Functions for traditional and multilevel approaches to signal detection theory

Behavior Research Methods

Volumn 41, Issue 2, 2009, Pages 257-267

  Wright, Daniel B ^a   Horry, Ruth ^b   Skagerberg, Elin M ^b  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^b UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER PROGRAM; HUMAN; PERCEPTIVE DISCRIMINATION; STATISTICAL ANALYSIS;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; HUMANS; SIGNAL DETECTION, PSYCHOLOGICAL; SOFTWARE;

EID: 66149129213     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BRM.41.2.257     Document Type: Article

References (33)

1. Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory & Language, 59, 390-412.
2. Banks, W. P. (1970). Signal detection theory and human memory. Psychological Bulletin, 74, 81-99.
3. Bates, D., Maechler, M., & Dai, B. (2008). lme4: Linear mixed-effects models using S4 classes (Version 0.999375-20) [Computer software]. Available at http://cran.r-project.org/.
4. Blozis, S. A., & Traxler, M. J. (2007). Analyzing individual differences in sentence processing performance using multilevel models. Behavior Research Methods, 39, 31-38.
5. Canty, A., & Ripley, B. (2008). boot: Bootstrap R (S-Plus) Functions (R package Version 1.2-32) [Computer software]. Available at http://cran.r-project.org/.
6. Chambers, J. M. (2008). Software for data analysis: Programming with R. New York: Springer.
7. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational & Psychological Measurement, 20, 37-46.
8. Crawley, M. J. (2007). The R book. Chichester, U.K.: Wiley.
9. DeCarlo, L. T. (1998). Signal detection theory and generalized linear models. Psychological Methods, 3, 186-205.
10. Doran, H., Bates, D., Bliese, P., & Dowling, M. (2007). Estimating the multilevel Rasch model: With the lme4 package. Journal of Statistical Software, 20 (2).
11. Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. Boca Raton, FL: Chapman & Hall/CRC.
12. Goldstein, H. (2003). Multilevel statistical methods (3rd ed.). London: Edward Arnold.
13. Goodman, L. A., & Kruskal, W. H. (1979). Measures of association for cross classifications. New York: Springer.
14. Hoffman, L., & Rovine, M. J. (2007). Multilevel models for the experimental psychologist: Foundations and illustrative examples. Behavior Research Methods, 39, 101-117.
15. Horry, R., & Wright, D. B. (2008). I know your face but not where I saw you: Context memory is impaired for other race faces. Psychonomic Bulletin & Review, 15, 610-614.
16. Kraemer, H. C. (2006). Correlation coefficients in medical research: From product moment correlation to the odds ratio. Statistical Methods in Medical Research, 15, 525-545.
17. Locker, L., Hoffman, L., & Bovaird, J. A. (2007). On the use of multilevel modeling as an alternative to item analysis in psycholinguistic research. Behavior Research Methods, 39, 723-730.
18. McCullagh, P., & Nelder, J. A. (1989). Generalized linear models (2nd ed.). London: Chapman and Hall.
19. Pinheiro, J. C., & Bates, D. M. (2000). Mixed-effects models in S and S-Plus. New York: Springer.
20. R Development Core Team (2008). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Available at www.R-project.org.
21. Skagerberg, E. M., & Wright, D. B. (2008). Manipulating power can affect memory conformity. Applied Cognitive Psychology, 22, 207-216.
22. Stanislaw, H., & Todorov, N. (1999). Calculation of signal detection theory measures. Behavior Research Methods, Instruments, & Computers, 31, 137-149.
23. Swets, J. A. (1996). Signal detection theory and ROC analysis in psychology and diagnostics: Collected papers. Mahwah, NJ: Erlbaum.
24. Wickens, T. D. (2002). Elementary signal detection theory. New York: Oxford University Press.
25. Wilcox, R. R. (2004). Introduction to robust estimation and hypothesis testing (2nd ed.). San Diego: Academic Press.
26. Wilkinson, L. & the Task Force on Statistical Inference, American Psychological Association, Science Directorate, Washington DC, US. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.
27. Wright, D. B. (1998). Modelling clustered data in autobiographical memory research: The multilevel approach. Applied Cognitive Psychology, 12, 339-357.
28. Wright, D. B., Gabbert, F., Memon, A., & London, K. (2008). Changing the criterion for memory conformity in free recall and recognition. Memory, 16, 137-148.
29. Wright, D. B., & London, K. (2009). Modern regression techniques using R: A practical guide for students and researchers. London: Sage.
30. Wright, D. B., & London, K. (in press). Multilevel modelling: Beyond the basic applications. British Journal of Mathematical and Statistical Psychology.
31. Wright, D. B., London, K., & Waechter, M. (in press). Social recognition memory and social anxiety. Applied Cognitive Psychology.
32. Wright, D. B., Mathews, S. A., & Skagerberg, E. M. (2005). Social recognition memory: The effect of other people's responses for previously seen and unseen items. Journal of Experimental Psychology: Applied, 11, 200-209.
33. Zhou, X.-H., Obuchowski, N. A., & McClish, D. K. (2002). Statistical methods in diagnostic medicine. New York: Wiley.