Kit Library / Research Methodology / Statistics & Qualitative Research

⚡ Topic Learning Kit

Types of Sampling and Qualitative Sampling Methods

English 18 leveled MCQs 30 flashcards 9 games Free

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💡 Key Idea

Sampling: Studying a Few to Understand the Many

Why study 1,000 when you can study 100?

Sampling is the process of selecting a subset (sample) from a larger population to draw conclusions about the whole. It saves time, cost, and effort while still giving reliable insights.

↳ A well-chosen sample lets you generalize findings to the whole population without studying everyone.

⚖️ Comparison

Probability vs Non-Probability Sampling

Two families, two very different logics.

↳ Probability sampling supports statistical inference; non-probability sampling supports depth and exploration.

📖 Definition

Four Core Probability Sampling Types

The four pillars of random sampling.

↳ Choose the probability type based on population structure — strata for homogeneity, clusters for geography.

📖 Smart notes

What you'll study, topic by topic

1

Types of Sampling and Qualitative Sampling Methods

Sampling is the process of selecting a subset of individuals from a population to study. Sampling methods are broadly divided into probability (random) and non-probability (non-random) techniques, while qualitative resea…

  • **Sampling** is the process of selecting a subset (sample) from a larger population for study.
  • Sampling methods fall into two families: **probability** and **non-probability**.
  • Probability sampling gives every unit a known, non-zero chance of selection.

~15 min · full explanation, examples & memory tricks in the app

❓ Leveled MCQ practice

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18 questions laddered from warm-up to topper-level, each with an explanation. A taste:

Which statement best defines sampling?

Beginner
A Measuring every member of a population B Analysing data after collection is complete C Assigning participants to treatment groups D Selecting a subset from a larger population for study
Show answer & explanation

Selecting a subset from a larger population for study

Sampling is the process of selecting a subset (sample) from a larger population so conclusions can be drawn about the whole.

A researcher divides a city into wards, randomly selects 10 wards, and studies everyone inside them. Which method is this?

Beginner
A Systematic sampling B Cluster sampling C Snowball sampling D Stratified sampling
Show answer & explanation

Cluster sampling

Cluster sampling randomly selects whole clusters and studies everyone inside the selected clusters.

Which of the following is a non-probability sampling method?

Beginner
A Simple random sampling B Systematic sampling C Stratified sampling D Convenience sampling
Show answer & explanation

Convenience sampling

Convenience sampling relies on ease of access, so selection probabilities are unknown.

In systematic sampling, after a random start, the researcher selects:

Beginner
A Whole groups instead of individuals B Only the first 50 units C Units chosen by participants themselves D Every $k$-th unit from the list
Show answer & explanation

Every $k$-th unit from the list

Systematic sampling takes a random start and then every $k$-th unit.

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