SDT_SP, a program in Pascal for computing parameters and significance tests from several detection theory designs
Tóm tắt
SDT_SP is a program written in Pascal that runs in IBM-compatible computers and calculates descriptive as well as inferential statistics for several experimental designs based on signal detection theory and Luce’s choice theory (e.g., one-interval designs, rating designs, two-alternative forced choice [2AFC] designs andmAFC designs). The program also generates receiver operating characteristic (ROC) curves from individual as well as groupd’s. ROC curve plottings can be obtained merely by pressing a key on the computer keyboard. The program is accurate, menu driven, fast, and easy to use. It is available in English and in Spanish.
Tài liệu tham khảo
Ballesteros, S. (May, 1993).Haptic perception and types of memory for raised patterns and three-dimensional objects. Paper presented at the International Conference on Object Representation in Visual and Haptic Systems. Madrid.
Ballüsteros, S.,Manga, IV, &Reales, J, M. (1994).Haptic discrimination of bilateral symmetry in raised unfamiliar displays. Manuscript submitted for publication.
Ballesteros, S., &Reales, J. M. (November, 1992).The perception of symmetric and asymmetric patterns by touch and vision. Paper presented at the meeting of the Psychonomic Society, St. Louis.
Boke, R., &Gardner, R. M. (1988). A computer program to generate parametric and nonparametric signal-detection parameters.Bulletin of the Psychonomic Society,26, 365–367.
Donaldson, W. (1992). Measuring recognition memory.Journal of Experimental Psychology; General,121, 275–277.
Dorfman, D. D., &Alf, E., Jr. (1969). Maximum likelihood estimation of parameters of signal detection theory and determination of confidence interval-ratings-method data.Journal of Mathematical Psychology,6, 487–496.
Gardner, R. V., &Borce, R. (1986). A computer program to generate signal-detection theory values for sensitivity and response bias.Behavior Research Methods. Instruments, & Computers,18, 54–56.
Green, D. M., &Swets, J. A. (1966),Signal detection theory and psychophysicss. New York: Wiley. (Reprint 1974, Huntington. NY: Krieger)
Grifr, J. B. (1971). Nonparametric indexes for sensitivity and bias: Computing formulas.Psychological Bulletin,75, 424–429.
Hodos, W. (1970), A nonparametric index of response bias for use in detection and recognition experiments.Psychological Bulletin,75, 351–354.
Luce, R. D. (1963). Detection and recognition. In R. D. Luce, R. R. Bush, & E. Galanter (Eds.),Handbook: of mathematical psychology(Vol. 1. pp. 103–189). New York: Wiley.
MacMillan, N. A., &Creelman, C. D. (1991).Detection theory: A user’s guide. New York: Cambridge University Press.
MacMillan, N. A., &Kaplan, H. L. (1985). Detection theory analysis of group data: Estimating sensitivity from average hit and false-alarm rates.Psychological Bulletin,98, 185–199.
Marascuilo, L. A. (1970). Extensions of the significance test for one-parameter signal detection hypothesis.Psychotnetrika,35, 237–243.
McNicol, D. (1972).A primer of signal detection theory. London: Allen & Unwin.
Ogilvie, J. C., &Creelman, C. D. (1968). Maximum-likelihood estimation of receiver operating characteristic curve parameters.Journal of Mathematical Psychology,5, 337–391.
Taylor, A., Boven, R., &Whitvore, J. (1991). Reduction of unique noise in Use psychophysics of hearing by group operating characteristic analysis.Psychological Bulletin,109, 133–146.