scientific method and research design
TRANSCRIPT
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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?