HOW KNOWLEDGEABLE ARE APPLIED LINGUISTICS AND SLA RESEARCHERS ABOUT BASIC STATISTICS?
| Autor: | Jungmin Lim, Talip Gonulal, Shawn Loewen, Jeffrey Maloney, Dustin Crowther, Daniel R. Isbell, Laura Ballard, Magda Tigchelaar |
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| Rok vydání: | 2019 |
| Předmět: |
050101 languages & linguistics
Linguistics and Language Descriptive statistics Knowledge level 05 social sciences Applied linguistics Second-language acquisition 050105 experimental psychology Language and Linguistics Frequent use Education Quality research Statistical analyses Statistics 0501 psychology and cognitive sciences Knowledge test Psychology |
| Zdroj: | Studies in Second Language Acquisition. 42:871-890 |
| ISSN: | 1470-1545 0272-2631 |
| DOI: | 10.1017/s0272263119000548 |
| Popis: | Despite the prevalence of quantitative approaches in applied linguistics (AL) and second language acquisition (SLA) research (Gass, 2009), evidence indicates a need for improvement in analyzing and reporting SLA data (e.g., Larson-Hall & Plonsky, 2015). However, to improve quantitative research, researchers must possess the statistical knowledge necessary to conduct quality research. This study assesses AL and SLA researchers’ knowledge of key statistical concepts on a statistical knowledge test. One hundred and ninety-eight AL and SLA researchers from North America and Europe responded to 26 discipline-specific questions designed to measure participants’ ability to (a) understand basic statistical concepts and procedures, (b) interpret statistical analyses, and (c) critically evaluate statistical information. Results indicate that participants generally understood basic descriptive statistics, but performance on items requiring more advanced statistical knowledge was lower. Quantitative research orientation, number of statistics courses taken, and frequent use of statistics textbooks had positive influences on researchers’ statistical knowledge. |
| Databáze: | OpenAIRE |
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