FH-Prof. Mag. Dr. Simone Grandy Academic Staffsimone.grandy@fh-campuswien.ac.at T: +43 1 606 68 77-4012 F: +43 1 606 68 77-4009 Room: A.2.19 Favoritenstraße 226 1100 WienLectures 2022/23Applied Nursing Science> Quantitative and qualitative research methods ILV Healthcare and Nursing, practice mentoring moreQuantitative and qualitative research methods ILVLector: FH-Prof.in Mag.a Dr.in Simone Grandy, Mag. Dr. Paulina Wosko2SWS2ECTS> Qualitative research methods ILV Child and Adolescent Nursing moreQualitative research methods ILVLector: FH-Prof.in Mag.a Dr.in Simone Grandy1SWS1ECTSLecture contents- Basics of qualitative research - Quality criteria of qualitative research - Overview of qualitative research methods in nursing science (focus groups, narrative interview, episodic interview, observation) - Overview of selected qualitative evaluation methods in nursing science (grounded theory, content analysis, topic analysis) - Exemplary evaluation of interview excerpts with content analysis methods - Presentation of software programs for qualitative data analysis (MAXQDA®, ATLAS.ti®) - Planning and procedure of the qualitative research process - Research ethicsAssessment methodsModule examTeaching methodsLecture with activating methodsLanguageGerman> Quantitative research methods and statistics ILV Child and Adolescent Nursing moreQuantitative research methods and statistics ILVLector: FH-Prof.in Mag.a Dr.in Simone Grandy1SWS1ECTSLecture contents- Basics of quantitative research and planning of research projects - Quality criteria of quantitative research - Concepts of sample selection - Basics of questionnaire construction - Overview of quantitative research designs in nursing science (experimental designs such as RCT or quasi-experiment; non-experimental designs such as correlation studies or meta-analyses) - Basics of descriptive statistics (statistical parameters and measures of dispersion) - Basics of inferential statistics (significance, correlation, hypothesis testing, frequency and cross-tabulations) - Introduction to software programs for quantitative data analysis (SPSS® and Microsoft® Exel®) - Research ethicsAssessment methodsModule examTeaching methodsLecture with activating methodsLanguageGermanPublications The publications of Simone Grandy written at FH Campus Wien can be found in our publication database, others in the personal web space.
> Quantitative and qualitative research methods ILV Healthcare and Nursing, practice mentoring moreQuantitative and qualitative research methods ILVLector: FH-Prof.in Mag.a Dr.in Simone Grandy, Mag. Dr. Paulina Wosko2SWS2ECTS
> Qualitative research methods ILV Child and Adolescent Nursing moreQualitative research methods ILVLector: FH-Prof.in Mag.a Dr.in Simone Grandy1SWS1ECTSLecture contents- Basics of qualitative research - Quality criteria of qualitative research - Overview of qualitative research methods in nursing science (focus groups, narrative interview, episodic interview, observation) - Overview of selected qualitative evaluation methods in nursing science (grounded theory, content analysis, topic analysis) - Exemplary evaluation of interview excerpts with content analysis methods - Presentation of software programs for qualitative data analysis (MAXQDA®, ATLAS.ti®) - Planning and procedure of the qualitative research process - Research ethicsAssessment methodsModule examTeaching methodsLecture with activating methodsLanguageGerman
> Quantitative research methods and statistics ILV Child and Adolescent Nursing moreQuantitative research methods and statistics ILVLector: FH-Prof.in Mag.a Dr.in Simone Grandy1SWS1ECTSLecture contents- Basics of quantitative research and planning of research projects - Quality criteria of quantitative research - Concepts of sample selection - Basics of questionnaire construction - Overview of quantitative research designs in nursing science (experimental designs such as RCT or quasi-experiment; non-experimental designs such as correlation studies or meta-analyses) - Basics of descriptive statistics (statistical parameters and measures of dispersion) - Basics of inferential statistics (significance, correlation, hypothesis testing, frequency and cross-tabulations) - Introduction to software programs for quantitative data analysis (SPSS® and Microsoft® Exel®) - Research ethicsAssessment methodsModule examTeaching methodsLecture with activating methodsLanguageGerman