Contact

Project leader

Prof Dr Andrea Strübind
Vice President for Studies and Teaching

Isabel Müskens
University Strategy Unit Focus on Teaching

Management team (advisory board)

Prof Dr Katharina Al-Shamery

Prof Dr Katrin Kleinschmidt-Schinke

Prof Dr Astrid Nieße

Prof Dr Andreas Rauh

Prof Dr Mark Schweda

Prof Dr Mark Siebel

Prof Dr Olaf Zawacki-Richter

PD Dr Wolfgang Müskens

Heike Andermann

Björn Gebert

Project coordination

Peter England
University Strategy Unit Focus on Teaching

Student assistants

Patrick Bruns

Lena Herrmann

Finn Remmers

Wiebke Johanna Legtenborg

Ntsanyem Njeukwa Bounkeu

Vanessa Reichenberg

Project evaluation

Department for Study Affairs, Internal Evaluation

Academic support for participation

Dr Nadine Hüllbrock
School I

Dr Esther Jahns
School III

Sarah Meier
School III

Scientific support development area 2

Prof Dr Olaf Zawacki-Richter
Faculty I, Institute of Educational Sciences

Digital support programmes

Alena Klenke and Tim Baalmann
School I

Hardo Schencke
School II

Vanessa Barbagiovanni Bugiacca
School III

Katharina Schmees
School IV

Anja Wübben
School V

Dr Susanne Quintes
School VI

Tim Lüdeke
ZSKB

Teaching Lab

Alena Klenke and Tim Baalmann
School I

Hardo Schencke
School II

Vanessa Barbagiovanni Bugiacca
School III

Katharina Schmees
School IV

Anja Wübben
School V

Dr Susanne Quintes
School VI

Max-Simon Gündert
Department for Study Affairs , University Didactics

Learning Lab

Friederike Ulses
BIS

Petra Janssen
BIS

Lars Seehausen
BIS, Media Technology

Open Educational Resources (OER)

Dr Wolfgang Müskens
Competence area crediting

Susanne Schorer

AskOne portal (sub-project has been completed)

Rami Jasim
IT services

Tabea Weinberg
BIS

Ann Louise Yanich
IT services

OER Learning maps methodology and statistics

Here you will find the contents of the learning map SPSS, R and methods:

SPSS

Station 1: Variables

General

Tutorial 0 Codeplan

This video shows a general introduction to creating a code plan in preparation for data entry in SPSS (need for a code plan, question types, transfer to variables and variable types).

Author:inside: /
Licence: CC BY 3.0
Download link

Tutorial 1 Structure SPSS

This video shows a general introduction to the structure of SPSS (navigation, most important commands, data import, data view, variable view, task window).

Author:inside: /
Licence: CC BY 3.0
Download link

SPSS basics

The pdf file shows a brief overview of the modules in SPSS (entering and analysing data, results) and the different file types (.sav, .sps, .spv).
Note: only the first page is displayed in the preview, the whole file is available via the download

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

SPSS

The codebook

The video shows the creation of a codebook, i.e. it shows how the questionnaire is coded in order to be able to enter the data into SPSS.

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

SPSS and data entry

The video shows the data input in SPSS (first steps in SPSS, data window and data input, syntax window, output and the programme structure).

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

Data preparation and cleansing

The video shows data preparation and cleansing in SPSS.

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

Station 2: Enter data

General

Tutorial 2 Data entry

This video shows data entry in SPSS.

Author:inside: /
Licence: CC BY 3.0
Download link

Tutorial 3 Outliers and boxplot

This video shows data cleansing and the identification of outliers in SPSS.

Author:inside: /
Licence: CC BY 3.0
Download link

SPSS basics

The pdf file shows a brief overview of the modules in SPSS (entering and analysing data, results) and the different file types (.sav, .sps, .spv).
Note: only the first page is shown in the preview, the whole file is available via the download

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

SPSS

SPSS and data entry

The video shows the data input in SPSS (first steps in SPSS, data window and data input, syntax window, output and the programme structure).

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

Station 3: Recoding data

SPSS

Data manipulation

The video shows data manipulation in SPSS (Recode, Compute and If command).

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

Station 4: Calculate variables

SPSS

Data manipulation

The video shows data manipulation in SPSS (Recode, Compute and If command).

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

Station 6: Analyse

General

Tutorial 4 Frequency analysis

This video shows the frequency analysis in SPSS.

Author:inside: /
Licence: CC BY 3.0
Download link

SPSS basics

The pdf file shows a brief overview of the modules in SPSS (entering and analysing data, results) and the different file types (.sav, .sps, .spv).
Note: only the first page is displayed in the preview, the whole file is available via the download

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

SPSS

Data description and simple data analysis

The video shows the data description and simple analyses in SPSS.

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

Station 7: Graphics

General

Tutorial 6 Filter setting

This video shows the data selection for filtering in SPSS.

Author:inside: /
Licence: CC BY 3.0
Download link

SPSS basics

The pdf file shows a brief overview of the modules in SPSS (entering and analysing data, results) and the different file types (.sav, .sps, .spv).
Note: only the first page is displayed in the preview, the whole file is available via the download

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

SPSS

Data description and simple data analysis

The video shows the data description and simple analyses in SPSS.

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

Station 8: Working with syntax

SPSS

Data description and simple data analysis

The video shows the data description and simple analyses in SPSS.

Author:inside: Paul Borsdorf
Licence: CC BY-NC-SA 3.0
Download link

R

Station 1: Install

General

Political science statistics with R

This website provides an introduction to the R programming language and the independent analysis of data.

Authors:inside: Christoph Hönnige, Philipp Meyer, Christoph Grawe & Laura Brune
Licence: CC BY 4.0

Statistics with R and RStudio - A reference book for health professionals

This book provides an introduction to the statistical software R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

R

Installing and setting up R and RStudio

This self-study course shows how to install and set up R and RStudio.

Authors:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Station 2: Basic functions

General

Political science statistics with R

This website provides an introduction to the R programming language and the independent analysis of data.

Authors:inside: Christoph Hönnige, Philipp Meyer, Christoph Grawe & Laura Brune
Licence: CC BY 4.0

Statistics with R and RStudio - A reference book for health professionals

This book provides an introduction to the statistical software R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

Applied exercises in R

This book shows the application of exercises in R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

R

Properties of variables and data records

This part of the self-study course shows the properties of variables and data sets in R.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Overview of commands in R

This overview sheet shows the most important commands in R.

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

Station 3: Vectors

General

Political science statistics with R

This website provides an introduction to the R programming language and the independent analysis of data.

Authors:inside: Christoph Hönnige, Philipp Meyer, Christoph Grawe & Laura Brune
Licence: CC BY 4.0

Statistics with R and RStudio - A reference book for health professionals

This book provides an introduction to the statistical software R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

R

Properties of variables and data records

This part of the self-study course shows the properties of variables and data sets in R.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Statistics - raw data and informational complexity

This video shows raw data and informational complexity.

Author:inside: Alexander Silbersdorff
Licence: CC BY 4.0
Download link

Station 4: Matrices

General

Political science statistics with R

This website provides an introduction to the R programming language and the independent analysis of data.

Authors:inside: Christoph Hönnige, Philipp Meyer, Christoph Grawe & Laura Brune
Licence: CC BY 4.0

Statistics with R and RStudio - A reference book for health professionals

This book provides an introduction to the statistical software R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

Station 5: Data Input

General

Political science statistics with R

This website provides an introduction to the R programming language and the independent analysis of data.

Authors:inside: Christoph Hönnige, Philipp Meyer, Christoph Grawe & Laura Brune
Licence: CC BY 4.0

Statistics with R and RStudio - A reference book for health professionals

This book provides an introduction to the statistical software R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

R

Properties of variables and data records

This part of the self-study course shows the properties of variables and data sets in R.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Station 6: Dataframes

General

Political science statistics with R

This website provides an introduction to the R programming language and the independent analysis of data.

Authors:inside: Christoph Hönnige, Philipp Meyer, Christoph Grawe & Laura Brune
Licence: CC BY 4.0

Statistics with R and RStudio - A reference book for health professionals

This book provides an introduction to the statistical software R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

R

Properties of variables and data records

This part of the self-study course shows the properties of variables and data sets in R.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Station 7: Graphics

General

Political science statistics with R

This website provides an introduction to the R programming language and the independent analysis of data.

Authors:inside: Christoph Hönnige, Philipp Meyer, Christoph Grawe & Laura Brune
Licence: CC BY 4.0

Statistics with R and RStudio - A reference book for health professionals

This book provides an introduction to the statistical software R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

Applied exercises in R

This book shows the application of exercises in R.

Author:inside: Jörg große Schlarmann
Licence: CC BY-NC-SA 4.0
Download link

R

Data visualisation

This part of the self-study course shows data visualisation in R.

Author:inside: Sebastian Schnettler & Svenja Heinecke
Licence: CC BY 4.0

Visualisation

This video shows the visualisation of data in R.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Linear regression

This video shows the linear regression.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Methods

Station 1: Basics

General

Emprical research

This video shows an introduction to emprirical research.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Statistics - Overview of various programmes

This presentation provides an overview of various statistics programmes.

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

Statistics - visualise and summarise data

This video shows the visualisation and summarisation of data.

Author:inside: Alexander Silbersdorff
Licence: CC BY 4.0
Download link

Station 2: Research question

General

Find a research question

These five videos show the process of formulating and finding a suitable question.

Author:inside: Hamburg Open Online University - HOOU
Licence: CC BY-NC-SA 4.0

Station 3: Hypotheses

General

Emprical research

This video shows an introduction to emprirical research.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 4: Variables

General

Emprical research

This video shows an introduction to emprirical research.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 5: Scale levels

General

Emprical research

This video shows an introduction to emprirical research.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Data types from the perspective of statistics

This video shows the data types from the perspective of statistics.

Author:inside: Malte Persike
Licence: CC BY 4.0
Download link

An introduction to scale levels

This video shows the introduction to scale levels.

Author:inside: Malte Spannagel
Licence: CC BY 4.0
Download link

Station 12: Graphics

General

Data preparation in Excel

The video shows the data preparation in Excel.

Author:inside: /
Licence: CC BY 3.0
Download link

Scatter diagrams

This video shows an introduction to scatter plots.

Author:inside: Antje Schweitzer
Licence: CC BY 4.0
Download link

Statistics (data structure, distribution function & graphical representation)

This video shows the data structure, distribution function and graphical representation in the statistics section.

Author:inside: Thomas Bauer
Licence: CC BY 4.0
Download link

R

Data visualisation

This part of the self-study course shows data visualisation in R.

Author:inside: Sebastian Schnettler & Svenja Heinecke
Licence: CC BY 4.0

Visualisation

This video shows the visualisation of data in R.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Linear regression

This video shows the linear regression.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Here you will find the contents of the learning map for descriptive statistics, multivariate statistics and inferential statistics:

Descriptive statistics

Station 1: Dimensions of the central tendency

General

Emprical research

This video shows an introduction to emprirical research.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Statistics: Overview and most important formulas on one sheet

This handout summarises the most important statistical parameters and formulas from descriptive and inferential statistics on one sheet.

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

Mean value and standard deviation

This video shows the mean value and the standard deviation. These values are used to describe data.

Author:inside: Antje Schweitzer
Licence: CC BY 4.0
Download link

R

Module 3 - Univariate descriptive statistics

This part of the self-study course shows univariate descriptive statistics in R.

Authors:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

SPSS

Tutorial 4: Frequency analysis

This video shows the frequency analysis.

Author:inside: /
Licence: CC BY 3.0
Download link

Station 2: Measures of dispersion

General

Emprical research

This video shows an introduction to emprirical research.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Statistics: Overview and most important formulas on one sheet

This handout summarises the most important statistical parameters and formulas from descriptive and inferential statistics on one sheet.

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

Mean value and standard deviation

This video shows the mean value and the standard deviation. These values are used to describe data.

Author:inside: Antje Schweitzer
Licence: CC BY 4.0
Download link

R

Module 3 - Univariate descriptive statistics

This part of the self-study course shows univariate descriptive statistics in R.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

SPSS

Tutorial 4: Frequency analysis

This video shows the frequency analysis.

Author:inside: /
Licence: CC BY 3.0
Download link

Station 3: Measures of correlation

General

Statistics: Overview and most important formulas on one sheet

This handout summarises the most important statistical parameters and formulas from descriptive and inferential statistics on one sheet.

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

Correlation vs. causality

This video series shows the distinction between correlation and causality in three parts.

Author:inside: Thomas Bauer
Licence: CC BY 4.0
Download link part 1/3
Download link part 2/3
Download link part 3/3

Regression calculation

This video shows the regression calculation.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Theory: Regression

This video shows the regression from a theoretical point of view.

Author:inside: Katja Theune
Licence: CC BY 4.0
Download link

Practical application examples - Regression

This video shows practical examples of regression applications.

Author:inside: Katja Theune
Licence: CC BY 4.0
Download link

Linear regression

This video shows the linear regression.

Author:inside: Antje Schweitzer
Licence: CC BY 4.0
Download link

R

Covariance & Correlation

This video shows the covariance and correlation (Pearson, Kendall and Spearman coefficients).

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Module 4 - Bivariate descriptive statistics

This part of the self-study course shows bivariate descriptive statistics in R.

Authors:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Station 4: Correlation

R

Covariance & Correlation

This video shows the covariance and correlation (Pearson, Kendall and Spearman coefficients).

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Module 4 - Bivariate descriptive statistics

This part of the self-study course shows bivariate descriptive statistics in R.

Authors:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Station 5: Simple regression

General

Theory: Regression

This video shows the regression from a theoretical point of view.

Author:inside: Katja Theune
Licence: CC BY 4.0
Download link

R

Linear regression

This video shows the linear regression.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Module 7 Linear Regression - Introduction

This part of the self-study course provides an introduction to linear regression.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Inference statistics

Station 1: Characteristic distribution

General

Elementary moments

The video on elementary moments shows and explains the terms experience value and variance.

Author:inside: Peter Kern
Licence: CC BY 4.0
Download link

Discrete random variable, histogram, binomial distribution, Poisson distribution & expected value

This video shows the discrete random variable, the histogram, the binomial distribution, the Poisson distribution and the empirical value.

Author:inside: Jörn Löviscach
Licence: CC BY 4.0
Download link

R

Inference statistics

This part of the self-study course shows the inferential statistics in R.

Author:innen: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Station 2: Probability theory

General

Probability theory

This video shows the theory of probability.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Binomial distribution and probabilities

This video shows the binomial distribution and probabilities.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Random variables and independence

This video shows the random variable and independence.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Expected value

This video shows the expected value.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Expected value and random variable

This video shows the expected value and the random variable.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Station 3: Probability theory

General

Elementary moments

The video on elementary moments shows and explains the terms experience value and variance.

Author:inside: Peter Kern
Licence: CC BY 4.0
Download link

Expected value and variance, consistency of a point estimation method and central limit theorem

This video shows the expected value and the variance.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Binomial distribution and probabilities

This video shows the binomial distribution and probabilities.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Expected value and random variable

This video shows the expected value and the random variable.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

The central limit theorem

This video shows the central limit theorem.

Author:inside: Peter Kern
Licence: CC BY-SA 4.0
Download link

Station 4: Samples

General

Data collection

This video shows the collection of data.

Author:inside: Michael Kohler
Licence: CC BY 4.0
Download link

Station 5: Hypothesis tests

General

Statistical models

This video shows the statistical models.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Statistical test procedure I and Gaussian test

This video shows the statistical test procedures, e.g. the Gaussian test.

Author:inside: Michael Kohler
Licence: CC BY 3.0
Download link

Statistics: Overview and most important formulas on one sheet

This handout summarises the most important statistical parameters and formulas from descriptive and inferential statistics on one sheet.

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

R

Inference statistics

This part of the self-study course shows the inferential statistics in R.

Author:innen: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Covariance and correlation

This video shows the covariance and correlation.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 6: z-test

General

Statistical models

This video shows the statistical models.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Statistical test procedure I and Gaussian test

This video shows the statistical test procedures, e.g. the Gaussian test.

Author:inside: Michael Kohler
Licence: CC BY 3.0
Download link

Statistical test procedure II and Gaussian test

This video shows the statistical test procedures, e.g. the Gaussian test.

Author:inside: Michael Kohler
Licence: CC BY 3.0
Download link

Statistics: Overview and most important formulas on one sheet

This handout summarises the most important statistical parameters and formulas from descriptive and inferential statistics on one sheet.

Author:inside: Sonja Hahn
Licence: CC BY 4.0
Download link

Station 7: Effect strength

General

Statistical models

This video shows the statistical models.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

R

Comparison of two mean values

This video shows the comparison of two mean values.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 8: Test for two independent samples

General

Statistical test procedure II and Gaussian test

This video shows the statistical test procedures, e.g. the Gaussian test.

Author:inside: Michael Kohler
Licence: CC BY 3.0
Download link

R

Inference statistics

This part of the self-study course shows the inferential statistics in R.

Author:innen: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Comparison of two mean values

This video shows the comparison of two mean values.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Non-parametric test procedures

This video shows non-parametric test procedures.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

SPSS

Tutorial 7 Crosstabs and mean value differences

This video shows the cross tables and mean differences.

Author:inside: /
Licence: CC BY 3.0
Download link

Tutorial 8 Test for normal distribution and test for independent samples

This video shows the test for normal distribution and the test for independent samples.

Author:inside: /
Licence: CC BY 3.0
Download link

Station 9: Test for two dependent samples

R

Comparison of two mean values

This video shows the comparison of two mean values.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Non-parametric test procedures

This video shows non-parametric test procedures.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 10: Frequency tests

R

Categorical data

This video shows the categorical data.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 11: Test for sample variances

R

Basic assumptions of parametric tests

This video shows the basic assumptions of parametric tests.

Author:inside: Jochen Tiepma
Licence: CC BY 4.0
Download link

Station 12: Correlation tests

R

Covariance and correlation

This video shows the covariance and correlation.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Multivariate statistics

Station 1: Variance analysis

R

Comparison of several mean values

This video shows the comparison of several mean values.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

ANOVA - multi-factorial, dependent, mixed

This video shows the ANOVA analysis.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Non-parametric test procedures

This video shows non-parametric test procedures.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Logistic regression

This video shows the logistic regression.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Multi-level/hierarchical models

This video shows multi-level, hierarchical models.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 2: Covariance analysis

R

Comparison of several mean values

This video shows the comparison of several mean values.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 3: Multiple linear regression

General

Multiple linear regression

This video shows the multiple linear regression.

Author:inside: Antje Schweitzer
Licence: CC BY 4.0
Download link

R

Linear regression - Introduction

This part of the self-study course shows an introduction to linear regression in R.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Linear regression - polynomials and interaction

This part of the self-study course shows linear regression in R.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Regression assumptions

This part of the self-study course shows the regression assumptions in R.

Author:inside: Sebastian Schnettler, Svenja Heinecke
Licence: CC BY 4.0

Linear regression

This video shows the linear regression.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Logistic regression

This video shows the logistic regression.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 4: Factor analysis

R

Explorative factor analysis

This video shows the explorative factor analysis.

Author:inside: Jochen Tiepmar
Licence: CC BY 4.0
Download link

Station 5: Cluster analysis

General

Theory - k-means clustering

This video shows clustering.

Author:inside: Katja Theune
Licence: CC BY 4.0
Download link

Theory - k-nearest neighbours procedure

This video shows the classification and the classification method k-nearest neighbours method.

Author:inside: Katja Theune
Licence: CC BY 4.0
Download link

(Changed: 11 Feb 2026)  Kurz-URL:Shortlink: https://uol.de/p111826en
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