Related Experiment Video
Updated: Aug 6, 2026

07:35
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Benchmark matrix and guide: Part II
Summary
This guide details applying leadership, structure, and training to the Total Quality Management (TQM) benchmark matrix. It provides specific objectives and behaviors for advancing TQM implementation.
Area of Science:
- Quality Assurance
- Organizational Management
Background:
- The Total Quality Management (TQM) benchmark matrix, developed by Headquarters Air Force Logistics Command, was previously published.
- The matrix features five progress levels: business as usual, initiation, implementation, expansion, and integration.
Framework:
- Six critical TQM success categories: leadership, structure, training, recognition, process improvement, and customer focus.
- This article, Part II, focuses on applying leadership, structure, and training to the matrix.
Implementation:
- Specific behavior objectives, supporting behaviors, and guidelines are provided at the intersection of each category and progress level.
- Some objectives facilitate rapid advancement, while others require significant time and effort.
Implications:
- Provides a practical guide for organizations seeking to implement and advance TQM.
- Sets the stage for Part III, which will cover recognition, process improvement, and customer focus.
More Related Videos
Related Concept Videos
The Representativeness Heuristic
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
Review and Preview
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...
Percentiles are a type of fractile that partition data into...
Multiple Comparison Tests
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Quantifying and Rejecting Outliers: The Grubbs Test
Sometimes, a data set can have a recorded numerical observation that greatly deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier. To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This number is...
The Bell Curve
The normal probability distribution, often depicted as a symmetrical, bell-shaped curve, is fundamental in statistics and the study of natural phenomena. This pattern, famously described by mathematician Carl Friedrich Gauss, shows how data points are distributed around a central mean, with most values near the average and fewer observations occurring as they deviate further from it.
This pattern applies to many human characteristics beyond intelligence, such as height. For example, if you...
This pattern applies to many human characteristics beyond intelligence, such as height. For example, if you...
Comparison Tests
An infinite series composed of positive terms may either approach a finite value or increase without bound. Determining which outcome occurs is a central task in calculus, and comparison tests provide structured methods for making this determination. Rather than evaluating a series directly, these tests relate it to another series whose behavior is already known, allowing conclusions to be drawn through logical comparison.The direct comparison test applies to series with positive terms. If each...

