Which of the following represents a quantitative research design?
In the realm of research methodologies, quantitative research design stands out as a systematic approach that utilizes numerical data to analyze and interpret phenomena. This method is widely employed across various disciplines, including psychology, sociology, economics, and the natural sciences. Understanding the characteristics of a quantitative research design is crucial for researchers to effectively conduct studies and draw meaningful conclusions.
In this article, we will explore different research scenarios and identify the one that exemplifies a quantitative research design. By doing so, we will gain insights into the key features and advantages of this method, as well as its limitations and potential applications.
The following scenarios are presented for your consideration:
1. A psychologist conducts an experiment to test the effectiveness of a new therapy on reducing anxiety levels in patients.
2. A sociologist surveys a random sample of individuals to examine the relationship between income and social mobility.
3. An economist analyzes historical data to predict future economic trends.
4. A biologist observes and records the growth patterns of a specific species in a controlled environment.
Let’s delve into each scenario to determine which one represents a quantitative research design.
