Linear mixed modeling of treatment/intervention studies

CONTENTS

The course deals with modern approaches for modeling treatment effects in multi-wave treatment/intervention studies.  The course highlights key dilemmas and data analytic decisions from a user perspective.

 

OBJECTIVES

To provide a learning situation where participants gain experience with data management, key analytic decisions, and proper interpretations of results from longitudinal treatment/intervention studies.

 

ECTs

Completed course provides 1 ects

 

LEARNING REQUIREMENTS

Expected learning outcomes for participants include:

• Knowledge about main approaches to treatment/intervention studies, including underlying data assumptions, and practical implementation of these approaches.
• Skills to manage data in suitable form for longitudinal analysis.
• Skills to produce an analysis plan that correspond to relevant research questions
• Skills to interpret results from analysis of treatment studies
• Rudimentary skills in conducting longitudinal data analysis on multi-wave data

 

REQUIRED PREREQUISITES

Completion of Norwegian degrees as a psychologist (or equivalent education) and entry into a PhD program.

 

DESCRIPTION OF LEARNING MATERIALS AND MEDIA

A list of recommended literature will be circulated prior to the course.

A number of software tools (SPSS, STATA, R MPLUS) will be demonstrated during the workshops, but the assumption is that participants use SPSS as their primary working platform. Participants are encouraged to bring their laptop to replicate demonstrations etc.

  

TEACHING SEMESTER

Fall 2011 (21-22-23 November)

 

LANGUAGE 

Norwegian

 

TEACHING METHODS

The course will be structured as a series of three conceptually related workshops, each covering a topical area.

Session 1 Monday 21 Nov 10.15-15.00

Linear mixed models of treatment/intervention effects

Session 2 Tuesday 22 Nov 10.15-15.00

Multilevel model of change in treatment/intervention studies

Session 3 Wednesday 23 Nov 10.15-15.00

The complete workflow of longitudinal data analysis: Case studies

 

The workshops include analysis of didactic data sets, but participants are encouraged to bring in their own datasets to workshops

 

TUTORIAL REGISTRATION

The candidates need to sign up for the course 30 days in advance. The maximum number of participants is 15.

 

COMPULSORY ACTIVITIES

Participants need to attend 80 % of the allocated time.

 

COURSE LITERATURE

No mandatory literature, but a list of recommended literature will be provided.  

 

EVALUATION

Evaluation of attendance at seminar meetings and completed reading of course materials

 

ASSESSMENT/EXAMINATION

Analysis and interpretation of data-case delivered to the participants after the last day of the course, to be completed within two weeks after the course.

 

LECTURER AND COURSE COORDINATOR

Associate Professor Torbjørn Torsheim

 

CONTACT PERSON

Associate Professor Torbjørn Torsheim (torbjoern.torsheim@psych.uib.no)

Higher executive officer Sigrun Harneshaug (sigrun.harneshaug@psysp.uib.no)