The purpose of this study was to develop and validate a needs assessment matrix for secondary specialized literacy professionals that identified the professional learning needs of literacy coaches. This tool was developed in order to inform school districts and secondary specialized literacy professionals about the types of professional learning support they will need for them to effectively meet the literacy needs of teachers in secondary schools. The Secondary Literacy Professionals Needs Assessment Matrix (SLPNAM) was created using a variety of methods. A synthesis of literature regarding school improvement, adolescent literacy, 21st century skills, adult learning, literacy coaching and the 2017 International Literacy Association's Standards for Specialized Literacy Professionals was used to provide the conceptual framework for the SLPNAM. The SLPNAM items were developed by interviewing coaching and content experts, going through several iterations before the final instrument was developed. Construct validity was established through exploratory factor analysis, and internal reliability was determined through Cronbach's Alpha. Sixty-four participants from 18 school districts in Florida responded to the SLPNAM. Data analysis indicated that the SLPNAM had a high level of internal reliability, and data reduction was used to ensure that items correlated with constructs it was intended to correlate with. Data from the exploratory factor analysis of the SLPNAM confirmed that construct validity was established. The results from this study provide opportunities for school districts to differentiate professional learning for literacy professionals. It also provides data for school administrators to define the role of the coach and assists secondary literacy professionals in setting professional learning goals specific to their roles.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-7719 |
Date | 01 January 2019 |
Creators | Kennedy, Analexis |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses and Dissertations |
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