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Friedman, N. P., & Miyake, A. (2004). The relations among inhibition and interference control functions: A latent-variable analysis. Journal of Experimental Psychology: General, 133(1), 101–135.
Abstract: This study used data from 220 adults to examine the relations among 3 inhibition-related functions. Confirmatory factor analysis suggested that Prepotent Response Inhibition and Resistance to Distractor Interference were closely related, but both were unrelated to Resistance to Proactive Interference. Structural equation modeling, which combined Prepotent Response Inhibition and Resistance to Distractor Interference into a single latent variable, indicated that 1 aspect of random number generation performance, task-switching ability, and everyday cognitive failures were related to Response-Distractor Inhibition, whereas reading span recall and unwanted intrusive thoughts were related to Resistance to Proactive Interference. These results suggest that the term inhibition has been overextended and that researchers need to be more specific when discussing and measuring inhibition-related functions. (PsycINFO Database Record (c) 2006 APA, all rights reserved) (from the journal abstract)
Keywords: inhibition; distractor interference; prepotent response inhibition; proactive interference; random number generation; task-switching ability; cognitive failures; span recall; intrusive thoughts; Attention; Cognitions; Cognitive Processes; Distraction; Proactive Inhibition; Memory; Recall (Learning)
Notes: 0096-3445Accession Number: xge-133-1-101. First Author & Affiliation: Friedman, Naomi P.; University of Colorado at Boulder, Boulder, CO, US. Release Date: 20040223. Publication Type: Journal, Peer Reviewed Journal. Media Covered: Print. Media Available: Electronic; Print. Document Type: Original Journal Article. Language: English. Major Descriptor(s): Attention; Cognitions; Cognitive Processes; Distraction; Proactive Inhibition. Minor Descriptor(s): Memory; Recall (Learning). Classification: Cognitive Processes (2340); Population: Human (10); Male (30); Female (40); Location: US. Age Group: Adulthood (18 yrs & older) (300); Young Adulthood (18-29 yrs) (320); Thirties (30-39 yrs) (340); Middle Age (40-64 yrs) (360); . Methodology: Empirical Study; Quantitative Study. References Available: Y.
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Anderson, N. D., & Craik, F. I. M. (2006). The mnemonic mechanisms of errorless learning. Neuropsychologia, 44(14), 2806–2813.
Abstract: Errorless learning enhances memory relative to errorful, trial-and-error learning, but the extent to which this advantage relies on implicit or explicit memory processes is not clear. Previous attempts to determine the mnemonic mechanisms of errorless learning have relied on contrasts between patient groups or between tasks, but both approaches are problematic. In this study, healthy younger and older adults were engaged in errorless or errorful learning using a process dissociation procedure that provides separate estimates of explicit recollection and implicit familiarity within-subjects and within-task (Hay & Jacoby, 1996). Consistent with much prior research, we found an age-related decrement in recollection, but age-invariance in familiarity. In the young adults, errorless learning reduced the misleading familiarity of prior errors, but this benefit was offset by the non-elaborative nature of the errorless learning condition that also reduced recollection. In the older adults, who are less able to oppose familiarity-based errors because of their lower recollection, errorless learning only reduced the misleading impact of previous errors. Our results support Baddeley and Wilson's (1994) position that the errorless learning effect is mediated by implicit memory processes: individuals with reduced explicit memory benefit from errorless learning because errorless learning bypasses the need to engage explicit error elimination processes. We do not recommend standard errorless learning for individuals with intact explicit memory, such as students trying to learn information in preparation for an examination. (PsycINFO Database Record (c) 2006 APA, all rights reserved) (from the journal abstract)
Keywords: explicit memory; implicit memory; errorless or errorful learning; aging; Age Differences; Trial and Error Learning
Notes: 0028-3932Accession Number: 2006-20125-006. First Author & Affiliation: Anderson, Nicole D.; Kunin-Lunenfeld Applied Research Unit, Baycrest, Toronto, ON, Canada. Release Date: 20061030. Publication Type: Journal; Peer Reviewed Journal. Media Covered: Electronic. Media Available: Electronic; Print. Document Type: Original Journal Article. Language: English. Major Descriptor(s): Age Differences; Explicit Memory. Minor Descriptor(s): Implicit Memory; Trial and Error Learning. Classification: Learning & Memory (2343). Population: Human (10). Age Group:Adulthood (18 yrs & older) (300); Young Adulthood (18-29 yrs) (320); Aged (65 yrs & older) (380); . Grant Information: This work was supported by an operating grant (RGPIN 238361-03) from the Natural Sciences and Engineering Council of Canada awarded to the first author. References Available: Y.
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Tollenaar, N., & Mooijaart, A. (2003). Type I errors and power of the parametric bootstrap goodness-of-fit test: Full and limited information. British Journal of Mathematical and Statistical Psychology, 56(2), 271–288.
Abstract: In sparse tables for categorical data well-known goodness-of-fit statistics are not chi-square distributed. A consequence is that model selection becomes a problem. It has been suggested that a way out of this problem is the use of the parametric bootstrap. In this paper, the parametric bootstrap goodness-of-fit test is studied by means of an extensive simulation study; the Type I error rates and power of this test are studied under several conditions of sparseness. In the presence of sparseness, models were used that were likely to violate the regularity conditions. Besides bootstrapping the goodness-of-fit usually used (full information statistics), corrected versions of these statistics and a limited information statistic are bootstrapped. These bootstrap tests were also compared to an asymptotic test using limited information. Results indicate that bootstrapping the usual statistics fails because these tests are too liberal, and that bootstrapping or asymptotically testing the limited information statistic works better with respect to Type I error and outperforms the other statistics by far in terms of statistical power. The properties of all tests are illustrated using categorical Markov models. (PsycINFO Database Record (c) 2006 APA, all rights reserved) (from the journal abstract)
Keywords: Type I errors; goodness-of-fit test; parametric bootstrap; sparseness; information statistics; Markov models; Goodness of Fit; Markov Chains; Parametric Statistical Tests; Statistical Data
Notes: 0007-1102Accession Number: 2003-09687-005. First Author & Affiliation: Tollenaar, Nikolaj; Department of Psychology, Leiden University, Leiden, Netherlands. Release Date: 20031222. Publication Type: Journal; Peer Reviewed Journal. Media Covered: Electronic. Media Available: Electronic; Print. Document Type: Original Journal Article. Language: English. Major Descriptor(s): Goodness of Fit; Markov Chains; Parametric Statistical Tests; Statistical Data; Type I Errors. Classification: Statistics & Mathematics (2240). References Available: Y.
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Brooks, F. P. (1995). The Mythical Man-Month. Addison-Wesley Pub. Co.
Keywords: algorithms
Notes: xiii, 322 p. : ill ; 24 cm.<br/><br/>Anniversary ed. has four new chapters. Includes bibliographical references (p. 293-308) and index.
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McConnell, S. (2004). Code Complete. MS Press.
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