Variable-interval schedule (VI) is a reinforcement schedule in which reinforcement is provided for the first response that occurs after a variable amount of time from the last reinforcer or the start of the trial interval.
Two way ANOVA
It can be though more often it is a variable on the interval scale (when looking for trends over time).
When, over a given range, the probability that a variable in question lies within a particulat interval is equal to the size of that interval as a proportion of the range.
This statement means that you need to justify the choice of your selection. For example, if you choose a specific type of variable i.e., nominal, interval, etc. You need to show proof as to how you can statistically justify why you choose this particular variable. How can you justify the outcome of this type of variable chosen.
In the simplest setting, a continuous random variable is one that can assume any value on some interval of the real numbers. For example, a uniform random variable is often defined on the unit interval [0,1], which means that this random variable could assume any value between 0 and 1, including 0 and 1. Some possibilities would be 1/3, 0.3214, pi/4, e/5, and so on ... in other words, any of the numbers in that interval. As another example, a normal random variable can assume any value between -infinity and +infinity (another interval). Most of these values would be extremely unlikely to occur but they would be possible. The random variable could assume values of 3, -10000, pi, 1000*pi, e*e, ... any possible value in the real numbers. It is also possible to define continue random variables that assume values on the entire (x,y) plane, or just on the circumference of a circle, or anywhere that you can imagine that is essentially equivalent (in some sense) to pieces of a real line.
continuous reinforcement - giving a reward every time a desired action is presented
variable interval schedule
variable interval schedule
a variable
different between variable intervals and fixed ratio
Nothing, but you can speak about the lifetime of a variable: the time-interval in which the variable exists.
yes
Answer:Continuous and partial. Partial reinforcement schedule can be: fixed-interval, fixed-ratio, variable-interval, or variable-ratio. See the related link below for more details. Answer:Continuous reinforcement is most effective at the start so the subject learns to associate the behavior with the reward. Afterword this is learned a switch to partial reinforcement can be done - more specifically, a variable-ratio schedule produces the strongest response and slowest extinction.
There are two kinds of reinforcement schedules. The first is continuous reinforcement where desired behavior is reinforced every time. The second schedule is partial reinforcement where a response is reinforced part of the time. Within partial reinforcement, there are four schedules which include fixed-ratio, variable-ratio, and fixed-interval and variable- interval.
Fixed-Interval Schedule
· Dependent variable ( student's academic achievement ) : It depend on the way that we use it to write the score (if we write it as a letter it will be an ordinal ,but if we write it as number it will be an interval). · Independent variable ( intelligent ) : Interval, · Independent variable ( attention ) : Interval,
· Dependent variable ( student's academic achievement ) : It depend on the way that we use it to write the score (if we write it as a letter it will be an ordinal ,but if we write it as number it will be an interval). · Independent variable ( intelligent ) : Interval, · Independent variable ( attention ) : Interval,