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    Scientific Methods

    and Research Design

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    Scientific MethodAccording to Karl Pearson, there are three distinct characteristics of the scientific method

    Careful and accurate classification of facts and

    observation of their correlation and sequence

    The discovery of scientific laws with the aid of the

    creative imagination

    Self-criticism and the final touchstone of equal validity

    for all normally constituted minds

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    Comparison of scientific method and non-scientific method

    The scientific method is more objective as compared to the

    non-scientific method

    The scientific method is more precise than the non-scientific

    method

    The scientific method takes cognizance of the existing

    knowledge in a particular field, carries out further

    investigations in it and compares the results with those

    obtained earlier

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    Research Design

    Research design is the plan, structure, and strategy of investigation

    conceived so as to obtain answers to research questions and to control

    variance. ...Kerlingerthe blue print of the collection, measurement and analysis of data. It

    aids the scientist in the allocation of his limited resources by posing

    crucial choices-is the blueprint to include experiments, interviews,

    observation, the analysis of records, stimulation, or some combination of

    these? Are the methods of data collection and the research situation to be

    highly structured? Is an intensive study of a small sample more effective

    than a less intensive study of a larger sample? Should the analysis be

    primarily or qualitative?

    ...Bernard S. Phillips

    A research design is the specification of methods and procedures for

    acquiring the information needed. It is the over-all operational pattern or

    framework of the project that stipulates what information is to be

    collected from which sources by what procedures. Green and Tull

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    Research Design

    ExploratoryDescriptive Causal

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    EXPLORATORY RESEARCH

    The focus is on the discovery of ideas.

    In a business where sales have been

    declining for the past few months,

    the management may conduct a

    quick study to find out what couldbe the possible explanationsthe

    sales might have declined on

    account of a number of factors, such

    as the deterioration in the quality of

    the product, increased competition,

    inadequate or ineffective

    advertising, lack of efficient and

    trained salesman or use of the

    wrong channels of distribution.

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    Characteristics of Exploratory Research

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    EXP

    LORATORYRESEARC

    H

    SECONDARY DATA

    EXPERIENCE SURVEY

    FOCUS GROUP STUDY

    CASE STUDY

    T

    YPESOFEXPLORATORYRES

    EARCH

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    DESCRIPTIVE RESEARCH

    When the researcher wants to know the characteristics of certain

    groups such as age, sex, educational level, occupational level,

    occupation or income, a descriptive study may be necessary.

    When the researcher wants to know the proportion of people in a

    given population who have Behaved in a particular manner,

    making projections of a certain thing; or determining the

    relationship Between two or more variables.

    The objective of such a study is to answer the who, what,when, where, and how of the subject under investigation.

    Descriptive studies are well-structured and tends to be rigid and

    its approach cannot be changed every now and then.

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    Cross-sectional Studies Longitudinal

    Descriptive Study

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    Cross-

    sectionalstudies

    A cross-sectional study is concerned with a sample of elements from a given

    population. For example-households, dealers, retail stores, or other entities.

    It is of two types

    Field Study

    Survey

    A major strength of survey research is its wide scope.

    It is economical as more information can be collected per

    unit of cost.

    It is less time consuming.

    Generally, survey research does not penetrate below the surface as more

    emphasis is given to the extent of info sought rather than to an in-depth

    analysis.

    Another disadvantage is that survey demands more time and more money

    when it is conducted on a large scale.Another limitation of survey is that the interview may make the respondent

    alert and cautious and he may not answer the questions in a natural manner.

    Finally, researcher needs to be knowledgeable as he must know the

    technicality of constructing good questionnaires, interviewing the

    respondents, editing, coding and tabulation of data and the statistical

    techniques to analyze the data.

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    Longitudinal Studies

    It is based on panel data and panel methods.

    A panel is sample of respondents who are interviewed and then

    reinterviewed from time to time.

    ADVANTAGES

    Such data enable the researcher to undertake detailed analysis. Thus, one candetermine the characteristic of individuals who have changed brands and those who

    have not.

    Re interview of the families means that they have provided their acceptance to such

    study which ensures to collect more comprehensive data.

    As such collected data is more accurate than survey method.

    Cost of data collection is lower than in case of personal interviews.

    DISADVANTAGES

    A major criticism of panels is that they may not be representative samples.

    Another limitation is reporting of wrong data.

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    CAUSAL DESIGNS

    A causal design investigates the cause and effect

    relationship between two or more variables.

    Suppose a company ABC Ltd. managed to sold 1 million units

    of shampoo bottles in 2010 and 1.5 million units in 2011. In

    year 2011 he also launched a promotional campaign of this

    product. Now ABC Ltd. wants to know was the increase in

    sales in 2011 due to that promotional campaign?

    The design of causal research is based on reasoning along well tested lines.

    John Stuart Mill formulated a set of principles based on logic for causal

    research. The principles are the method of agreement, the method of

    negative agreement and the method of concomitant variation.

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    CAUSAL DESIGNS

    The method of agreement says that when two or more cases of a

    given phenomenon have one and only one condition in common,

    then that condition may be regarded as the cause (or effect) of the

    phenomenon

    ZCA B

    ZEDC

    ZCTherefore

    If

    and

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    CAUSAL DESIGNS

    Mills second principle is the negative canon of agreement which states that

    when conditions non-C is found to be associated with observation non-Z, we

    may hold that a causal relationship exists between C and Z.

    The method of agreement and the negative canon of agreement form the basis

    of a third method known as the method difference. This method states that

    when there are two or more cases, and in one of them observation Z can be

    made, while in the other it cannot; and if factor C occurs when observation Z is

    made and does not occur when observation Z is not made, then one can say that

    C and Z have a causal relationship.

    ZCA B

    Non

    Z

    Non

    CDC

    ZCTherefore

    produce

    produce

    produce

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    CAUSAL DESIGNS

    ill recognized one more method known as the method of concomitant variation.

    It states that if a change in the amount of one

    variable is accompanied by a comparable change in

    the amount of another variable in two or more cases,

    and the latter change does not occur in the absence of

    the first change, one change is the cause (or effect) ofthe other.

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    CAUSAL INFERENCE STUDIES

    Natural Experiments Controlled Experiments

    It can be of two types

    The main distinction lies in the degree of intervention

    and manipulation exercised by the researcher.

    High intervention

    and manipulation

    Less intervention

    and manipulation

    involves involves

    f l i

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    Types of Natural Experiments

    Time-series & Trend

    Designs

    Cross-Sectional

    DesignsCombination of Two

    In a time-series design, data are obtained from the same sample or population at

    successive intervals from a panel of individuals or households.

    Trend data relate to matched samples drawn from the same population at successive

    intervals.

    Thus there is no continuity in the sample in trend designs as a result of which data can

    be analyzed in the aggregate form.

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    Types of Time-series and Trend Designs

    The One-Shot Case Study Known as Try-Out design

    Consider this example-

    Where X indicates the exposure of a subject or group to an

    experimental treatment whose effect is to be observed, and O

    indicates the observation or measurement taken on the subjector group after an experimental treatment. Suppose that we

    provide training to a group of salesmen (X) for a certain

    period and then measure the sales effected by this group of

    salesmen (O).

    X O

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    Types of Time-series and Trend Designs

    Before-after without control group It has a prior measurement as well

    Consider this example-

    O-1 X O-2

    or

    O-1 O-2 O-3 X O-4 O-5 O-6

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    Types of Time-series and Trend Designs

    Multiple Time-Series It involves control group

    Consider this example-

    O-1 O-2 O-3 X O-4 O-5 O-6

    and

    O-1 O-2 O-3 X O-4 O-5 O-6

    Control Group

    Experimental Group

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    Cross Sectional Designs

    In cross-sectional designs, the effect of different

    levels of treatments are measured on severalgroups at the same time.

    Consider this example-

    X-4

    X-1

    X-2

    X-3

    O-1

    O-2

    O-3

    O-4

    Cross-sectional designs are used when varying levels of advertising is done for the same product

    but in different territories or when varying prices are fixed in different territories. The impact of

    varying levels of treatment is studied on the basis of the sales of the product in differentterritories.

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    Combination of Cross Sectional and Time-Series Designs

    These designs, as the name implies, combine the time-series and

    cross-sectional designs. While there can be many variants, a more

    frequently used design is the ex-post-facto test-control group. Thedesign can be shown symbolically as follows and is well suited to

    continuous panel data:

    O-1

    O-2

    O-3

    O-4

    X

    Consider this example-

    A certain advertisement (X) is run and panel members are then asked if they had seen it

    earlier. Those who had may constitute a test or experimental group and those who had

    not form the control group. It may be noted here that the experimental and control

    groups would not be known until after the advertisement was run. The impact of the

    advertisement is measured by comparing the differences in purchases made by theexperimental and control groups before and after the advertisement.

    Hi t m th before d after m m t t

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    ontrolledExperim

    ents History may cause the before and after measurements todiffer. There may be certain developments during the

    intervening period as a result of which the two measurements

    may not be comparable.

    The second factor is maturation which signifies biological

    and psychological changes in the subject which take place

    with the passage of time.

    The third factor is the pre-testing which may affect the

    internal validity of the before-after design.

    Finally, variation in measurement may cause variations in the

    before and after measurements and these may be taken as the

    effect of the experimental variable.

    The foregoing limitations indicate the

    need for a control group against whichthe results in the experimental group

    can be compared.

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    ontrolledExperim

    ents In controlled experiments, two kinds of intervention on the

    part of the researcher are required.

    The first relates to the manipulation of at least oneassumed independent or causal variable so that the effect

    of one or more treatments on the experimental variables

    can be measured.

    The second intervention relates to the assignment of

    subjects to experimental and control groups on a random

    basis so that the effect of extraneous factors can be

    controlled. As the size of the experimental and the

    control group increases, the effect of extraneous factors

    on these groups can be equalized or balanced by using a

    random selection procedure.

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    Sources

    of

    Experimental

    Error

    History

    Maturatio

    n

    Premeasurement

    Effect

    Interactive

    Testing

    Effect

    Instrumentation

    SelectionBias

    StatisticalRegression

    Mortality

    Criteria of Good Research Design

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    Criteria of Good Research Design

    The main criterion of a research design is

    that it must answer the research questions.

    To do this, it is necessary that proper

    hypotheses be formulated otherwise there

    may be a lack of congruence between the

    research questions and hypotheses.

    The second criterion relates to control of

    independent variablesboth the

    independent variables of the study as also

    extraneous independent variables.

    The third criterion is generalisability. Towhat extent can we generalize the results

    of the study?