MNGT-E1003 - Quantitative Methods, Lecture, 26.2.2024-10.4.2024

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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 course is designed to introduce students in various areas of business to the principles and practice of quantitative research. The course covers the fundamentals of the research process, the statistical analysis and modeling of data, and quantitative approaches to research, all with a focus on issues specific to management studies and an emphasis on hands-on experience. In addition, this course provides a ‘toolbox’ of statistical procedures and analyses which the student can practice and apply. Upon successful completion of this course, you should:

  • Be better able to interpret and critically assess methodological execution of empirical management studies
  • Understand the uses and limitations of common tools for analyzing quantitative data
  • Develop competence in collecting, modeling, and interpreting quantitative data
  • Be prepared to utilize obtained methodological skills in master’s thesis and/or doctoral dissertation

Credits: 3

Schedule: 26.02.2024 - 10.04.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Anastasia Koulouri

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:

    Topics covered in the course include the fundamentals of quantitative research design, such as hypotheses formulation and data collection; preparation of survey data, such as importation into SPSS, variable transformations, and reliability assessment of multi-item measurement scales; descriptive statistics, such as means, standard deviations, and correlations; and hypotheses tests, such as t-tests, ANOVA, linear regression, and indirect effects (moderation, mediation) analysis. Practical examples and exercises are embedded in the course structure.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Based on attendance and successful completion of assignments.

Workload

  • valid for whole curriculum period:

    Lectures introducing theoretical concepts and techniques, and providing the opportunity to apply them in practice using SPSS.

    In first week (Period II or IV), there are two lectures, the first one is an introductory lecture organized together with the course MNGT-E1011 Qualitative Methods.

    Mandatory attendance to 5 out of 7 lectures.

    Assessment based on individual assignments.

DETAILS

Study Material

  • valid for whole curriculum period:

    Course materials (including slides, SPSS practice notes, exercises and associated commentary, datasets) as well as videos, books and journal articles.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2022-2023 Spring IV
    2023-2024 Autumn II
    2023-2024 Spring IV

    Enrollment :

    Students are admitted to the course in the following priority order: 1) People Management and Organizational Development / Creative Sustainability / Global Management / Management and International Business students, 2) other students.

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

Aalto University Code of Academic Integrity and Handling Violations Thereof