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  • Trina D. Spencer
  • Elmar Souvignier
  • Eunhye Ahn

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Impact of Discourse Type and Elicitation Task on Language Sampling Outcomes
Description: Language sampling is a critical component of language assessments. However, there are many ways to elicit language samples that likely impact the results. The purpose of this study was to examine how different discourse types and elicitation tasks affect various language sampling outcomes.
Investigators: Trina D. Spencer, Trina J. Tolentino, Matthew E. Foster
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Play-based Narrative Elicitation
Description: The aim of this research is to create developmentally appropriate, play-based storytelling elicitation procedures to collect language samples of young children aged 18-48 months, tools for evaluating the magnitude and quality of narrative language produced in play-based storytelling sessions, and examine the psychometric properties of these new
Investigators: Megan S. Kirby, Norah Almubark, Trina D. Spencer
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Automated Narrative Scoring Using Large Language Models
Description: The analysis of narratives often accompanies comprehensive language assessments of students. While analyzing narratives can be time-consuming and labor-intensive, recent advances in large language models (LLMs) indicate that it may be possible to automate this process.
Investigators: Saman Enayati, Ziyu Yang, Slobodan Vucetic, Trina D. Spencer
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AAC Narrative Intervention for Children with Autism
Description: In research, augmentative and alternative communication (AAC) interventions have primarily focused on teaching children to make requests (Logan et al., 2017); however, AAC intervention should not stop there.
Investigators: Norah Almubark, Trina D. Spencer, Matthew E. Foster
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Oral Academic Narrative Language Intervention
Description: Science of reading experts have called for increased attention on oral academic language. Specifically, interventions need to integrate multiple dimensions of academic language—word-, sentence-, and discourse-level patterns—to impact listening comprehension.
Investigators: Trina D. Spencer, Douglas B. Petersen, Chelsey Gardner, Megan S. Kirby
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Data-based decision-making in schools: Examining the process and effects of teacher support
Description: This project focused on the idea of data-based decision-making (DBDM) at the classroom level, focusing on how teachers use assessment data to adapt their instruction to students’ individual needs. The present project investigated this idea directly and evaluated the effectiveness of teacher support on the different steps of this process.
Investigators: Karin Hebbecker, Natalie Forster, Boris Forthmann, Elmar Souvignier
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Building Infrastructure and Training Tools to Understand CPS Involvement and Trajectories: An Open-Source Approach
Description: We will build out the comprehensive infrastructure (data integration, research products, training, and policy relevant recommendations) which is required to support informed and open-source use of the new US Report And Placement Integrated Data System (RAPIDS).
Investigators: Brett Drake, Hyunil Kim, Rebecca (Becky) Orsi-Hunt, Dana Hollinshead, PhD, MPA, John Fluke, Dylan Jones, Melissa Jonson-Reid, Eunhye Ahn, Rachel A Wilson
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Discourse Type and Elicitation Task Data from the ALPS Project
Part of Project: Impact of Discourse Type and Elicitation Task on Language Sampling Outcomes
Description: These are the data for 1037 K-3 students who contributed oral academic language samples. https://doi.org/10.1044/2023_AJSLP-22-00365
Investigators: Trina D. Spencer, Trina J. Tolentino, Matthew E. Foster
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Test Data
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The test data set was drawn randomly from the larger corpus of narrative language samples.
Investigators: Saman Enayati, Ziyu Yang, Slobodan Vucetic, Trina D. Spencer
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Training Data
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The training data set was drawn randomly from the larger corpus of narrative language samples.
Investigators: Saman Enayati, Ziyu Yang, Slobodan Vucetic, Trina D. Spencer
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TwoRaters
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The tworaters data set was drawn randomly from the larger corpus of narrative language samples. These samples were scored by two raters for reliability purposes.
Investigators: Saman Enayati, Ziyu Yang, Slobodan Vucetic, Trina D. Spencer
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AAC Narrative Intervention DATA
Part of Project: AAC Narrative Intervention for Children with Autism
Description: These are the data for story grammar scores and number of different symbols used that resulted from the AAC narrative intervention. They are organized according to multiple baseline across participants design and pseudonyms are used instead of children's names.
Investigators: Norah Almubark, Trina D. Spencer, Matthew E. Foster
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Pre- and Post Retell & Inferential Vocab Data AND Repeated Acquisition Design Data for Taught Words
Part of Project: Oral Academic Narrative Language Intervention
Description: This file contains data according to two research designs: small scale RCT and a Repeated Acquisition Design (single case research). The vocabulary at the pre- and post- collections were untaught words whereas the weekly probes for the RAD were the taught words of that week.
Investigators: Trina D. Spencer
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Data-based decision-making in schools: Examining the process and effects of teacher support
Part of Project: Data-based decision-making in schools: Examining the process and effects of teacher support
Description: This dataset contains the relevant data related to the project "Data-based decision-making in schools: Examining the process and effects of teacher support", that were used in the associated manuscript available at https://doi.org/10.1037/edu0000530. Data and associated codebook/materials are all available at the external dataset link.
Investigators: Karin Hebbecker, Natalie Forster, Boris Forthmann, Elmar Souvignier
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Content Type

  • Dataset (7)
  • Project (7)

Constructs

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Assessments

Participant Type

  • Children (3)
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Special Populations

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Educational Environments

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Project Methods

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  • [x] Trina D. Spencer (11)
  • [x] Elmar Souvignier (2)
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Organizations

  • University of South Florida (7)
  • University of Kansas (6)
  • Temple University (4)
  • Northern Arizona University (2)
  • University of Munster (2)
  • University of Colorado Anschutz Medical Campus (1)
  • University of Illinois at Urbana-Champaign (1)
  • Washington University in St. Louis (1)

This repository is a collaboration between the FSU Department of Psychology, the Florida Center for Reading Research, and the FSU Libraries. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

On March 25, 2025, the NIH requested that we post this text: "This repository is under review for potential modification in compliance with Administration directives."

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