The word research is a combination of the prefix "re" (do again) and the root word "search" (to seek, explore, and investigate).
What is the aim of research?
The aim of research is to produce new knowledge or information, utilize new knowledge, validate existing knowledge, and improve the investigator/researcher.
What is quantitative research?
Quantitative research is essentially about collecting numerical data to explain a particular phenomenon through systematic scientific analysis.
What types of questions does quantitative research answer?
Quantitative research often answers the "what" and "how many/much" questions through measuring or counting attributes.
What are the strengths of quantitative research?
The strengths of quantitative research include faster data collection, ease of data analysis using statistical software, more objective results, random sampling, replicability, and reusable instruments.
What are the weaknesses of quantitative research?
The weaknesses of quantitative research include technical aspects that may be difficult for average readers, focus on statistical significance instead of other factors, reliance on self-reported data which may be biased, and limited interpretation with numeric representations.
What is the purpose of acquiring up-to-date and relevant information in research?
The purpose is to ensure the most updated and relevant information is used to support research findings.
Why is it important to apply knowledge acquired through research?
It is important to apply knowledge to prevent it from remaining stagnant and to maximize its benefits.
Why is validation of existing knowledge necessary in research?
Validation of existing knowledge is necessary to establish credibility and reliability.
What does quantitative design focus on in research?
Quantitative design focuses on collecting numerical data and analyzing their relationships in a systematic manner.
What makes data collection in quantitative research relatively faster and easier?
Data collection in quantitative research is faster and easier due to the use of statistical software and measurement/counting methods.
What contributes to the objectivity of results in quantitative research?
The use of random sampling and the independence of samples from researchers contribute to the objectivity of results in quantitative research.
What limitation does quantitative research have in terms of data interpretation?
Quantitative research mainly provides numeric interpretations, lacking detailed narrative accounts of individual insights.
What type of data is predominantly used in quantitative research?
Quantitative research primarily relies on numerical data.
What are the possible biases in self-reported data used in quantitative research?
Self-reported data in quantitative research may be biased due to social desirability and memory errors.