One Hundred Years of Forgetting : A Quantitative Description of Retention
By David C. Rubin, A. Wenzel. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ponnurangam Kumaraguru
- Lorrie Faith Cranor
- Steve Sheng
- Jason I. Hong
- Alessandro Acquisti
- Jeffrey S. Bowers
- In Jae Myung
- John W. Krakauer
Citations in the corpus
- Prior sensitivity in theory testing: An apologia for the Bayes factor (2010, methodology): “A sensitivity analysis can consist of performing ameta-analysis using a range of data sets spanning a wide variety of conditions (see, for examples, Lee, 2004; Navarro et al., 2004; Rubin & Wenzel, 1996).”
- How persuasive is a good fit? A comment on theory testing. (2000, methodology): “For indications of the typical precision of retention functions, see Rubin and Wenzel (1996) and Rubin, Hinton, and Wenzel (in press).”
- Episodic and semantic knowledge in emotional self-report: evidence for two judgment processes. (2002, background): “Second, it is clear that episodic knowledge declines quickly with the passage of time (Rubin & Wetzel, 1996).”
- Applying processing trees in social psychology (2016, background): “Reasoning that a delay should be accompanied by the decay of explicit memory (Rubin & Wenzel, 1996), the m-parameter should be reduced by the delay if it represents explicit encoding processes.”
- Belief and feeling: evidence for an accessibility model of emotional self-report. (2002, background): “Across a wide variety of tasks, memory for specific episodic details declines as a power function of time since encoding (i.e., a steep loss initially, a more gradual loss thereafter; Rubin & Wetzel, 1996).”
- Teaching Multiple Concepts to a Forgetful Learner (2018, background): “Power-law and exponential functions are two popular ways of modeling the forgetting curves (for detailed discussion, see [27, 41, 24, 40]).”
- Learning in the Credit Card Market (2013, unknown): “They find that the model has greater predictive power, with fewer parameters, than forecasting models used by retailers.”
- Flashbulb memories are special after all; in phenomenology, not accuracy (2007, methodology): “They were then randomly assigned to one of three follow-up sessions scheduled within the limits of the academic calendar to produce roughly equal steps on a logarithmic scale (Rubin & Wenzel, 1996).”
- A temporal ratio model of memory. (2007, methodology): “Despite expenditure of a considerable amount of ingenuity and empirical effort, the data appear at least consistent with the same conclusion (see, e.g., Chechile, 2006; Rubin et al., 1999; Rubin & Wenzel, 1996; T. D. Wickens, 1999).”
- Replication and Analysis of Ebbinghaus’ Forgetting Curve (2015, methodology): “This is why he fitted the data to two different functions (a power function, 1880, and a logarithmic function, 1885), as have many theorists since (e.g., [1,2 – 4]).”
- Understanding adolescents' positive and negative developmental experiences in sport (2009, background): “Evidently, the study’s retrospective protocol could lead to biases, distortions, and omissions in the data ( Rubin & Wenzel, 1996 ); however, the sample was purposefully selected to limit participants’ time since involvement, and researchers used situation-specific cues and probes to maximize data a”
- Tracing the Development of Athletes Using Retrospective Interview Methods: A Proposed Interview and Validation Procedure for Reported Information (2005, unknown): “Research on memory has shown that longer retention intervals lead to lower accuracy of recall for virtually all types of memory at uniform and predictable rates, unless the information is accessed and rehearsed during the delay (Bahrick, Hall, Goggin, Bahrick, & Berger, 1994; Rubin & Wenzel, 1996 )”
- The psychology and neuroscience of forgetting. (2004, background): “…power law of forgetting is probably the leading contender (cf. Anderson & Schooler, 1991), White (2001) argued that a modified exponential, the exponential-power function, performs much better than the simple exponential and should be given serious consideration as well (cf. Rubin & Wenzel 1996).”
- How cognitive modeling can benefit from hierarchical Bayesian models. (2011, background): “…of how often memory items are recalled at different time periods, the function f is a memory retention function like the exponential or power function (e.g., Rubin & Wenzel, 1996), and the parameters θ are the starting points, decay rates, and other standard properties of those retention functions.”
- Witnessing wrongdoing: the effects of observer power on incivility intervention in the workplace (2017, background): “However, there are also concerns with the validity of recall measures as the retrospective nature of the reports may bias individuals to perceive that their responses were stronger than they were (Rubin & Wetzel, 1996).”
- Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect (2005, background): “Still others have argued for the superiority of an exponential-power function in forgetting ( Rubin & Wenzel, 1996; Wickelgren, 1974) and practice (Heathcote et al., 2000).”
- Tutorial on maximum likelihood estimation (2003, methodology): “To illustrate the method, I chose forgetting data given the recent surge of interest in this topic (e.g. Rubin & Wenzel, 1996; Wickens, 1998; Wixted & Ebbesen, 1991).”