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Estimating the predictive validity of school grades with hierarchical linear modeling
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Title: Estimating the predictive validity of school grades with hierarchical linear modeling

Creator:

Skórska, Paulina ; Świst, Karolina ; Szaleniec, Henryk

Date:

2014

Resource Type:

article

Publisher:

Educational Research Institute

Abstract:

The issue of predictive validity of school grades relative to large-scale standardized tests is described. The extent to which the results from standardized external exams at the end of lower secondary school from 2012–2013 can be predicted on the basis of school grading (both single and average grades) was estimated. Due to the hierarchical structure of analysed data, two-level linear regression models were used. In order to estimate the level of class selectivity, IRT modelling was used. The results indicated that single school grades and their averages are very good predictors for standardized test results, both at individual and class levels. Further, intra-class correlation coefficients demonstrated a high degree of class selectivity. The results are practically applicable to high school recruitment, particularly to student choice of class.

Coverage:

21st century

Language:

pol

Rights:

Creative Commons BY 4.0

Format:

application/pdf

Resource Identifier:

oai:jbc.bj.uj.edu.pl:409076

ISSN:

0239-6858

Subject and keywords:

predictive validity hierarchical linear modelling school grading class selectivity standardized test

Object collections:

Last modified:

Oct 26, 2021

In our library since:

Oct 19, 2017

Number of object content hits:

9

Number of object content views in PDF format

6

All available object's versions:

https://www.jbc.bj.uj.edu.pl/publication/433960

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Szacowanie trafności predykcyjnej ocen szkolnych z wykorzystaniem hierarchicznego modelowania liniowego Oct 26, 2021

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Phone

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E-Mail

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