Boywitt, C. D., & Rummel, J. (2012). A diffusion model analysis of task interference effects in prospective memory. Memory & Cognition,
40, 70–82.
Article
Google Scholar
Bröder, A., & Schütz, J. (2009). Recognition ROCs are curvilinear—or are they? On premature arguments against the two-high-threshold model of recognition. Journal of Experimental Psychology. Learning, Memory, and Cognition,
35, 587–606.
Article
PubMed
Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale: Erlbaum.
Google Scholar
Criss, A. H. (2010). Differentiation and response bias in episodic memory: evidence from reaction time distributions. Journal of Experimental Psychology. Learning, Memory, and Cognition,
36, 484–499.
Article
PubMed
Google Scholar
Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin,
52, 281–302.
Article
PubMed
Google Scholar
Diederich, A., & Busemeyer, J. R. (2003). Simple matrix methods for analyzing diffusion models of choice probability, choice response time, and simple response time. Journal of Mathematical Psychology,
47, 304–322.
Article
Google Scholar
Dutilh, G., Forstmann, B. U., Vandekerckhove, J., & Wagenmakers, E.-J. (2013). A diffusion model account of age differences in posterror slowing. Psychology and Aging,
28, 64–76.
Article
PubMed
Google Scholar
Dutilh, G., van Ravenzwaaij, D., Nieuwenhuis, S., van der Maas, H. L. J., Forstmann, B. U., & Wagenmakers, E.-J. (2012). How to measure post-error slowing: a confound and a simple solution. Journal of Mathematical Psychology,
56, 208–216.
Article
Google Scholar
Gomez, P., Ratcliff, R., & Perea, M. (2007). Am model of the go/no-go task. Journal of Experimental Psychology: General,
136, 389–413.
Article
Google Scholar
Hager, W., & Hasselhorn, M. (1994). Handbuch deutschsprachiger Wortnormen. Göttingen: Hogrefe. (Handbook of German word norms).
Google Scholar
Heathcote, A., & Love, J. (2012). Linear deterministic accumulator models of simple choice. Frontiers in Psychology,
3, 292.
PubMed Central
Article
PubMed
Google Scholar
Horn, S. S., Bayen, U. J., & Smith, R. E. (2011). What can the diffusion model tell us about prospective memory? Canadian Journal of Experimental Psychology,
65, 69–75.
PubMed Central
Article
PubMed
Google Scholar
Horn, S. S., Bayen, U. J., & Smith, R. E. (2013). Adult age differences in interference from a prospective-memory task: A diffusion-model analysis. Psychonomic Bulletin & Review,
20, 1266–1273.
Jepma, M., Wagenmakers, E.-J., & Nieuwenhuis, S. (2012). Temporal expectation and information processing: a model-based analysis. Cognition,
122, 426–441.
Article
PubMed
Google Scholar
Julesz, B. (1971). Foundations of cyclopean perception. Chicago: University of Chicago Press.
Google Scholar
Kellen, D., Klauer, K., & Bröder, A. (2013). Recognition memory models and binary-response ROCs: a comparison by minimum description length. Psychonomic Bulletin & Review,
20(4), 693–719.
Article
Google Scholar
Klauer, K. C., Voss, A., Schmitz, F., & Teige-Mocigemba, S. (2007). Process components of the implicit association test: a diffusion model analysis. Journal of Personality and Social Psychology,
93, 353–368.
Article
PubMed
Google Scholar
Kolmogorov, A. (1941). Confidence limits for an unknown distribution function. Annals of Mathematical Statistics,
12, 461–463.
Article
Google Scholar
Liu, C. C., & Watanabe, T. (2012). Accounting for speed-accuracy tradeoff in perceptual learning. Vision Research,
61, 107–114.
PubMed Central
Article
PubMed
Google Scholar
Macmillan, N. A., & Creelman, C. D. (2005). Detection theory: A user’s guide (2nd ed.). Mahwah: Erlbaum.
Google Scholar
McKoon, G., & Ratcliff, R. (2012). Aging and IQ effects on associative recognition and priming in item recognition. Journal of Memory and Language,
66, 416–437.
PubMed Central
Article
PubMed
Google Scholar
McKoon, G., & Ratcliff, R. (2013). Aging and predicting inferences: a diffusion model analysis. Journal of Memory and Language,
68, 240–254.
Article
Google Scholar
Nelder, J. A., & Mead, R. (1965). A simplex method for function minimization. Computer Journal,
7, 308–313.
Article
Google Scholar
Paivio, A. (1971). Imagery and Verbal Processes. New York: Holt, Rinehart & Winston.
Google Scholar
Pe, M. L., Vandekerckhove, J., & Kuppens, P. (2013). A diffusion model account of the relationship between the emotional flanker task and rumination and depression. Emotion,
13, 739–747.
Article
PubMed
Google Scholar
Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review,
85, 59–108.
Article
Google Scholar
Ratcliff, R. (1981). A theory of order relations in perceptual matching. Psychological Review,
88, 552–572.
Article
Google Scholar
Ratcliff, R. (1985). Theoretical interpretations of speed and accuracy of positive and negative responses. Psychological Review,
92, 212–225.
Article
PubMed
Google Scholar
Ratcliff, R. (1987). More on the speed and accuracy of positive and negative responses. Psychological Review,
94, 277–280.
Article
PubMed
Google Scholar
Ratcliff, R. (1988). Continuous versus discrete information processing: modelling accumulation of partial information. Psychological Review,
95, 238–255.
Article
PubMed
Google Scholar
Ratcliff, R. (2002). A diffusion model account of response time and accuracy in a brightness discrimination task: fitting real data and failing to fit fake but plausible data. Psychonomic Bulletin & Review,
9, 278–291.
Article
Google Scholar
Ratcliff, R. (2006). Modeling response signal and response time data. Cognitive Psychology,
53, 195–237.
PubMed Central
Article
PubMed
Google Scholar
Ratcliff, R. (2013). Parameter variability and distributional assumptions in the diffusion model. Psychological Review,
120, 281–292.
PubMed Central
Article
PubMed
Google Scholar
Ratcliff, R., Cherian, A., & Segaves, M. (2003a). A comparison of macaque behaviour and superior colliculus neuronal activity to predictions from models of two-choice decisions. Journal of Neuropsychology,
90, 1392–1407.
Google Scholar
Ratcliff, R., & McKoon, G. (2008). The diffusion decision model: theory and data for two-choice decision tasks. Neural Computation,
20, 873–922.
PubMed Central
Article
PubMed
Google Scholar
Ratcliff, R., Perea, M., Colangelo, A., & Buchanan, L. (2004a). A diffusion model account of normal and impaired readers. Brain and Cognition,
55, 374–382.
Article
PubMed
Google Scholar
Ratcliff, R., & Rouder, J. N. (1998). Modeling response times for two-choice decisions. Psychological Science,
9, 347–356.
Article
Google Scholar
Ratcliff, R., & Rouder, J. N. (2000). A diffusion model account of masking in two-choice letter identification. Journal of Experimental Psychology: Human Perception and Performance,
26, 127–140.
PubMed
Google Scholar
Ratcliff, R., & Starns, J. J. (2009). Modeling Confidence and Response Time in Recognition Memory. Psychological Review,
116, 59–83.
PubMed Central
Article
PubMed
Google Scholar
Ratcliff, R., Thapar, A., & McKoon, G. (2001). The effects of aging on reaction time in a signal detection task. Psychology and Aging,
16, 323–341.
Article
PubMed
Google Scholar
Ratcliff, R., Thapar, A., & McKoon, G. (2003b). A diffusion model analysis of the effects of aging on brightness discrimination. Perception and Psychophysics,
65, 523–535.
PubMed Central
Article
PubMed
Google Scholar
Ratcliff, R., Thapar, A., & McKoon, G. (2004b). A diffusion model analysis of the effects of aging on recognition memory. Journal of Memory and Language,
50, 408–424.
Article
Google Scholar
Ratcliff, R., Thapar, A., & McKoon, G. (2006a). Aging and individual differences in rapid two-choice decisions. Psychonomic Bulletin & Review,
13, 626–635.
Article
Google Scholar
Ratcliff, R., Thapar, A., & McKoon, G. (2006b). Aging, practice, and perceptual tasks: a diffusion model analysis. Psychology and Aging,
21, 353–371.
PubMed Central
Article
PubMed
Google Scholar
Ratcliff, R., Thapar, A., & McKoon, G. (2007). Application of the diffusion model to two-choice tasks for adults 75–90 years old. Psychology and Aging,
22, 56–66.
PubMed Central
Article
PubMed
Google Scholar
Ratcliff, R., & Tuerlinckx, F. (2002). Estimating parameters of the diffusion model: approaches to dealing with contaminant reaction times and parameter variability. Psychonomic Bulletin & Review,
9, 438–481.
Article
Google Scholar
Ratcliff, R., & Van Dongen, H. P. A. (2009). Sleep deprivation affects multiple distinct cognitive processes. Psychonomic Bulletin & Review,
16, 742–751.
Article
Google Scholar
Ratcliff, R., Van Zandt, T., & McKoon, G. (1999). Connectionist and diffusion models of reaction time. Psychological Review,
106, 261–300.
Article
PubMed
Google Scholar
Read, T. R. C., & Cressie, N. A. C. (1988). Goodness-of-fit statistics for discrete multivariate data. New York: Springer.
Book
Google Scholar
Rotello, C. M., Macmillan, N. A., Hicks, J. L., & Hautus, M. J. (2006). Interpreting the effects of response bias on remember–know judgments using signal detection and threshold models. Memory & Cognition,
34, 1598–1614.
Article
Google Scholar
Rummel, J., Kuhlmann, B. G., & Touron, D. R. (2013). Performance predictions affect attentional processes of event-based prospective memory. Consciousness and Cognition,
22, 729–741.
Article
PubMed
Google Scholar
Schmitz, F., & Voss, A. (2012). Decomposing task-switching costs with the diffusion model. Journal of Experimental Psychology: Human Perception and Performance,
38, 222–250.
PubMed
Google Scholar
Schulze, R. (1909). Aus der Werkstatt der experimentellen Psychologie und Pädagogik. Leipzig: Voigtländer. (From the workshop of experimental psychology and pedagogy).
Google Scholar
Snodgrass, J. G., & Corwin, J. (1988). Pragmatics of measuring recognition memory: applications to dementia and amnesia. Journal of Experimental Psychology: General,
117, 34–50.
Article
Google Scholar
Snodgrass, J. G., & Vanderwart, M. (1980). A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. Journal of Experimental Psychology: Human Learning & Memory,
6, 174–215.
Google Scholar
Spaniol, J., Madden, D. J., & Voss, A. (2006). A diffusion model analysis of adult age differences in episodic and semantic long-term memory retrieval. Journal of Experimental Psychology. Learning, Memory, and Cognition,
32, 101–117.
PubMed Central
Article
PubMed
Google Scholar
Spaniol, J., Voss, A., & Grady, C. L. (2008). Aging and emotional memory: cognitive mechanisms underlying the positivity effect. Psychology and Aging,
23, 859–872.
Article
PubMed
Google Scholar
Starns, J. J., Ratcliff, R., & McKoon, G. (2012). Evaluating the unequal-variability and dual-process explanations of zROC slopes with response time data and the diffusion model. Cognitive Psychology,
64, 1–34.
PubMed Central
Article
PubMed
Google Scholar
Szekely, A., Jacobsen, T., D’Amico, S., Devescovi, A., Andonova, A., Herron, D., et al. (2004). A new on-line resource for psycholinguistic studies. Journal of Memory and Language,
51, 247–250.
PubMed Central
Article
PubMed
Google Scholar
Thapar, A., Ratcliff, R., & McKoon, G. (2003). A diffusion model analysis of the effects of aging on letter discrimination. Psychology and Aging,
18, 415–429.
PubMed Central
Article
PubMed
Google Scholar
Tuerlinckx, F. (2004). The efficient computation of the cumulative distribution and probability density functions in the diffusion model. Behavior Research Methods, Instruments, & Computers,
36, 702–716.
Article
Google Scholar
Tuerlinckx, F., Maris, E., Ratcliff, R., & De Boeck, P. (2001). A comparison of four methods for simulating the diffusion process. Behavior Research Methods, Instruments, & Computers,
33, 443–456.
Article
Google Scholar
Van Ravenzwaaij, D., & Oberauer, K. (2009). How to use the diffusion model: parameter recovery of three methods: EZ, fast-dm, and DMAT. Journal of Mathematical Psychology,
53, 463–473.
Article
Google Scholar
Vandekerckhove, J., & Tuerlinckx, F. (2007). Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin & Review,
14, 1011–1026.
Article
Google Scholar
Vandekerckhove, J., & Tuerlinckx, F. (2008). Diffusion model analysis with MATLAB: a DMAT primer. Behavior Research Methods,
40, 61–72.
Article
PubMed
Google Scholar
Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (2008). A Bayesian approach to diffusion process models of decision-making. In V. M. Sloutsky, B. C. Love, & K. McRae (Eds.), Proceedings of the 30th annual conference of the cognitive science society (pp. 1429–1434). Austin: Cognitive Science Society.
Google Scholar
Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (2011). Hierarchical diffusion models for two choice response times. Psychological Methods,
16, 44–62.
Article
PubMed
Google Scholar
Voss, A., Rothermund, K., Gast, A., & Wentura, D. (2013). Cognitive processes in associative and categorical priming: a diffusion model analysis. Journal of Experimental Psychology: General,
142, 536–559.
Article
Google Scholar
Voss, A., Rothermund, K., & Voss, J. (2004). Interpreting the parameters of the diffusion model: an empirical validation. Memory & Cognition,
32, 1206–1220.
Article
Google Scholar
Voss, A., & Voss, J. (2007). Fast-dm: a free program for efficient diffusion model analysis. Behavior Research Methods,
39, 767–775.
Article
PubMed
Google Scholar
Voss, A., & Voss, J. (2008). A fast numerical algorithm for the estimation of diffusion model parameters. Journal of Mathematical Psychology,
52, 1–9.
Article
Google Scholar
Wagenmakers, E.-J. (2009). Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracy. European Journal of Cognitive Psychology,
21, 641–671.
Article
Google Scholar
Wagenmakers, E.-J., Ratcliff, R., Gomez, P., & McKoon, G. (2008). A diffusion model account of criterion shifts in the lexical decision task. Journal of Memory and Language,
58, 140–159.
PubMed Central
Article
PubMed
Google Scholar
Wagenmakers, E.-J., Van der Maas, H. L. J., & Grasman, R. P. P. P. (2007). An EZ-diffusion model for response time and accuracy. Psychonomic Bulletin & Review,
14, 3–22.
Article
Google Scholar
White, C., Ratcliff, R., Vasey, M., & McKoon, G. (2009). Dysphoria and memory for emotional material: a diffusion model analysis. Cognition and Emotion,
23, 181–205.
PubMed Central
Article
PubMed
Google Scholar