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Related Concept Videos

Complementation Tests00:49

Complementation Tests

A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Goodness-of-Fit Test01:16

Goodness-of-Fit Test

The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
Introduction to Test of Independence01:21

Introduction to Test of Independence

In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Test for Homogeneity01:23

Test for Homogeneity

The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can be stated as...
Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...

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Related Experiment Video

Updated: Jun 15, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

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Published on: January 20, 2019

Testing the model for testing competency.

Sarah B Keating, Dana N Rutledge, Arlene Sargent

    Patient Care Management
    |May 16, 2003
    PubMed
    Summary
    This summary is machine-generated.

    The California Board of Registered Nursing Model (CBRDM) successfully demonstrated its utility in evaluating nursing student and new graduate performance. This pilot study highlights the model's potential for assessing competencies and informing curriculum development.

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    Area of Science:

    • Nursing Education
    • Professional Development
    • Healthcare Workforce Analysis

    Background:

    • The need for standardized tools to evaluate nursing competencies in practice settings.
    • Existing gaps in assessing performance levels beyond novice and competent.
    • The role of structured models in defining nursing roles and career progression.

    Purpose of the Study:

    • To pilot test the California Board of Registered Nursing Model (CBRDM) in a practice setting.
    • To evaluate the utility of a matrix tool for observing nursing student and new graduate performance behaviors.
    • To explore the CBRDM's potential for assessing various competency levels and informing educational and career planning.

    Main Methods:

    • A pilot study utilizing a matrix evaluation tool based on the CBRDM's competencies.
    • Observation of performance behaviors in senior nursing students and new graduates.
    • Analysis of processes and outcomes using a program evaluation model.

    Main Results:

    • The pilot study successfully demonstrated the CBRDM's utility in practice settings.
    • Evaluators could observe specific performance behaviors at novice and competent levels.
    • Initial findings indicated the model's potential for role differentiation, career planning, and curriculum development.

    Conclusions:

    • The CBRDM shows promise for evaluating nursing student and new graduate performance.
    • The model can aid in defining role expectations and identifying necessary preparation.
    • Further research is recommended to test the CBRDM's ability to measure higher competency levels across diverse practice settings.