کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4937893 | 1434670 | 2017 | 76 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Development of a dual school climate and school identification measure-student (SCASIM-St)
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
روانشناسی
روان شناسی کاربردی
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چکیده انگلیسی
Extensive but separate bodies of research in education concern the constructs of school climate and school connectedness/belonging. In the interests of advancing a more integrated approach, a new measurement tool is developed- the School Climate and School Identification Measure-Student (SCASIM-St). This scale builds on the Moos (1973) framework which assesses relationships, personal growth, and system management in schools. The social identity approach to group processes (Tajfel & Turner, 1979; Turner, Hogg, Oakes, Reicher, & Wetherell, 1987) is used to extend work on school connectedness and belonging through the inclusion of a measure of social identification. A range of methods across three studies are designed to assess the reliability and validity of SCASIM-St (NÂ =Â 7209, Australian grades 7-10 students). These include confirmatory factor analysis, test-retest analysis, and convergent validity (Study 1 and 2). Additionally measurement invariance tests for student sub-groups regarding gender, grade level, and non-English language, were employed in Study 3. It also included criterion validity analysis using multilevel models for the key outcome measures of students' academic achievement, well-being, and aggressive behaviors. All of these analyses indicate that SCASIM-St is an effective measure. Theoretical and practical implications as well as future directions are outlined.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Contemporary Educational Psychology - Volume 49, April 2017, Pages 91-106
Journal: Contemporary Educational Psychology - Volume 49, April 2017, Pages 91-106
نویسندگان
Eunro Lee, Katherine J. Reynolds, Emina Subasic, Dave Bromhead, Hanzhang Lin, Vladmir Marinov, Michael Smithson,