Accelerating Technology Acceptance: Nucleating and Funding E&amp;P Technology

Bates, Thomas R.; Coyle, William George

doi:10.2118/98513-ms

Cited by 13 publications

(8 citation statements)

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“…The current study had double the persons and items as the problematic case in the study, and ICCs were expected to be much lower than .50 (results from the unconditional model reveal ICCs for the current sample). Neither standard errors nor p values for random effects are produced by the lmer function because lmer uses likelihood methods that do not make symmetric parameter-distribution assumptions that are necessary for accurately calculating standard errors and p values (Bates, 2006a, 2006b). Finally, all continuous person and word variables were standardized before they were entered into the models.…”

Section: Methodsmentioning

confidence: 99%

Word and person effects on decoding accuracy: A new look at an old question.

Gilbert

Compton²,

Kearns³

2011

Journal of Educational Psychology

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The purpose of this study was to extend the literature on decoding by bringing together two lines of research, namely person and word factors that affect decoding, using a crossed random-effects model. The sample was comprised of 196 English-speaking grade 1 students. A researcher-developed pseudoword list was used as the primary outcome measure. Because grapheme-phoneme correspondence (GPC) knowledge was treated as person and word specific, we are able to conclude that it is neither necessary nor sufficient for a student to know all GPCs in a word before accurately decoding the word. And controlling for word-specific GPC knowledge, students with lower phonemic awareness and slower rapid naming skill have lower predicted probabilities of correct decoding than counterparts with superior skills. By assessing a person-by-word interaction, we found that students with lower phonemic awareness have more difficulty applying knowledge of complex vowel graphemes compared to complex consonant graphemes when decoding unfamiliar words. Implications of the methodology and results are discussed in light of future research.

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Section: Methodsmentioning

confidence: 99%

Word and person effects on decoding accuracy: A new look at an old question.

Gilbert

Compton²,

Kearns³

2011

Journal of Educational Psychology

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“…2The computation of p values from multilevel regression models is not trivial and cannot be precisely determined, because of variations in how degrees of freedom may be calculated (for a discussion see “DRAFT r-sig-mixed-models FAQ,” 2014). In its original implementation, the lme4 package did not provide a built-in method for calculating p values, and creator Douglas Bates recommended using Markov Chain Monte Carlo (MCMC) samples as the closest approximation (Bates, 2006; see also “DRAFT r-sig-mixed-models FAQ,” 2014). Earlier versions of this article used MCMC sampling to obtain p values by constructing simple random intercepts models and running MCMC sampling using the pvals.fnc function in the languageR package (chi-square tests of model comparisons revealed no differences between the simple and maximal models).…”

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confidence: 99%

Speakers of different languages process the visual world differently.

Chabal¹,

Marian²

2015

Journal of Experimental Psychology: General

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Language and vision are highly interactive. Here we show that people activate language when they perceive the visual world, and that this language information impacts how speakers of different languages focus their attention. For example, when searching for an item (e.g., clock) in the same visual display, English and Spanish speakers look at different objects. Whereas English speakers searching for the clock also look at a cloud, Spanish speakers searching for the clock also look at a gift, because the Spanish names for gift (regalo) and clock (reloj) overlap phonologically. These different looking patterns emerge despite an absence of direct linguistic input, showing that language is automatically activated by visual scene processing. We conclude that the varying linguistic information available to speakers of different languages affects visual perception, leading to differences in how the visual world is processed.

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“…La tarea de la comadrona, ante la falta de una, solía recaer en alguno -o, por lo general, alguna-de los presentes. En los pueblos remotos, si no había partera, sería una mujer experimentada de la localidad quien se pondría al frente de un grupo de mujeres, que ayudarían durante el parto 36 . Por lo tanto, no era extraño un nacimiento sin comadre entre el pueblo llano, pero sí llama la atención en un alumbramiento de la realeza.…”

Section: Las Parteras Improvisadasunclassified