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Evaluating the psychometric quality of school connectedness measures: A systematic review
INTRODUCTION: There is a need to comprehensively examine and evaluate the quality of the psychometric properties of school connectedness measures to inform school based assessment and intervention planning. OBJECTIVE: To systematically review the literature on the psychometric properties of self-rep...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133283/ https://www.ncbi.nlm.nih.gov/pubmed/30204791 http://dx.doi.org/10.1371/journal.pone.0203373 |
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author | Hodges, Amy Cordier, Reinie Joosten, Annette Bourke-Taylor, Helen Speyer, Renée |
author_facet | Hodges, Amy Cordier, Reinie Joosten, Annette Bourke-Taylor, Helen Speyer, Renée |
author_sort | Hodges, Amy |
collection | PubMed |
description | INTRODUCTION: There is a need to comprehensively examine and evaluate the quality of the psychometric properties of school connectedness measures to inform school based assessment and intervention planning. OBJECTIVE: To systematically review the literature on the psychometric properties of self-report measures of school connectedness for students aged six to 14 years. METHODS: A systematic search of five electronic databases and gray literature was conducted. The COnsensus-based Standards for the selection of heath Measurement INstruments (COSMIN) taxonomy of measurement properties was used to evaluate the quality of studies and a pre-set psychometric criterion was used to evaluate the overall quality of psychometric properties. RESULTS: The measures with the strongest psychometric properties was the School Climate Measure and the 35-item version Student Engagement Instrument exploring eight and 12 (of 15) school connectedness components respectively. CONCLUSIONS: The overall quality of psychometric properties was limited suggesting school connectedness measures available require further development and evaluation. |
format | Online Article Text |
id | pubmed-6133283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61332832018-09-27 Evaluating the psychometric quality of school connectedness measures: A systematic review Hodges, Amy Cordier, Reinie Joosten, Annette Bourke-Taylor, Helen Speyer, Renée PLoS One Research Article INTRODUCTION: There is a need to comprehensively examine and evaluate the quality of the psychometric properties of school connectedness measures to inform school based assessment and intervention planning. OBJECTIVE: To systematically review the literature on the psychometric properties of self-report measures of school connectedness for students aged six to 14 years. METHODS: A systematic search of five electronic databases and gray literature was conducted. The COnsensus-based Standards for the selection of heath Measurement INstruments (COSMIN) taxonomy of measurement properties was used to evaluate the quality of studies and a pre-set psychometric criterion was used to evaluate the overall quality of psychometric properties. RESULTS: The measures with the strongest psychometric properties was the School Climate Measure and the 35-item version Student Engagement Instrument exploring eight and 12 (of 15) school connectedness components respectively. CONCLUSIONS: The overall quality of psychometric properties was limited suggesting school connectedness measures available require further development and evaluation. Public Library of Science 2018-09-11 /pmc/articles/PMC6133283/ /pubmed/30204791 http://dx.doi.org/10.1371/journal.pone.0203373 Text en © 2018 Hodges et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hodges, Amy Cordier, Reinie Joosten, Annette Bourke-Taylor, Helen Speyer, Renée Evaluating the psychometric quality of school connectedness measures: A systematic review |
title | Evaluating the psychometric quality of school connectedness measures: A systematic review |
title_full | Evaluating the psychometric quality of school connectedness measures: A systematic review |
title_fullStr | Evaluating the psychometric quality of school connectedness measures: A systematic review |
title_full_unstemmed | Evaluating the psychometric quality of school connectedness measures: A systematic review |
title_short | Evaluating the psychometric quality of school connectedness measures: A systematic review |
title_sort | evaluating the psychometric quality of school connectedness measures: a systematic review |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133283/ https://www.ncbi.nlm.nih.gov/pubmed/30204791 http://dx.doi.org/10.1371/journal.pone.0203373 |
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