040095 VK KFK ORPE:Advanced Data Analysis in Organization and Personnel (2015S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 16.02.2015 09:00 to Tu 24.02.2015 14:00
- Deregistration possible until Sa 14.03.2015 23:59
Details
max. 16 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Thursday
05.03.
15:00 - 17:00
Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
19.03.
17:15 - 19:15
Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
26.03.
15:00 - 17:00
Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
16.04.
15:00 - 17:00
Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
23.04.
17:15 - 19:15
Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
30.04.
15:00 - 17:00
Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
07.05.
15:00 - 16:30
PC-Seminarraum 7 Oskar-Morgenstern-Platz 1 3.Stock
Thursday
18.06.
08:00 - 20:00
Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
We will focus in this course on the domain of entrepreneurial activity and the publicly available dataset PSED 2 that provides by far the best picture of entrepreneurs, entrepreneurial activity, and success. All in all, knowledge gathered in previous methodological empirical classes can be applied to actual data sets and should provide a stepping-stone towards future research endeavors, such as an empirical master thesis. The course will be work intensive and involves a substantial part of independent empirical work. Previous successful completion of courses such as Data Analysis I (or equivalent) is highly recommended.
Assessment and permitted materials
(6) The final grade will be calculated as the weighted average of the grades for the seminar paper (50 %), for the presentations (40%), and for classroom participation (10 %)
Minimum requirements and assessment criteria
The object of this course is to engage students in independent empirical analyses of data and in setting up their own first short research paper. This course should mark your transition from being a student of economics, to being an applied managerial economist. Students will actively train the necessary steps for conducting an own empirical research project based on publicly available datasets and published research papers using the publicly available PSED II dataset. At the end of the course students should be able to design, implement, and evaluate empirical research. The course comprises data collection, research design, measurement and hypothesis testing.
Examination topics
1) There will be an introductory meeting of this course on 5th March, 2015 in seminar room 5. During this meeting, we will check the topic assignments. Thus, attendance is absolutely necessary. “No-show”-students may be replaced by students registered on the chair’s “waiting list” who agree to comply with the course rules
(2) Students are supposed to pick one of the topics and corresponding papers from the list file (which can be found via Moodle). Please email me your first and second preference until March 05th. No more than two students will be assigned to the same topic.
(3) Seminar papers must not exceed 20 pages (minimum 11 pica letter size; double-spaced typing; 3 cm margins all around; including all figures, tables, and references). They must use appropriate citation and reference rules and obey the general ethical principles of scientific work. Seminar papers are due on the last day of the final presentation on the 18th of Jun 2015. Every student must individually submit a seminar paper.
(4) Complete attendance of each session of the seminar, including the preparatory meeting, is obligatory. Absolutely no exceptions apply. Leaves will only be granted in cases of illnesses or if the person demanding a leave is required to participate in an official activity of the University, Faculty, or Institute. In the first case, the doctor’s medical certificate must be presented to the Chair immediately (i. e. latest by the first working day following the absence day). Failure to comply with this rule leads to a no-pass grade. Passing grades can generally not be earned by students who miss more than 10% of the total class-time.
(5) The provided study also serves as a starting point for the analyses. Students are expected to search for related articles, situate the research question in the wider context and provide additional individual analyses where deemed appropriate.
(6) The final grade will be calculated as the weighted average of the grades for the seminar paper (50 %), for the presentations (40%), and for classroom participation (10 %)
(2) Students are supposed to pick one of the topics and corresponding papers from the list file (which can be found via Moodle). Please email me your first and second preference until March 05th. No more than two students will be assigned to the same topic.
(3) Seminar papers must not exceed 20 pages (minimum 11 pica letter size; double-spaced typing; 3 cm margins all around; including all figures, tables, and references). They must use appropriate citation and reference rules and obey the general ethical principles of scientific work. Seminar papers are due on the last day of the final presentation on the 18th of Jun 2015. Every student must individually submit a seminar paper.
(4) Complete attendance of each session of the seminar, including the preparatory meeting, is obligatory. Absolutely no exceptions apply. Leaves will only be granted in cases of illnesses or if the person demanding a leave is required to participate in an official activity of the University, Faculty, or Institute. In the first case, the doctor’s medical certificate must be presented to the Chair immediately (i. e. latest by the first working day following the absence day). Failure to comply with this rule leads to a no-pass grade. Passing grades can generally not be earned by students who miss more than 10% of the total class-time.
(5) The provided study also serves as a starting point for the analyses. Students are expected to search for related articles, situate the research question in the wider context and provide additional individual analyses where deemed appropriate.
(6) The final grade will be calculated as the weighted average of the grades for the seminar paper (50 %), for the presentations (40%), and for classroom participation (10 %)
Reading list
Association in the course directory
Last modified: Mo 07.09.2020 15:28