What is NOT included in Kearney's categories of qualitative findings?

Kearney's qualitative findings specifically focus on capturing the experiences and meanings derived from qualitative research, emphasizing the subjective and contextual nature of the data collected. Statistical significance, which is a concept rooted in quantitative research, pertains to the relationship between variables measured in numerical terms, usually involving hypothesis testing to determine whether observed effects can be attributed to chance.

In qualitative research, the aim is not to quantify relationships but rather to explore and understand phenomena in depth. Therefore, statistical significance does not fit within Kearney's categories, as they are more aligned with nuanced interpretations and the richness of human experience rather than strict numerical validation. This is why it stands out as the option that does not belong in the context of qualitative findings as categorized by Kearney.