The purpose of the chapter is to orient readers to reliability considerations specific to instruments and data coding practices in applied linguistics (AL) research. To that end, the chapter begins with a general discussion of different types of reliability (both internal and external to an instrument itself), including the different indices and models used to estimate reliability and their respective interpretations. Methods for improving the reliability of data coding and instrument scoring practices will then be discussed, followed by a summary of best practices in coder/rater training and norming. Throughout, guidelines for addressing common limitations with respect to reliability analysis and reporting in AL research will be outlined, including suggestions for how to address these issues in operational contexts.
CITATION STYLE
Grabowski, K. C., & Oh, S. (2018). Reliability Analysis of Instruments and Data Coding. In The Palgrave Handbook of Applied Linguistics Research Methodology (pp. 541–565). Palgrave Macmillan. https://doi.org/10.1057/978-1-137-59900-1_24
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