TU-L0040 - Advanced Statistical Research Methods D, Lecture, 6.10.2021-4.5.2022

Guest access
Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

This is an advanced level course that is designed for student that have already some experience in using quantitative research designs and data analysis techniques in their own research. The goal of the course is to develop a more thorough understanding of how and why certain techniques are used and what principles these techniques are based on. The course focuses on longitudinal and multilevel designs and analyses. The techniques covered include all advanced econometrics and latent variable techniques used in Academy of Management Journal, Journal of Applied Psychology, Journal of Management, Journal of Operations Management, Journal of Organizational Behavior, The Leadership Quarterly, Organization Science, Personnel Psychology, and Strategic Management Journal as reported in a recent review1. The focus of the course will be on how these techniques can be used to empirically support causal claims taking particularly the issues of endogeneity and measurement validity into account.

Credits: 10

Schedule: 06.10.2021 - 04.05.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Mikko Rönkkö

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    This is a blended learning course that contains both online and in-person elements. All in-person elements are optional except for the final seminar days that contain student presentations, so it is possible to complete the course mostly online. While online participation is possible, we follow a schedule, which means that completing the course as independent self-study for credits is not possible.

    The course consists of eight units, that each take two to four weeks and contain video lectures, online and in-person discussions, and assignments. The number of credits varies between 6-10 depending on which assignments students choose to complete. The content of each course component is explained later in the course brochure. All data analysis assignments can be completed with Stata or R. Mplus can be used for some of the assignment or their parts.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Class participation, online participation, written assignments, data analysis assignments, pre-exam anad final exam.

Workload

  • valid for whole curriculum period:

    See syllabus.

DETAILS

Study Material

  • valid for whole curriculum period:

    Video lectures, empirical articles, methodological articles, books about methods. See the course syllabus for details.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Period:

    (2020, 2021) - No teaching

    2021-2022 Autumn and Spring I-V

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=TU-L0040

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

    The course is offered for doctoral students.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof