Description: Quasi-experimental multimodal research refers to a methodological approach that combines elements of quasi-experimental research with the use of multiple modes of data collection. This type of research is characterized by its ability to integrate different sources of information, such as surveys, interviews, observations, and content analysis, allowing for a more comprehensive and rich view of the phenomenon being studied. Unlike traditional experimental designs, which require random assignment of participants to control and experimental groups, quasi-experimental studies are conducted in contexts where randomization is not possible or ethical. This means that researchers must use alternative methods to control external variables and minimize biases. Multimodal quasi-experimental research is particularly relevant in various fields, including education, psychology, and health, where the impact of interventions is evaluated in natural settings. By combining different data collection methods, researchers can triangulate information, increasing the validity and reliability of findings. This approach allows not only for the measurement of quantitative outcomes but also for the exploration of qualitative experiences and perceptions, thus providing a deeper understanding of the effects of interventions in real-life contexts.
