HEL-8017 Quantitative Method in Clinical Health Research - 5 stp

The course will address quantitative research and problems related to core thinking, characterizing and diagnosing, treatment/prevention and health services within psychiatric healthcare.

The course will be carried out as four seminars (two in the autumn and two in the spring) where the theme will be (a) diagnosis and psychometrics, including a transcultural perspective, (b) research in treatment (effect- and efficacy research), (c) translation research, (d) implementation research and user effects.

As part of professional development the student shall present a draft on an article, or part of an article from their own project (trial defense) and be an opponent to another person¿s research. The student shall submit their written contribution before the meeting

Mandatory prerequisites:

Enroled in a PhD programme

Recommended prerequisites:

Basic knowledge from HEL-8012 (Introductory course in qualitative methods) or an equivalent course at a graduate level (PhD level) from another univerity.

For information about how to apply for admission, go to:

http://uit.no/helsefak/forskning/phd/emner

• Recognize and be able to evaluate the purpose of various methods and designs that are employed within research in mental health.
• Establish which research questions can be evaluated by which research methods.
• Have knowledge about, and be able to design quantitative clinical studies, including effectiveness studies and efficacy studies.
• Have knowledge about implementing clinical interventions and in relation to research.
• Identify ethical and practical problems related to research in vulnerable groups.

Assigments:

Obligatory attendance to at least 3 of 4 meetings. Active participation during a trial defense and being an opponent of at least one person's trial defense.

Examination and evaluation:

Oral presentation of a project plan and a written submission of handouts.

Approved trial defense

Continuous examination:

In the event of not having completed (pass) requirements during the usual study period, an opportunity to meet the (pass) requirements will be given in the subsequent semesters through submission and participation.

Examination language: English/Norwegian

Recommended readings:

Mark W. Lipsey and David B. Wilson. Practical Meta-Analysis. (2001). Thousand Oaks, CA: Sage.

Martinussen, M. (2010). Kap 8 meta-analyse. I M. Martinussen (red.) Kvantitativ metodologi i samfunns- og helsefag. Bergen: Fagbokforlaget

Geiser, C. (2012). Data analysis with Mplus. Guilford Publications.

Geiser, C., & Crayen, C. (2011). Advanced multivariate data analysis with Mplus. VS Verlag für Sozialwissenschaften in GWV Fachverlage GmbH.

Byrne, B. M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.

Shadish, W.R., Cook, T.D., & Campbell, D. T. (2004). Experimental and quasi-experimental designs for generalized causal inference. New York: Houghton Mifflin Company

Articles:

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.

Schafer, J. L., & Graham, J. W. (2002). Missing data: our view of the state of the art. Psychological methods, 7(2), 147.

McDonald, R. P., & Ho, M. H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological methods, 7(1), 64.

Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323-338.

MacCallum, R. C., Wegener, D. T., Uchino, B. N., & Fabrigar, L. R. (1993). The problem of equivalent models in applications of covariance structure analysis. Psychological bulletin, 114(1), 185.