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Related Concept Videos

Quality Control01:05

Quality Control

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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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Quality Assurance01:19

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation01:20

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Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
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Measurement: Derived Units03:02

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The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
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Measurement: Standard Units03:38

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Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Related Experiment Video

Updated: Mar 14, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education
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Metrics of Quality in Graduate Training.

Brian A Iwata1

  • 1grid.15276.370000000419368091Psychology Department, University of Florida, Gainesville, FL 32611 USA.

Behavior Analysis in Practice
|October 6, 2016
PubMed
Summary

Defining quality metrics in graduate training presents challenges for diverse applicants. Outcome measures are ideal, but subjective opinion surveys are often used to supplement them.

Area of Science:

  • Behavioral Science
  • Psychology
  • Education

Background:

  • Graduate training quality is crucial for professional development.
  • Defining and measuring training quality presents significant challenges.
  • Existing literature, such as Dixon et al., highlights the need for robust evaluation methods.

Purpose of the Study:

  • To discuss the difficulties in establishing quality metrics for graduate training.
  • To explore the perspectives of different audiences, specifically applicant types.
  • To propose preferred methods for assessing training quality.

Main Methods:

  • This is a commentary, responding to a previous publication.
  • It involves a conceptual analysis of quality metrics in graduate education.
Keywords:
Graduate trainingOutcome measures

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  • It discusses the utility of outcome measures versus subjective assessments.

    • Main Results:

    • Defining objective quality metrics for graduate training is complex.
    • Different applicant audiences may require varied evaluation approaches.
    • Outcome measures are preferred for their objectivity when feasible.

    Conclusions:

    • While outcome measures are ideal for assessing graduate training quality, they are not always practical.
    • Subjective opinion surveys, despite their limitations, remain a frequently used supplement.
    • Further research may be needed to develop more comprehensive and objective quality assessment tools.