Web-based experiments controlled by JavaScript: An example from probability learning

Behavior Research Methods, Instruments, and Computers

Volumn 34, Issue 2, 2002, Pages 189-199

  Birnbaum, Michael H ^a   Wakcher, Sandra V ^b  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b Decision Research Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER LANGUAGE; HUMAN; INTERNET; LEARNING; TEACHING;

COMPUTER-ASSISTED INSTRUCTION; HUMANS; INTERNET; PROBABILITY LEARNING; PROGRAMMING LANGUAGES;

EID: 0036559618     PISSN: 07433808     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03195442     Document Type: Article

References (29)

1. ARKES, H. R., & DAWES, R. M. (1986). Factors influencing the use of a decision rule in a probabilistic task. Organizational Behavior & Human Decision Processes, 37, 93-110.
2. BARON, J., & SIEPMANN, M. (2000). Techniques for creating and using Web questionnaires in research and teaching. In M. H. Birnbaum (Ed.), Psychological experiments on the Internet (pp. 235-265). San Diego: Academic Press.
3. BIRNBAUM, M. H. (1983). Base rates in Bayesian inference: Signal detection analysis of the cab problem. American Journal of Psychology, 96, 85-94.
4. BIRNBAUM, M. H. (1999). Testing critical properties of decision making on the Internet. Psychological Science, 10, 399-407.
5. BIRNBAUM, M. H. (Ed.) (2000). Psychological experiments on the Internet. San Diego: Academic Press.
6. BIRNBAUM, M. H. (2001). Introduction to behavioral research on the Internet. Upper Saddle River, NJ: Prentice-Hall.
7. BIRNBAUM, M. H. (2002). Wahrscheinlichkeitslernen. In D. Janetzko, H. A. Meyer, & M. Hildebrand (Eds.), Das Expraktikum im Labor und WWW. Göttingen: Hogrefe. [An English translation of this chapter can be obtained from http://psych.fullerton.edu/mbirnbaum/papers/ probLearn5.doc]
8. BIRNBAUM, M. H., & MELLERS, B. A. (1983). Bayesian inference: Combining base rates with opinions of sources who vary in credibility, Journal of Personality & Social Psychology, 45, 792-804.
9. BOWER, G. (1994). A turning point in mathematical learning theory. Psychological Review, 101, 290-300.
10. CAMERER, C. F., & HOGARTH, R. M. (1999). The effects of financial incentives in experiments: A review and capital-labor-production theory, Journal of Risk & Uncertainty, 19, 7-42.
11. CHAU, A. W. L., PHILLIPS, J. G., & VON BAGGO, K. L. (2000). Departures from sensible play in computer blackjack. Journal of General Psychology, 127, 426-438.
12. DENES-RAJ, V., & EPSTEIN, S. (1994). Conflict between intuitive and rational processing: When people behave against their better judgment. Journal of Personality & Social Psychology, 66, 819-829.
13. EDWARDS, W. (1956). Reward probability, amount, and information as determinants of sequential two-alternative decisions. Journal of Experimental Psychology, 52, 177-188.
14. EDWARDS, W. (1961). Probability learning in 1000 trials. Journal of Experimental Psychology, 62, 385-394.
15. EREV, I., & BARRON, G. (2001). On adaptation, maximization, and reinforcement learning among cognitive strategies. Manuscript in preparation. [Available from Ido Erev, e-mail: ie61@columbia.edu]
16. EREV, I., BERERY-MEYER, Y., & ROTH, A. E. (1999). The effect of adding a constant to all payoffs: Experimental investigation, and implication for reinforcement learning models. Journal of Economic Behavior & Organization, 39, 111-128.
17. ESTES, W. K. (1950). Toward a statistical theory of learning. Psychological Review, 57, 94-107.
18. ESTES, W. K. (1994). Toward a statistical theory of learning. Psychological Review, 101, 282-289.
19. ESTES, W. K. (2002). Traps in the route to laws of memory and decision. Psychonomic Bulletin & Review, 9, 3-25.
20. FRANCIS, G., NEATH, I., & SURPRENANT, A. M. (2000). The cognitive psychology online laboratory. In M. H. Birnbaum (Ed.), Psychological experiments on the Internet (pp. 267-283). San Diego: Academic Press.
21. GAL, I., & BARON, J. (1996). Understanding repeated simple choices. Thinking & Reasoning, 2, 81-98.
22. HERRNSTEIN, R. J. (1990). Behavior, reinforcement and utility. Psychological Science, 1, 217-224.
23. KRANTZ, J. H., & DALAL, R. (2000). Validity of Web-based psychological research. In M. H. Birnbaum (Ed.), Psychological experiments on the Internet (pp. 35-60). San Diego: Academic Press.
24. LANGE, M. (1999). Museum of perception and cognition website: Using JavaScript to increase interactivity in Web-based presentations. Behavior Research Methods, Instruments, & Computers, 31, 34-45.
25. LINDMAN, H., & EDWARDS, W. (1961). Supplementary report: Unlearning the gambler's fallacy. Journal of Experimental Psychology, 62, 630.
26. NIES, R. C. (1962). Effects of probable outcome information on two- choice learning. Journal of Experimental Psychology, 64, 430-433.
27. SCHWARZ, S., & REIPS, U.-D. (2001). CGI versus JavaScript: A Web experiment on the reversed hindsight bias. In U.-D. Reips & M. Bosnjak (Eds.), Dimensions of Internet science (pp. 75-90). Lengerich, Germany: Pabst.
28. TVERSKY, A., & EDWARDS, W. (1966). Information versus reward in binary choices. Journal of Experimental Psychology, 71, 680-683.
29. TVERSKY, A., & KAHNEMAN, D. (1982). Evidential impact of base rates. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 153-160). New York: Cambridge University Press.