Model Adequacy Checking for Applying Harmonic Regression to Assessment Quality Control. Research Report. ETS RR-21-13

Autor/inn/en	Qian, Jiahe; Li, Shuhong
Titel	Model Adequacy Checking for Applying Harmonic Regression to Assessment Quality Control. Research Report. ETS RR-21-13
Quelle	In: ETS Research Report Series, (2021), (26 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2330-8516
Schlagwörter	Models; Regression (Statistics); Language Tests; Quality Control; Educational Assessment; Prediction; Error of Measurement; Goodness of Fit; Sampling + Suchen Sie Ihr Suchwort? Analogiemodell; Regression; Regressionsanalyse; Language test; Sprachtest; Qualitätskontrolle; Education; assessment; Bewertungssystem; Vorhersage; Messfehler
Abstract	In recent years, harmonic regression models have been applied to implement quality control for educational assessment data consisting of multiple administrations and displaying seasonality. As with other types of regression models, it is imperative that model adequacy checking and model fit be appropriately conducted. However, there has been no literature on how to perform a comprehensive model adequacy evaluation when applying harmonic regression models to sequential data with seasonality in the educational assessment field. This paper is intended to fill this gap with an illustration of real data from an English language assessment. Two types of cross-validation, leave-one-out and out-of-sample, were designed to measure prediction errors and check model validation. Three types of R-squared (R[superscript 2], R[superscript 2][subscript adj], and R[superscript 2][subscript pred]) and various residual diagnostics were applied to check model adequacy and model fitting. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01