Institutional review previewGraduate program information remains subject to final approval.
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Course catalog

Healthcare Management · Proposed course

Research Methods & Evidence-Based Practice

Course code
MHM 608
Credit hours
3
Program
MHM
Delivery
Hybrid/Online

Course description

Course overview

This course introduces students to research design, methodology, and statistical analysis within healthcare management contexts. Students will explore quantitative, qualitative, and mixed-methods research approaches used to inform evidence-based decision-making in healthcare organizations. Emphasis is placed on developing research proposals, conducting data analysis using statistical tools, and applying research findings to improve healthcare delivery and policy.

Course content is presented for institutional review and remains subject to approval and revision.

Academic focus

Course objectives

  1. 01

    Understand foundational research methodologies applicable to healthcare management.

  2. 02

    Develop research questions and hypotheses aligned with healthcare organizational challenges.

  3. 03

    Apply statistical tools to analyze and interpret healthcare data.

  4. 04

    Translate research evidence into actionable strategies for policy and practice improvement.

Learning outcomes

Upon completion

  1. CLO 1

    Design and evaluate healthcare research studies (maps to PLO 6, PLO 2).

  2. CLO 2

    Apply statistical methods and software tools to analyze healthcare data (maps to PLO 2, PLO 3).

  3. CLO 3

    Critically evaluate published research and apply findings to evidence-based management (maps to PLO 1, PLO 6).

  4. CLO 4

    Communicate research outcomes effectively through written and oral presentation (maps to PLO 7).

Proposed syllabus

Weekly course schedule

The sequence below reflects the current 15-week syllabus and remains subject to institutional review.

  1. Week 1

    Introduction to Research in Healthcare Management

  2. Week 2

    Research Design: Quantitative, Qualitative, and Mixed Methods

  3. Week 3

    Developing Research Questions and Hypotheses

  4. Week 4

    Sampling Methods and Data Collection Techniques

  5. Week 5

    Measurement, Validity, and Reliability

  6. Week 6

    Descriptive and Inferential Statistics Overview

  7. Week 7

    Using Statistical Software (SPSS, R, or Python)

  8. Week 8

    Midterm Exam and Proposal Workshop

  9. Week 9

    Survey Design and Data Analysis

  10. Week 10

    Qualitative Data Analysis and Coding Techniques

  11. Week 11

    Systematic Reviews and Evidence-Based Practice

  12. Week 12

    Ethics in Research and IRB Requirements

  13. Week 13

    Presentation of Research Findings

  14. Week 14

    Final Research Project Presentations

  15. Week 15

    Final Exam and Reflection

Evaluation

Assessment and grading

  • Research Proposal – 25%
  • Midterm Exam – 20%
  • Final Exam – 20%
  • Data Analysis Assignment – 20%
  • Participation and Discussions – 15%
A = 90–100%B = 80–89%C = 70–79%F = Below 70%

Course resources

Required texts and materials

  • Houser, J. (2022). Nursing research: Reading, using, and creating evidence (6th ed.). Jones & Bartlett Learning.
  • Additional readings, datasets, and research examples will be provided through the course LMS. Students will use statistical software such as SPSS, R, or Python for analysis.