Category Thesis
Support for bachelor’s and master’s students navigating every phase of their thesis — from first idea to final submission.
Visualization with R and ggplot2
Inhalt Why ggplot2? Installation & Basics Geoms and Aesthetics Geoms Aesthetics (aes) Different Chart Types Scatterplot Histogram Boxplot Bar Chart Faceting, Themes & weitere Tricks Faceting Themes Legends, Scales Summary Why ggplot2? ggplot2 (by Hadley Wickham) is based on the…
Correlation and rank correlation in R
In many research projects, you want to find out whether and how strongly two variables are related – for example, height ↔ weight, study time ↔ exam grade, or CO₂ emissions ↔ income. Correlation analyses provide simple but important tools…
One-Sample t-Test in SPSS
Do you have metric data and want to know whether the mean differs significantly from a specific value? That is exactly what the one-sample t-test in SPSS is for.
What exactly is Type I error inflation?
You ran an ANOVA—and it was significant! Now, of course, you want to know exactly which groups differ. The first impulse: Simply run a few t-tests between the groups. But beware! Alpha error inflationWhen you conduct multiple hypothesis tests simultaneously,…
Deriving a research question from a topic: How to break your topic down into tangible concepts
You have a topic — but no idea how to turn it into a concrete research question? Then you’re in good company. After supervising more than 1,000 research projects, I can tell you: the most common mistake isn’t asking the wrong question. The most common mistake is that the question remains too broad — because the step from topic to question is skipped.
Explorative or confirmation research question? How you can develop them from this research design
You have a research question — but are you unsure whether you should proceed qualitatively or quantitatively? Do you need hypotheses or are allowed to ask open questions? Then you probably lack methodological knowledge. Then you don't have a look at the level of knowledge of your field.
Tidy Data
In this post, we'll go over Hadley Wickham's three principles for ensuring tidy data.
Tools for Researchers: Why Easy Is Not Always Better
Not all tools for researchers are created equal. Before adopting the next productivity shortcut, ask yourself: does this build my capability — or does it substitute for it? The answer matters more than you think.
Conducting Academic Research: How to Achieve Long-Term Success
Long-term research projects can feel overwhelming. No matter how far away a deadline is, work often piles up until the last minute. This is not due to a lack of motivation, but to the complexity of scientific work. In this article,…
How to Find a Research Gap in a Crowded Field
Hier ist die **deutsche Übersetzung**, wortwörtlich, ohne den Inhalt zu ändern, inklusive SEO-Keyword:
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Dichte Forschungsfelder können einschüchternd wirken, enthalten aber mehr **Forschungslücken** als gedacht. Originalität entsteht oft dadurch, Ideen zu verbinden, die bisher noch nicht zusammengebracht wurden. Mit einer klaren Nische und Fokus auf Synthese kannst du auch in einem gesättigten Umfeld einen sinnvollen Beitrag definieren.
