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Evaluating the Psychometric Quality of School Connectedness Measures: Key Insights for Practitioners

Evaluating the Psychometric Quality of School Connectedness Measures: Key Insights for Practitioners

School connectedness, a critical factor influencing students' academic and socio-emotional outcomes, has garnered increasing attention from researchers and educators. The research article titled "Evaluating the psychometric quality of school connectedness measures: A systematic review" provides valuable insights into the effectiveness of various self-report measures used to assess school connectedness among students aged 6 to 14 years. This blog will distill key findings from the research and offer practical advice for practitioners seeking to improve their assessment strategies and interventions.

Key Findings from the Research

The systematic review evaluated the psychometric properties of 15 self-report measures of school connectedness using the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) taxonomy. The measures were assessed based on their internal consistency, content validity, structural validity, and hypothesis testing. Here are some key findings:

Practical Advice for Practitioners

Based on the research findings, here are some practical steps practitioners can take to improve their assessment strategies and interventions:

Encouraging Further Research

While the systematic review provides a robust foundation, there is a need for further research to refine and validate school connectedness measures. Practitioners are encouraged to contribute to this ongoing effort by:

To read the original research paper, please follow this link: Evaluating the psychometric quality of school connectedness measures: A systematic review.


Citation: Hodges, A., Cordier, R., Joosten, A., Bourke-Taylor, H., & Speyer, R. (2018). Evaluating the psychometric quality of school connectedness measures: A systematic review. PLoS ONE, 13(9), e0203373. https://doi.org/10.1371/journal.pone.0203373

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