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Related Concept Videos

Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Mean Absolute Deviation01:13

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The mean absolute deviation is also a measure of the variability of data in a sample. It is the absolute value of the average difference between the data values and the mean.
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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Related Experiment Videos

A new model explaining number-line estimation performance across development: An adversarial collaboration.

Clarissa A Thompson1, Dale J Cohen2

  • 1Department of Psychological Sciences, Kent State University.

The American Psychologist
|December 22, 2025
PubMed
Summary
This summary is machine-generated.

A new model, nlFit, explains how number-line estimation skills predict math achievement by integrating number sensitivity, ordinality, and linearity. This model accurately predicts estimation patterns across diverse conditions and age groups.

Related Experiment Videos

Area of Science:

  • Cognitive Psychology
  • Developmental Psychology
  • Educational Psychology

Background:

  • Number-line estimation performance is a strong predictor of mathematical achievement.
  • The cognitive mechanisms underlying this relationship are a subject of ongoing debate.

Purpose of the Study:

  • To introduce the nlFit model, which integrates ordinality and linearity to predict number-line estimates.
  • To test the nlFit model's predictive accuracy using existing data from conflicting research perspectives.

Main Methods:

  • Reanalyzed published data from two independent research labs representing opposing views on number-line estimation.
  • The nlFit model incorporates number sensitivity, ordinality, and linearity to predict estimates.

Main Results:

  • The nlFit model accurately predicted number-line estimates across various numerical ranges and number line types (bounded/unbounded).
  • Model performance was consistent regardless of how numbers were sampled or whether participants received reference point feedback.
  • The model successfully fit data from children and adults.

Conclusions:

  • The nlFit model provides a unified framework for understanding number-line estimation.
  • The model's success across diverse datasets suggests its robustness in explaining mathematical cognition.
  • Further research is encouraged to explore the model's limitations and applications.