The Population Sample

  • The sample population refers to the people you are actually going to use
  • You will need to create a list of characteristics (parameters) which can be applied to your sample
  • You need to identify how and where you will gain access to your sample
  • You need to identify which sample approach you will take
  • You will need to write something like this…

 Based on the population analysis the sample population will be define as:

Student Characteristics:

1) Own and driven their own car for more than one year

2) Be under 25 years

3) Be on any college course

Retired Characteristics:

1) Own and driven their own car for more than one year

2) Be over 60 years

3) Classify themselves as retired or semi-retired

This report will use a combination of quota and stratified sampling approach to identify and survey likely participants.  This is due to the nature of the study and the associated constraints applied to all projects which include financial costs, time limits and availability and health and safety.

For the students identification will be achieved through strategic positioning which offers the ability to observe the college carpark whilst being located on the thoroughfare to and from the main carparks.   A sample quota of 20 students will be gained.

The retired sample identification will take place at the local supermarket where strategic position will be used to observe the carpark and whilst being located on the main thoroughfare between the store and the carpark.  Permission will need to be gained from the supermarket and college to undertake this study on their grounds, see ethical form. A sample quota of 20 students will be gained.

A sample population refers the group which will be tested and meets the population characteristics

  • Under 16years
  • People with pink hair
  • Red cars
  • Footballers

A sample refers to the participant from the population

  • They represent the population
  • It is quicker to test and easier to control
  • It is cheaper to test a few people compared to hundreds, thousands or millions of people

Sampling Approaches (more here halfway down)

  • Random Sampling
    • Randomly select your sample from the population
    • For example, randomly select 30 year seven students
  • Cluster Sampling
    • Randomly select your sample from different groups (clusters)
    • Randomly select 30 students from each year group
  • Quota Sampling
    • Test 40 students 20 males and 20 females
    • This sample is not randomly selected
  • Stratified sampling
    • Testing people based on a group characteristic
    • Both groups must have the variable which is being tested
    • Age
    • Gender
  • Respondent-driven sampling (RDS)
    • Friends ask friends (facebook, twitter etc…) also known as snowball
  • The sample size

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