Questions: Question 13 (1 point)
Which method of researcher allow researchers to gather data from larger samples
Survey
Clinical Research
Longitudinal
Naturalistic Observation
Transcript text: Question 13 (1 point)
Which method of researcher allow researchers to gather data from larger samples
Survey
Clinical Research
Longitudinal
Naturalistic Observation
Solution
The answer is: Survey
Explanation for each option:
Survey: Surveys are a method that allows researchers to gather data from large samples efficiently. They can be distributed widely through various means such as online platforms, mail, or in-person, making it possible to collect data from a large number of participants in a relatively short amount of time. Surveys can include a variety of question types, such as multiple-choice, Likert scales, and open-ended questions, which can provide both quantitative and qualitative data.
Clinical Research: Clinical research typically involves detailed and in-depth study of individuals or small groups, often in a medical or therapeutic setting. This method is not designed for gathering data from large samples because it focuses on the detailed examination of specific cases, often requiring significant time and resources per participant.
Longitudinal: Longitudinal studies involve repeated observations of the same variables over long periods of time, often years or even decades. While they can provide valuable insights into changes and developments over time, they are not typically used to gather data from large samples quickly due to the extended duration and intensive resource requirements.
Naturalistic Observation: Naturalistic observation involves observing subjects in their natural environment without interference. This method is useful for gathering detailed and context-rich data but is generally limited to smaller sample sizes because it requires significant time and effort to observe and record behaviors accurately.
In summary, surveys are the most effective method for researchers to gather data from larger samples due to their scalability and efficiency.