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    11 ResearchMethods

    Prof. TIAN Bing

    Shaanxi Normal

    University

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    Fig. 0 A Birds-Eye-View of Applied Linguistic Studies

    I. overview & history

    An Introduction Traditional Thoughts of Education Foreign Language Education (Pedagogical) Lexicography

    II. Lg Description

    Language Descriptions Language Corpora. Stylistics. Discourse Analysis. vs CA

    III. Cognitive & Social

    Language Acquisition: L1 vs L2 Language, Thou ght, and Culture. Language and Gender. Language and Politics. World Englishes.

    IV. Methods and Testing

    Research Methods Language Test ing.

    V. Learning

    Second Language Learning. Individual Differences in Second

    Language Learning.

    Social Influ ences on LanguageLearning.

    VI. Teaching

    Fashions in Language TeachingMethodology.

    Computer Assisted Langua geLearning

    Language Teacher Education. The Practice of LSP Bilingual Education.

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    1. Research Methods for Applied Linguistics:Scope, Characteristics, and Standards

    1 The Scope of Applied Linguistics Research

    2 Characteristics of Applied Linguistics Research

    3 Standards for Sound Applied LinguisticsResearch

    4 Ethical considerations

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    1.1 Defining applied linguistics

    research 1 Definitions that listed the types of research (e.g., An investigation of

    a particular topic, or problem, through a document search and/or

    empirical study (the conducting of experiments) and analysis and

    Investigation through the reading of literature, experimentationand/or any other type of data gathering . . .)

    2 Definitions that listed the topics of research (e.g., In its widest

    sense, to seek new ways to improve language education and

    intercultural communication training and Searching for information

    on how students process information, internalize data and retain itfor communicative purposes.)

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    3 Definitions that covered the purpose of research (e.g., The search

    for information that will help practitioners (in this case, teachers) better

    carry out their jobs . . . and Systematic study of language issues

    and use in order to improve delivery of services to our students.) 4 Definitions that enumerated the steps in the process of research

    (e.g., Working toward truth, proving theories, trying out new

    approaches and then compiling results, analyzing results and

    sharing with colleagues and Stating a hypothesis; gathering data;

    testing the hypothesis; relating the conclusions to issues at hand.)

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    any systematic and principled inquiry in

    applied linguistics.

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    2 Characteristics of Applied

    Linguistics Research Applied linguistics research can be described from many different

    perspectives including at least

    (1) the contextual factors involved in applied linguistics research,

    (2) van Liers parameters of educational research design, (3) Grotjahns data collection methods, data types, and data

    analysis procedures,

    (4) other sets of research characteristics, and

    (5) the qualquant continuum.

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    2.1 Contextual factors in applied

    linguistics research 1 International and national contexts. International and national

    organizations and governmental bodies support a fair amount of

    applied linguistics research. Since they control the money, their

    political priorities tend to influence who will do such research andhow.

    2 Professional contexts. Within applied linguistics, the types of

    research that are popular at any given time vary; for a few years,

    interest in one type of research may increase at the expense of

    another, then interest may be rekindled for that latter type. In other

    words, even research can have its trends and fads.

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    3 Institutional contexts. Institutional contexts in applied linguistics

    research can refer to everything from entire school districts, toindividual language programs, or even to very specific individual

    tutoring situations. Within these institutional contexts a number of

    factors can influence the type and quality of research: the size of

    the institution, availability of resources to support research,

    institutional policies and priorities, the institutions past experienceswith researchers, and even the personalities of the various

    administrators and teachers involved.

    4 Local contexts. Local contexts refer to the specific

    circumstances in which the research will take place. The context

    may be a classroom, laboratory, private home, Internet bulletin

    board, or even a coffee shop. A number of factors in the local context

    may turn out to be important to the success or failure of a research

    study:

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    (a) physical context (e.g., class size, layout of the school, etc.),

    (b) time context (e.g., minutes per class, classes per day, etc.),

    (c) social context (e.g., language backgrounds, ethnic mix of the

    students, etc.), (d) pedagogical context (e.g., teaching methods used, preferred

    learning styles of the students and teachers, etc.),

    (e) psychological context (e.g., comfort level of participants with

    regard to research studies, etc.).

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    5 Personal contexts. Individual researchers have certain

    preconceptions about the aspects of applied linguistics that ought to be

    researched, the form that research should take, and their role in the

    research process. Such preconceptions and preferences arise fromindividual differences in abilities, personalities, motivations, priorities,

    training, etc. and may influence the types of research a particular

    individual or group will be interested in doing.

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    2.2 Van Liers parameters of educational

    research design As shown in Figure 19.4 (from van Lier, 1988) research can also be

    described in terms of an intervention axis (i.e., degree of

    intervention, from intervention to non-intervention) and a selectivity

    axis (i.e., selectivity of focus, from highly selective to non-selective). For example, on the intervention axis, research can take the form

    of a formal experimental design with a randomly assigned treatment

    and control groups, which would be an intervention study, or it can take

    the form of a series of informal classroom observations, which

    would be more in the direction of a non-intervention study. On the

    selectivity axis, research can be highly selective in focus (e.g.,

    obligatory use of the definite article by immigrant Chinese

    adolescent men from Guangdong province), or non-selective (e.g., all

    language related behaviors observed of all participants in a population

    of students).

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    The selectivity and intervention axes also create what van Lier

    calls four territories:

    1 controlling, in which the researcher conducts a carefully planned

    experiment restricted both in participants and content focus; 2 measuring, in which intervention is minimal but the data focus

    is highly restricted;

    3 asking/doing, in which the researcher might intervene to ask

    participants to talk about what they are thinking;

    4 watching, in which the researcher just observes with bothintervention and selectivity kept to a minimum.

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    2.3 Grotjahns data collection methods,

    data types, and data analysis procedures According to Grotjahn (1987), research can be classified in terms

    of data collection methods (i.e., experimental vs. non-

    experimental), data types (i.e., qualitative vs. quantitative), and

    data analysis procedures (statistical vs. interpretive).

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    2.4 Other sets of research

    characteristics 2.4.1 Time orientation Another way to classify research is according to time orientation, or the

    amount of time invested in gathering data. Along those lines,

    studies are sometimes classified as either cross-sectional or

    longitudinal (e.g., see Larsen-Freeman & Long, 1991).

    Cross-sectional studies are those conducted over a short period of

    time, often with a relatively large number of participants. For instance,

    a study might gather language proficiency data (using a test),

    motivation data (using a questionnaire), and personal informationdata (on the same questionnaire) from 300 students in a one-shot

    cross-sectional study.

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    In contrast, longitudinal studies are typically carried out over a

    relatively long period of time, often with a small number of participants.

    For example, a study might dedicate five years to following five

    students of varying backgrounds, making careful observations oftheir language proficiency growth, their motivation to learn

    languages, their personal characteristics, etc.

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    Other ways of describing the time orientation have recently

    surfaced like prolonged engagement (observations and

    involvement with a group of people over a long period of time),

    persistent observations (frequent observations over that long periodof time), and the cyclical nature (data collection, analysis,

    interpretation, followed by further data collection, analysis,

    interpretation, etc.) of longitudinal studies in the exploratory-

    interpretative tradition (see especially, Davis, 1995, pp. 4445).

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    2.4.2 Theory generation

    Studies can also differ in terms of theory generation, which can

    take two forms: hypothesis forming and hypothesis testing.

    Hypothesis forming research may begin with some very general

    framing questions, but will typically have no hypotheses to startwith. In such a study, the researcher will make every effort to

    keep an open mind and form hypotheses about what is going on

    only after a great many observations of various sorts.

    The resulting hypotheses are typically considered part of the

    interpretation, and the researcher often goes back to theparticipants to ask them if the hypotheses are reasonable (in a

    process called member checking). One of the great strengths often

    cited for qualitative research is its potential for forming new

    hypotheses.

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    In contrast, hypothesis testing research begins with a set of

    research questions and hypotheses. Sometimes the hypotheses

    are stated; more often they are implicit in the research questions.

    The statistical analyses in such studies are designed to formally

    test the probability that the hypotheses are true and typically

    include some form of probability statement, like p < 0.01, which

    indicates that there is less than a one percent probability that the

    observed difference (or relationship) is a chance fluctuation.

    One of the strengths often cited for quantitative research is its

    potential for hypothesis testing.

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    2.4.3 Variable description

    Similarly, variable description can take two forms in applied linguistics

    research: variable definition and variable operationalization.

    In variable definition research, the researcher attempts to begin with

    no preconceived notions of what the important variables in thestudy will be, or how they will be defined.

    As the study progresses, the process of discovering and describing

    variables serves to gradually define them.

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    In variable operationalization research, the researcher clearly

    outlines the variables of interest from the outset (particularly the

    dependent, independent, and moderator variables) and explains how

    each one was operationalized, that is, how each one was observed or

    measured and quantified.

    For instance the variable Japanese language proficiency might be

    operationalized a scores on a particular Japanese proficiency test,

    or the variable nationality might be operationalized as 1 for

    Chinese, 2 for Japanese, and 3 for Korean based on asking each

    of the participants what passport they hold, etc.

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    2.4.4 Researcher perspective

    The researchers perspective is sometimes described as either

    emic or etic. Researchers adopting the emicperspective make every

    effort to understand the point of view of the participants and to examine

    how the interpretations drawn from the research relate to those

    views through practices such as member checking (getting the

    participants reactions to the interpretations drawn from the research).

    Researchers assuming the etic perspective take an outsiders

    view during the data gathering process, often attempting to be as

    objective as possible (for more on the emic/etic distinction, see Davis,

    1995, p. 433).

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    2.5 The qualquant continuum

    2.5.1 The qualitative versus quantitative dichotomy

    Reichardt and Cook (1979, p. 10) summarize the differences between

    qualitative and quantitative research as shown in Table 19.2. Notice

    that the column on the left in Table 19.2 is labeled Qualitativeparadigm and that the column to the on the right is labeled

    Quantitative paradigm, with each column containing adjectives

    and adjectival phrases describing each paradigm.

    A number of these distinctions are uncontroversial and make eminent

    sense; for example, the fact that the qualitative paradigm advocatesqualitative methods and the quantitative paradigm advocates

    quantitative methods and the fact that the qualitative paradigm is

    typically naturalistic where the quantitative paradigm would more

    accurately be characterized as controlled.

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    However, I disagree with other distinctions, especially those that begin

    with un-. Uncontrolled observation and ungeneralizable both

    seem to me to be unfair characterizations of qualitative research.

    The observations in qualitative research are often well planned andstructured in their own ways, as in a well-designed interview

    schedule, a classroom observation checklist, or a carefully planned

    discourse coding scheme.

    Ungrounded appears to me to be an equally unfair characterization of

    quantitative research because such research is sometimes quiteexploratory. I would also argue that the use of the terms subjective

    and objective has become outdated partly because the two terms have

    become highly loaded over the years (Porter, 1998) and partly

    because those loaded meanings do not accurately characterize the

    two types of research.

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    2.5.2 General problems with the qualitative

    versus quantitative dichotomy Such a qualitative versus quantitative approach also has a number of

    general problems:

    1 Dichotomizing qualitative versus quantitative research leaves out

    altogether secondary research types like literature reviews. 2 It treats as monolithic at least seven very distinct qualitative

    research techniques (case study research; introspection research;

    discourse analysis research; interactional analysis research;

    classroom observation research; interviews; and questionnaires).

    3 It represents as monolithic at least ten qualitative researchtraditions that come from a variety of other fields like

    anthropology and theology (see Table 19.3, adapted slightly from

    Lazaraton, 1995, p. 460).

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    4 It presents as monolithic at least six very different quantitative

    research techniques (interviews; questionnaires; descriptive;

    exploratory; quasiexperimental; and experimental).

    5 It ignores the way survey research, including interviews andquestionnaires, is both qualitative and quantitative.

    6 It ignores the ways researchers often combine qualitative and

    quantitative research techniques (as shown above in the

    Grotjahns analysis in Table 19.1).

    7 It confuses research methods (interpretive, survey, andstatistical) and research techniques (like those listed in the second

    and fourth points above).

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    2.5.3 The qualquant interactive continuum

    Perhaps a more constructive and accurate approach would be to view

    qualitative and quantitative research as a matter of degrees, a

    continuum, rather than a clear-cut dichotomy like the one shown in

    Table 19.2. As Newman and Benz (1998) put it, All behavioral

    research is made up of a combination of qualitative and quantitative

    constructs (p. 9). They advocate the notion of a qualquant research

    continuum, as opposed to a dichotomy, and insist that the continuum

    be considered interactive.

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    Figure 19.5 shows how 12 research characteristics can be

    combined to create an almost infinite number of possible

    interrelationships and thus to describe a wide variety of different

    research types.