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The impact of school leadership on school level factors: Validation of a causal model

Krüger, Meta L., Witziers, Bob, Sleegers, Peter·2007·School Effectiveness and School Improvement

Abstract

This study aims to contribute to a better understanding of the antecedents and effects of educational leadership, and of the influence of the principal's leadership on intervening and outcome variables. A path analysis was conducted to test and validate a causal model. The results show no direct or indirect effects of educational leadership on student commitment; instead a reciprocal relationship was found between student commitment and strategic leadership. A range of antecedent variables appears to have more effects on the school culture than educational leadership has. Finally, the principal's vision has a substantial impact on his or her educational leadership behaviours. The findings suggest the importance of cognitive processes in order to understand the complex chain of variables through which principals have an impact on school effectiveness and school improvement. The results also underline the importance of conceptualizing leadership from a contingency approach.

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Metadata

Authors
Krüger, M. L., Witziers, B., & Sleegers, P.
Venue
School Effectiveness and School Improvement
Published
2007-03
Volume
18
Issue
1
Pages
1-20
ISSN
  • 0924-3453 (ISSN-L)
  • 1744-5124
OpenAlex
W2020912617
Cited by
182
References
0
FWCI
34.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The impact of school leadership on school level factors: Validation of a causal model. https://app.cochat.ai/papers/10.1080/09243450600797638
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Krüger, M. L., Witziers, B., & Sleegers, P. (2007). The impact of school leadership on school level factors: Validation of a causal model. School Effectiveness and School Improvement. https://doi.org/10.1080/09243450600797638

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.