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Lista de candidatos sometidos a examen:
1) quantitative analysis (*)
(*) Términos presentes en el nuestro glosario de lingüística
1) Candidate: quantitative analysis
Is in goldstandard
1
paper CO_ColombianAppliedLinguisticsJournaltxt232 - : information structure and end-weight principles were also used. Finally, a quantitative analysis was performed: frequency of topicalizations, heavily modified NPs, and the number of words in them . The purpose of the analysis was to obtain raw and normalized frequencies (per 1000 words) and averages that confirmed that successful modifications to written discourses were more frequent in high achieving OPs. Again, the analysis was performed manually since, to my knowledge, the automated identification of topicalizations and NPs in learner corpora is still something that cannot be completed reliably with corpus software.
2
paper CO_Íkalatxt201 - : This perception that they were able to utilise the indirect feedback was echoed in the quantitative analysis of whether students incorporated the indirect feedback in their second drafts: on average, 72% of the indirect feedback was incorporated according to the code given, and in 5% of cases, the text was modified in a different but appropriate manner . Overall, 77% of the coded WCF was incorporated effectively. Once again, these findings are similar to those from ^[119]Ferris's (2003) study. The incorporation scores can be seen in [120]Table 4 below:
Evaluando al candidato quantitative analysis:
1) indirect: 3 (*)
2) incorporated: 3
3) feedback: 3 (*)
quantitative analysis
Lengua: eng
Frec: 60
Docs: 44
Nombre propio: / 60 = 0%
Coocurrencias con glosario: 2
Puntaje: 2.624 = (2 + (1+3.32192809488736) / (1+5.93073733756289)));
Candidato aceptado
Referencias bibliográficas encontradas sobre cada término
(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)| quantitative analysis |
: 23. Guy, Gregory. 1993. The quantitative analysis of linguistic variation. En Dennis Preston (ed.), American dialect research, 223-49. Amsterdam: John Benjamins. : 5. Brown, Esther y Javier Rivas. 2011. Subject~Verb word-order in Spanish interrogatives: a quantitative analysis of Puerto Rican Spanish. Spanish in Context 8, 1. 23-49. : Cardoso, Walcir. 1999. A quantitative analysis of word-final /r/-deletion in Brazilian Portuguese, Linguistica Altantica, 21: 13-52. : Citation/ Para citar este Artículo: Reyes-Cruz. M., Rueda de León-Barbosa, L., & Murrieta-Loyo. G. (2017). Undergraduate Pre-service EFL Teachers' Conceptions of Research: A Quantitative Analysis. Colomb. Appl. Linguist. J., 19(1), pp. 67-83. : Díaz-Campos, M. A. (2001). Acquisition of Phonological Structure y Sociolinguistic Variables: a Quantitative Analysis of Spanish Consonant Weakening in Venezuelan Children’s Speech. Ohio: Ohio State University. : Levon, E. (2010). Organizing and processing your data: The nuts and bolts of quantitative analysis. En L. Litosseliti (Ed.), Research Methods in Linguistics (pp. 68-92). Londres: Continuum . : Meyer, J. H. F., Shanahan, M. P., & Laugksch, R. C. (2005). Students' conceptions of research I: A qualitative and quantitative analysis. Scandinavian Journal of Educational Research, 49, 225-244. : Poulisse, N. & Schils, E. (1989). The influence of task- and proficiency-related factors on the use of compensatory strategies: A quantitative analysis. Language Learning, : Reyes-Cruz, M. D., Rueda de León-Barbosa, L. I., & Murrieta-Loyo, G. (2017). Undergraduate Preservice EFL Teachers’ Conceptions of Research: A Quantitative Analysis. Colombian Applied Linguistics Journal, 19(1), 67-83. [217]https://doi.org/10.14483/calj.v19n1.10534 : Schrire, Sarah. 2006. Knowledge building in asynchronous discussion groups: Going beyond quantitative analysis. Computers & Education, 46(1), 49-70. : The data gathered for this study were predominantly quantitative in nature. The specific quantitative analysis focused on the occurrences of learning strategies throughout the reading task, according to the taxo-nomy provided by O'Malley et al. (1985b). : Yassin, S. M., Marsh, D., Tek O. E., & Ying, L. Y. (2009). Learners' perceptions towards the teaching of science through English in Malaysia: A quantitative analysis. International CLIL Research Journal, 1(2), 54-69. Retrieved from [87]http://www.icrj.eu/12/article6.html |