The Feasibility and Data Quality for a Listening Comprehension Task in an Unmoderated Remote Study With Children

Area of Science:

• Child language acquisition
• Remote research methodologies
• Speech and hearing sciences

Background:

• Remote studies offer a flexible alternative to in-person research.
• Assessing the feasibility and data quality of unmoderated remote studies is crucial for their wider adoption.
• Listening comprehension tasks are vital for understanding child language development.

Purpose of the Study:

• To evaluate the feasibility, completion rates, and data quality of unmoderated remote studies for children's listening comprehension.
• To examine sample representation in remote listening comprehension studies.
• To identify factors influencing data quality in unmoderated remote research.

Main Methods:

• Thirty-five children aged 4-11 participated in an unmoderated remote listening comprehension task.
• Feasibility and completion were assessed descriptively and via proportion tests.
• Data quality was analyzed using multilevel logistic regression and proportion tests.

Main Results:

• The study sample was predominantly White with highly educated parents.
• Most participants completed the task, yielding good data quality in the unmoderated format.
• Mouse selection responses showed the least missing data, followed by prompted and open-ended audio recordings.

Conclusions:

• Unmoderated remote studies are a feasible method for assessing listening comprehension in children aged 4-11.
• Good data quality can be achieved despite the less controlled remote environment.
• Further research with diverse samples is recommended to generalize findings.