HESI Nursing Research II
HESI Nursing Research II ( 54 Questions)
A nurse-researcher is dissatisfied with the results of a data analysis and recalculates the statistical computations applied to the data for the purpose of obtaining results that are more supportive of the researcher's personal belief system.
Which term best describes the outcome of this procedure?
Biased findings best describe the outcome of recalculating statistical computations to align with the researcher's personal belief system. Bias occurs when the researcher consciously or unconsciously manipulates data or statistical analyses to support a particular viewpoint, leading to results that are not objective or impartial. In this scenario, the nurse-researcher's dissatisfaction with the initial results and the recalculated computations suggest a potential bias in favor of their personal beliefs.
Theoretical differentiation is not an appropriate term for describing the outcome of recalculating statistical computations. The term refers to distinguishing between different theoretical concepts or ideas, not the manipulation of data.
Non-parametric data analysis is a statistical approach used when data do not meet the assumptions of parametric tests, such as normal distribution. It does not describe the outcome of bias or manipulation in data analysis.
Secondary analysis typically refers to the re-analysis of existing data for a different research question or purpose. It does not specifically address the issue of bias in data analysis, as described in the scenario.
Choice A rationale:
Biased findings best describe the outcome of recalculating statistical computations to align with the researcher's personal belief system. Bias occurs when the researcher consciously or unconsciously manipulates data or statistical analyses to support a particular viewpoint, leading to results that are not objective or impartial. In this scenario, the nurse-researcher's dissatisfaction with the initial results and the recalculated computations suggest a potential bias in favor of their personal beliefs.
Choice B rationale:
Theoretical differentiation is not an appropriate term for describing the outcome of recalculating statistical computations. The term refers to distinguishing between different theoretical concepts or ideas, not the manipulation of data.
Choice C rationale:
Non-parametric data analysis is a statistical approach used when data do not meet the assumptions of parametric tests, such as normal distribution. It does not describe the outcome of bias or manipulation in data analysis.
Choice D rationale:
Secondary analysis typically refers to the re-analysis of existing data for a different research question or purpose. It does not specifically address the issue of bias in data analysis, as described in the scenario.