YRM-30806 Research Methods and Data Analysis in Communication and Health

Course

Credits 6.00

Teaching methodContact hours
Lecture8
Tutorial20
Practical24
Independent study0
Course coordinator(s)dr. H Tobi
Lecturer(s)dr. H Tobi
ir. SLGE Burgers
dr. BC Mulder
dr. PA Tamas
Examiner(s)dr. H Tobi

Language of instruction:

English

Assumed knowledge on:

Dependent on educational background, a combination of two of the four courses: YRM-10306 Research Methods in the Social Sciences, HNH-24806 Epidemiology and Public Health, YRM-21806 Data Analysis for Health and Society, CPT-25306 Research Methods for Communication Sciences.
For students who did not take YRM-21806 a basic statistics course is required, such as MAT-14303 (Basic Statistics)  or both MAT-15303 (Statistics 1) ànd MAT-14303 (Statistics 2).

Contents:

Research into Communication, Health and Life Sciences addresses complex issues that involve multiple stakeholders. Usually, adequate research in the field requires contributions from different disciplines. The design of interdisciplinary research, good research conduct and research integrity are central to this course. A selection of types of research questions, appropriate study designs and data analysis techniques will be discussed in detail. These types of research questions are illustrated with published papers and work in progress. Analyses will be undertaken using real data in SPSS and Atlas.ti. Construction of a data analysis plan facilitates replicability and is fundamental to good research conduct. Students will learn how to design a data analysis plan that suits the research question, the study design, and the qualitative and/or quantitative data (to be) collected.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- understand the methodological aspects described in the MIR framework and their consequences for research design, execution and reporting;
- understand research ethics and research integrity, and the willingness to behave accordingly;
- understand why it is important to have a data analysis plan prior to gathering data in all research, but especially in the interdisciplinary study of complex problems;
- know when to use the following data analysis methods (as in appropriate for research question and data):
   - correlational analysis;
   - multiple linear regression;
   - explorative Factor Analysis and Reliability Analysis;
   - argumentation analysis;
   - thematic content analysis;
   - metaphor analysis.
- use SPSS and Atlas.ti as appropriate for the analyses mentioned above, and generate and interpret output;
- write a data analysis plan.

Activities:

- lecturers;
- tutorials;
- mandatory practicals;
- self-study.

Examination:

- 1 group assignment (20%);
- Written exam (80%).

To pass, both the assignment and the written exam require at least a 5.50. Also, all practicals need be attended,
Partial marks (the assignment and the grade for the exam respectively) are valid for two academic years.

Literature:

Annotation for transparent inquiry: https://qdr.syr.edu/ati/ati-instructions

Boréus, Kristina. (2017) Chapter 3: Argumentation analysis. Analyzing Text and Discourse. Sage Publications Ltd (UK)

Casimir, G. et al. (2018) Atlas.ti 8 manual

Fetter (2018). Six equations to help conceptualize the field of Mixed Methods. Journal of Mixed Methods Research 12: 262-267. DOI: 10.1177/1558689818779433. Available from http://journals.sagepub.com/doi/pdf/10.1177/1558689818779433

Field, A. Discovering statistics using IBM SPSS Statistics (2018, 5th edition).

Huberman, M., & Miles, M. B. (2002). Chapter 6: Intuitive data processing as a potential source of bias in Naturalistic Evaluation. The qualitative researcher's companion. Sage.

Miles, M. B., Huberman, A. M., & Saldana, J. (2013). Chapter 4: Fundamentals of qualitative data analysis. Qualitative data analysis a methods sourcebook. Sage.

Miles, M. B., Huberman, A. M., & Saldana, J. (2013). Chapter 5 - Designing Matrix and Network Displays. Qualitative data analysis a methods sourcebook. Sage. 

Ryan GW, Bernard HR. Techniques to Identify Themes. Field methods. 2003;15(1):85–109.

Tobi & Kampen (2018). Research design: the methodology for interdisciplinary research framework. Quality & Quantity 52:1209-1225. DOI 10.1007/s11135-017-0513-8. Available from https://rdcu.be/Lru1

Netherlands Code of Conduct for research Integrity (2018). Available for download at https://www.nwo.nl/en/policies/scientific+integrity+policy/netherlands+code+of+conduct+for+research+integrity

Declaration of Helsinki. Available from  https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/


ProgrammePhaseSpecializationPeriod
Compulsory for: MCHCommunication, Health and Life SciencesMSc2MO