Caregivers completed questionnaires about family demographics (parent education, income, employment status, ethnicity, race), and their child's digital media use. Because prior work has found that the majority of children's digital media time at this age is spent with videos/TV and most children have some level of regular TV time (Kucker et al., 2024) (link), the average minutes/day spent watching videos/TV/movies from the Media Assessment Questionnaire (MAQ; Barr et al., 2020) (link) was used as the metric for digital media use. Children's expressive vocabulary was measured with the MacArthur-Bates Communicative Development Inventory: Words and Sentences (MCDI; Fenson et al., 1994 (link)). Children's total amount of social interactions was assessed through a self-report asking "On average, how many people does your child interact with on a daily basis?" . The study was approved by the Oklahoma State University and Southern Methodist University Internal Review Boards and all participants gave informed consent.
Protocol detail
Digital Media, Vocabulary, and Social Interactions in Young Children
Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Corresponding Organization : Southern Methodist University
Other organizations : Louisiana State University
Top 5 similar protocols
Variable analysis
independent variables
- Digital media use (average minutes/day spent watching videos/TV/movies)
- Children's expressive vocabulary
- Children's total amount of social interactions
- Family demographics (parent education, income, employment status, ethnicity, race)
Annotations
Based on most similar protocols
Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.
Sign up for free or login to display all annotations
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!