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Chapter 6. Unique considerations for ISLA research across approaches

  • Laura Gurzynski-Weiss and YouJin Kim
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Abstract

In this chapter, which comprises Section III, we discuss several of the most important and impactful considerations that can affect ISLA research design, implementation, and interpretation across methodological approaches. We unpack the use of intact classes, small sample sizes, and recruiting one’s current students as participants. We highlight how to reduce a potential observer effect and what additional limitations one may introduce by having others collect your data. Additionally, we discuss the need to measure learner and teacher individual differences, specifying which are most likely at play in an L2 classroom and what methodological options are robust and realistic for measurement. We then unpack the risk for outside exposure to a given target structure in longitudinal designs, for example, and how to measure potential outside influences. We discuss the reality of heterogeneous prior knowledge and the importance of continuing to recalibrate ISLA research to a bi/multilingual norm. Finally, we move into a step-by-step example of the decision-making necessary when conducting an ISLA study, suggest resources in the field, and provide links to further reading. Throughout the chapter, we include a focus on research ethics particularly relevant for ISLA.

Abstract

In this chapter, which comprises Section III, we discuss several of the most important and impactful considerations that can affect ISLA research design, implementation, and interpretation across methodological approaches. We unpack the use of intact classes, small sample sizes, and recruiting one’s current students as participants. We highlight how to reduce a potential observer effect and what additional limitations one may introduce by having others collect your data. Additionally, we discuss the need to measure learner and teacher individual differences, specifying which are most likely at play in an L2 classroom and what methodological options are robust and realistic for measurement. We then unpack the risk for outside exposure to a given target structure in longitudinal designs, for example, and how to measure potential outside influences. We discuss the reality of heterogeneous prior knowledge and the importance of continuing to recalibrate ISLA research to a bi/multilingual norm. Finally, we move into a step-by-step example of the decision-making necessary when conducting an ISLA study, suggest resources in the field, and provide links to further reading. Throughout the chapter, we include a focus on research ethics particularly relevant for ISLA.

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