Quantitative Research Summary

INTRODUCTION TO QUANTITATIVE RESEARCH

• Overview of quantitative research:
  • Uses scientifically collected and statistically analyzed data.
  • Investigates observable phenomena through numerical data.
  • Presented by Dave Reyes.

QUANTITATIVE RESEARCH

1. Scientific Approach

   • Uses scientific methods for designing and collecting numeric data to study phenomena.

2. Numerical Data

   • Generally easier to collect than qualitative descriptions, facilitating research.

3. Investigates Observable Phenomena

   • Focus on measurable, observable facts and data.

CHARACTERISTICS OF QUANTITATIVE RESEARCH

1. Large Sample Size

   • More meaningful statistical results arise from larger sample sizes.

2. Objective

   • Data gathering and analysis are conducted accurately and objectively, unaffected by researcher bias.

3. Visual Result Presentation

   • Numerical data enables presentation through graphs, charts, and tables for clearer interpretation.

4. Faster Data Analysis

   • Statistical tools facilitate less time-consuming data analysis.

5. Generalized Data

   • Data from samples can represent larger populations if sufficiently large and randomly selected.

6. Fast Data Collection

   • Standardized research instruments allow for efficient data gathering from large sample sizes.

7. Reliable Data

   • Objectively gathered data enhances credibility and reliability for policymaking and decisions.

8. Replication

   • Quantitative methods can be repeated, verifying findings and enhancing validity.

BOON AND BANE

Strengths

• High objectivity and replicability.
• Enables conclusive establishment of cause and effect.
• Facilitates fast and easy data analysis using statistical software.

Weaknesses

• Lacks Comprehensive Explanation
  • Cannot explain human experiences encompassing feelings and beliefs through numerical data.
• Participant Limitations
  • Respondents have restricted choices leading to potential inaccuracies in responses.