Posted by dataSpring Editors / May 27, 2020

3 Reasons Why Online Research is the Best Way to Go During the Pandemic

3 Reasons Why Online Research is the Best Way to Go During the Pandemic

Ever since the World Health Organization declared COVID-19 a pandemic in March, the world changed in ways we could not have imagined in our lifetimes. Many nations closed their borders, businesses and universities were shut down, and social behavior was strictly monitored and controlled. With hospitals overwhelmed with cases and potential vaccines still on clinical trial stages, no one knows when or how the current pandemic will end.

The market research industry was not spared by COVID-19. As health and safety became everyone’s utmost concern, several market research initiatives, most of which are conducted through close, face-to-face interactions, have been halted. Fortunately, technology, particularly online tools, allowed market researchers to continue their projects despite the current restrictions in travel and human interaction.

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Posted by dataSpring Editors / Jan 30, 2020

4 Types of Biases in Online Surveys (and How to Address Them)

4 Types of Biases in Online Surveys (and How to Address Them)

Preparing and conducting an online survey can be a tricky process, as you may need to keep guidelines in mind as you try to keep your questions short and understandable. Moreover, you need to keep your surveys as objective and neutral as possible, so that you will be able to preserve the integrity of the responses and come up with beneficial insights. To do this, you must be able to identify possible biases in your survey and distribution process.

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Posted by dataSpring Editors / Feb 06, 2018

Avoid These 3 Asian Market Research Mistakes

Avoid These 3 Asian Market Research Mistakes

Having conducted thousands of research projects in Asia, we have seen repeated mistakes made when conducting studies in the region. 

Let us help you ensure that your next Asian market research study yields the accurate and representative results you expect by avoiding these common mistakes. 

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Posted by dataSpring Editors / Aug 22, 2017

3 Ways to Combat Social Desirability Bias in Asia

3 Ways to Combat Social Desirability Bias in Asia

Any study that collects and relies on self-reported attitude, usage, or behaviors is subject to some amount of over or under reporting bias. Find out how to combat these issues in this blog post.

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Posted by dataSpring Editors / Aug 14, 2017

3 Things to Consider When Asking Sensitive Survey Questions

3 Things to Consider When Asking Sensitive Survey Questions

Today, it is very important to consider a respondent’s potential reaction to certain topics, as well as the wording of questions and responses. There is heightened sensitivity in this area.

— Jun Uematsu, dataSpring Director in Japan

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