Kit Library / Research Methodology / Statistics & Qualitative Research

⚡ Topic Learning Kit

Types of Sampling and Qualitative Sampling Methods

English 16 leveled MCQs 31 flashcards 9 games Free

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💡 Key Idea

Sampling: Studying a Few to Understand Many

Why study 1000 when 100 can tell the story?

Sampling means selecting a small part of a population to represent the whole. It saves time, money, and effort while still giving reliable insights.

↳ A good sample mirrors the population, so findings can be generalised.

📖 Definition

Two Big Families of Sampling

Probability vs non-probability — know the split.

↳ Probability = random & representative; Non-probability = selective & insight-driven.

⚙️ Process

Types of Probability Sampling

Four random ways to pick a sample.

↳ Probability methods give every unit a known, non-zero chance of selection.

📖 Smart notes

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1

Types of Sampling and Qualitative Sampling Methods

Sampling is the process of selecting a small group (sample) from a larger population to study it. Sampling methods are broadly divided into probability (random) and non-probability (non-random) techniques, while qualitat…

  • **Sampling** = selecting a small group (sample) from a larger group (population) to study.
  • Two families: **probability sampling** (random, representative) and **non-probability sampling** (judgement-based).
  • **Simple random sampling**: every member has an equal chance; lottery or random number method.

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

❓ Leveled MCQ practice

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

What is sampling in research?

Beginner
A Selecting a small group from a larger population B Randomly guessing research answers C Studying the entire population D Writing a research report
Show answer & explanation

Selecting a small group from a larger population

Sampling is the process of selecting a small group (sample) from a larger group (population) to study and draw conclusions about the whole.

In probability sampling, every member of the population has:

Beginner
A A chance decided by the researcher's mood B No chance of being selected C A known, non-zero chance of being selected D An equal chance only if they volunteer
Show answer & explanation

A known, non-zero chance of being selected

Probability sampling requires that every member has a known, non-zero chance of selection, which makes the sample representative.

Which sampling method picks every $k$-th item from a list?

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

Systematic sampling

Systematic sampling selects every $k$-th item, where $k = \text{population} / \text{sample size}$.

A researcher divides a college into arts and science students, then randomly picks some from each group. Which method is this?

Intermediate
A Stratified sampling B Convenience sampling C Cluster sampling D Snowball sampling
Show answer & explanation

Stratified sampling

Stratified sampling divides the population into strata (groups) and randomly samples from each stratum.

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