Evidence map›Paper›PMID 32528352›Full record

ArticleFrontiers in psychology2020

Reanalysis of the German PISA Data: A Comparison of Different Approaches for Trend Estimation With a Particular Emphasis on Mode Effects.

Alexander Robitzsch, Oliver Lüdtke, Frank Goldhammer, Ulf Kroehne, Olaf Köller

Abstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexander RobitzschIPN - Leibniz Institute for Science and Mathematics Education, Kiel, Germany.
Oliver LüdtkeIPN - Leibniz Institute for Science and Mathematics Education, Kiel, Germany.
Frank GoldhammerDIPF - Leibniz Institute for Research and Information in Education, Frankfurt, Germany.
Ulf KroehneDIPF - Leibniz Institute for Research and Information in Education, Frankfurt, Germany.
Olaf KöllerIPN - Leibniz Institute for Science and Mathematics Education, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

International large-scale assessments, such as the Program for International Student Assessment (PISA), are conducted to provide information on the effectiveness of education systems. In PISA, the target population of 15-year-old students is assessed every 3 years. Trends show whether competencies have changed in the countries between PISA cycles. In order to provide valid trend estimates, it is desirable to retain the same test conditions and statistical methods in all PISA cycles. In PISA 2015, however, the test mode changed from paper-based to computer-based tests, and the scaling method was changed. In this paper, we investigate the effects of these changes on trend estimation in PISA using German data from all PISA cycles (2000-2015). Our findings suggest that the change from paper-based to computer-based tests could have a severe impact on trend estimation but that the change of the scaling model did not substantially change the trend estimates.

Indexed as

educational measurementlarge-scale assessmentlinkingmode effectsscaling

Identifiers

PMID32528352
PMCPMC7264417

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.