Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Sampling Designs in Qualitative and Quantitative Research
Rating: 4.0 out of 5(16 ratings)
521 students

Sampling Designs in Qualitative and Quantitative Research

Sampling Methods
Last updated 7/2024
English

What you'll learn

  • Define the concept of sampling
  • Familiarize yourself with essential terminology about sampling
  • Know the differences between probability/ random and non-probability/ non random sampling
  • Be familiar with the types of sampling methods in quantitative and qualitative designs

Course content

8 sections8 lectures53m total length
  • Introduction3:04

    An overview of the whole course.

Requirements

  • a Notebook and a pen (optional)

Description

Hello dear student,

This course provides a comprehensive and systematically organized introduction to Sampling Methods in both qualitative and quantitative research designs. It is designed to present key concepts in a clear, precise, and academically rigorous manner, enabling you to understand, select, and apply appropriate sampling techniques for research effectively.

Throughout the course, you will explore the following sections:

  • Section 1: Course Overview
    A brief introduction to the structure and objectives of the course

  • Section 2: Sampling Definitions and Terminology
    Definitions of sampling in qualitative and quantitative research, along with essential terms such as study population, sample, sample size, sampling strategy, sampling unit, sampling frame, and sample statistics

  • Section 3: Types of Sampling
    Overview of probability (random) and non-probability (non-random) sampling designs

  • Section 4: Quota Sampling
    Definitions, practical examples, advantages, and disadvantages

  • Section 5: Accidental Sampling
    Definitions, practical examples, advantages, and disadvantages

  • Section 6: Judgmental/Purposive Sampling
    Definitions, practical examples, advantages, and disadvantages

  • Section 7: Expert Sampling
    Definitions, practical examples, advantages, and disadvantages

The course emphasizes both theoretical knowledge and practical application, providing examples and exercises to help you select and implement appropriate sampling methods in research.

This course is ideal for students, researchers, and professionals seeking a rigorous, structured, and practical foundation in sampling methodology for academic or applied research purposes.

Looking forward to seeing you in the course.

Who this course is for:

  • This course is made for beginners and average learners