After decades of almost exclusive sociological focus, criminology has undergone a paradigm shift where the field is more interdisciplinary and this book combines perspectives from criminology and sociology with contributions from fields such as genetics, neuropsychology, and evolutionary psychology.
Since the mapping of the human genome, scientists have been able to study the biosocial causes of human behaviour with the greatest specificity. This is how we’ll formally assess what you have learned in this module.Biosocial criminology is an interdisciplinary field that aims to explain crime and antisocial behavior by exploring both biological factors and environmental factors. Multilevel analysis: Techniques and application. Structural equation modeling with AMOS: Basic concepts,Īpplications, and programming. Principles and practice of structural equation modeling. This is available through ISS – it is packaged with
ROUTLEDGE SPSS 23 INSTALL
You will need to download and install AMOS 21. Supplemental chapters and articles will be available on Blackboard. In addition to the listed readings, a Blackboard site will be maintained throughout the semester. Resources & Reading list General Resourcesīlackboard. The problem sets are based on practical exercises that correspond to the material being covered at the time. Assessment is based on two problem sets completed throughout the semester (50% each). In addition to providing students with direct practical experience in the application of relevant statistical techniques, these exercises will help students prepare their answers to the problem sets.
The practical exercises will focus on data analysis, primarily using SPSS and AMOS. Multilevel Multivariate Models Aims and Objectives Learning and Teaching Learning and Teaching Teaching and learning methodsĮach 2-hour weekly session is a combination of lecture and hands-on practical application. be able to interpret output from such analysesīootstrapping, Non-Normality, & Missing Data
ROUTLEDGE SPSS 23 SOFTWARE
be able to perform these techniques using appropriate software
The first half focuses on Structural Equation Models, covering Path Analysis, Confirmatory Factor Analysis, Structural Equation Modelling, Multigroup Models and Latent Mean Structures. This module is divided into two components that focus on cutting-edge statistical techniques. Module overview Aims and Objectives Syllabus Learning and Teaching Assessment Module overview