【Seminar Held】Sample Size Design Affecting Survey Quality ~ What are the Criteria for Representativeness and Appropriate N-number? ~

Asmarq Co., Ltd. (Higashi, Shibuya-ku, Tokyo; Representative Director: Shoichi Machida) is pleased to announce a short seminar on the theme of "Sample Size Design", to be held on Thursday, April 23, 2026, at 13:00. The seminar will explain the concept of appropriate sample size and strategies for handling low-incidence targets.

Recommended for those who:

• Want to determine the optimal sample size based on budget and duration.

• Are struggling with surveys where the incidence rate is low, making it difficult to secure sufficient samples.

• Want to confidently answer internal questions like "Why this number of people?"

Background

This is a series of short seminars by Asmarq, designed for compact learning of specialized knowledge.

When planning marketing research, many people are most troubled by the decision of sample size (n-number).
"Does the result of online research truly represent public opinion?"
"If the sample size is too small, won't the data become meaningless?"
In the field of research, we often hear such anxieties and questions.

This seminar will explain the criteria for "sample representativeness" and "appropriate n-number," which are inevitably encountered in research work.

We will organize not only statistical theoretical values but also specific practical approaches to determining the n-number, based on what criteria. We will provide insights relevant to research practice, such as different approaches depending on the survey objective and strategies for handling low-incidence targets.
This short seminar offers hints for survey design that support highly accurate decision-making.

Seminar Outline

Title: Sample Size Design Affecting Survey Quality ~ What are the Criteria for Representativeness and Appropriate N-number? ~

Date & Time: 2026.4.23 (Thu) 13:00-13:20

Capacity: 500 people

Participation Fee: Free

Speaker: Natsumi Yamamoto, Sales Department, Asmarq Co., Ltd.

Participation Benefit: Free distribution of seminar materials

Program

1. How far should "sample representativeness" be pursued?

2. Determinants of sample size and cost optimization

3. Understanding data with small samples

4. Summary

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