Suche

Wo soll gesucht werden?
Erweiterte Literatursuche

Ariadne Pfad:

Inhalt

Literaturnachweis - Detailanzeige

 
Autor/inn/enCastellano, Katherine E.; McCaffrey, Daniel F.; Lockwood, J. R.
TitelAn Exploration of an Improved Aggregate Student Growth Measure Using Data from Two States
QuelleIn: Journal of Educational Measurement, 60 (2023) 2, S.173-201 (29 Seiten)Infoseite zur Zeitschrift
PDF als Volltext Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0022-0655
DOI10.1111/jedm.12354
SchlagwörterAcademic Achievement; Accountability; Decision Making; Computation; Sampling; Alternative Assessment; Measurement; Prediction; Weighted Scores; Accuracy; School District Size
AbstractThe simple average of student growth scores is often used in accountability systems, but it can be problematic for decision making. When computed using a small/moderate number of students, it can be sensitive to the sample, resulting in inaccurate representations of growth of the students, low year-to-year stability, and inequities for low-incidence groups. An alternative designed to address these issues is to use an Empirical Best Linear Prediction (EBLP), which is a weighted average of growth score data from other years and/or subjects. We apply both approaches to two statewide datasets to answer empirical questions about their performance. The EBLP outperforms the simple average in accuracy and cross-year stability with the exception that accuracy was not necessarily improved for very large districts in one of the states. In such exceptions, we show a beneficial alternative may be to use a hybrid approach in which very large districts receive the simple average and all others receive the EBLP. We find that adding more growth score data to the computation of the EBLP can improve accuracy, but not necessarily for larger schools/districts. We review key decision points in aggregate growth reporting and in specifying an EBLP weighted average in practice. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
Literaturbeschaffung und Bestandsnachweise in Bibliotheken prüfen
 

Standortunabhängige Dienste
Bibliotheken, die die Zeitschrift "Journal of Educational Measurement" besitzen:
Link zur Zeitschriftendatenbank (ZDB)

Artikellieferdienst der deutschen Bibliotheken (subito):
Übernahme der Daten in das subito-Bestellformular

Tipps zum Auffinden elektronischer Volltexte im Video-Tutorial

Trefferlisten Einstellungen

Permalink als QR-Code

Permalink als QR-Code

Inhalt auf sozialen Plattformen teilen (nur vorhanden, wenn Javascript eingeschaltet ist)

Teile diese Seite: