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WorksheetsPSYCH 203 Herrnstein's Hyperbola 32
Total questions: 29
Worksheet time: 45mins
How do you measure choice?
Dividing the total responses made to one alternative by the overall number of responses
R1+R2R1
B1+B2B1
Dividing the responses for one behaviour by the total time that responses can be made
How do you measure rate?
The equality between relative responses and reinforcer rates
B1+B2B1
RateB1
Dividing the responses for one behaviour by the total time that responses can be made
What does measuring choice tell us?
What does measuring rate tell us?
Herrnstein (1961) concluded that
(a)
What is the Strict Matching Law?
The equality between relative responses and the reinforcer rates
B1+B2B1 = R1+R2R1
RateB1
How often behaviours occur
What results were reported on the matching law during the 1960s, and what was concluded because of this?
What did Herrnstein (1970) use the findings of the strict matching law to provide?
(a)
What four assumptions was made by Herrnstein (1970), in regards to Herrnstein's Hyperbola/Law?
What is Herrnstein's Hyperbola?
The total behavioural output, k, will be distributed across all sources of available sources of reinforcement, proportionately to the reinforcer the subject receives from said sources.
The idea of strict matching still applies, where the behaviour will be divided proportionally between all reinforcers present, both provided and extraneous
B1=R1 +RekR1
B1+B2B1=R1+R2R1
In Herrnstein's Hyperbola equation what does the little 1, 2 and e found beside B and R stand for?
What is the denominator of Herrnstein's Hyperbola known as?
(a)
What is k in terms of Herrnstein's equation. (select multiple)
k=B1 + Be
The 11th letter of the alphabet
k is the total possible output of behavior
k is the total possible output of reinforcers
True or False: In Herrnstein's Hyperbola equation, B stands for Responses (Behaviors), while R stands for Reinforcers?
True
False
The parameter k should ____ as reinforcer rate is increased - but only to a _____ possible k value. As the response becomes ____, the k value should increase.
(a)
In general Re _____ change if motivational properties change. In Herrnstein’s hyperbola - this means that Re should _____ as the “value” of the measured reinforcer increases.
(a)
Two people attend an essay writing tutorial. One is alone, while Two is sitting beside their partner who can’t stop talking and sharing photos of their new pet kitten. Which student will have a smaller Re?
One, as they are not distracted by cute photos.
One, as they are distracted by cute photos.
Two, as they are distracted by cute photos.
Two, as they are not distracted by cute photos.
Two people attend an essay writing tutorial. One is alone, while Two is sitting beside their partner who can’t stop talking and sharing photos of their new pet kitten.
- Which student will be slower to reach k?
One
Two
Both are the same
Neither will reach k
The parameter k always increases linearly
True
False
Parameter k changes across experiment, but not across conditions.
True
False
How do you expand Herrnstein's Hyperbola equation B1 = R1+Rek⋅R1 to include more than 1 behavior?
You don't. The equation only works for one behavior.
B1 = R1 + R2 +Rek⋅R1 k = B1 + B2+Be
a2=b2+c2
B1=R1+Rek⋅R1+R2+Rek⋅R2
According to Herrnstein's assumptions, which of the following equation for describing rates of responding is correct?
B2B1=R1R2
B1+B2+BeB1=R1+R2+ReR2
B2B1=R2R1
R1=B1+B2+BekB1
What makes a good model? (Select multiple)
Fits the data
Its parameter estimates are sensible
It works for different species/situations
The lines are drawn straight with a ruler
Did study of Catania and Reynolds (1963b) support Herrnstein's hyperbola?
Yes, because the results of the experiment matched the hypothesis of increasing in Varied-key responding and decreasing in Constant-key responding.
No, because the respond in constant-key decreased while the Herrnstein's hyperbola model shows that respond should always increase.
No, because there was a significant outlier in the Varied-key data that didn’t fit the model.
Yes, because the data of the results fits the model lines and its parameter estimates are sensible.
How can we decrease the parameter k in experiment?
How can we decrease the parameter Re in experiment?
Heyman & Monaghan (1994) tested whether the assumptions of Herrnstein's law is true. What can be conclude from their study?
Thinking about the examples that was shown in the lectures, does Herrnstein's Hyperbola make a good model?
Criticize on Herrnstein's law, how good is it? Relate to the assumptions.
