Survey Design: Best Practices for Beginners

Survey Design: Best Practices for Beginners

This course is provided by Big Data Trunk for Technology Training Program but a limited few seats available to the public.

By Big Data Trunk

Date and time

June 5 · 9am - June 7 · 12pm PDT

Location

Online

Refund Policy

Contact the organizer to request a refund.
Eventbrite's fee is nonrefundable.

About this event

  • 2 days 3 hours

June 5,7 2024
2 Half Day (9:00 a.m to 12:00 p.m PST)

Title:

Survey Design: Best Practices for Beginners

Pre-requisite:

Basic computer operations.

Audience:

Beginner/Intermediate online survey creators.Businesses professionals who would like to leverage survey usage for their organization.

Overview:

When surveying users and customers, it is important to ask the right questions to the right people at the right time and to construct the survey so that meaningful results can be obtained, analyzed, and reported. In this class you will learn how to design an effective survey and bring actionable insights to your organization.


Long Description:

Whether you’re collecting customer feedback, performing employee evaluations, or planning an event, the first step toward creating an effective survey is to brush up on the basics of survey science. Check out our resources for online survey tips and best practices to make sure your next survey is a success!


Learning Objectives:

  1. After this course, you will be able to:
  2. Why survey?
  3. How to strategically plan your survey
  4. Understand the best practices for survey design
  5. Review collection techniques to get the best response rate
  6. How to analyze, present and share the findings
  7. Determine which online tool is best for your survey

Topic Outline:

  • Planning
  • Formulating the problem or question to be answered
  • Determining the research approach
  • Setting objectives for information collection
  • Design
  • Choosing a collection method (Qualtrics, Google Forms, or SurveyMonkey)
  • Tips for good visual design
  • Types of questions/response alternatives
  • Pretesting and pilot testing
  • Pitfalls to avoid
  • Good question test – is it clear, easy answerable, unbiased?
  • Collection
  • Collecting responses
  • Statistical significance
  • Qualitative vs. Quantifiable
  • Improving response rates and retention
  • Analysis & Reporting
  • Filtering and customizing results
  • Sharing results
  • Training material provided:
  • Yes (Digital format)

Organized by

Big Data Trunk is all about Big data and Hadoop providing training, placement and job/project assistance on Big data.