Statistická analýza dat - APS500009

• Anglický název: Statistical analysis of data
• Zajišťuje: Katedra psychologie (21-KPS)
• Fakulta: Filozofická fakulta
• Platnost: od 2023 do 2023
• Semestr: letní
• Body: 0
• E-Kredity: 5
• Způsob provedení zkoušky: letní s.:kombinovaná
• Rozsah, examinace: letní s.:2/2, Zk [HT]
• Počet míst: neomezen / neomezen (neurčen)
• Minimální obsazenost: neomezen
• 4EU+: ne
• Virtuální mobilita / počet míst pro virtuální mobilitu: ne
• Stav předmětu: vyučován
• Jazyk výuky: čeština
• Způsob výuky: prezenční
• Způsob výuky: prezenční
• Další informace: https://dl1.cuni.cz/course/view.php?id=15769
• Poznámka: předmět je možno zapsat mimo plán; povolen pro zápis po webu; při zápisu přednost, je-li ve stud. plánu
• Garant: Bc. Lucie Zernerová, M.Sc., Ph.D.; Mgr. Jana Dlouhá
• Vyučující: Mgr. Jana Dlouhá

Anotace

Poslední úprava: Mgr. Jana Dlouhá (20.02.2024)

The "Statistical Data Analysis" course serves as an advanced sequel to "Basic Statistics," designed to enrich and broaden the foundational analytical toolkit used in psychological and social science research. This course places a strong emphasis on:

- Cultivating critical thinking skills essential for the discerning evaluation of statistical methods and results.
- Hands-on experience with the practical implementation of complex data analyses.
- Mastery in the accurate interpretation of analytical results, ensuring a clear understanding of their significance and implications within research contexts.
- Participants will engage with a rigorous curriculum that not only solidifies their grasp of statistical concepts but also hones their ability to apply these concepts to real-world scenarios, ultimately fostering a proficient and thoughtful approach to the science of data analysis.

Cíl předmětu

Poslední úprava: Mgr. Jana Dlouhá (20.02.2024)

The course is structured to impart a foundational understanding and practical skill set for the application of mathematical and statistical methods in the empirical analysis of data across diverse facets of psychology, including research, diagnostics, therapy, and psychometrics. The objectives are to:

1. Grasp the logical structure and methodological underpinnings of mathematical-statistical analysis.
2. Apply suitable mathematical-statistical techniques tailored to specific data analysis tasks.
3. Interpret statistical outcomes accurately and meaningfully.

This introductory course on statistics for psychological research will delve into essential descriptive and inferential statistical methods. By the end of the course, you will have learned to:

- Comprehend the fundamental principles and concepts that govern statistical applications.
- Choose and implement the most fitting statistical methods for various research questions.
- Accurately decipher and articulate the implications of statistical findings.
- Maintain a positive perspective towards statistics as a valuable tool in psychological inquiry.

Literatura

Poslední úprava: Mgr. Jana Dlouhá (20.02.2024)

Required:

Navarro, D. J., Foxcroft, D. R. Learning statistics with jamovi, 2018.

Recommended:

Heiman, G. (2013). basic statistics for the behavioral sciences. Cengage Learning.

https://nivlab.github.io/opendata/

Field, A.: Discovering statistics using SPSS. Sage publications, 2009.

Field, A.: Discovering statistics using R. Sage publications, 2012.

Metody výuky

Poslední úprava: Mgr. Jana Dlouhá (20.02.2024)

Each student must have a laptop with jamovi 2.3.28 installed: https://www.jamovi.org/download.html

Detailed documentation for this program, including an installation guide, can be obtained here: https://docs.jamovi.org/