Før Memmo var mine noter spredt ud over PDF'er. Nu samler et workspace alt ét sted – og jeg ser præcis, hvad der er tilbage at læse op på.
A combination of psychometric theory, history, philosophy, and practice, with recent advances in analytical methods, metrology, and design.
Psychometrics, Test Theory, and the Latent Factors Model began as a strong manuscript by Petr Blahuš, based upon his lifelong passion of applying the latent factors model to kinesiology and biomechanics. Before his death he entrusted it to three co-authors who completed the book with in-chapter explanations, accessible mathematical appendices, and computational guides. It was also expanded to include important advances since 2010 in psychometric methods, contemporary developments in metrology, and the science of domain-specific design. Comprehensive in scope, the text contains computational guides for the use of Stata, M-plus, and SPSS in Factor Analysis, Classical Test Theory, and Item-Response Theory. The authors highlight the practicality of software integration in order to successfully produce psychometrically sound research. Written by an international and decades-spanning team of experienced psychometricians, the text anticipates a future psychometric science that could earn its place in the international metrology community.
The book is filled with suggestions, tips, and practical guidance about best practices and efficient strategies for modeling and model selection. In addition, the book includes important cautions and warnings about misuse and misinterpretations of common, but limited, analytical techniques. The book is historically informed, philosophically grounded, mathematically justified, and methodologically current. This important text:
Psychometrics, Test Theory, and the Latent Factors Model is intended for forward-looking students and teachers in the behavioral, educational, health, and social sciences.
Før Memmo var mine noter spredt ud over PDF'er. Nu samler et workspace alt ét sted – og jeg ser præcis, hvad der er tilbage at læse op på.
Memmos opsummeringer er guld inden eksamen. Jeg slipper for at genlæse 800 sider to uger før – kun de vigtigste dele.
AI-chatten har reddet mig aftenen før en eksamen mere end én gang. Jeg spørger, indtil jeg forstår det – og slipper for at vente på svar i en studiegruppe.
Quizzen rammer præcis det, jeg skal kunne. Memmo holder øje med, hvad jeg har svært ved – så jeg øver mig kun på det, der er det værd.
Flashcards med spaced repetition er magi. Memmo ved, når jeg er ved at glemme noget, og viser det igen.
AI-podcasts er min favorit. Jeg lytter på vej til skole og får en opsummering uden at sidde foran en computer.
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