HIGHLIGHTS
- who: Felix Krieglstein from the Study, : Principal Component Analysis Because of the rather small sample size, a principal component analysis (PCA) was preferred over an exploratory factor analysis (EFA) as it is less stringent in terms of assumptions (e_g, Leppink et_al, )This multivariate statistical method aims to reduce the dimensionality of data into a few components (Ringnu00e9r, ). Method Participants For the first study, data from , participants (78.3% female) was collected. The sample consisted of students from Chemnitz University of Technology in Germany (Mage=23., have published the research: Development and Validation of a Theory-Based Questionnaire . . .
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