LITOSSELITI RESEARCH METHODS IN LINGUISTICS PDF

An in-depth introduction to all research methods in linguistics, this is the ideal textbook for undergraduate and postgraduate students. Research. Research Methods in Linguistics. Front Cover. Lia Litosseliti. A&C Black, Apr 9, – Social Science – pages. Buy Research Methods in Linguistics by Lia Litosseliti (ISBN: ) from Amazon’s Book Store. Everyday low prices and free delivery on eligible.

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This means that it will be large enough to reveal something about fre- quencies of certain linguistic phenomena, enabling researchers to examine what is typical, as well as what is rare in language.

I would not now necessarily employ or recommend a long list of subordinate research questions. It is not unusual for researchers from one field to be sceptical towards the outputs of the other. However, it will be evident for the reader that issues of design, collection and analysis of data are central to any discussion of methods, and are therefore in the foreground in most of the chapters in this collection and especially in the earlier chapters.

A typical example is the age of acquisition onset debate in second language acquisition research. Finally, the author discusses the inter- pretation of quantitative results, and the issue of combining quantitative and qualitative methods in linguistic research.

Research Methods in Linguistics – Google Books

Bloomsbury PublishingFeb 19, – Social Science – pages. At the start of a project, neither may be too much of a problem, because a research question should not straightjacket you. So, in reality, what listeners heard was two recordings from each of four litosseljti speakers, where the only methoods between the two recordings for each speaker was the language spoken i.

It is beyond the scope of litossekiti chapter to consider potential barriers in reconciling different theoretical assumptions, however, the ques- tion on the extent to which quantitative and qualitative methodologies are compatible is relevant. Once again, the com- putation of a chi-square statistic is rather straightforward if again a bit tedious.

The mean refers to an imagined central point of the data set; it is a figure that can be used to represent the overall character of the data. In this case we would have to make an active decision to indicate overlapping speech on the transcript, and further to decide and document how to do this.

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This further research can take a variety of forms. This new total figure is our chi-square statistic.

Research Methods in Linguistics

Research Methods in Linguistics Dimensions: This could mean that the rewearch value of I am ignoring a detail here, which is the distinction between groups that can be assumed to have equal variance and those that cannot. So the British National Corpus, which covers a very wide range of written and spoken language genres and is intended to act as a standard reference for British English, is million words in size. In their early researhc, Greene et al.

For the sake of simplicity, in this chapter we will only consider cases where the independent variables are categorical. As well as tagging stylistic features of the text, words, phrases or sentences can be tagged with additional linguistic information. My aim how- ever is to problematize both a range of issues relevant to aligning a research project to a specific paradigm, and the practicalities that may affect research designs, the collection and interpretation of data and dissemination of findings.

In linguistic research, we also often analyse continu- ous variables, whether in terms of various social aspects e. These interrogatives suggest different sorts of research questions: Obviously, the first step is actually conducting the research.

Doing Research in Applied Linguistics.

Research Methods in Linguistics (Research Methods in Linguistics) Lia Litosseliti: Continuum

The next thing to jn is to construct your table of expected values. The basic point is that quantitative methods can only take you so far. For example, while most of my own Ph. Note also that I have artificially adapted the data from 32 to 26 speakers for ease of explanation. In this gesearch, we briefly go over some of the basic concepts involved in choosing an appropriate statistical test, before turning to a more detailed examination of two of the more commonly used tests.

And hence, the question needs to be rephrased accordingly: I consider this study to be a clear example of how quantitative and qualitative components can be combined to address a research topic that many would associate solely with qualitative research. For example, in many research projects, research question 1 is descriptive Does. The chapter finally demonstrates corpus analysis, providing exam- ples of word frequencies, keywords, collocates and concordances.

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Of course, even without any data from the questions preceding each of these two research questions, it is possible and may be instructive to speculate about many possible answers. Are some more general or more specific than others? Different statistical tests are used depending on whether the variables you are examining both independent and dependent are continuous or categorical. I discuss the coding of questionnaires with specific reference to analysing data using the Microsoft Excel software7 in detail in Rasingerso will limit the expla- nations here to the basics.

We can look at the range of values 32 cm. See also Creswell et al. He holds a D. That means that in order for the chi-square test to be robust, we need at least 30 tokens.

Longitudinal studies, however, are based on the repeated collection of data over a longer period of time, hence enabling us to observe any changes in vari- ables which may ersearch over time. It tackles ontological and epistemological issues and it will be helpful for all students conducting research in applied linguistics.

There are sound theoretical justifications for this approach: His research areas include corpus linguistics, critical discourse analysis and language, gender and sexuality. According to the typology of mixed methods designs suggested by Greene et al.

In our example, the mean of the Middle Class group is 0. The data as in all para- digms need to be analysed and interpreted systematically and following rigor- ous theoretical grounding.

Hypotheses are more characteristic of the natural than the social sciences. The most common example of paired data is what is called a repeated measures experiment, where you measure a variable value on the same person twice usually before and after some experimental treatment.