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8/4/2019 Brm Presentation 1

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PRESENTATION

onCAUSAL RESEARCH DESIGN

By:

Nikhil Singh

Shikha SinghRanjan Mishra

Suman Saurabh

Sandee U ain


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Casual research design investigates thecause and effect relationship between twoor more variable. This design measures

the extent of relationship between thevariable.

Causal research is useful to show the

impact of one variable on the other. For example price and market demand

relationship or relationship between

market competition and saleserformance.

CAUSAL RESEARCH


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Positive and Negative impact ofadvertising on sales can be studiedthrough causal research.

The relationship between the causalfactors can be studied through causalresearch.

The variable which create effect onother variable can be studied indepth through causal research.

Conti


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HISTORICAL

FIELD SURVEY

EXPERIMENTAL

THE DESIGNS FOR CAUSALRESEARCH CAN BE DIVIDED

INTO 3 CATEGORIES.


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Historical causal research is thestudy of past events and questionsusing methods in sociology and

other social scientific research toinform the possible outcomes andanswer to current events and

questions.

HISTORICAL


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ARCHIVAL DATA

SECONDARY SOURCESRUNNING RECORDS

RECOLLECTION.

METHODS USE TO COLLECT

HISTORICAL


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In this method data/informationare obtained from a general studyof a large number of respondent by

specific questions.

The response may be collected :

Face to faceTelephone survey

Mail survey

FIELD SURVEY


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In this there is controlled manipulation ofone or more independent variables so thatits effect on one or more dependent

variables are measured.The most common of these design in

marketing research and experimental

economics are test market and purchaselabs. The techinques are commonly used inother social sciences including sociology,psychology and social works.

EXPERIMENTAL


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True experimental design isregarded as the most accurate formof experimental research, in that it

tries to prove or disprove a hypothesismathematically, with statisticalanalysis.

Participants are given money, scriptor money to purchase in a simulatedstore.

TRUE EXPERIMENTALDESIGN


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Theresults of

ADVANTAGES


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Conditions beingunder complete

control and notbeing representative

of real world

DISADVANTAGES


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It control some but not all of theextraneous factors. A test market is anexample of this. A new product is

typically introduced in a select numberof cities.These cities must berepresentative of the overall nationalor international population. Themarketer has controlled overmarketing mix variables but almost nocontroll over the broader business

environment variables.

QUASI EXPERIMENTALDESIGN


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It is used when randomization isimpossible.

By utilizing this it minimizesthreats to external validity asnatural environment do not suffer

artificiality as compared to wellknown laboratory test.

Quasi experiments are natural

experiments finding in one is

ADVANTAGES OF QUASIRESEARCH


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It poses many challenges for theinvestigators in terms of internalconstrains.

The control allowed through themanipulation of the quasi

independent variable can lead tounnatural circumstances.

DISADVANTAGES OF QUASIRESEARCH


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Use of causal researchdesign


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Cont.


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Time order

this refer to a situation where the causeshappen before the effect.


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