Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a cylinder...
Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
Biot-Savart Law: Problem-Solving00:59

Biot-Savart Law: Problem-Solving

The magnitude and direction of a magnetic field created by a steady current can be calculated using the Biot-Savart law.
Consider a mobile phone battery bank as a source of steady current, which flows through the wire connected between the two. What is the magnitude of the magnetic field created by this current at a field point P?
To estimate the magnitude of the total magnetic field, we first consider a small current element of length dl, at a distance r from the field point. Now the following...
Fundamental Theorem of Calculus I: Problem Solving01:22

Fundamental Theorem of Calculus I: Problem Solving

In many engineering and environmental applications, accumulated quantities are determined from rates that vary over time. A common example arises in water management, where a supply system pumps water into a storage tank at a rate that changes with time. Accurately determining how much water has entered the tank over a given period is essential for maintaining proper pressure, scheduling operations, and ensuring system safety.The flow rate of water into the tank is described by a time-dependent...
Castigliano's Theorem: Problem Solving01:14

Castigliano's Theorem: Problem Solving

The deflection of a simply supported beam that carries a central point load can be analyzed using structural mechanics principles, particularly by applying Castigliano's theorem. This theorem relates the displacement at the load application point to the partial derivatives of the strain energy in the structure. The simply supported beam with a point load at its center has symmetric reaction forces at the supports, each bearing half of the load. The bending moment at any point along the beam is...
The Chain Rule: Problem Solving01:23

The Chain Rule: Problem Solving

The thermal expansion of a metal rod shows the application of the Chain Rule when one physical quantity depends on another that varies with time. As the rod is heated, its length changes according to linear thermal expansion, while the temperature of the system varies quadratically with time.For linear thermal expansion, the length L of the rod depends on temperature T such that the rate of change of length with respect to temperature is constant:where L0 = 2 m is the initial length of the rod,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

How do I evaluate myself? The importance of examining overevaluation of muscularity in risk for eating disorder symptoms.

Journal of eating disorders·2025
Same author

Invasive group A streptococcal (iGAS) surveillance in Island Health, British Columbia, 2022.

Canada communicable disease report = Releve des maladies transmissibles au Canada·2024
Same author

The role of mindfulness and emotion regulation in dialectical behavioral therapy for borderline personality disorder.

Personality disorders·2023
Same author

Predictors and prognostic impact of silent coronary artery disease in asymptomatic high-risk patients with diabetes mellitus.

International journal of cardiology·2017
Same author

Optimizing insulin pump therapy: the potential advantages of using a structured diabetes management program.

Current medical research and opinion·2015
Same author

Progression to overt or silent CAD in asymptomatic patients with diabetes mellitus at high coronary risk: main findings of the prospective multicenter BARDOT trial with a pilot randomized treatment substudy.

JACC. Cardiovascular imaging·2014
Same journal

Addressing selective reporting bias in meta-analysis of dependent effect sizes: A tutorial in R.

Psychological methods·2026
Same journal

Heterogeneous variance models with Gaussian processes.

Psychological methods·2026
Same journal

Bayesian evaluation for latent variable models: A tutorial on computing information criteria and bayes factors with the r package bleval.

Psychological methods·2026
Same journal

A stochastic block prior for clustering in graphical models.

Psychological methods·2026
Same journal

Three-level vector autoregressive models.

Psychological methods·2026
Same journal

Scaling cognitive modeling to big data: A deep learning approach to studying individual differences in evidence accumulation model parameters.

Psychological methods·2026
See all related articles

Related Experiment Video

Updated: Jun 12, 2026

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)
10:58

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

Published on: August 28, 2021

Killeen's (2005) p rep coefficient: logical and mathematical problems.

Michael Maraun1, Stephanie Gabriel

  • 1Department of Psychology, Simon Fraser University, Burnaby, British Columbia, Canada. maraun@sfu.ca

Psychological Methods
|June 3, 2010
PubMed
Summary
This summary is machine-generated.

Researchers should reconsider using Killeen's prep coefficient. This study demonstrates that prep is not a replication probability as intended, but a quasi-power coefficient due to a derivation error.

More Related Videos

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

Related Experiment Videos

Last Updated: Jun 12, 2026

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)
10:58

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

Published on: August 28, 2021

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

Area of Science:

  • Statistics
  • Psychological research methods

Background:

  • Killeen (2005) proposed the prep coefficient as an alternative to p-value based null-hypothesis significance testing.
  • Prep was intended to quantify the probability of an effect having the same sign as in an original experiment.
  • Psychological Science encouraged the use of prep over p-values for reporting experimental findings.

Purpose of the Study:

  • To identify and correct an error in Killeen's derivation of the prep coefficient.
  • To clarify the actual statistical nature of the prep coefficient.
  • To re-evaluate the relationship between replication probabilities and statistical inference.

Main Methods:

  • Mathematical derivation and analysis of Killeen's (2005) proposed prep coefficient.
  • Comparison of the derived properties of prep with its intended definition as a replication probability.
  • Theoretical examination of the implications for statistical inference and claims based on replication probabilities.

Main Results:

  • Killeen's derivation of prep contains a mathematical error, meaning it does not represent the intended probability.
  • The prep coefficient is not a replication probability but functions as a quasi-power coefficient.
  • The relationship between replication probabilities and statistical inference, as characterized by Killeen, is misconstrued.

Conclusions:

  • The prep coefficient, as derived by Killeen, is statistically inaccurate and does not serve as a replication probability.
  • Researchers should be cautious about using prep for reporting experimental outcomes due to its mischaracterization.
  • A clearer understanding of replication probabilities and their role in statistical inference is needed.