|Name of the course||Advanced Quantitative Research Methods in Human Sciences|
|Timing||Planned dates: 8-12.6. If this can’t be done due to coronavirus break, alternative dates: 24.-28.8.|
|Post Doc||Mari Juntunen|
|Organizing unit(s)||Department of Marketing, Management and International Business|
|ECTS Credits||Part A: 2 ECTS credits
Part B: 3 ECTS credits
|Language of instruction||English|
|Learning outcomes||Upon successful completion of the course, students are able to conduct quantitative researc h in human sciences using advanced methods. Students are able to design novel quantitative research by integrating and rearranging concepts from existing research. Students are able to formulate a forward-thinking plan for data gathering, assess the quality of the data and analyze the data with basic and advanced quantitative methods. Students are able to evaluate the research process and findings of quantitative research. Students are able to prepare for giving an academic presentation and create a manuscript of academic publication in terms of quantitative research.|
|Contents||Validity, reliability and generalizability; designing theoretical approach and data collection; perspectives on measurement and model robustness; using methods for assessing the data; analyzing data using basic quantitative analyzes (e.g. ANOVA, Kruskal-Wallis test) and using advanced quantitative analyzes (e.g. confirmatory factor analysis, structural equation modeling, model generating structural equation modeling); scientific reporting of advanced quantitative research.|
|Mode of delivery||Face-to-face teaching and independent learning|
|Learning activities and teaching methods (hours)||Part A: Lectures and exercises (24 h), independent course work (12h).
Part B: Independent (oral and) written course work (academic presentation and course report or scientific journal/conference article manuscript, 81 h).
|Target group||Doctoral students in human sciences|
|Prerequisites and co-requisites||Earlier experience of quantitative research is beneficial but not necessary.|
|Recommended optional programme components||The course is an independent entity and does not require additional studies carried out at the same time.|
|Recommended or required reading||Course material assigned by lecturers.|
|Assessment methods and criteria||Part A: Active participation in lectures and a coursework given by lecturers.
Part B: Scientific manuscript for academic journal or conference.
The assessment of the course unit is based on the learning outcomes of the course unit.
|Grading||The course utilizes a numerical grading scale 1-5. In the numerical scale zero stands for a fail.|
|Person responsible||Dr. Jouni Juntunen and Dr. Mari Juntunen|
|Working life cooperation||Part A: No
Part B: May contain, depending on individual students and their research topics.
The number of students is limited (max 30 students).
Planned dates: 8-12.6. If this can’t be done due to coronavirus break, alternative dates: 24.-28.8.
Last updated: 17.3.2020