Tag statistics
Spearman’s rank correlation
Spearman's rank correlation is one of the best-known measures for assessing the relationship between two variables when the data are measured on an ordinal scale or are not normally distributed.
Covariance
In the world of statistics, we often encounter the question: How closely are two variables related to each other? Whether we are looking at income and satisfaction or temperature and ice cream sales—the answer lies in correlation and covariance.
Bivariate correlation: An introduction to the Pearson correlation coefficient
The Pearson correlation coefficient, named after Karl Pearson, is a statistical measure that quantifies the linear relationship between two metric variables. Here, we take a closer look at how to calculate and interpret it.
Getting Started with IBM SPSS – Installation, Orientation, and Working with Data
Inhalt Introduction Why SPSS, anyway? Installing and licensing SPSS Finding your way around the SPSS interface Working with data: data files, formats, and importing Data organization and “projects” in SPSS Syntax vs. output: saving, exporting, and reporting Differences from R…
Relevance of Statistics in Psychology and Work Psychology
When you think of statistics, complicated formulas and endless rows of data probably come to mind first. That doesn’t exactly sound like a subject relevant to your everyday life as a future psychologist or work psychologist, does it? But the truth is that statistics is an indispensable tool in psychology and work psychology. Why? Quite simply: without statistics, it would be impossible to evaluate scientific findings, conduct psychological studies, or even understand how people function. That is why this introduction to statistics begins here, with a particular focus on descriptive statistics in the fields of work psychology and psychology.
Data Management in SPSS
Contents Introduction Why use SPSS for data management? SPSS: Understanding the Interface and Setup The SPSS Views Syntax and Output Importing Data into SPSS Opening SPSS Files (.sav) Importing CSV/TXT Files Loading Excel files into SPSS Data preparation and transformation…
Data Management in R
Inhalt Introduction Grundlagen & Setup Important Packages RStudio-Projekte & Verzeichnisse Reading in Data Reading in CSV/TXT Files Reading in Excel Files Other Formats Data Preparation and Transformation Basic Operations with dplyr Examples of Transformations Filtering and Sorting Variable Coding Handling…
Introduction to Bayesian Statistics
Inhalt Why Bayesian Statistics? Differences Between Frequentist and Bayesian Statistics Example: Medical Test Bayes’ Theorem Meaning of the Terms: Visual Example: A Manipulated Coin? Conjugate Priors Example: Binomial Distribution with a Beta Prior Credible Intervals R Code for Illustration Why…
Exploratory Factor Analysis in R
Exploratory factor analysis (EFA) is one of the most important techniques in psychology and the social sciences for identifying latent constructs in data. It helps you understand the structure of questionnaires or tests and eliminate irrelevant items. In this blog post, I will show you how to conduct an EFA in R, including data preparation, factor extraction, rotation, and interpretation of the results. We will also explore the methodological background and present further examples of applications in various research fields.
Data Visualization with SPSS
The graphical presentation of data is an important part of data analysis. SPSS offers various ways to prepare data visually, including bar charts, histograms, boxplots, and scatterplots. In this article, I’ll show you how to create and interpret visualizations in SPSS.