Quantitative method (narrated) - Tagged

Quantitative Method

• Course Information

  • University of Cumbria

  • Course Code: HRBP5215

  • Session: 0000

Learning Outcomes

• Understand key concepts of research design and methodology.

• Discuss the difference between methodology and method.

• Identify the key stages in developing a research method.

Method vs Methodology

• Methodology:

  • Refers to the overarching design of the research (e.g., Quantitative or Qualitative).

• Method:

  • Refers to the specific techniques used for data collection (e.g., experiment or survey).

  • Includes the stages in executing the research.

• Proposal Elements:

  • What you intend to do.

  • How you intend to do it.

  • Why you intend to do it.

Key Stages in Developing a Method

1. Sample and Recruitment:

   • Identify who the participants will be and the recruitment methods to use.

2. Measures:

   • Determine what data will be collected and the collection method.

3. Procedure:

   • Outline how the study will be executed in a step-by-step manner.

4. Quality / Rigour of Research:

   • Assess the overall robustness and validity of the research.

5. Data Analysis:

   • Outline how data will be analyzed post-collection.

6. Ethical Considerations:

   • Ensure ethical standards are upheld throughout the research process.

Sample Type and Size

• Sampling Methods:

  • Convenience or Random sampling methods may be employed.

• Inclusion / Exclusion Criteria:

  • Define what qualifies participants for inclusion or exclusion from the study.

• Recruitment Strategy:

  • Establish methods for how participants will be recruited.

• Sample Size Considerations:

  • Depends on the target population; larger samples typically yield better representation.

  • A good proposal would suggest an ideal sample number:

    • Experiments: ideally around 30 participants.

    • Surveys: typically require 50 – 100 respondents.

Measures

• What to Measure:

  • Specify the variables and elements of interest.

• How to Measure:

  • Determine methods (instruments or equipment) for measuring the data.

• Validity:

  • Assess how well the measure reflects what it is intended to measure.

• Reliability:

  • Evaluate the consistency and repeatability of the measurements.

Procedure

• A detailed, step-by-step description of the data collection process:

  • It should be comprehensive enough for another researcher to replicate.

  • Include visual aids like pictures or flowcharts to clarify procedures.

Recommended Reading

• Title: Nursing and Healthcare Research at a Glance

  • Edited by: Alan Glasper and Colin Rees

  • Publisher: John Wiley & Sons, Incorporated, 2016

  • Source: ProQuest Ebook Central link

  • Focuses on Part 2: Quantitative Research.