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Data Collection and Sampling Technique

Data Collection And Sampling Technique

Location Erbil

Fee $200

Course Date

Sunday, 2 February 2025

Course Overview

This "Data Collection and Sampling Techniques" course is designed to equip participants with essential skills for gathering and analyzing data in research. It covers various data collection methods, including surveys and interviews, alongside key sampling techniques such as random, stratified, and cluster sampling. By the end of the course, participants will be able to select appropriate sampling strategies, minimize errors and biases, and apply these techniques effectively in their research projects.

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Who should attend the course

To ensure participants can fully benefit from the course, they should meet the following prerequisites:

  • Basic Knowledge of Research Methods: Foundational understanding of research design: Concepts such hypotheses, variables, and research questions

  • Familiarity with Data Types: A basic understanding of quantitative and qualitative data types and common research sources

  • Experience with Surveys and Interviews: Some prior experience conducting/designing surveys, interviews, or any data collection activity is recommended

  • Basic Statistical Knowledge: Familiarity with mean, median, standard deviation, and basic probability

  • Comfort with Analytical Thinking: Participants should be able to engage in critical thinking and problem-solving, as the course will involve evaluating case studies and applying sampling methods in various research scenarios

  • Basic Computer Skills: Proficiency in using basic software like Microsoft Word and Excel, or statistical tools (optional), to manage and analyze data is recommended

Course Outline

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Skills Gained
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Understanding Sampling Techniques

  • Differentiate between random, stratified, and cluster sampling

  • Choose appropriate sampling techniques for research needs

Data Collection Methods

  • Design effective surveys and interviews

  • Identify appropriate data collection methods for various research contexts

Identifying Sampling Errors and Biases

  • Recognize common sampling errors and biases

  • Mitigate potential errors to improve research quality

Real-Life Application

  • Apply knowledge to create effective sampling plans

  • Develop practical data collection strategies for research

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Course Schedule

  • Duration: 2 days

  • Time: 09:00 - 17:00

  • Language: English

  • Refreshments: included

  • Format: classroom-based

  • Location: Erbil, mselect office

Payment

Must be made 7 working days before the start of the course. Payment can be made in cash, by bank transfer or through exchange offices.

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How do I register?

You can register by emailing training@mselect.com with the following details:

  • Full Name:

  • City/Town:

  • Email Address:

  • Phone number:

  • Name of the course:

For more information, please call 066 261 4455 or (0) 771 842-2380

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​register now