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Developing an Organizational Climate Diagnostic Instrument for Junior High Schools in Taiwan

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  • Hui-Wen Vivian Tang
  • Lynne Lee

Abstract

The study was designed as a linked two-phase investigation, aiming to psychometrically develop and validate a Chinese version of the “Organizational Climate Diagnostic Instrument for Junior High Schools†(OCDI-JH) for use in Taiwan. Through extensive literature reviews, the complex phenomena of school climate were decomposed into a priori school climate construct in the first phase of the study. The data were collected from two separate samples of 287 junior high school principals/teachers/administrators for exploratory factor analysis (EFA) and 295 for confirmatory factor analysis (CFA), which were performed to scrutinize the psychometric properties of the OCDI-JH comprising 22 items clustered under five dimensions of (a) Safety (three items), (b) Academic (three items), (c) Relationships (seven items), (d) Institutional Environment (five items), and (e) Leadership (four items). Importance-Performance and Gap Analysis (IPGA) was applied in the second-phase elicitation study on 15 school faculty members to detect climate factors to be strengthened in a selected junior high school for school improvement. Focusing explicitly on contextually specific evaluation that facilitate school improvement, the OCDI-JH offers promise as a robust school climate diagnostic appraisal with practical implications for improving school effectiveness and implications for future research directions.

Suggested Citation

  • Hui-Wen Vivian Tang & Lynne Lee, 2021. "Developing an Organizational Climate Diagnostic Instrument for Junior High Schools in Taiwan," SAGE Open, , vol. 11(1), pages 21582440219, February.
  • Handle: RePEc:sae:sagope:v:11:y:2021:i:1:p:2158244021989267
    DOI: 10.1177/2158244021989267
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    References listed on IDEAS

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    1. Sung-Shun Weng & Yang Liu & Yen-Ching Chuang, 2019. "Reform of Chinese Universities in the Context of Sustainable Development: Teacher Evaluation and Improvement Based on Hybrid Multiple Criteria Decision-Making Model," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
    2. Tony Schellinck & Mary R. Brooks, 2014. "Improving port effectiveness through determinance/performance gap analysis," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(4), pages 328-345, July.
    3. Asep Chalim, 2016. "3D IPEA Model to Improving the Service Quality of Boarding School," Asian Social Science, Canadian Center of Science and Education, vol. 12(7), pages 119-119, July.
    4. Stefan Santokhie & Garth E. Lipps, 2020. "Development and Validation of the Tertiary Student Locus of Control Scale," SAGE Open, , vol. 10(1), pages 21582440198, February.
    5. Hsi-Sheng Wei & Ji-Kang Chen, 2010. "School Attachment Among Taiwanese Adolescents: The Roles of Individual Characteristics, Peer Relationships, and Teacher Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 95(3), pages 421-436, February.
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    Cited by:

    1. Ana Junça-Silva & Mara Freire, 2022. "The Role of Organizational Climate, and Work–Family Conflict in Burnout: The Case of Teachers," Sustainability, MDPI, vol. 14(21), pages 1-12, October.

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