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Survey Samples: Size and Methods

本课程是多个项目的一部分。

位教师：LearningMate

包含在中

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2个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Select appropriate sampling methods and calculate the statistically valid sample size to design reliable survey research.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

此课程作为的一部分提供

在注册此课程时，您还需要选择一个特定的合作项目。

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该课程共有2个模块

Survey Samples: Size and Methods is a foundational course for aspiring market research analysts and professionals designing statistically sound studies. It builds essential quantitative skills to move from guesswork to confident, data-driven research design. You will learn the key differences between probability and non-probability sampling and how to select the proper method for any research objective.

The course emphasizes practical application, guiding you through calculating valid sample sizes using confidence levels and margins of error, with hands-on practice using a sample size calculator to ensure reliable, defensible results. By the end of this course, you will be able to justify your methodological choices and design surveys that deliver trustworthy, decision-ready insights—balancing rigor with real-world business constraints of speed and cost.

单元详情

This module introduces the fundamental difference between sampling methods. You will learn to distinguish between probability (random) and non-probability methods and understand how this choice affects the validity of your research. Using real-world examples like the US election polls, you will learn to classify standard techniques and choose the most appropriate method for different business scenarios, as well as the influence of objectives and constraints on method choice. In academic research, probability sampling is often required to support generalizable claims. In business and market research, however, method choice is guided by decision context, constraints, and intended use of the findings. This course focuses on professional research design, where the goal is actionable insight—not academic publication.

涵盖的内容

2个视频2篇阅读材料2个作业

This module demystifies sample size calculation. You will learn about the three key statistical inputs—confidence level, margin of error, and population variance—that determine a valid sample size. Through hands-on practice with an in-browser calculator, you will master the skill of determining the minimum number of participants needed for a statistically reliable study. Sample size decisions are not purely mathematical. In professional research settings, they balance statistical rigor with cost, timeline, and access to respondents. In academic research, probability sampling is often required to support generalizable claims. In business and market research, however, method choice is guided by decision context, constraints, and intended use of the findings. This course focuses on professional research design, where the goal is actionable insight—not publication.