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Level 7 Diploma in Health and Social Care Management

Quantitative Healthcare Data Analysis

HSC706 · Research Methods for Healthcare Professionals — Week 9 of 16

CourseHSC706
Week9 of 16
SemesterII
TutorOnline in the course chat

This week’s topics

Quantitative Healthcare Data Analysis

  1. Descriptive statistics and measures of dispersion
  2. Inferential testing using parametric and non-parametric tests
  3. Correlation and multiple regression
  4. Interpreting statistical significance and p-values
  5. Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)
  6. Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis
  7. Multiple Regression for beginners
  8. Public Health 250A - Lecture 30: Interpreting Tests of Stati
  9. Public Health 250A - Lecture 32: Interpreting Tests of Stati

What you will be able to do

  • 4.2 Analyse data using appropriate approaches.

Activity

Start with this week’s 5 videos, then: Seminar, guided reading and a short written task: analyse data using appropriate approaches.

Study materials

Videos

  • Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples) · YouTube · Grad Coach · 28 min · for registered students
  • Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis · YouTube · Grad Coach · 13 min · for registered students
  • Multiple Regression for beginners · YouTube · Global Health with Greg Martin · 28 min · for registered students

Further resources

  • Research Methods in Psychology, ch. 13: Inferential Statistics · PDF · Saylor Academy, textbook chapter; pp. 342–377 · for registered students
  • Principles of Data Science, ch. 4: Inferential Statistics and Regression Analysis · PDF · OpenStax, textbook chapter; pp. 155–222 · for registered students
  • Learning Statistics with R (Navarro, v0.7.1), ch. 11: Hypothesis testing · PDF · Other, textbook chapter; pp. 439–469 · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
Course chat

Admitted students ask questions on this week’s page in the student portal: an AI assistant trained on the course answers first, and during the course’s timetabled classes Connect to your tutor brings your tutor into the chat, who may start a call if needed.

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Course plan
  • Week 1: Foundations of Healthcare Research and Evidence
  • Week 2: Critical Appraisal of Health and Social Care Literature
  • Week 3: Research Philosophies in Health Sciences
  • Week 4: Methodological Approaches and Study Designs
  • Week 5: Research Ethics and Governance in Care Environments
  • Week 6: Formulating the Research Proposal
  • Week 7: Data Types, Sampling, and Collection Strategies
  • Midterm: Midterm evaluation
  • Week 9: Quantitative Healthcare Data Analysis
  • Week 10: Qualitative Analysis and Data Synthesis
  • Week 11: Evidence-Based Decision-Making and Practice Translation
  • Week 12: Applying Research Methods for Healthcare Professionals in p…
  • Week 13: Assignment workshop: research, planning and referencing
  • Week 14: Assignment workshop: drafting, feedback and improvement
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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