What actually is a p-value for? And what is a significant result? This book answers such questions by providing a compact introduction to inferential statistics. Our major focus is on the logic of inferential statistics and hypothesis testing: We cover the logic behind statistical tests, we then walk through the most common procedures (t-test, analysis of variance with and without repeated measures, correlation / regression) and discuss pitfalls of data analysis. The book thus helps developing a solid understanding of how common test procedures work, and how to interpret their results correctly. Hands-on examples from everyday research including exemplary calculations with the programs SPSS and R supplement each chapter. In addition to classical methods, we briefly discuss recent developments in psychological research methods. This book is a translation of the original German 3rd edition of Inferenzstatistik Verstehen by Markus Janczyk and Roland Pfister. It is based on an AI-powered machine translation (by the service DeepL. com), with thorough follow-up editing by both authors.
Biografie (Roland Pfister)
Roland Pfister ist wissenschaftlicher Mitarbeiter am MCM und Spezialist für visuelle Kommunikation.
Biografie (Markus Janczyk)
Markus Janczyk hat an den Universitäten Halle-Wittenberg und Reno (USA) Psychologie studiert und an der TU Dortmund promoviert. Er ist derzeit wissenschaftlicher Mitarbeiter an der Julius-Maximilians-Universität Würzburg und interessiert sich in seiner Forschung vor allem für Handlungssteuerung und Doppelaufgabenperformanz.
