Quantitative methods II: Inferential statistics & test procedures

Bachelor

The students • are familiar with the basic principles and applications of analysis of variance (ANOVA) as well as relevant test procedures for rank and nominal data. • understand the techniques and assumptions of linear and non-linear regression analysis, including special models such as logistic regression. • can conduct and interpret statistical analyses using advanced regression models. • understand the fundamentals of questionnaire construction, including item and construct development, as well as the application of psychometric test procedures. • can apply and conduct quality criteria for psychological tests, supported by factor analyses and reliability analyses.

None

• Analysis of Variance (ANOVA) (one-way, two-way, and multifactorial; Types of Effects; Mean Comparison or t-Test; F-Test; Post-hoc Analyses; Analyses with and without repeated measures) • Methods for Ranked Data (Mann-Whitney U Test; Wilcoxon Test; Kruskal-Wallis H Test) and Methods for Nominal Data (Chi-Square Test; Effect Size) • Regression Analysis (univariate and multivariate linear regression; Non-linear Relationships; Dummy Variables; Interaction Variables; Assumptions Testing; Alternative Models to Linear Regression; Advanced Regression Models [e.g., Logit Regression, Quantile Regression, etc.]) • Questionnaire Construction and Testing Procedures (Criteria for Good Measurement; Variables, Items, and Constructs; Descriptive Statistical Item Analysis & Test Score Determination; Standards for Psychological Testing; Test Theories; Confirmatory & Exploratory Factor Analysis; Reliability Analysis; Semantic Differential) The deepening of (theoretical) content is achieved through practical examples including software support.

• Haslam, A. S., McGarty, C., Cruwys, T., & Steffens, N. K. (2024). Research methods and statistics in psychology. London: Sage. • Moosbrugger, H., & Kelava, A. (2020) (Hrsg.). Testtheorie und Fragebogenkonstruktion. Berlin: Springer • Rasch, B., Friese, M., Hofmann, W., & Naumann, E. (2021). Quantitative Methoden 2: Einführung in die Statistik für Psychologie, Sozial- & Erziehungswissenschaften. Berlin: Springer. • Rasch, B., Friese, M., Hofmann, W., & Naumann, E. (2021). Quantitative Methoden 1: Einführung in die Statistik für Psychologie, Sozial- & Erziehungswissenschaften. Berlin: Springer.

• Quiz • Seminar Paper

German

6

20

4.0

20% of the course will be covered through eLearning. This will involve a combination of online phases (inductive method for independent acquisition of knowledge and practicing tasks) and face-to-face sessions (deductive method providing assistance in the learning process and imparting knowledge through lectures).

2

STGL

1

QQM2

integrated lecture

Compulsory

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