In what way can literature reviews be classified based on the type of data they utilize?

Literature reviews can be classified based on the type of data they utilize, and the correct classification highlights that they can incorporate both qualitative and quantitative data. This dual capability allows a literature review to provide a more comprehensive understanding of the research topic.

Quantitative data includes numerical information that can be statistically analyzed, while qualitative data encompasses non-numerical insights such as opinions, behaviors, and experiences. By including both types of data, literature reviews can offer a richer context and a more nuanced analysis of existing research findings. This approach enables researchers to explore various aspects of a topic, leading to a better synthesis of the literature and a greater depth of understanding in the field of study.

The other classifications, such as being limited to quantitative only, focusing solely on anecdotal evidence, or excluding theoretical analyses, do not accurately reflect the inherent flexibility and comprehensive nature of literature reviews. Therefore, recognizing the capacity for integration of both qualitative and quantitative data is critical for a well-rounded literature review.