Vorlesungsverzeichnis
Suchen Sie hier über ein Suchformular im Vorlesungsverzeichnis der Leuphana.
Lehrveranstaltungen
Quantitative Research Methods (#1für M&SAaF) (Übung)
Dozent/in: Christoph Wegener
Termin:
14-täglich | Dienstag | 12:15 - 13:45 | 02.04.2024 - 05.07.2024 | C 12.111 Seminarraum
Inhalt: - Stata software - Descriptive statistics - Ordinary least squares (OLS) regression - Econometric analysis for longitudinal, cross-sectional, and basic panel data
Quantitative Research Methods (für M&SAaF) (Vorlesung)
Dozent/in: Christoph Wegener
Termin:
wöchentlich | Dienstag | 10:15 - 11:45 | 02.04.2024 - 05.07.2024 | C 12.112 Seminarraum
Inhalt: Main topics and learning objectives: Core element of the course is to learn how to use databases and statistical software in order to enable students to conduct their own empirical analyses. At the same time, students learn important statistical methods and practice them by applying the learned concepts to practical examples. The lecture is supplemented with presentations and discussions of the methodological background of current research projects.
Quantitative Research Methods (M&E) - Übung (Übung)
Dozent/in: Laura Venz
Termin:
14-täglich | Dienstag | 12:15 - 13:45 | 02.04.2024 - 05.07.2024 | C 14.006 Seminarraum
Inhalt: Planning and preparing a study: The steps of a preregistration Analysing data (in SPSS, students are free to use other tools) - Mean differences - Correlation and regression - Mediation - Moderation - Moderated mediation
Quantitative Research Methods (M&E) - Vorlesung (Vorlesung)
Dozent/in: Laura Venz
Termin:
wöchentlich | Dienstag | 10:15 - 11:45 | 02.04.2024 - 05.07.2024 | C 14.006 Seminarraum
Inhalt: The module Quantitative Research Methods deals with the theoretical background and statistical analyses necessary to understand quantitative approaches in management, organizational behavior, and entrepreneurship research. Specifically, the course deals with measurement and statistical analysis of numerical data, including deductive hypothesis testing, modeling linear relationships, and multivariate analysis. This course has the following aims: 1) It will help students to grasp the importance of quantitative methods in management, organizational behavior, and entrepreneurship. 2) It will give students the opportunity to understand the links between the statistical background and its practical implementation. 3) It will offer students the possibility to acquire basic knowledge in statistical analysis 4) It will provide students with the opportunity to design and implement quantitative research methods LECTURE CONTENT --- Building a Quantitative Research Model: Theory utilization and research models (“conceptualization”), quantitative research designs ("procedure"), and variable measurement (“operationalization”) Analyzing a Quantitative Research Model: Linear Models including moderation, mediation and their combination Research Ethics and Open Science Understanding and Evaluating Quantitative Research Papers --- EXERCISES Apply the concepts from the lecture to real-world research models, data, and publications.