understanding the marketing research processold.staff.neu.edu.tr/~rserdaroglu/files/mr... · slide...
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Slide 3.1
Near East UniversityNear East University
MARKETING RESEARCHMARKETING RESEARCH
MARK 401MARK 401
Understanding TheUnderstanding The Marketing ResearchMarketing Research ProcessProcessDefining the marketing research problem and developing a research approachDefining the marketing research problem and developing a research approach
SESSIONSESSION 33
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
Near East UniversityNear East University
MARKETING RESEARCHMARKETING RESEARCH
MARK 401MARK 401
Understanding TheUnderstanding The Marketing ResearchMarketing Research ProcessProcessDefining the marketing research problem and developing a research approachDefining the marketing research problem and developing a research approach
SESSIONSESSION 33
Rana SerdarogluSource:Malhotra and Birks, et al. Chp 2
Dr Eric Shiu lecture notes
Slide 3.2
Chapter outlineChapter outline
1) Marketing research process2) Research design classification3) Descriptive Research
a) Cross-sectional designb) Longitudinal designc) Relative advantages and disadvantages of longitudinal and cross-sectional
designs4) Causal research5) Relationships between exploratory, descriptive, and causal research6) Potential sources of error in research designs
a) Random sampling errorb) Non-sampling error
i. Non-response errorii. Response error
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
1) Marketing research process2) Research design classification3) Descriptive Research
a) Cross-sectional designb) Longitudinal designc) Relative advantages and disadvantages of longitudinal and cross-sectional
designs4) Causal research5) Relationships between exploratory, descriptive, and causal research6) Potential sources of error in research designs
a) Random sampling errorb) Non-sampling error
i. Non-response errorii. Response error
Steps in marketing researchprocess
1.Define marketing research problem2.Develop research approach3.Develop research design4.Carry out fieldwork5.Prepare and analyze data6.Prepare report and present
Steps in marketing researchprocess
1.Define marketing research problem2.Develop research approach3.Develop research design4.Carry out fieldwork5.Prepare and analyze data6.Prepare report and present
Step 1: Define the marketing researchproblem
If you want to design and conduct the marketingresearch properly you should define marketingresearch problem properly
THINK: You have a toothache; If dentist do not definewhich tooth has bruise, the treatment will not end yourpain.
CONS;Preoccupied with the symptomsDefining too broadly or too narrowlyUnfamiliarity with the environment in whichmarketing research problem is to be defined
Step 1: Define the marketing researchproblem
If you want to design and conduct the marketingresearch properly you should define marketingresearch problem properly
THINK: You have a toothache; If dentist do not definewhich tooth has bruise, the treatment will not end yourpain.
CONS;Preoccupied with the symptomsDefining too broadly or too narrowlyUnfamiliarity with the environment in whichmarketing research problem is to be defined
HOW TO DEFINE A MARKETING RESEARCHPROPLEM
WHAT IS THE CAUSE?GENERAL TERMS OF THE CAUSES? WHAT ARETHE COMPONENETS?UNDERSTAND THE ENVIRONMENT
COMMUNICATION, COMMUNICATION,COMMUNICATION HOW…?
RESEARCH BRIEFQUALITATIVE INTERVIEWS
ANAYSIS OF REDILY AVAILABLE SECONDARY DATA
HOW TO DEFINE A MARKETING RESEARCHPROPLEM
WHAT IS THE CAUSE?GENERAL TERMS OF THE CAUSES? WHAT ARETHE COMPONENETS?UNDERSTAND THE ENVIRONMENT
COMMUNICATION, COMMUNICATION,COMMUNICATION HOW…?
RESEARCH BRIEFQUALITATIVE INTERVIEWS
ANAYSIS OF REDILY AVAILABLE SECONDARY DATA
Step 2: Define Research Approach
Results of the research approach developmentprocess should comprise any of the four component:
1.Objective/Theoretical framework2.Analytical model3.Research question4.Hypothesis
Ex: Rolex is considering advertising its products on flyers make itto be considered as a ‘down market’ for its high status brand.Three hypothesis:Rolex is perceived to be an expensive brandUsers of Rolex have high-than-avarage incomesUsers of Rolex see the products as presence of their status.
Step 2: Define Research Approach
Results of the research approach developmentprocess should comprise any of the four component:
1.Objective/Theoretical framework2.Analytical model3.Research question4.Hypothesis
Ex: Rolex is considering advertising its products on flyers make itto be considered as a ‘down market’ for its high status brand.Three hypothesis:Rolex is perceived to be an expensive brandUsers of Rolex have high-than-avarage incomesUsers of Rolex see the products as presence of their status.
Step 3: Research design
There are a huge array of alternativeresearch designs that can satisfy researchobjectives. The key is to create a designthat enhances the value of the informationobtained, whilst reducing the cost ofobtaining it.
Slide 3.7
There are a huge array of alternativeresearch designs that can satisfy researchobjectives. The key is to create a designthat enhances the value of the informationobtained, whilst reducing the cost ofobtaining it.
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
Slide 3.8
Research design definitionResearch design definition
A research design is a framework or blueprint for
conducting the marketing research project. It details
the procedures necessary for obtaining the
information needed to structure or solve marketing
research problems.
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
A research design is a framework or blueprint for
conducting the marketing research project. It details
the procedures necessary for obtaining the
information needed to structure or solve marketing
research problems.
Research design from the marketer’sperspective
• Accurate• Current• Sufficient• Available• Relevant
• Accurate• Current• Sufficient• Available• Relevant
Summary of the uses of exploratoryresearch designs
• Background information• Formulate hypotheses• Concept identification• Screening• Salient behaviour and attitude patterns• Belief and attitude structures• Explore statistical differences• Sensitive issues• Difficult to articulate• Data mine
• Background information• Formulate hypotheses• Concept identification• Screening• Salient behaviour and attitude patterns• Belief and attitude structures• Explore statistical differences• Sensitive issues• Difficult to articulate• Data mine
Summary of the uses of conclusiveresearch designs
• Describe relevant groups• Percentage exhibiting behaviour• Counting frequencies• Representing larger populations• Integrate findings from different sources• Perceptions of products and services• Compare findings over time• Measure in a consistent manner• Determine association among variables• To make specific predictions
• Describe relevant groups• Percentage exhibiting behaviour• Counting frequencies• Representing larger populations• Integrate findings from different sources• Perceptions of products and services• Compare findings over time• Measure in a consistent manner• Determine association among variables• To make specific predictions
Slide 3.15
•Information needed may beloosely defined•Research process is flexible,unstructured and may evolve•Samples are small•Data analysis can be qualitativeor quantitative
Table 3.1Table 3.1 Differences between exploratory and conclusive researchDifferences between exploratory and conclusive research
• Information needed is clearly defined• Research process is formal and
structured• Sample is large and aims to be
representative• Sample is large and aims to be
representative• Data analysis is quantitative
Characteristics
To test specific hypotheses and examinerelationships
To measure
To provide insights andunderstanding of the nature ofmarketing phenomena
To understand
Objectives
ConclusiveExploratory
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
Can be used in their own rightMay feed into conclusive researchMay illuminate specific conclusive
findings
•Information needed may beloosely defined•Research process is flexible,unstructured and may evolve•Samples are small•Data analysis can be qualitativeor quantitative
•Expert surveys•Pilot surveys•Secondary data•Qualitative interviews•Unstructured observations•Quantitative exploratorymultivariate methods
• Surveys• Secondary data• Databases• Panels• Structured observations• Experiments
Methods
Can be used in their own rightMay feed into exploratory researchMay set a context to exploratory findings
Findings/results
• Information needed is clearly defined• Research process is formal and
structured• Sample is large and aims to be
representative• Sample is large and aims to be
representative• Data analysis is quantitative
Slide 3.16
CrossCross--sectional designssectional designs
Involve the collection of information from any given sample ofpopulation elements only once.
In single cross-sectional designs, only one sample ofrespondents and information is obtained from this sample onlyonce.
In multiple cross-sectional designs, there are two or moresamples of respondents, and information from each sample isobtained only once. Often, information from different samples isobtained at different times.
Cohort analysis consists of a series of surveys conducted atappropriate time intervals, where the cohort serves as the basic unitof analysis. A cohort is a group of respondents who experience thesame event within the same time interval.
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
Involve the collection of information from any given sample ofpopulation elements only once.
In single cross-sectional designs, only one sample ofrespondents and information is obtained from this sample onlyonce.
In multiple cross-sectional designs, there are two or moresamples of respondents, and information from each sample isobtained only once. Often, information from different samples isobtained at different times.
Cohort analysis consists of a series of surveys conducted atappropriate time intervals, where the cohort serves as the basic unitof analysis. A cohort is a group of respondents who experience thesame event within the same time interval.
Slide 3.17
Longitudinal designsLongitudinal designs
A fixed sample (or samples) of population elements ismeasured repeatedly on the same variables.
A longitudinal design differs from a cross-sectional design inthat the sample or samples remain the same over time.
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
A fixed sample (or samples) of population elements ismeasured repeatedly on the same variables.
A longitudinal design differs from a cross-sectional design inthat the sample or samples remain the same over time.
Slide 3.18
Uses of casual researchUses of casual research
To understand which variables are the cause (independentvariables) and which variables are the effect (dependentvariables) of a phenomenon.
To determine the nature of the relationship between thecausal variables and the effect to be predicted.
Method: experiments
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
To understand which variables are the cause (independentvariables) and which variables are the effect (dependentvariables) of a phenomenon.
To determine the nature of the relationship between thecausal variables and the effect to be predicted.
Method: experiments
Slide 3.19
CrossCross--sectional vs. Longitudinalsectional vs. Longitudinal
Samplesurveyed
at T1
Samesample
alsosurveyed
at T2
Cross-sectionaldesign
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
Samplesurveyed
at T1
Samesample
alsosurveyed
at T2
T1 T2
Longitudinaldesign
Time
Slide 3.20
Relative advantages and disadvantages ofRelative advantages and disadvantages oflongitudinal and crosslongitudinal and cross--sectional designssectional designs
Evaluationcriteria
Cross-sectionaldesign
Longitudinaldesign
Detecting changeLarge amount of data collectionAccuracy
---
+++
Evaluation Cross-sectionaldesign
Longitudinaldesign
Detecting changeLarge amount of data collectionAccuracy
---
+++
Evaluationcriteria
Cross-sectionaldesign
Longitudinaldesign
Detecting changeLarge amount of data collectionAccuracy
---
+++
Evaluation Cross-sectionaldesign
Longitudinaldesign
Detecting changeLarge amount of data collectionAccuracy
---
+++
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
Large amount of data collectionAccuracyRepresentative samplingResponse bias
--++
++--
Note: A ‘+’ indicates a relative advantage over the otherdesign, whereas a ‘-’ indicates a relative disadvantage.
Large amount of data collectionAccuracyRepresentative samplingResponse bias
--++
++--
Note: A ‘+’ indicates a relative advantage over the otherdesign, whereas a ‘-’ indicates a relative disadvantage.
Large amount of data collectionAccuracyRepresentative samplingResponse bias
--++
++--
Note: A ‘+’ indicates a relative advantage over the otherdesign, whereas a ‘-’ indicates a relative disadvantage.
Large amount of data collectionAccuracyRepresentative samplingResponse bias
--++
++--
Note: A ‘+’ indicates a relative advantage over the otherdesign, whereas a ‘-’ indicates a relative disadvantage.
Slide 3.21
CrossCross--sectional data may notsectional data may notshow changeshow change
Brand purchased Time periodPeriod 1 Period 2survey survey
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
Brand A 200 200Brand B 300 300Brand C 500 500Total 1000 1000
Slide 3.22
Longitudinal data may showLongitudinal data may showsubstantial changesubstantial change
Brandpurchasedin period 1
Brand purchased in period 2
Brand A Brand B Brand C Total
Naresh Malhotra and David Birks, Marketing Research, 3rd Edition, © Pearson Education Limited 2007
Brandpurchasedin period 1Brand ABrand BBrand CTotal
1002575
200
50100150300
50175275500
2003005001000