Preference for mixed-interval versus fixed-interval schedules: number of component intervals

Related Experiment Video

Updated: Jul 10, 2026

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals
11:15

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

M C Davison

    Journal of the Experimental Analysis of Behavior
    |March 1, 1972
    PubMed

    More Related Videos

    A Two-interval Forced-choice Task for Multisensory Comparisons07:13

    A Two-interval Forced-choice Task for Multisensory Comparisons

    Published on: November 9, 2018

    Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats09:12

    Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

    Published on: March 17, 2019

    Related Concept Videos

    Interval Level of Measurement00:55

    Interval Level of Measurement

    For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
    Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
    Temperature is measured using the interval scale. It is measurable data, and the difference between the...
    Relative Frequency Histogram01:14

    Relative Frequency Histogram

    The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
    Prediction Intervals01:03

    Prediction Intervals

    The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
    However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
    The...
    Dosage Interval and Administration Route: Determination Methods01:19

    Dosage Interval and Administration Route: Determination Methods

    A medication’s effectiveness largely depends on its appropriate dosage and the route of administration. Dosage ensures that a sufficient drug concentration is maintained in the bloodstream to elicit the desired therapeutic effect without causing toxicity. The route of administration affects the drug's bioavailability, rate of absorption, and onset of action, which are crucial for achieving optimal therapeutic outcomes. Drug dosage calculations are critical to tailoring therapy to individual...
    Reinforcement Schedules01:24

    Reinforcement Schedules

    Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
    Once a behavior is learned,...
    Critical Numbers and the Closed Interval Method01:21

    Critical Numbers and the Closed Interval Method

    Understanding the maximum and minimum values of a function is essential for analyzing its overall behavior. These values, often referred to as extrema, provide insight into how a function behaves across its domain. In mathematical terms, extrema can be either local—representing peaks and valleys within a limited region—or absolute, indicating the highest or lowest points over an entire interval.A function’s extrema occur at critical numbers, which are values in the domain where the derivative...