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Objectivist research centers on quantitative measurement and objective analysis to compare outcomes across groups or conditions. This approach relies on numerical data, standardized instruments, and statistical methods to test hypotheses and seek generalizable findings, aiming for objectivity and replicability. In practice, results are reported with numbers, p-values, confidence intervals, and effect sizes, reflecting a focus on measurable variables rather than subjective interpretation. The other described approaches emphasize qualitative data—experiences, narratives, or immersive field observations without numbers—which explore meaning and context rather than numerical comparisons. So, the statement that best characterizes objectivist research is that it uses quantitative methods, often with comparisons.