Advanced Quantitative Research Methods in Human Sciences

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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.
Professor Jouni Juntunen
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.
Other information                                                                                                                                                                                                                                                                                                                                                                                                                                                            

The number of students is limited (max 30 students).
After successfully completing Part A, students are able to understand the basics of advanced academic quantitiative research, to conduct such research in research groups and to begin Part B.
After successfully completing Part B, students are able to conduct quantitative academic reseach using confirmatory factor analysis (CFA), structural equation modeling (SEM) and model generating structural equation modeling (MGSEM). Participants need to bring their own laptop. For PART A, all software can be downloaded freely from the Internet. In PART B, the analyses will be prepared with MPlus software package, which every participant needs to acquire at his/her expense.

Planned dates: 8-12.6. If this can’t be done due to coronavirus break, alternative dates: 24.-28.8.

Times and Places will be announced later.

Last updated: 17.3.2020