Abstract
Time Series Analysis (TSA) is a statistical method that is slowly spreading in psychological research. Since it can be a very complex topic, this paper is an introduction that aims to explain the main concepts of TSA in the simplest possible way, facilitating the subsequent learning process. The article generally outlines the intensive longitudinal data (ILD), the components of a Time Series, the possible operations that can be done on this type of data, and the most common models to explain and predict the change of one or more variables over time.
| Original language | Italian |
|---|---|
| Pages (from-to) | 365-395 |
| Number of pages | 31 |
| Journal | Giornale Italiano di Psicologia |
| Volume | 49 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2022 |
All Science Journal Classification (ASJC) codes
- General Psychology
Keywords
- ARIMA
- Time Series Analysis
- VAR
- new research methods
- psychology research
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