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Related Concept Videos

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Comparison Tests01:28

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...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...

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Related Experiment Video

Updated: Jun 12, 2026

Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats
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Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats

Published on: June 18, 2018

Difficult decisions for progress testing: how much and how often?

Chris Ricketts1, Adrian Freeman, Giovanni Pagliuca

  • 1Peninsula College of Medicine and Dentistry, University of Plymouth, UK. chris.ricketts@pms.ac.uk

Medical Teacher
|June 3, 2010
PubMed
Summary
This summary is machine-generated.

Designing progress tests requires clear purpose and further research into educational impact and acceptability. Empirical evidence on reliability and cost is provided using generalisability theory.

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Area of Science:

  • Medical Education Research
  • Assessment Design
  • Educational Measurement

Background:

  • Limited theoretical and practical research exists on optimal progress test design.
  • Progress tests are crucial for evaluating medical student learning over time.

Purpose of the Study:

  • To stimulate debate and future research in progress test design.
  • To propose clear objectives for progress test development.
  • To provide empirical data on reliability and cost.

Main Methods:

  • Utilized generalisability theory to analyze reliability and cost.
  • Presented an opinion piece to encourage discussion.

Main Results:

  • Generalizability theory provides empirical evidence on progress test reliability and cost.
  • Identified a need for more research in specific areas.

Conclusions:

  • Progress test designers must define the primary assessment purpose.
  • Future research should focus on the educational impact and acceptability of progress tests.