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Read e-book online An A-Z of applied linguistics research methods PDF

By Shawn Loewen, Luke Plonsky

ISBN-10: 1137403217

ISBN-13: 9781137403216

"A short and obtainable creation to the suggestions and strategies utilized in utilized linguistics study, with the intention to be illustrated utilizing real-life examples. The e-book covers either qualitative and quantitative examine layout, sampling techniques, instrumentation and analyses present in utilized linguistics research"--

summary: "A short and available creation to the recommendations and strategies utilized in utilized linguistics learn, with the intention to be illustrated utilizing real-life examples. The publication covers either qualitative and quantitative study layout, sampling methods, instrumentation and analyses present in utilized linguistics learn"

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A comparison group differs from a control group in that the latter does not participate in any of the research activities, except for the pretest and posttests. Sometimes in applied linguistics and particularly in SLA, a group is called a control group when it is actually a comparison group. Shadish, W. , Cook, T. , & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin. Confidence interval (CI) A descriptive statistic that indicates a range of values within which the true population value is likely to be found.

That is, it enables researchers to interpret the result in standardized units, which can be compared across studies and/or combined via meta-analysis, regardless of the number of items in the scale or measure being used. , treatment vs. comparison group). By doing so, the d value provides a measure of the treatment’s practical significance. For example, as shown in Table 3, we can compare the effect sizes found by different studies investigating the effectiveness of vocabulary learning. 75, but the d value from Wa-Mbaleka’s meta-analysis was twice as large.

Thus, from a statistical point of view, it is not possible to say that because there is a strong correlation between amount of study and level of knowledge, that one causes the other, even though there may be a logical basis for such assertions. A controlled experiment, ideally with random assignment of participants to experimental conditions, must be conducted in order to make any claims of causation. Correlations, like many other statistical tests, can be run with or without the assumptions of a parametric (normal) distribution.

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An A-Z of applied linguistics research methods by Shawn Loewen, Luke Plonsky


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