Blog

Read our latest articles for tips, tricks, advice and news about research techniques and solutions.

Spread Your Data Collection Over Days or Weeks With MicroBatch

Aaron Moss, PhD
February 7, 2019

Spread Your Data Collection Over Days or Weeks With MicroBatch

One reason Amazon Mechanical Turk has become so popular among researchers is the speed with which data can be collected. Compared to more traditional research methods — lab-based experiments, field studies, ethnographic interviews, etc. — MTurk is exceptionally fast, making...

Tips for Navigating the CloudResearch Dashboard

Aaron Moss, PhD
January 31, 2019

Tips for Navigating the CloudResearch Dashboard

Overview of CloudResearch Dashboard changes and navigation tips for improved user experience.

Five Things You Should NOT Be Doing in Online Data Collection

Aaron Moss, PhD
January 24, 2019

Five Things You Should NOT Be Doing in Online Data Collection

Three weeks ago, we published a blog explaining five things you should be doing in your online data collection. In this blog, we follow up with five things you should NOT be doing when collecting data on MTurk.

Revisiting CloudResearch’s Survey Group Feature

Aaron Moss, PhD
January 17, 2019

Revisiting CloudResearch’s Survey Group Feature

What Is a Survey Group? Survey Groups are one of the most powerful and dynamic tools on CloudResearch for controlling which workers are eligible and ineligible for your study. A Survey Group is exactly what it sounds like: a collection...

Announcing the CloudResearch Suggestion Box

Aaron Moss, PhD
January 10, 2019

Announcing the CloudResearch Suggestion Box

A new year represents the opportunity to consider priorities, set goals, chart new courses of action, and decide how to move forward in the coming months. At CloudResearch, we’re moving into 2019 looking for ways to expand the tools and...

Five Things You Should Be Doing in Online Data Collection

Aaron Moss, PhD
January 3, 2019

Five Things You Should Be Doing in Online Data Collection

Researchers are responsible for being an expert, or at least knowledgeable, in several areas. There’s the topic of your research, the methods common within your discipline, best practices for open science, and the mediums used to communicate about your work—just to name a few. For many researchers, online data collection has been revolutionary, helping collect data faster and more affordably than ever before.

Including and Excluding Participants From Studies Run Through CloudResearch: What, When and How

Richa Gautam
December 27, 2018

Including and Excluding Participants From Studies Run Through CloudResearch: What, When and How

In this blog, we explain everything you could ever want to know about including and excluding participants from studies while using CloudResearch. In last week’s blog on longitudinal studies, we described our Include Workers feature, but this blog digs into the nitty-gritty and explains what our features are, when you might want to use them, and how they work.

Running Longitudinal Studies on CloudResearch

Sam Krumholtz
December 20, 2018

Running Longitudinal Studies on CloudResearch

In this blog, we describe how to run a longitudinal study on MTurk, using CloudResearch. We also provide tips for maximizing worker participation and minimizing attrition.

Understanding Geolocations and Their Connection to Data Quality

Richa Gautam
December 12, 2018

Understanding Geolocations and Their Connection to Data Quality

In this blog, we outline the history of our Block Duplicate Geolocations tool, provide an overview of what geolocations are and the information they convey, and present the results of a study that examined the quality of data obtained from repeated geolocations that are not linked to server farms. We conclude by outlining the steps we are taking to change the default options on our Block Duplicate Geolocations feature.

How to Gather Demographically-Representative Samples in Online Studies

Aaron Moss, PhD
December 7, 2018

How to Gather Demographically-Representative Samples in Online Studies

Most social science research relies on convenience sampling of participants, meaning few samples look like let alone represent the general population. For many research questions, convenience samples are not a problem. Yet, for other questions, being able to capture and represent the opinions of people from different groups is essential. Because most researchers do not routinely gather these kinds of samples, knowing where to find one when it’s needed can be difficult.

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