, age, and gender in sentencing outcomes?
What did Unnever and Hembroff's (1988) analysis of drug offenders in Miami reveal about sentencing patterns?
What did Unnever and Hembroff's (1988) analysis of drug offenders in Miami reveal about sentencing patterns?
Why is it important to examine the effects of incarceration on jail and prison separately, according to the content?
Why is it important to examine the effects of incarceration on jail and prison separately, according to the content?
According to the "focal concerns" framework, what are the three primary concerns that influence judicial decision making in sentencing?
According to the "focal concerns" framework, what are the three primary concerns that influence judicial decision making in sentencing?
Within the focal concern of 'blameworthiness', which factors are central considerations?
Within the focal concern of 'blameworthiness', which factors are central considerations?
How does the 'protection of the community' focal concern influence sentencing decisions?
How does the 'protection of the community' focal concern influence sentencing decisions?
Why does grouping crime types into broad categories potentially lead to inaccuracies when studying incarceration decisions?
Why does grouping crime types into broad categories potentially lead to inaccuracies when studying incarceration decisions?
How might a defendant's role in a criminal event (e.g., leader, accomplice, follower) affect the assessment of their blameworthiness?
How might a defendant's role in a criminal event (e.g., leader, accomplice, follower) affect the assessment of their blameworthiness?
A study estimates a model using age-group categories and finds a potential turning point at 25 years of age. What does this suggest about the relationship between age and the outcome being studied?
A study estimates a model using age-group categories and finds a potential turning point at 25 years of age. What does this suggest about the relationship between age and the outcome being studied?
The study mentions controlling for predictors presented in a table but not showing their effects for parsimony. What does 'parsimony' mean in this context?
The study mentions controlling for predictors presented in a table but not showing their effects for parsimony. What does 'parsimony' mean in this context?
According to the content, what is the ultimate goal of sentencing within the focal concern of blameworthiness?
According to the content, what is the ultimate goal of sentencing within the focal concern of blameworthiness?
Albonetti's 1991 study discusses 'An Integration of Theories to Explain Judicial Discretion.' Which research area does this study fall under?
Albonetti's 1991 study discusses 'An Integration of Theories to Explain Judicial Discretion.' Which research area does this study fall under?
Which of the following is an example of a 'practical constraint' that could influence judicial decision-making, according to the 'focal concerns' framework?
Which of the following is an example of a 'practical constraint' that could influence judicial decision-making, according to the 'focal concerns' framework?
Bridges and Steen's 1998 paper examines 'Racial Disparities in Official Assessments of Juvenile Offenders'. What is one likely focus of this research?
Bridges and Steen's 1998 paper examines 'Racial Disparities in Official Assessments of Juvenile Offenders'. What is one likely focus of this research?
According to the focal concerns perspective, which of the following factors might influence judicial decision-making, beyond legally prescribed factors?
According to the focal concerns perspective, which of the following factors might influence judicial decision-making, beyond legally prescribed factors?
Burton et al. (2004) published a paper titled, 'Applying a Crime Seriousness Scale to Measure Changes in the Severity of Offenses by Individuals Arrested in Florida’. What does the study primarily aim to do?
Burton et al. (2004) published a paper titled, 'Applying a Crime Seriousness Scale to Measure Changes in the Severity of Offenses by Individuals Arrested in Florida’. What does the study primarily aim to do?
Cohen (1990) wrote a paper called 'Things I have learned (so far)'. What kind of article is this most likely to be?
Cohen (1990) wrote a paper called 'Things I have learned (so far)'. What kind of article is this most likely to be?
How do Steffensmeier et al. (1998) suggest that judges may use stereotypes in their decision-making process?
How do Steffensmeier et al. (1998) suggest that judges may use stereotypes in their decision-making process?
Crawford, Chiricos, and Kleck (1998) studied the effect of 'Race, Racial Threat, and Sentencing of Habitual Offenders'. What could be explored?
Crawford, Chiricos, and Kleck (1998) studied the effect of 'Race, Racial Threat, and Sentencing of Habitual Offenders'. What could be explored?
What is Albonetti's (1991) main argument regarding judicial assessments of future offending?
What is Albonetti's (1991) main argument regarding judicial assessments of future offending?
What practical organizational constraint might influence judicial decision-making?
What practical organizational constraint might influence judicial decision-making?
Daly's research (1987, 1989) focuses on gender in the criminal courts, specifically examining judicial paternalism, work-family relations, and sentencing. What is a likely research question?
Daly's research (1987, 1989) focuses on gender in the criminal courts, specifically examining judicial paternalism, work-family relations, and sentencing. What is a likely research question?
According to Bridges and Steen (1998) and Steffensmeier et al. (1998), what perception might lead to minority offenders being sanctioned more harshly?
According to Bridges and Steen (1998) and Steffensmeier et al. (1998), what perception might lead to minority offenders being sanctioned more harshly?
Why is it difficult to directly demonstrate stereotyping through quantitative sentencing data?
Why is it difficult to directly demonstrate stereotyping through quantitative sentencing data?
Which of the following best describes the relationship between legal factors and extra-legal considerations in the sentencing process, according to the focal concerns perspective?
Which of the following best describes the relationship between legal factors and extra-legal considerations in the sentencing process, according to the focal concerns perspective?
Steen, Engen, and Gainey (2005) found that young Black males are more likely to be seen as:
Steen, Engen, and Gainey (2005) found that young Black males are more likely to be seen as:
Which of the following research questions aligns most closely with the core focus of the article by Koons-Witt (2002), considering the context provided?
Which of the following research questions aligns most closely with the core focus of the article by Koons-Witt (2002), considering the context provided?
Considering the research by Kramer and Ulmer (2002) on downward departures, which factor would be most influential in a judge's decision to grant a departure for a serious violent offender in Pennsylvania?
Considering the research by Kramer and Ulmer (2002) on downward departures, which factor would be most influential in a judge's decision to grant a departure for a serious violent offender in Pennsylvania?
If a researcher aims to conduct a comprehensive meta-analysis on the relationship between race and sentencing outcomes, which article from the provided list would serve as the most relevant starting point?
If a researcher aims to conduct a comprehensive meta-analysis on the relationship between race and sentencing outcomes, which article from the provided list would serve as the most relevant starting point?
Which of the following scenarios best reflects the central argument made by Peterson and Hagan (1984) regarding race and sentencing?
Which of the following scenarios best reflects the central argument made by Peterson and Hagan (1984) regarding race and sentencing?
A policymaker wants to understand the effects of implementing stricter sentencing guidelines on young, unemployed minority offenders. Which study would provide the most direct evidence on this topic?
A policymaker wants to understand the effects of implementing stricter sentencing guidelines on young, unemployed minority offenders. Which study would provide the most direct evidence on this topic?
If a court aims to reduce racial disparities in sentencing, which approach would align with Spohn's (2000) perspective on achieving a racially neutral sentencing process?
If a court aims to reduce racial disparities in sentencing, which approach would align with Spohn's (2000) perspective on achieving a racially neutral sentencing process?
Researchers find conflicting results regarding racial bias in sentencing. Which author from the list provides a framework, as indicated in their article title, for explaining these conflicting results?
Researchers find conflicting results regarding racial bias in sentencing. Which author from the list provides a framework, as indicated in their article title, for explaining these conflicting results?
Considering Maxwell, Robinson, and Post's (2003) study, which crime type would likely show the most pronounced impact of race on adjudication, based on their findings?
Considering Maxwell, Robinson, and Post's (2003) study, which crime type would likely show the most pronounced impact of race on adjudication, based on their findings?
Flashcards
Crime Category Specificity
Crime Category Specificity
Examining specific crime types to understand their impact on incarceration decisions, rather than grouping them into broad categories.
Focal Concerns Framework
Focal Concerns Framework
The framework that uses both legal and extralegal factors such as blameworthiness, community protection, and practical constraints to influence judicial decision making during criminal sentencing.
Blameworthiness
Blameworthiness
Defendant's culpability and the degree of harm caused by the crime.
Punishment Fit
Punishment Fit
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Role in Criminal Event
Role in Criminal Event
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Community Protection
Community Protection
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Defendant Threat Level
Defendant Threat Level
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Jail vs. Prison Distinction
Jail vs. Prison Distinction
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Attributional Stereotypes
Attributional Stereotypes
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Stereotyping in Sentencing
Stereotyping in Sentencing
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Perceptual Shorthand
Perceptual Shorthand
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Organizational Concerns
Organizational Concerns
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Impact on Prison Capacity
Impact on Prison Capacity
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Individual-Level Concerns
Individual-Level Concerns
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Legally Prescribed Factors
Legally Prescribed Factors
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Focal Concerns Perspective
Focal Concerns Perspective
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Tipping Point (Age)
Tipping Point (Age)
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Parsimony in Statistical Models
Parsimony in Statistical Models
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Judicial Discretion
Judicial Discretion
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Crime Seriousness Scale
Crime Seriousness Scale
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Extra-Legal Factors
Extra-Legal Factors
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Sex-Based Disparities
Sex-Based Disparities
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Involvement in Crime
Involvement in Crime
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Spohn & Holleran (2000) findings
Spohn & Holleran (2000) findings
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Kramer & Ulmer (2009) results
Kramer & Ulmer (2009) results
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Impact of sentencing guidelines
Impact of sentencing guidelines
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Stereotypes in criminality perceptions
Stereotypes in criminality perceptions
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Steffensmeier & Demuth on drug crimes
Steffensmeier & Demuth on drug crimes
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Portillos' observation
Portillos' observation
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Steffensmeier & Demuth (federal/state courts)
Steffensmeier & Demuth (federal/state courts)
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Drug vs. Non-drug Crime Disparities
Drug vs. Non-drug Crime Disparities
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Koons-Witt (2002) Study
Koons-Witt (2002) Study
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Age and Incarceration
Age and Incarceration
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Curvilinear Age Effect
Curvilinear Age Effect
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Crime Type & Age Effect
Crime Type & Age Effect
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Stereotyping and Age
Stereotyping and Age
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Steffensmeier et al. (1998) Main Effects
Steffensmeier et al. (1998) Main Effects
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Age Incarceration Groups
Age Incarceration Groups
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High-Risk Offender Group
High-Risk Offender Group
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The American Jury (1966)
The American Jury (1966)
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Race, Crime and the Law (1997)
Race, Crime and the Law (1997)
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Kleck (1981) on Racial Discrimination in Sentencing
Kleck (1981) on Racial Discrimination in Sentencing
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Koons-Witt (2002) on Gender and Incarceration
Koons-Witt (2002) on Gender and Incarceration
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Kramer and Ulmer (2002) on Downward Departures
Kramer and Ulmer (2002) on Downward Departures
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Sentencing Guidelines: Lessons From Pennsylvania (2009)
Sentencing Guidelines: Lessons From Pennsylvania (2009)
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The Anatomy of Racial Inequality (2003)
The Anatomy of Racial Inequality (2003)
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Pratt (1998) Meta-Analysis on Race and Sentencing
Pratt (1998) Meta-Analysis on Race and Sentencing
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Study Notes
- This study examines whether young Black or Hispanic males experience an "incarceration penalty" compared to other demographic groups in sentencing patterns.
- Racial, ethnic, age, and sex differences in incarceration rates are well-known in the United States.
- Black and Hispanic incarceration rates are six to eight times higher than White offenders, and males are 14 times more likely to be incarcerated than women.
- This research explores how race, ethnicity, age, and sex influence incarceration decisions across nine offense categories using Florida felony conviction data from 2000-2006.
- The study finds that legally relevant factors significantly influence incarceration decisions, with young Black males being most disadvantaged.
- Keywords include race/ethnicity, sentencing, sentencing guidelines, and gender.
Sentencing Disparities and Guidelines
- Since the early 1980s, many states have implemented sentencing guidelines to create certainty, reduce unwarranted disparity, and increase transparency.
- Despite these efforts, race, ethnic, age, and sex disparities in incarceration persist, with higher rates for men, Blacks, and Hispanics.
- In 2007 US men were incarcerated at a rate 14 times higher than that of women.
- Incarceration rate for Black males between 25 and 29 was 7 times of that of White males and the rate for Hispanic males of the same age was 2 times that of White males.
- Scholars question whether these disparities stem from differential involvement in crime or differential treatment during sentencing.
- Some argue disparities reflect unequal distribution of harm and danger definitions across racial, ethnic, age, and sex categories.
- This research examines the effects of race, Hispanic ethnicity, age, and sex on incarceration decisions
- It questions whether young Black and Hispanic males face an incarceration "penalty" for specific offenses, using Florida felony conviction data from 2000-2006 (N = 501,027).
Extending Prior Research
- This study includes Hispanics and Blacks to see if young Hispanic males are as likely as young Black males to be sentenced to to jail and/or prison.
- It examines jail and prison effects across nine specific crime types for a more nuanced analysis of how crime types impact incarceration decisions.
- The importance of examining the jail and prison sentence components separately is emphasized.
- The combined effects of race, ethnicity, age, and gender on incarceration decisions is explored using a three-category dependent variable.
Focal Concerns Framework
- The relationship between criminal sentencing and the defendant's race, ethnicity, sex, and age is conceptualized using the "focal concerns" framework.
- This framework emphasizes legal and extra-legal factors in sentencing, mainly blameworthiness, community protection, and practical constraints.
Blameworthiness, Community Protection, and Practical Constraints
- Blameworthiness focuses on the defendant's culpability and the injury associated with the crime ensuring fair punishment.
- Community protection is concerned with future criminality and the danger a defendant poses to the community.
- Practical constraints and consequences are concerns at both the organizational and individual levels.
- Judges make assessments about the likelihood of future offending with incomplete information and may rely on attributional stereotypes linked to offender characteristics.
- Studies show young Black males are stereotyped as more blame-worthy.
- Practical constraints include ensuring an orderly flow of cases through the court system and considering the impact on jail and prison capacities.
Influence of Extra-Legal Considerations
- While legal factors like offense type, severity, and prior record are strong predictors of punishment, the focal concerns perspective suggests extra-legal factors can also affect sentencing.
- Minority offenders are often sanctioned more harshly due to the perception of being more threatening.
- Judges view young Black men as more dangerous, committed to street life, and less reformable.
Race, Hispanic Ethnicity, Age, Sex, and Incarceration
- Blacks and Hispanics are more disadvantaged than Whites
- Black defendants in Pennsylvania were more likely to be incarcerated than Whites for both drug and non-drug offenses.
- Hispanics are also more likely than Whites to be incarcerated, with a harsher overall sentencing experience than Blacks.
- Whites are most advantaged during the sentencing decision, racial and ethnic disparities have declined since sentencing guidelines implementation in Pennsylvania.
- Men are more disadvantaged than women, perceived as more dangerous to the community.
- Age is inversely related to the prospect of being incarcerated.
- The probability of incarceration increased with age until around 30 and declined.
- Young Black males are frequently perceived as "the dangerous class" and heavily impacted by stereotyping.
- Black, young, and male demographics are more likely to receive harsher sentences.
- Young Black and Hispanic defendants were more likely than middle-aged White offenders to be sentenced to prison.
Perceptions Across Crime Type
- Perceptions of criminality differ across races (particularly in discourse regarding drugs and violence), and are often associated with young Black and Hispanic males.
- Stereotypes about young Black and Hispanic males, reinforce the perception of future criminality, reinforcing the notion that they are dangerous and deserve increased punishment.
- Blacks and Hispanics were more disadvantaged than Whites, with Hispanics having greater odds of incarceration than both Blacks and Whites.
- This pattern was substantially stronger in both studies for drug crimes than for nondrug crimes.
Influence of Offense Severity
- Extra-legal factors like race, ethnicity, age, and sex on incarceration may influenced by offense severity.
- Liberation hypothesis suggests that judicial decision-making is more strongly influenced by the seriousness of the crime when more severe.
- Judges may rely on nonlegal factors when making incarceration decisions, with less severe offenses.
Summary of Expectations
- Black, Hispanic, and male defendants are expected to be more likely to be incarcerated than White and female defendants, considering legally relevant factors.
- The effects for age are expected to be curvilinear.
- It is expected that the effects of race and ethnicity will be stronger for males than for females.
- Expect that young Black and Hispanic males greater odds of being sentenced to jail or prison across all nine offense categories
- Expect that young Black and Hispanic males will be most disadvantaged across crime types.
- The odds of their incarceration will be greater for for drug crimes or less serious offenses where judges are less constrained by the law.
- No similar disparities are expected to be observes among for White, Black, and Hispanic females.
Data and Methods
- Data is taken from the Florida Department of Corrections (DOC) Sentencing Guidelines database and its Offender-Based Information System (OBIS).
- Analysis includes 501,027 defendants convicted and sentenced in Florida from 2000 to 2006.
- Dependent variable includes three decision categories: jail, prison, and community supervision.
- Effects of jail and prison sentences are empirically examined separately.
- Florida median jail sentence is about 90 days, compared to 33 months prison term.
- The focus is on combined effects of age, sex, race/ethnicity, and the anticipated incarceration penalty paid by young Black and young Hispanic males.
- Age at sentencing is measured continuously.
- Race, ethnicity, and sex are non-Hispanic Black, Hispanic, and male measured as "yes or no".
- Characteristics for the defendant and the offense, current offense, prior offense, and other associated characteristics with sentence are controlled for when evaluating sentence severity.
- Controlling for sentencing year and the judicial circuit in which the defendant was convicted.
- Nine dummy variables are used to measure current offense type, based on the FBI's UCR index crime categories.
- Current offense seriousness is the Florida sentencing guideline points associated with the offense for which the defendant was convicted.
- Prior record is measured in three ways (a) the sentencing points guidelines points with the defendant's prior record (b) if the defendant has been sentenced to prison and (c) whether the defendant has had a history of community sentence.
Florida Sentencing Guidelines
- Florida's scoring system is one of the most comprehensive and discriminating measures of crime seriousness available for research
- Crime seriousness is measured by assigning sentencing guideline points, additional offenses at conviction, victim injury etc.
- A score greater than 44 points is assigned to sentences with a guideline recommending prison.
- A dichotomous measure of crime severity is used that is called “scored to prison".
- Additional measure of the sentencing event is added to the equation, whether or not the defendant pleads "guilty" or goes to "trial".
- The likelihood of two incarceration decisions-jail and prison, is is examined and assessed for defendants across nine offense categories in order to comparatively assess the incarceration penalty that young Black and Hispanic males may pay when sentenced for specific types of crime.
Findings
- Outcomes of the multinomial logistic regression model measuring age sex race and ethnicity with the decision to sentence the defendant to jail or prison is shared.
- Dummy variables for primary offense type, sentencing year is included.
- Findings are consistent with prior research with Black's more likely to be sent to jail and prison.
- Males more likely to be sentenced to prison in general as compared to women.
- Even after controlling for legally relevant factors, being Hispanic increases the odds of a prison sentence by 23 percent.
- Defendants who are being sentenced to prison were five times more likely to be scored to prison.
- The results indicate the largest effect on the odds of receiving a hail sentence are of drug crimes are the largest effect
- Defendents convicted of drug crimes are less likely to be sentenced to prison.
- Finding is supportive of the the hypothesis that young Black males, pay incarceration penalty, even after controlling for legally relevant and legally relevant factors.
- In a comparative insatnce, young Black Males are less likely than others to be sentenced to jail as compared to all other race/age/gender categories.
- Young black Males have a higher probability of being snetenced to prison than all other groups
Incarceration Across Offense Types
- Incarceration for age, race and sex (specifically for young Black and Hispanic males) examined across nine offense types
- The only prior research to examine the crime-specific effects of age, race, and sex on the decision to incarcerate was reported by Steffensmeier et al. (1998).
- Black females have a greater liklihood of being sent to jail than either Hispanics or Whites for each of the seven crimes.
- For drug crimes, the young Black male disadvantage is both strong and consistent.
- In the likelihood of prison incarceration is significantly greater for young Black males related to burglary, drug possession, aggravated assault and drug sale/trafficking drug crimes
Explanations and Limitations
- Severity of crime is related with the the level of sentencing which in turn drives disparities
- Findings support the liberation hypothesis
- Study lacks information on charging decisions
- Study limited by lac of information on employment, socioeconomics or familial resposnibilites.
- It is known that Young Black males make up the most of the prison population which contributes to the racial disparity in sentencing.
Key Stats
- 3,161 Black male prisoners per 100,000 Black males in the United States.
- Among White males 723 prisoners per 100,000.
- Hispanic male prison populations are not as large as Black males but are still incarcerated at a rate double that of White males (1,632 per 100,000 Hispanic males).
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Explore research on sentencing disparities related to defendant's sex, age, race, and ethnicity. Examine the perceived threats and 'punishment costs' associated with specific demographics in the criminal justice system. Understand how these factors influence incarceration likelihood.