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Juvenile Delinquency



California State University, Dominguez Hills
University of Wisconsin, Parkside
Latest update: April 14, 1999
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Lecture Notes on Exercise x6:
1988 Reanalysis of Glueck and Glueck



E-Mail Jeanne at jcurran@csudh.edu
Subject line: jjex5: family process vars as mediating structure
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The source for these materials is the Glueck and Glueck article in Juvenile Delinquency, pp. 117-136. Please try to answer in 25 words or less.

  1. The Glueck and Glueck article is from the 50s. What criticism does the Sampson and laub article make? p. 124, first paragraph?

    Sampson and laub suggest that the "data analysis was ill conceived." That means that other sociologists, looking at the Glueck and Glueck data, thought they could have organized or structured that data more effectively, and that, had they done so, they might have drawn different conclusions.

  2. What were Glueck and Glueck's conclusions about the role of the family in juvenile delinquency? pp. 124-5.

    Glueck and Glueck's conclusions on the role of the family were that the family plays a crucial role in delinquency patterns of delinquents.

  3. How did Sampson and Laub revise that conclusion after their secondary analysis of the Glueck and Glueck data? p. 127

    Sampson and Laub concluded that family factors affect the juvenile's behavior through the mediation of the parents' direct intervention and actions in parenting the juvenile. For example, primary factors were the consistency and level of violence in the parents's reactions to the child's misbehavior, and the parents' emotional acceptance of the child. These conclusions follow Travis Hirschi's theories on role of "child rearing practices." (p. 125)

  4. Why would we want to reanalyze old data in some of these juvenile justice studies?

    A reanalysis, or secondary analysis of data, provides an opportunity to use data that were valid and competently collected. The problem with older studies is that often theories and changing patterns of cultural understanding and of social justice give us a different approach to data decades after those data were collected. By reanalyzing the data, we preserve the intense and good work that went into their collection, and realize new opportunities to interpret their meaning.