Quantitative Research Overview

Questions and Answers

It explores understanding through subjective experiences.

It utilizes numerical data and statistical analysis. (correct)

It emphasizes detailed case studies with fewer participants.

It focuses on narrative data and personal anecdotes.

It aims for objective measurement and analysis.

It gathers data primarily through interviews and observations. (correct)

It relies on large sample sizes for generalizability.

It employs structured tools for data collection.

It provides data that can be easily compared and analyzed. (correct)

It generates findings based on small, qualitative samples.

It allows for in-depth understanding of individual experiences.

It facilitates flexible adaptations during the research process.

<p>It may overlook the context and complexity of human behavior.</p> Signup and view all the answers

<p>When exploring detailed perceptions about a newly designed product.</p> Signup and view all the answers

Study Notes

Quantitative research is a systematic investigation that primarily focuses on quantifying data and phenomena, often employing statistical, mathematical, or computational techniques to derive results.

Utilizes structured instruments like surveys and questionnaires to gather numerical data.
Emphasizes objectivity and the use of statistical methods to analyze data, ensuring replicability of results.
Frequently employs large sample sizes to enhance the validity and reliability of findings.
Results are presented in quantifiable terms, such as percentages, averages, and correlations.
It typically tests hypotheses, establishing relationships and differences between variables through methods like experimental designs.

Strengths include the ability to analyze large datasets, enabling researchers to identify trends and patterns. The use of statistical analysis enhances credibility through objective results. It's also efficient for testing hypotheses and can be generalized across populations when samples are representative.
Weaknesses include potential oversimplification of complex social phenomena, as it may ignore contextual factors. It can lack depth in understanding participants' perspectives and experiences, making it less suitable for exploratory research. Additionally, reliance on instruments may introduce bias if not properly designed or administered.