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Related Concept Videos

Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Experimental Designs01:16

Experimental Designs

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An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
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What is an Experiment?01:12

What is an Experiment?

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An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
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Crossover Experiments01:16

Crossover Experiments

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Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
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Controls in Experiments01:13

Controls in Experiments

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When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
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Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Open Lab: A web application for running and sharing online experiments.

Yury Shevchenko1

  • 1Research Methods, Assessment, and iScience, University of Konstanz, Universitätsstraße 10, D-78464, Konstanz, Germany. yury.shevchenko@uni.kn.

Behavior Research Methods
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Summary
This summary is machine-generated.

Open Lab simplifies online data collection for social and behavioral scientists by providing a user-friendly platform for hosting web-based experiments. This open-source tool removes technical barriers and enhances research transparency.

Keywords:
Data managementOnline data collectionlab.js

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Area of Science:

  • Social and Behavioral Sciences
  • Online Research Methods
  • Open Science

Background:

  • Online experiments are increasingly vital for data collection in social and behavioral sciences.
  • Researchers face significant technical challenges and limitations with proprietary software for online study deployment.
  • A need exists for accessible, customizable, and transparent platforms for online research.

Purpose of the Study:

  • Introduce Open Lab, a novel server-side application for hosting online surveys and experiments.
  • Demonstrate Open Lab's integration with the lab.js experiment builder.
  • Compare Open Lab with existing study deployment services and highlight its contribution to open science.

Main Methods:

  • Open Lab is a server-side application designed for deploying online experiments.
  • It integrates seamlessly with lab.js, a browser-based experiment builder.
  • The platform facilitates script uploading, study customization, participant management, and results analysis.

Main Results:

  • Open Lab offers a fast, secure, and transparent solution for deploying online studies.
  • It empowers researchers by overcoming technical hurdles associated with server setup.
  • The application supports customization and sharing, aligning with open science principles.

Conclusions:

  • Open Lab provides an accessible and efficient platform for researchers to conduct online experiments.
  • Its integration with lab.js and focus on open science practices make it a valuable tool for the scientific community.
  • This paper offers a guide to facilitate researcher adoption of Open Lab for their online studies.