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How to design and select samples for surveys

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Course Overview

Technical skills are the abilities and knowledge needed to perform specific tasks. They are used in a variety of industries, such as engineering, IT, healthcare, and finance. Technical skills are often acquired through formal education, on-the-job training, or certifications. Examples of technical skills include programming, web development, database management, network administration, and troubleshooting. Major vendors for technical skills include Microsoft, Oracle, IBM, and Amazon Web Services. These vendors provide software, hardware, and cloud services to help businesses and individuals develop and maintain their technical skills.
Technical Skills Training and Certification Courses are designed to help individuals gain the knowledge and skills needed to perform specific tasks in a particular field. These courses provide hands-on experience and certification that can help individuals advance their careers and increase their earning potential.

Learning and Objectives:

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Prerequisites:

• Knowledge of the specific technical skill
• Understanding of the related concepts
• Ability to apply the skill in a practical setting
• Familiarity with the relevant software and hardware
• Ability to troubleshoot and solve problems
• Understanding of the industry standards and best practices

Target Audiance

  • • Students who are interested in learning technical skills.
  • • Professionals who want to upgrade their technical skills.
  • • Job seekers who want to gain technical skills to increase their employability.
  • • Entrepreneurs who want to gain technical skills to help them in their business.
  • • Anyone who wants to gain technical skills to help them in their career.

Schedule Dates

How to design and select samples for surveys
15 July 2024 - 19 July 2024
How to design and select samples for surveys
21 October 2024 - 25 October 2024
How to design and select samples for surveys
27 January 2025 - 31 January 2025
How to design and select samples for surveys
28 April 2025 - 02 May 2025

Course Content

  • Course Introduction
  • Research Design and Sampling - Part 1
  • Research Design and Sampling - Part 2
  • Surveys and Sampling
  • Why Sample At All? - Part 1
  • Why Sample At All? - Part 2
  • Why Might We Randomize, and How Might
  • What Happens When We Randomize?
  • How Do We Evaluate How Good a Sample

  • Simple Random Sampling (SRS)
  • Mere Randomization: A Short History
  • The SRS Sampling Distribution - Part 1
  • The SRS Sampling Distribution - Part 2
  • Sample Size
  • Margin of Error
  • Sample Size and Population Size

  • Simple Complex Sampling - Choosing Entire Clusters
  • Design Effects and Intraclass Correlation
  • Two-Stage Sampling
  • Designing for Two-Stage Sampling
  • Dealing With the Real World - Unequal Sized Clusters
  • Sampling Fraction
  • Simple Complex Sampling - Choosing Entire Clusters
  • Designing for Two-Stage Sampling -
  • Dealing With the Real World - Unequal Sized Clusters -

  • Forming Groups
  • Sampling Variance
  • More On Grouping
  • Allocate Sample
  • Other Allocations
  • Weights to Combine Across Strata

  • Statistical Software for Sample Selection
  • Stratified Multistage Sampling
  • Weights for Over/Under Sampling
  • Nonresponse & Noncoverage Weighting
  • Sampling Networks: Multiplicity Weighting
  • Non-Probability Sampling
  • Exercise
  • Review course objectives and suggestions

FAQs

Sample selection is crucial as it represents the larger population. A well-selected sample ensures the survey results accurately reflect the characteristics and opinions of the population being studied.

The sample size depends on various factors like population size, desired level of accuracy, and confidence level. Utilize statistical formulas or online calculators to determine an appropriate sample size.

Common sampling methods include random sampling, stratified sampling, cluster sampling, and systematic sampling. The choice depends on the research objectives and the accessibility of the population.

Yes, online sampling methods are widely used in Dubai. However, ensure the sample is representative of the target population and consider factors like internet penetration and demographic characteristics of online users.

Yes, respect local laws and cultural norms. Ensure your survey questions are culturally sensitive and comply with regulations regarding data collection and privacy.

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