Dropout among prospective teachers: validation of a phase-oriented theoretical model.

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Title: Dropout among prospective teachers: validation of a phase-oriented theoretical model.
Authors: Wild, Steffen (AUTHOR), Reisch, Denise (AUTHOR), Kunina-Habenicht, Olga (AUTHOR), Grassinger, Robert (AUTHOR)
Source: Studies in Higher Education. Apr2026, Vol. 51 Issue 4, p736-750. 15p.
Subjects: Longitudinal method, Decision making, Educational support, School dropouts, Teacher education, Higher education, Measurement-model comparison
Geographic Terms: Germany
Abstract: Quitting the study program is a challenge for everyone involved. As argued in the literature, quitting a study program is the result of a longitudinal process. Bäulke et al. (2022) proposed an approach to dropout as a motivational decision process and provided preliminary empirical evidence. Further validation, such as replication of the measurement model or the correct order of the five assumed phases, is needed to overcome the limitations of previous studies using cross-sectional designs , and data from only one university. Data from 215 students, who have been enrolled in three different teacher education study programs at six universities of education in southern Germany, were collected at two measurement points. The analyses provide evidence for an appropriate measurement model and support the correct sequence of the first three phases as well as the first evidence for the assumed process of dropout of a study program. In addition to a better understanding of dropout as a longitudinal motivational decision process, this study supports the idea of identifying students in an early phase of their dropout and may lead to specific support for these students. [ABSTRACT FROM AUTHOR]
Copyright of Studies in Higher Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Dropout among prospective teachers: validation of a phase-oriented theoretical model.
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  Data: <searchLink fieldCode="JN" term="%22Studies+in+Higher+Education%22">Studies in Higher Education</searchLink>. Apr2026, Vol. 51 Issue 4, p736-750. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+support%22">Educational support</searchLink><br /><searchLink fieldCode="DE" term="%22School+dropouts%22">School dropouts</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+education%22">Teacher education</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+education%22">Higher education</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement-model+comparison%22">Measurement-model comparison</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Germany%22">Germany</searchLink>
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  Data: Quitting the study program is a challenge for everyone involved. As argued in the literature, quitting a study program is the result of a longitudinal process. Bäulke et al. (2022) proposed an approach to dropout as a motivational decision process and provided preliminary empirical evidence. Further validation, such as replication of the measurement model or the correct order of the five assumed phases, is needed to overcome the limitations of previous studies using cross-sectional designs , and data from only one university. Data from 215 students, who have been enrolled in three different teacher education study programs at six universities of education in southern Germany, were collected at two measurement points. The analyses provide evidence for an appropriate measurement model and support the correct sequence of the first three phases as well as the first evidence for the assumed process of dropout of a study program. In addition to a better understanding of dropout as a longitudinal motivational decision process, this study supports the idea of identifying students in an early phase of their dropout and may lead to specific support for these students. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Studies in Higher Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/03075079.2025.2488476
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      – Code: eng
        Text: English
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        PageCount: 15
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        Type: general
      – SubjectFull: Decision making
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      – SubjectFull: Educational support
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      – SubjectFull: School dropouts
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      – SubjectFull: Teacher education
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      – SubjectFull: Higher education
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      – SubjectFull: Measurement-model comparison
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      – SubjectFull: Germany
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      – TitleFull: Dropout among prospective teachers: validation of a phase-oriented theoretical model.
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            NameFull: Wild, Steffen
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            NameFull: Reisch, Denise
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            NameFull: Kunina-Habenicht, Olga
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              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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