Fictitious data" in SPSS refers to data that is created artificially for testing, demonstration, or simulation purposes. This type of data is not based on real-world observations but is generated to mimic realistic data patterns and distributions. Fictitious data is commonly used in various scenarios, including:
Testing Analysis Techniques: Researchers and analysts may generate fictitious data to test the validity and robustness of statistical analysis techniques, models, or algorithms without relying on actual data.
Demonstrations and Training: Fictitious data is often used in educational settings or training sessions to demonstrate data analysis techniques, software features, or statistical concepts.
Simulation Studies: In fields such as economics, sociology, and epidemiology, researchers may use fictitious data to simulate complex systems or scenarios and study their behavior under different conditions.
Privacy Protection: In cases where real data cannot be shared due to privacy concerns, fictitious data may be used as a substitute to illustrate analysis procedures or share results publicly without revealing sensitive information
27 окт 2024
