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Marketing
   Research

Lec: Doç. Dr. Mehmet Emin İnal
Steps in Sampling Process

 Define the Population
 Frame the Population
 Chosee a Sample Design
 Draw the sample
 Execute the research
What is POPULATION?
 All the values and people that is
  accounted
 Size of population differs regarding the
  research
     ugurpek

 Must include interested subjects and
  values
How do we define population?

 Decide the focus group of research
  (human, firms, hotels etc.)
 Decide the geographic area of
  research( Turkey, Alanya etc.)
 Decide time interval
Sample
Subgroup of population that can present
 the whole population
Why do we use sample?
   Budget limitation
    Time limitation
   Impossible to reach all population
   Urgency to reach results
Sampling steps
 Sample frame selection
 Choose a sample design
 Decide the sample size regarding the
  budget, time limit
Sample frame selection
 Samplwe frame is a list or set of
  directions identifying all the sample
  units in the population
 It can be list of names,telephone
  numbers, area map etc.
 Sample frame must be accurate and
  corrected in order to succeed
Sample Design

                Random Sampling        Non-Random Sampling




Cost            High                   Low




Accuracy        High                   Low




Time            Much                   Less




Acceptability   Universal acceptance   Rational Acceptance




Generability    Good                   Bad
Random Sampling
 Each unit have equal chance to be
  choosen
 No personal impact from reasearcher
 Sampling error can be calculated
 No guaratee to present the population
  perfectly ( bias may happen)
Random Sampling
1.   Simple random sampling
2.   Systematic sampling
3.   Cluster sampling
4.   Stratified sampling
1.Simple Random Sampling
 Equal chance to be
  chosen
 Sampling size must be
  decided
2. Systematic Sampling
 Easiest way of random sampling
 Use a pattern ,system to choose
  sample
 No need to have full list of sample
3. Cluster Sampling
 To cluster sample within the
  geographical districts
 Easy to manage
 Less costly
 Generability is a problem
4. Stratified Sampling
 To use subgroups of sample
 Ex: use of ages

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Research

  • 1. Marketing Research Lec: Doç. Dr. Mehmet Emin İnal
  • 2. Steps in Sampling Process  Define the Population  Frame the Population  Chosee a Sample Design  Draw the sample  Execute the research
  • 3. What is POPULATION?  All the values and people that is accounted  Size of population differs regarding the research ugurpek  Must include interested subjects and values
  • 4. How do we define population?  Decide the focus group of research (human, firms, hotels etc.)  Decide the geographic area of research( Turkey, Alanya etc.)  Decide time interval
  • 5. Sample Subgroup of population that can present the whole population
  • 6. Why do we use sample?  Budget limitation  Time limitation  Impossible to reach all population  Urgency to reach results
  • 7. Sampling steps  Sample frame selection  Choose a sample design  Decide the sample size regarding the budget, time limit
  • 8. Sample frame selection  Samplwe frame is a list or set of directions identifying all the sample units in the population  It can be list of names,telephone numbers, area map etc.  Sample frame must be accurate and corrected in order to succeed
  • 9. Sample Design Random Sampling Non-Random Sampling Cost High Low Accuracy High Low Time Much Less Acceptability Universal acceptance Rational Acceptance Generability Good Bad
  • 10. Random Sampling  Each unit have equal chance to be choosen  No personal impact from reasearcher  Sampling error can be calculated  No guaratee to present the population perfectly ( bias may happen)
  • 11. Random Sampling 1. Simple random sampling 2. Systematic sampling 3. Cluster sampling 4. Stratified sampling
  • 12. 1.Simple Random Sampling  Equal chance to be chosen  Sampling size must be decided
  • 13. 2. Systematic Sampling  Easiest way of random sampling  Use a pattern ,system to choose sample  No need to have full list of sample
  • 14. 3. Cluster Sampling  To cluster sample within the geographical districts  Easy to manage  Less costly  Generability is a problem
  • 15. 4. Stratified Sampling  To use subgroups of sample  Ex: use of ages