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Module Code - Title:

BM6051 - PUBLIC HEALTH RESEARCH AND DATA ANALYSIS

Year Last Offered:

2025/6

Hours Per Week:

Lecture

3

Lab

1

Tutorial

3

Other

4

Private

4

Credits

9

Grading Type:

N

Prerequisite Modules:

BM6051

Rationale and Purpose of the Module:

The purpose of this module is to develop students' understanding and competencies in research process including formulating the research question, research design and methodology (quantitative, qualitative and mixed methods), ethical considerations, data collection and analysis, drawing conclusions from data and presenting research findings. Students will learn how to critically appraise existing evidence and data sources in public health research and apply practical skills in statistical and epidemiological methods, using appropriate software. Students will identify a gap in public health research, formulate their research question/s and design a research project.

Syllabus:

This module will cover the following contents areas: Epidemiological methods, Biostatistical methods, Qualitative research methods, Survey methods, Ethics.

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

On successful completion of this module, students will be able to: - apply epidemiological methods to the breadth of settings and situations in public health practice - apply design a qualitative, quantitative, mixed methods, or evaluation research study to address a public health issue - apply analyse quantitative and qualitative data using computer-based programming and software, as appropriate - interpret results of data analysis for public health research, policy or practice - Demonstrate an appreciation of the legal and ethical frameworks in which public health research and data analysis occur - Develop a research study proposal with associated ethics application

Affective (Attitudes and Values)

On successful completion of this module, students will be able to: - Justify research proposals and research methodological approach. - Demonstrate a recognition of the strengths and weakness of quantitative and qualitative research methods. - Demonstrate an appreciation of the ethical issues pertinent in public health research

Psychomotor (Physical Skills)

Not applicable

How the Module will be Taught and what will be the Learning Experiences of the Students:

This is a five weeks competency-based module. It will be delivered on campus through a mix of case studies, face-to-face lectures, classroom-based workshops, computer laboratory sessions, teamwork projects, and individual projects. Students will engage with fellow learners and tutors in classroom-based workshops and group assignments. This module will also include computer laboratory sessions to develop practical skills for data visualization and analysis using real-world datasets, integrating real data and using technology to explore concepts and analyse data. Students will identify a gap in public health research, formulate their research question/s and design a research project. The plurality of disciplinary backgrounds and nationalities/cultural backgrounds of lecturers and students, as well as the participatory learning approach employed during workshops and tutorials will enable the implementation of a flexible, inclusive, active, and applied teaching and learning approach. The learning experience will be technology-enhanced using Brightspace and various software packages and tools (R, Endnote, PowerPoint...). Major focus will be placed into the provision of specific feedback to students to foster a flexible and agile learning experience through ongoing reflection of strong points and areas where improvement is needed.

Research Findings Incorporated in to the Syllabus (If Relevant):

Prime Texts:

Judith Green, Nicki Thorogood (2013) Qualitative Methods for Health Research , SAGE
Greg Guest, Emily E. Namey (2014) Public Health Research Methods , SAGE
Leiyu Shi (2007) Health Services Research Methods , Cengage Learning
Jessica M. Utts (2014) Seeing through Statistics , Cengage Learning

Other Relevant Texts:

Patricia Bazeley, Kristi Jackson (2013) Qualitative Data Analysis with NVivo , SAGE
Rachad Antonius (2012) Interpreting quantitative data with IBM SPSS Statistics , SAGE
A. T Panter, Sonya K Sterba (2011) Handbook of ethics in quantitative methodology , Taylor & Francis
John W. Creswell (2014) • Research design: Quantitative, qualitative, and mixed methods approaches , SAGE

Programme(s) in which this Module is Offered:

MSPUHETFA - PUBLIC HEALTH
MSPUHETPA - PUBLIC HEALTH

Semester(s) Module is Offered:

Autumn

Module Leader:

amir.jalali@ul.ie