Effects of Interactive Read-Aloud and Literature Discussion on Reading Comprehension for First-Grade Students With Language Impairments in a Title 1 School. Elizabeth Vultaggio Salah, 2014: Applied Dissertation, Nova Southeastern University, Abraham S. Fischler School of Education. Language Impaired, First-Grade, Title 1 Schools, Reading Comprehension, Interactive Read-Aloud, Literature Discussion, Fountas and Pinnell. This applied dissertation was designed to determine the effects of the interactive read-aloud and literature discussion on reading comprehension for first-grade students with language impairments in a Title 1 School. This study was conducted as an embedded case study design using a quantitative method for data collection and analysis. The de-identified data was collected and analyzed from two consecutive school years (i.e., 2012-2013, 2013-2014). Data on the students' overtime (i.e., from kindergarten to first-grade) was collected and analyzed based upon a multiple case study design. Data points were collected using the A-B design, a two phase, basic signal-subject design. The A in the A-B design was the individual student's baseline data point; whereas B, was the data point after the intervention. The researcher observed and measured individual student data from the kindergarten school year (A). The researcher administered the read-aloud intervention, and observed and measured multiple data points after the intervention (B). The students' scores were determined using ongoing data collection. Since the overall design was to measure improvement in the four students overtime, no comparison groups were used. An analysis of the de-identified data revealed how individual language impaired students responded to the intervention. The researcher concluded that interactive read-aloud coupled with literature discussions improved reading comprehension of first-grade language impaired students based on results of the Oral Language Assessment and the Comprehension Conversation Assessment of the Fountas and Pinnell Benchmark System 1. Recommendations were made for future research.
Identifer | oai:union.ndltd.org:nova.edu/oai:nsuworks.nova.edu:fse_etd-1060 |
Date | 01 January 2014 |
Creators | Salah, Elizabeth Vultaggio |
Publisher | NSUWorks |
Source Sets | Nova Southeastern University |
Detected Language | English |
Type | campusdissertation |
Format | application/pdf |
Source | Theses and Dissertations |
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