Improving Data Analysis in Second Language Acquisition by Utilizing Modern Developments in Applied Statistics

2009 ◽  
Vol 31 (3) ◽  
pp. 368-390 ◽  
Author(s):  
Jenifer Larson-Hall ◽  
Richard Herrington
1988 ◽  
Vol 79-80 ◽  
pp. 77-112 ◽  
Author(s):  
Teresa Pica

Abstract This article will review options which confront second language acquisition researchers in their analysis of a learner’s morpheme production. It will first critically examine several different procedures which can be used to compute production accuracy, particularly when assigning values to morpheme oversuppliance, substitution, and regularization, and then review various ways in which morpheme suppliance scores can be computed within individual linguistic contexts or on overall basis, across a speaker’s corpus. Conversations with 18 native Spanish speaking adult acquirers of English L2 will be used to highlight the often contradictory results obtained when one procedure is chosen over another to quantify the same corpus of morphemes, and to set forth problems which arise when comparisons are made of learners whose morpheme production accuracy has not been computed under the same procedures. Finally, the argument will be made that issues arising from procedural choices in morpheme data analysis are also relevant to research on other dimensions of second language acquisition.


2001 ◽  
Vol 22 (4) ◽  
pp. 641-643
Author(s):  
Martha C. Pennington

This workbook is a revised edition of the volume published in 1984 by Larry Selinker and Susan Gass entitled Workbook in Second Language Acquisition. Like the first edition, this edition provides a research-centered view of second language acquisition (SLA) that seeks to build an awareness of the issues, types of data, and methods of analysis through a series of practical problems of data analysis and related questions. The data and problems, which all focus on English as the target language, are drawn from articles published between 1968 and 1993, the majority of them “SLA classics” published in the 1980s. The book includes a short glossary and has accompanying tape-recorded material not provided to the reviewer.


2012 ◽  
Vol 28 (3) ◽  
pp. 369-382 ◽  
Author(s):  
Ian Cunnings

As in any field of scientific inquiry, advancements in the field of second language acquisition (SLA) rely in part on the interpretation and generalizability of study findings using quantitative data analysis and inferential statistics. While statistical techniques such as ANOVA and t-tests are widely used in second language research, this review article provides a review of a class of newer statistical models that have not yet been widely adopted in the field, but have garnered interest in other fields of language research. The class of statistical models called mixed-effects models are introduced, and the potential benefits of these models for the second language researcher are discussed. A simple example of mixed-effects data analysis using the statistical software package R (R Development Core Team, 2011) is provided as an introduction to the use of these statistical techniques, and to exemplify how such analyses can be reported in research articles. It is concluded that mixed-effects models provide the second language researcher with a powerful tool for the analysis of a variety of types of second language acquisition data.


Author(s):  
Rhanya Rafaella Rodrigues ◽  
Elena Ortiz Preuss

Researchers have debated the need to consider the effects of interaction between pedagogical conditions and individual differences (IDs) on the process of second language acquisition (SLA) (AUTHOR; SANZ, 2016; SANZ; SERAFINI, 2018). Therefore, this study was developed to analyze the interaction between pedagogical conditions and IDs in the acquisition of declarative and interrogative utterances in Spanish / L2. For data analysis, three instruments were used: i) a questionnaire of historical and linguistic proficiency; ii) an attention control test; iii) sentence production and perception/comprehension tests of comprehension and production of sentences. In total, the study had 10 participants. The results showed that age and skills domain are variables that seem to have influenced the performance of participants.


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