Description: Quasi-experimental designs in multimodal research are methodological approaches that combine elements of quasi-experimental research with the integration of multiple modalities of data and analysis. These designs are particularly useful in contexts where manipulation of variables is not entirely feasible or ethical, allowing researchers to observe effects in real-world situations. Unlike controlled experiments, where participants are randomly assigned to groups, quasi-experimental designs use pre-existing groups or natural conditions, which may introduce biases but also better reflect the complexity of the phenomena being studied. Multimodality involves the use of different types of data, such as qualitative and quantitative, to gain a richer and more nuanced understanding of the phenomenon in question. This approach allows researchers to address complex and multifaceted questions by integrating diverse perspectives and methods of analysis. The flexibility of quasi-experimental designs in multimodal contexts makes them a valuable tool for research in various fields, such as education, psychology, and health, where interactions between variables are intrinsic and difficult to isolate. In summary, these designs provide a robust framework for exploring and understanding complex phenomena in natural settings, facilitating the generation of applicable and relevant knowledge.
