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Social Development Theories and Glueck's Theory of Juvenile Delinquency
Criminology · Chapter 9: Developmental and Life-Course TheoriesSection 9.1 · lesson 35 of 91video coming soon
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In this lesson
How offending changes across a life, and what longitudinal data can show.
- Explain what distinguishes a developmental explanation from a static one.
- Describe the Glueck research and its contribution.
- Explain the risk and protective factor framework.
- Explain the prediction problem and its policy implications.
Transcript
Everything said in the video, section by section (1,547 words). Read along, or search it.
Opening Question
Following Lives, Not Snapshots
Here is a snapshot: two fifteen-year-olds, one in trouble, one not. A static theory asks what sets them apart, right now. But a different question might matter more. What will each of them be doing at twenty-five, and at forty? Following lives, not snapshots, is what this chapter is about.
Lesson Roadmap
What This Chapter Will Cover
This chapter turns to developmental and life-course theories of crime. They ask not just who offends, but how offending unfolds over the span of a life. In this lesson, you will learn what separates a developmental explanation from a static one. You will meet the four parameters of a criminal career, and see why each needs separate measurement. You will study the Glueck research, a foundational longitudinal program, along with its criticisms. Then you will learn the risk and protective factor framework, and the limits on using it. The most important limit is the prediction problem. By the end, you should be able to explain why this tradition favors early, broad prevention over late targeting.
Key Contrast
Static Versus Developmental Questions
A static theory asks what distinguishes people who offend from people who do not. It asks that question at a single point in time. A developmental theory asks something different. How does a person's involvement in offending change across the span of a life? And what accounts for its onset, its persistence, and its eventual desistance? That is a question about change within a person, not differences between people. The shift is more than a change in emphasis, because it requires different data, and different research designs. It also produces different kinds of findings than the static theories examined in Chapters six and seven. Keep that contrast in view, because each theory in this chapter answers the developmental question.
Definition
Four Parameters of a Criminal Career
Developmental researchers break a criminal career into four separate parameters. A criminal career here simply means the pattern of offending across a person's life. Onset is the age at which offending begins. Frequency is how often offending occurs, and seriousness is how severe the conduct is. Duration is how long the pattern continues. Why insist on separating them? Because a single, undifferentiated measure of offending hides important findings. A factor that predicts early onset does not necessarily predict high frequency. And a factor associated with serious offending does not necessarily predict how long the pattern will last. Each parameter can be influenced by different factors, so each requires its own measurement.
Core Fact
The Age-Crime Curve Must Be Explained
Every developmental theory must account for one central fact, the age-crime curve, established in Subchapter four point one. For most people, involvement in offending rises sharply in adolescence and declines through adulthood. A developmental theory is judged partly by how well it explains that shape. Merely describing that the curve exists is not enough.
Research Design
Why Longitudinal Data Is Needed
Answering developmental questions also demands a particular kind of data. Cross-sectional data, collected from different people at a single point in time, cannot do it. Such data cannot show how any one individual's offending changes. Developmental questions require longitudinal design, following the same individuals repeatedly across time. Then onset, persistence, and desistance can be observed directly within the same lives. They no longer have to be inferred by comparing different age groups to one another.
Quick Check
Can One Survey Show Cause?
Before moving on, consider what a single snapshot can show. Quick check. A single survey links two variables, measured at one moment. Can it show that one causes the other? Pause, and decide.
Answer
Unknown Timing Blocks Causal Claims
No. A single cross-sectional survey can't establish cause, because the timing is unknown.
Foundational Study
The Gluecks' Longitudinal Research Program
The Glueck research was conducted by Sheldon and Eleanor Glueck. It is a historical longitudinal research program, and a foundational one for this tradition. The program followed a sample of youth, matched between a delinquent group and a non-delinquent group. What set it apart was the unusually broad range of measures it collected. Those measures covered family life, school, and personal characteristics. The program also had a long follow-up period, tracking the young people well beyond their youth. Together, that breadth and length made something new possible. Researchers could examine which factors, measured early, distinguished the two groups' later life trajectories. That question, what early differences predict later paths, sits at the heart of developmental criminology.
Criticisms
Matching, Official Records, and Reanalysis
The Glueck research has drawn methodological criticism, both at the time and since. The first criticism concerns its matching strategy, the method used to pair delinquent and non-delinquent youth. Matching on selected characteristics may have hidden other relevant differences between the groups. The second concerns its reliance on official records. Those records reflect recording and enforcement decisions, discussed in Subchapter three point two, and are not a direct measure of underlying conduct. These criticisms are stated fairly, as part of evaluating the program's contribution. They are not reasons to dismiss it. In fact, the original data were later located and reanalyzed, using methods unavailable at the time. That reanalysis extended the follow-up into the subjects' later adult lives. It proved so important that Subchapter nine point two treats it separately.
Framework
Risk and Protective Factors Explained
The risk and protective factor framework organizes developmental findings around statistical associations. A risk factor is associated with a higher likelihood of offending. A protective factor is associated with a lower likelihood. Sometimes it offsets a specific risk factor directly, and sometimes it has a more general effect. The crucial caution is that a risk factor is not automatically a cause. Establishing cause requires temporal order, evidence that the factor was present before the outcome it predicts. It also requires the same cautions about confounding introduced in Subchapter four point one. One consistent finding within this framework is called cumulative risk. The likelihood of later offending rises with the number of risk factors a person is exposed to. It depends much less on which specific factors are present.
Examples
School, Parenting, and Peer Risk Factors
Here are six risk factors, three now and three next, each with its evidence for temporal order, and how modifiable it is. Early and persistent difficulty with school conduct is measured well before later offending, and school-based support can modify it. Harsh or inconsistent parental supervision is measured in childhood, and family-support programs can address it. Association with already delinquent peers is the contested case. It may precede a youth's own conduct, or follow it, and it is only partially modifiable through structured activities.
Examples Continued
Neighborhood, Self-Control, and Family Conflict
Concentrated neighborhood disadvantage typically precedes individual outcomes, but it changes only through structural, longer-term investment. Low measured self-control in early childhood precedes adolescent outcomes, though its modifiability is debated. Exposure to family conflict or instability is measured in childhood, and family services can address it. Notice that strong temporal evidence and easy modifiability do not always come together.
Key Limit
The Individual Prediction Problem
Risk factors work at the group level, but they perform poorly for predicting any single person's future conduct. Subchapters six point three and six point seven discussed this same individual-prediction limit. Most people who carry several risk factors do not go on to persistent serious offending. So a prediction tool built on group-level association will misclassify a substantial share of individuals. It errs in both directions, flagging some who would never offend and missing some who will. Acting on such a prediction has real consequences. Imagine subjecting a flagged young person to intensive supervision. If the prediction is wrong, that intervention carries a genuine ethical cost. And at the individual level, the prediction frequently will be wrong.
Policy Implication
Why Early, Broad Prevention Is Favored
Given the prediction problem, the developmental tradition generally favors a particular style of policy. That policy is early, sustained, and general. It reaches broad populations before risk has had time to accumulate. The alternative is policy that is targeted and late. Late policy tries to identify specific individuals, and intervene only after their risk factors have compounded. The tradition's preference follows directly from its own evidence. If individual prediction is unreliable, then a strategy that depends on it inherits that unreliability. A universal approach sidesteps the problem, because it never has to guess who will offend.
Applied Scenario
Targeted Versus Universal Program Budget
Consider a composite prevention service working with a fixed budget. It must choose between two programs. One targets a small group of children already flagged with multiple risk factors. The other is a universal program, available to an entire school population regardless of individual risk. The targeted program has a more visible focus, which can make it seem more efficient. But it rests on poor individual-level prediction accuracy. The universal program reaches far more children, including many who were never at elevated risk. The service's task is to weigh these trade-offs honestly. Might the universal program's broader reach achieve more total benefit, despite its apparent waste? The developmental evidence suggests that question deserves a serious answer, not an assumption.
Quick Check
Identify the Research Design
Now try it in reverse, with a new case. A team interviews the same four hundred children every two years, from age six to thirty. Which research design is that? Pause, and decide.
Answer
Longitudinal Design and Its Limit
Longitudinal design: repeated measures of the same people over time, which links early risk factors to later outcomes. And remember the limit: those links misclassify individuals in either direction.
Key Takeaways
Developmental Theory in Review
To recap. Developmental theory asks how offending changes across a life, measured by onset, frequency, seriousness, and duration. Longitudinal data answers that, and the Glueck research began it. Risk factors are associations, not automatic causes, and they predict poorly for individuals. So prevention should be early, sustained, and broad. Subchapter nine point two turns to the reanalysis of the Glueck archive, and the age-graded theory it produced.
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