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Related Concept Videos

Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Regression Toward the Mean01:52

Regression Toward the Mean

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Nursing Evaluation01:15

Nursing Evaluation

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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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National Nursing Organizations II01:30

National Nursing Organizations II

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Nursing organizations play a vital role in representing nurses working in specialized clinical settings, such as the American Association of Critical-Care Nurses (AACN).
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Sign Test for Median of Single Population01:20

Sign Test for Median of Single Population

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In general, the sign test serves as a nonparametric method to test hypotheses about the median of a single population when the data does not follow a known distribution. This simplicity makes it particularly useful for small sample sizes or when the assumptions of parametric tests cannot be met. The process begins with identifying a null hypothesis, typically stating that the population median equals a specific value. The alternative hypothesis could be that the median is either not equal to,...
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Bonferroni Test01:10

Bonferroni Test

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The Bonferroni test is a statistical test named after Carlo Emilio Bonferroni, an Italian mathematician best known for Bonferroni inequalities. This statistical test is a type of multiple comparison test to determine which means are different than the rest. Bonferroni test can minimize the Type 1 error by reducing the significance level alpha, which otherwise increases with sample pairs.
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Related Experiment Video

Updated: Jan 12, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education
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Evaluating a Minimum Test Average in Undergraduate Nursing: A Descriptive Correlational Study.

Vickie A Ireland1, Lisa G Heald1, Erin M Bellaire1

  • 1Department of Nursing, University of Maine at Augusta, Augusta, Maine.

The Journal of Nursing Education
|November 5, 2025
PubMed
Summary
This summary is machine-generated.

Implementing a minimum exam average of 77% (C+) in nursing programs significantly improved National Council Licensure Examination (NCLEX-RN) pass rates. This policy supports academic rigor and enhances student readiness for licensure.

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Last Updated: Jan 12, 2026

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Area of Science:

  • Nursing Education
  • Academic Standards
  • Licensure Examination

Background:

  • Minimum exam averages are crucial for academic rigor in nursing education.
  • Evidence supporting the impact of minimum exam averages on licensure is limited.

Purpose of the Study:

  • To investigate the relationship between a 77% (C+) minimum exam average requirement and NCLEX-RN pass rates.
  • To compare licensure exam outcomes between a cohort with the new policy and a control group.

Main Methods:

  • Descriptive correlational design used by nursing faculty.
  • Comparison of a 2023 intervention cohort (with 77% minimum average) and a 2022 control cohort.
  • Analysis focused on National Council Licensure Examination (NCLEX-RN) passage rates.

Main Results:

  • The 77% (C+) minimum exam average policy had a statistically significant positive effect on NCLEX-RN pass rates (z = -3.481, p < .001).
  • Findings support the efficacy of the established examination threshold.

Conclusions:

  • A minimum exam average policy can uphold academic rigor in undergraduate nursing programs.
  • Implementing such policies may reduce faculty moral distress and improve NCLEX-RN readiness and success.