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Reanelle Navea

Biographic Data

ID168535
NAMEReanelle Navea
GIVEN NAMESReanelle
FAMILY NAMENavea
SIGNATURENAVEA R
AFFILIATIONSUniversity of Texas at Arlington, Arlington, TX, USA
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS10
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2013
H-INDEX1
  • Predicting Final Course Performance From Students' Written Self-Introductions

    Open Access•Rebecca L Robinson, Rebecca Robinson et al.•ARTICLE•Journal of Language and Social…•2013•Cited by: 10•References: 10

    Using a sample of 363 participants, we tested whether differences in the use of linguistic categories in written self-introductions at the start of the semester predicted final course performance at the end of the semester. The results supported this possibility: Course performance could indeed be predicted by relative word usage in particular linguistic categories-predominantly by the use of punctuation (commas and quotes), word simplicity, firs…

  • Predicting Final Course Performance From Students' Written Self-Introductions

    Open Access•Rebecca L Robinson, Rebecca Robinson et al.•ARTICLE•Journal of Language and Social…•2013•Cited by: 10•References: 10

    Using a sample of 363 participants, we tested whether differences in the use of linguistic categories in written self-introductions at the start of the semester predicted final course performance at the end of the semester. The results supported this possibility: Course performance could indeed be predicted by relative word usage in particular linguistic categories-predominantly by the use of punctuation (commas and quotes), word simplicity, firs…

  • Predicting Final Course Performance From Students' Written Self-Introductions

    Open Access•Rebecca L Robinson, Rebecca Robinson et al.•ARTICLE•Journal of Language and Social…•2013•Cited by: 10•References: 10

    Using a sample of 363 participants, we tested whether differences in the use of linguistic categories in written self-introductions at the start of the semester predicted final course performance at the end of the semester. The results supported this possibility: Course performance could indeed be predicted by relative word usage in particular linguistic categories-predominantly by the use of punctuation (commas and quotes), word simplicity, firs…

Artificial Intelligence (1 works) · Computer Science (1 works) · Digital Communication and Language (1 works) · Discourse Analysis in Language Studies (1 works) · EFL/ESL Teaching and Learning (1 works) · Linguistics (1 works) · Psychology (1 works) · Punctuation (1 works) · Simplicity (1 works)

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