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Internal Structure, Reliability and Invariance across Gender Using the Multidimensional School Climate Scale PACE-33

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  • Naiara Escalante Mateos

    (Department of Developmental and Educational Psychology, Education and Sport Faculty of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Eider Goñi Palacios

    (Department of Developmental and Educational Psychology, Education and Sport Faculty of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Arantza Fernández-Zabala

    (Department of Developmental and Educational Psychology, Education and Sport Faculty of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Iratxe Antonio-Agirre

    (Department of Developmental and Educational Psychology, Education and Sport Faculty of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

Abstract

The school climate is one of the keys to the efficiency, quality and improvement of the school. For this reason, numerous studies have highlighted the importance of evaluating this construct. However, there is still no measure in Spanish that evaluates the most relevant aspects of school climate in a valid and reliable way. This paper has two main objectives that try to overcome this limitation: (1) to analyse the internal structure and internal consistency reliability of the Students’ Perception of School Climate scale (escala Percepción del Alumnado sobre el Clima Escolar—PACE-33); and (2) examine its measurement and structural invariance across men and women. This study involved 1180 adolescents (mean age, M age = 15.37 years; standard deviation, SD = 1.90) selected by means of incidental sampling. The results obtained show that, among the models tested, the one corresponding to nine correlated factors shows the best adjustment to the data; furthermore, they note that it presents adequate internal consistency indices. The results also prove that this model is equivalent in men and women. These data support that the PACE-33 is a valid and reliable measure to assess the adolescents’ perception of the main aspects of the school climate.

Suggested Citation

  • Naiara Escalante Mateos & Eider Goñi Palacios & Arantza Fernández-Zabala & Iratxe Antonio-Agirre, 2020. "Internal Structure, Reliability and Invariance across Gender Using the Multidimensional School Climate Scale PACE-33," IJERPH, MDPI, vol. 17(13), pages 1-24, July.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4800-:d:380036
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    1. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    2. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    3. William Revelle & Richard Zinbarg, 2009. "Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 145-154, March.
    4. Torbjørn Torsheim & Oddrun Samdal & Mette Rasmussen & John Freeman & Robert Griebler & Wolfgang Dür, 2012. "Cross-National Measurement Invariance of the Teacher and Classmate Support Scale," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 145-160, January.
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    1. David Montero-Montero & Paula López-Martínez & Belén Martínez-Ferrer & David Moreno-Ruiz, 2021. "The Mediating Role of Classroom Climate on School Violence," IJERPH, MDPI, vol. 18(6), pages 1-8, March.

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