Christine Saelzer

Prof. Dr. Christine Saelzer

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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2020 in Educational Research Review
Verified
Journal Article
Closed access
FMFabian Müller
Fabian Müller
ADAlbert Denk
Albert Denk
ELEmily Lubaway
Emily Lubaway
Christine SaelzerChristine Saelzer
Christine Saelzer
AKAna Kozina
Ana Kozina
SJSvetlana Jurko
Svetlana Jurko


1 June 2020 in Studies in Educational Evaluation
Verified
Journal Article
Open access
TETimo Ehmke
Timo Ehmke
AHAnn-Katrin van den Ham
Ann-Katrin van den Ham
Christine SaelzerChristine Saelzer
Christine Saelzer
JHJörg Heine
Jörg Heine
MPManfred Prenzel
Manfred Prenzel

12 December 2024 in Education Sciences
Verified
Journal Article
Open access
PDF file
Christine SaelzerChristine Saelzer
Christine Saelzer
HRHeinrich Ricking
Heinrich Ricking
MFMichael Feldhaus
Michael Feldhaus
In many countries, indicators related to educational contexts, inputs, processes, and outputs serve as important benchmarks for allocating funding to educational institutions. Educational monitoring provides a valuable approach for gathering data on these indicators. This review offers a critical analysis of the current state of educational monitoring of school attendance in Germany, emphasizing the need for a more comprehensive monitoring system including such data. We provide an overview of the current state of research, propose a theoretical framework, and outline the key requirements for effective monitoring. From this foundation, we examine existing empirical evidence on the impact of monitoring school attendance. Our findings indicate that comprehensive and ongoing monitoring is essential for preventing and reducing student absenteeism. Moreover, we emphasize that consistent attendance monitoring is vital for educational policy and practice, offering considerable potential for school improvement. It functions as an early warning system, helping to identify students at risk of academic failure or dropping out. By systematically tracking attendance, schools can implement basic preventive measures and tailor interventions to address the specific needs of at-risk students, ultimately fostering academic achievement and engagement.

1 August 2018 in Educational Measurement: Issues and Practice
Verified
Journal Article
Open access
PDF file
JJJohn Jerrim
John Jerrim
PPPhilip Parker
Philip Parker
ACAlvaro Choi
Alvaro Choi
ACAnna Katyn Chmielewski
Anna Katyn Chmielewski
Christine SaelzerChristine Saelzer
Christine Saelzer
NSNikki Shure
Nikki Shure
The Programme for International Student Assessment (PISA) is an important international study of 15‐olds' knowledge and skills. New results are released every 3 years, and have a substantial impact upon education policy. Yet, despite its influence, the methodology underpinning PISA has received significant criticism. Much of this criticism has focused upon the psychometric scaling model used to create the proficiency scores. The aim of this article is to therefore investigate the robustness of cross‐country comparisons of PISA scores to subtle changes to the underlying scaling model used. This includes the specification of the item‐response model, whether the difficulty and discrimination of items are allowed to vary across countries (item‐by‐country interactions) and how test questions not reached by pupils are treated. Our key finding is that these technical choices make little substantive difference to the overall country‐level results.