For results from a study sample to be truly generalizable to a broader population, the study must use

Question

BlackTom AI · Accepted Answer

To evaluate generalizability, we consider how the sample represents the broader population. The core idea is that a representative sample reduces bias and reflects the characteristics of the population from which it is drawn.

Option discussion (note: only one option is provided in the data):
- 'random sampling' as the method: Random sampling gives each member of the population an equal chance of selection, which tends to produce a sample that mirrors the population on average. This alignment supports external validity by limiting systematic differences between the sample and the population, thereby making results more generalizable. In practice, random sampling is the standard approach when researchers want to extend findings beyond the sample.

Why other potential approaches (if they were listed) might be problematic for generalizability:
- Nonrandom/convenience sampling: If participants are selected based on ease of access, they may differ in important ways from the broader population, introducing sampling bias and limiting generalizability.
- Quota or purposive sampling: While these can ensure certain characteristics are represented, they do not guarantee that the overall distribution matches the population, which can reduce generalizability.
- Systematic sampling without randomness: Selecting every kth individual can introduce bias if there is a hidden pattern in the population list that correlates with the outcome.

In summary, when the goal is to generalize study results to a broader population, random sampling is the approach that best supports representativeness and external validity. Since the provided options include only 'random sampling', this is the mechanism aligned with generalizability across populations.

PSY 1 S25 Practice Questions for Mini Exam 1

For results from a study sample to be truly generalizable to a broader population, the study must use

查看解析

登录即可查看完整答案

类似问题

Question at position 20 BEDCA

Which of the following must be necessary to generalize the finding of an observational study to its population of interest?

Which of these statements best reflects a good motivation for random sampling necessary?

Which of the following scenarios exemplifies the concept of random sampling?

Question Set H Prompt: Random sampling is a more important consideration than random assignment if the research question is whether faculty tend to drive older cars than students drive on your campus.

The purpose of random sampling is to ensure

Which procedure helps to ensure that the participants in a survey are representative of a larger population?

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单