UROP Research Mentor Project Submission Portal: Submission #968
Submission information
Submission Number: 968
Submission ID: 15466
Submission UUID: aefcbdf2-47aa-4580-8f79-dcaafac83224
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=aQFDzlgTbvpx1hSyDXXAawceHvSE2HFbaKAZY557P94
Created: Sun, 08/25/2024 - 09:20 PM
Completed: Sun, 08/25/2024 - 09:54 PM
Changed: Thu, 10/03/2024 - 01:03 PM
Remote IP address: 68.35.228.145
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Research Mentor Information
Nancy C. Marencin Ph.D. CCC-SLP
she/her/hers
Dr.
Faculty
Arts and Sciences
FCRR, Psychology
Additional Research Mentor(s)
Overall Project Details
Examining Early Language and Literacy Profiles of African American Preschoolers
children, language, literacy, reading, development, dialect
No
4
open to all majors
On FSU Main Campus
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Partially Remote
5-10 hours
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
The purpose of the proposed study is to describe the factor structure of emergent literacy (i.e., Print Knowledge, Phonological Awareness, Nonword Repetition) and oral language (i.e., Nonword Repetition, WH-Questions, Sentence Repetition, Receptive and Expressive morphosyntax, Receptive and Expressive Vocabulary) performance of African American children attending Head Start preschools in the southeast United States. We will first utilize confirmatory factor analysis to determine if a strict unidimensional model (representing Emergent Literacy and Oral Language combined) or a complex model representing two latent factors (one for Emergent Literacy and one for Oral Language) best fit the data. Utilizing Factor Mixture Models (FMM), we will then determine if there are unique classifications of individuals with consideration of the latent factors of emergent literacy and oral language or unidimensional factor of emergent literacy and oral language combined. Finally, we will determine if dialect density or degree of dialect variation (DVAR) is a significant predictor of FMM group membership.
literature review, data entry, data analysis
required: basic computing skills, attention to detail, access to a computer with stable internet connection if working remotely, interest in language/reading development and English dialects
recommended: experience with or desire to learn descriptive statistics, experience with or desire to learn REDCap,
recommended: experience with or desire to learn descriptive statistics, experience with or desire to learn REDCap,
I believe the most exciting and insightful research utilizes involves interdisciplinary team members working in a community of practice. Mentorship within a community of practice allows team members to choose just how much expertise they would like to develop in areas that meet the goals of the combined research team, and allows team members to develop their own goals that can be supported by the most experienced team members within a safe environment.
https://fcrr.org/person/nancy-marencin-phd
Google Scholar: https://scholar.google.com/citations?user=q-cP_egAAAAJ&hl=en
No
{Empty}
UROP Program Elements
Yes
Yes
Yes
Yes
{Empty}
2024
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=aQFDzlgTbvpx1hSyDXXAawceHvSE2HFbaKAZY557P94