Counting Beans

1. Counting Beans Dr. Timothy Bender Psychology Department Missouri State University 901 S. National Avenue Springfield, MO 65897

2. Counting Beans In 1871, Jevons wanted to determine how many items he could perceive accurately in one brief glance at a stimulus. Specifically, he wanted to know how many items he could detect without consciously counting them. He assumed that the mind engaged in parallel processing of the number of objects, at least if the number was small enough. At that time, the estimates ranged from 4 to 6 items.

3. Counting Beans In order to study this question, Jevons would throw a handful of beans at a small box. He would then glance swiftly at the box and try to estimate how many beans were in the box. He then counted the actual number and recorded his estimate with the real number. He did this more than 1,000 times!

4. Counting Beans We will try something similar. However we first need to operationally define what a ‘glance’ will be. In this demonstration there are two glance times. Some occur for 167 milliseconds and some for 333 milliseconds. This will allow us to compare a short glance with a slightly longer glance.

5. Counting Beans Please prepare a response sheet consisting of the numbers 1 through 40 written on your paper.

6. Counting Beans For each of the next 40 slides you will see a + sign in the middle of the screen for about 1 second. That will be followed by an image of one or more beans. The image will appear for either 167 milliseconds or 333 milliseconds. Record the number of beans you think you saw. OPERATING HINT: To continue from trial to trial make sure your cursor is near one side of the slide before you click for the next stimulus.

7. Trial 1

8. Trial 2

9. Trial 3

10. Trial 4

11. Trial 5

12. Trial 6

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46. Trial 40

47. Counting Beans • The following are the correct answers for the 167 millisecond slides. Count the number of times students were correct. Record those scores. • 2 beans 7. 3 beans 12. 7 beans 22. 5 beans • 9 beans 8. 6 beans 15. 7 beans 28. 8 beans • 9 beans 9. 3 beans 16. 5 beans 29. 4 beans • 10 beans 10. 4 beans 17. 10 beans 30. 8 beans • 1 bean 11. 2 beans 21. 1 bean 40. 6 beans

48. Counting Beans The following are the correct answers for the 333 millisecond slides. Count the number of times students were correct for each number. Each student could be correct twice for each. Record those numbers. 3. 1 bean 20. 5 beans 27. 3 beans 35. 7 beans 13. 2 beans 23. 9 beans 31. 3 beans 36. 6 beans 14. 1 bean 24. 9 beans 32. 6 beans 37. 4 beans 18. 2 beans 25. 7 beans 33. 10 beans 38. 5 beans 19. 4 beans 26. 8 beans 34. 8 beans 39. 10 beans

49. Counting Beans This table shows Jevons’ percentage correct when the actual number of beans ranged from 3 to 15.(Sorry about that 120 percent . I have no idea how to tell PowerPoint not to do that!)

50. Counting Beans Jevons felt that the number of items a person could perceive in a single glance probably would vary from person to person. However, his own data suggested that an estimate of from 4 to 6 items was likely. His own limit was between 4 and 5, which is very close to the estimate offered by Sperling (1960), based on data collected using the whole report method.