Please use this identifier to cite or link to this item: https://doi.org/10.48548/pubdata-226
Original TitleMy Scientific Writing Competency: A Self-Assessment Tool
DOI10.48548/pubdata-226
Handle20.500.14123/258
Kinds of DataSurvey Instruments / Measuring Instruments
Context Materials / Supporting information
Resource TypeOther
CreatorKnorr, Dagmar  0000-0003-1924-8519 (Schreibzentrum / Writing Center, Leuphana Universität Lüneburg  02w2y2t16)
Edlich, Micha Gerrit Philipp  0000-0001-8028-9008 (Schreibzentrum / Writing Center, Leuphana Universität Lüneburg  02w2y2t16)
Description of the DatasetThis questionnaire is part of a collection of different reflection tools that were developed in the Writing Center of Leuphana University Lüneburg. The aim of this self-assessment questionnaire is to visualise the diverse requirements of scientific writing. It is aimed at people who write academically. The questionnaire covers the following areas: Dealing with the Writing Process, Reading, Developing Ideas and Questions, Drafting your text, Genre, Citations and Reference, Creating your Argument, Use of Language, Media, AI and Writing, Organising the Process. Statements are presented for each area, which are to be assessed using Likert scales. In addition, free text fields are provided for writing down further thoughts. On the one hand, the questionnaires serve to reflect on individual competencies and, on the other, they can be used as instruments for organisational development.
MethodsQuestionnaire (Paper)
KeywordsAkademisches Schreiben; Wissenschaftliches Schreiben; Reflexion; Schreibprozess; Kompetenzentwicklung; Schreiben; Academic Writing; Scientific Writing; Reflection; Writing Process; Competence Development; Writing
Thematic ClassificationWissenschaftliches Schreiben
GeolocationNo information
Publication Year2024
Published byMedien- und Informationszentrum, Leuphana Universität Lüneburg
Superordinate Data Collection Schreibzentrum / Writing Center: Reflexionsinstrumente | Reflection Toolkit
Related Resources Relations of the dataset
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