You are here

Application of Hierarchical Generalized Linear Modeling (HGLM) Techniques for Investigation into the Effects of Comingling Delinquent and Non-Delinquent Youth in Juvenile Justice Prevention Programs in Florida

Title: An Application of Hierarchical Generalized Linear Modeling (HGLM) Techniques for Investigation into the Effects of Comingling Delinquent and Non-Delinquent Youth in Juvenile Justice Prevention Programs in Florida.
59 views
10 downloads
Name(s): Gaitanis, Jason, author
Tate, Richard, professor directing thesis
Oosterhof, Albert, committee member
Kamata, Akihito, committee member
Department of Educational Psychology and Learning Systems, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2003
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Current literature in the social sciences largely ignores important nested data structures when seeking to explain or interpret effects of independent variables on outcomes of interest. This is particularly true when the outcome of interest is dichotomous. A set of demonstration data is analyzed using HGLM software, and a set-by-step description of the procedure is presented. Appropriate interpretations of results and program output are illustrated. Some conclusions regarding the demonstration data within a juvenile justice prevention context are also discussed.
Identifier: FSU_migr_etd-4419 (IID)
Submitted Note: A Thesis submitted to the Department of Educational Psychology and Learning Systems in partial fulfillment of the requirements for the degree of Master of Science.
Degree Awarded: Fall Semester, 2003.
Date of Defense: November 5, 2003.
Keywords: Delinquency Prevention, Juvenile Justice, Florida, Hierarchical Generalized Linear Modeling, Hglm, Co-Mingling
Bibliography Note: Includes bibliographical references.
Advisory Committee: Richard Tate, Professor Directing Thesis; Albert Oosterhof, Committee Member; Akihito Kamata, Committee Member.
Subject(s): Educational psychology
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_migr_etd-4419
Host Institution: FSU

Choose the citation style.
Gaitanis, J. (2003). An Application of Hierarchical Generalized Linear Modeling (HGLM) Techniques for Investigation into the Effects of Comingling Delinquent and Non-Delinquent Youth in Juvenile Justice Prevention Programs in Florida. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-4419