Synthesizing Results from the Trial State Assessment

1999 ◽  
Vol 24 (4) ◽  
pp. 413 ◽  
Author(s):  
Stephen W. Raudenbush ◽  
Randall P. Fotiu ◽  
Yuk Fai Cheong
Keyword(s):  
1992 ◽  
Vol 17 (2) ◽  
pp. 219-232
Author(s):  
Donald A. Rock ◽  
Jennifer Nelson

The National Assessment of Educational Progress (NAEP) has consistently pioneered new assessment methods in conjunction with developing the psychometric methodologies underlying them. Several NAEP developments—such as complex matrix item sampling designs, the introduction of performance-based items in large-scale assessments, vertical scaling, and an intelligent computer system that produces unique assessment reports for participating jurisdictions in the NAEP Trial State Assessment program—are presented in this chapter along with a discussion of their extensions and applications to other current and future assessment projects.


1998 ◽  
Vol 20 (1) ◽  
pp. 47-51
Author(s):  
Cheryl Davis Bullock ◽  
Lizanne DeStefano

This study investigated the usefulness of the 1992 TSA in reading for state-level administrators of assessment. Data regarding their perceptions about the credibility and orientation of various components of the TSA were collected (using phone interviews) from 26 state directors of assessment, or their designees, and analyzed. Additionally, data about the utility of the manner of reporting TSA results, how results are currently used and could be improved, were collected and analyzed. The following four conclusions were drawn from the study: involve the International Reading Association and more teachers, continue but modify descriptors, disseminate results quicker, and make results more useful.


1999 ◽  
Vol 24 (4) ◽  
pp. 413-438 ◽  
Author(s):  
Stephen W. Raudenbush ◽  
Randall P. Fotiu ◽  
Yuk Fai Cheong
Keyword(s):  

2020 ◽  
Vol 14 (1) ◽  
pp. 183-200
Author(s):  
Olena Illiashenko ◽  
Yevhenii Rudnichenko ◽  
Tetiana Momot ◽  
Nataliia Havlovska

2021 ◽  
Vol 2 (2) ◽  
pp. 1-31
Author(s):  
Esteban A. Ríssola ◽  
David E. Losada ◽  
Fabio Crestani

Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records. The presented studies are organised according to the assessment technology and the feature extraction process conducted. We also present a series of studies which explore different aspects of the language and behaviour of individuals suffering from mental disorders, and discuss various aspects related to the development of experimental frameworks. Furthermore, ethical considerations regarding the treatment of individuals’ data are outlined. The main contributions of this survey are a comprehensive analysis of the proposed approaches for online mental state assessment on social media, a structured categorisation of the methods according to their design principles, lessons learnt over the years and a discussion on possible avenues for future research.


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