SUBJECT

Title

Quantitative and Qualitative Methods in Addiction Research: Individual Behavior in Social and Environmental Context

Code

DPSY16-ADD-103:2

Type of instruction

practice

Level

Doctoral

Faculty

Faculty of Education and Psychology

Part of degree program

Doctoral School of Psychology

Credits

Recommended in

Semester 1-4

Typically offered in

Autumn/Spring semester

Course description

In social sciences, researchers are often confronted with nested data structures, which is the case, for example, in diary studies when daily or situational assessments are nested within individuals, or in survey research, when students are nested within classrooms or faculties within schools or universities or when employees are nested within departments or working groups with companies or organizations. Moreover, these school, universities, companies, and organizations themselves are clustered within regions, countries, and continents. The present lecture will provide an introduction in the characteristics of nested data structures and their properties. It will deal with ways to describe the magnitude of clustering and to adjust for sampling design effects in (regression) analyses. Furthermore, innovative analytic techniques will be presented and ways to use inter-individual characteristics to explain intra-individual relationships.

Readings

entire chapter 1: http://www.statmodel.com/download/usersguide/Chapter1.pdf
entire chapter 2: http://www.statmodel.com/download/usersguide/Chapter2.pdf
chapter 3 up to page 23: http://www.statmodel.com/download/usersguide/Chapter3.pdf