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.

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