Up Learn – A Level Psychology (AQA) – research methods (part 1)
Opportunity Sampling: Advantages and Disadvantages
The con of opportunity sampling is that the sample won’t be very representative of the population. And this is because some members of the population are more likely to be willing and available to be participants on the day!
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More videos on Research Methods (Part 1):
What is a Sample? (free trial)
Types of Sampling: Volunteer Sampling (free trial)
Volunteer Sampling: Pros and Cons (free trial)
Types of Sampling: Opportunity Sampling (free trial)
Opportunity Sampling: Pros and Cons
Volunteer vs Opportunity Sampling (free trial)
Types of Sampling: Systematic Sampling (free trial)
Systematic Sampling: Pros and Cons (free trial)
Types of Sampling: Random Sampling (free trial)
Research Methods (Part 1)
2. Cause and Effect (free trial)
3. The Scientific Process (free trial)
4. The Scientific Process: Aims (free trial)
5. The Scientific Process: Hypothesis (free trial)
6. Independent and Dependent Variables (free trial)
7. Levels of the Independent Variable (free trial)
8. Operationalisation (free trial)
9. The Scientific Process: Methods (free trial)
10. The Scientific Process: Results & Conclusions (free trial)
2. Features of Science: Hypothesis Testing (free trial)
3. Features of Science: Empirical Evidence (free trial)
4. Features of Science: Falsifiability (free trial)
5. Features of Science: Replicability (free trial)
6. Features of Science: Control (free trial)
7. Control: Extraneous Variables (free trial)
8. Control: Confounding Variables (free trial)
9. Article – Extraneous vs Confounding Variables (free trial)
10. Features of Science: Objectivity (free trial)
11. Features of science: Theory construction (free trial)
2. Validity – Part 1 (free trial)
3. Validity – Part 2 (free trial)
4. Assessing Validity (free trial)
5. Assessing Validity: Face Validity (free trial)
6. Assessing Validity: Concurrent Validity (free trial)
7. Reliability – Part 1 (free trial)
8. Reliability – Part 2 (free trial)
9. Internal and External Reliability (free trial)
10. The Split-half Method (free trial)
11. The Test-retest Method (free trial)
2. Extraneous Variables: Participant Variables (free trial)
3. Extraneous Variables: Investigator Effects (free trial)
4. Investigator Effects: Researcher Expectations (free trial)
5. Extraneous Variables: Situational Variables (free trial)
6. Introduction to Demand Characteristics (free trial)
7. Situational Variables Can Be Demand Characteristics (free trial)
8. Investigator Effects Can Be Demand Characteristics (free trial)
9. Demand Characteristics: Influence on Behaviour (free trial)
10. Effects of Extraneous Variables on Validity and Reliability (free trial)
11. Controlling for Extraneous Variables: Standardisation (free trial)
12. When Can We Use Standardisation? (free trial)
13. Controlling Extraneous Variables: Matching (free trial)
14. Controlling Extraneous Variables: Random Allocation (free trial)
15. Blinding (free trial)
16. Single and Double Blinding (free trial)
17. Extraneous Variables: Summary (free trial)
2. What is Sampling? (free trial)
3. Types of Sampling: Volunteer Sampling (free trial)
4. Volunteer Sampling: Pros and Cons (free trial)
5. Types of Sampling: Opportunity Sampling (free trial)
6. Opportunity Sampling: Pros and Cons (free trial)
7. Volunteer vs Opportunity Sampling (free trial)
8. Types of Sampling: Systematic Sampling (free trial)
9. Systematic Sampling: Pros and Cons (free trial)
10. Types of Sampling: Random Sampling (free trial)
11. Random Sampling: Pros and Cons (free trial)
12. Types of Sampling: Stratified Sampling (free trial)
13. Stratified Sampling: How? (free trial)
14. Stratified Sampling: Pros and Cons (free trial)
15. Sampling Summary (free trial)
2. What is an Experiment? (free trial)
3. Types of Experiment: Laboratory Experiments (free trial)
4. Pros and Cons of Laboratory Experiments (free trial)
5. Types of Experiment: Field Experiments (free trial)
6. Pros and Cons of Field Experiments (free trial)
7. Types of Experiment: Quasi Experiments (free trial)
8. Pros and Cons of Quasi Experiments (free trial)
9. Types of Experiment: Natural Experiments (free trial)
10. Pros and Cons of Natural Experiments (free trial)
11. Types of Experiment: Summary (free trial)
12. Types of Experimental Design (free trial)
13. Matched Pairs Design (free trial)
14. Independent Groups Design (free trial)
15. Repeated Measures Design (free trial)
16. Repeated Measures: Limitations (free trial)
17. Repeated Measures: Counterbalancing (free trial)
18. Experimental Designs: Comparison (free trial)
19. Experimental Designs for Quasi and Natural Experiments (free trial)
2. What are Non-Experimental Methods? (free trial)
3. Single Variable Studies (free trial)
4. Correlational Studies: What is a Correlation (free trial)
5. Correlational Studies: Positive and Negative Correlations (free trial)
6. What is a Correlational Study (free trial)
7. Correlational Studies: Correlation is not Causation (free trial)
8. Correlational Studies: Pros and Cons (free trial)
9. Case Studies (free trial)
10. Pros of Case Studies (free trial)
11. Cons of Case Studies (free trial)
2. Methods of Data Collection (free trial)
3. Self-Report Technique (free trial)
4. Open and Closed Questions (free trial)
5. Strengths of Closed Questions over Open Questions (free trial)
6. Strengths of Open Questions over Closed Questions (free trial)
7. Structured and Unstructured Interviews (free trial)
8. Strengths and Weaknesses of Structured and Unstructured Interviews (free trial)
9. Problems with Self-Report Methods: Objectivity (free trial)
10. Problems with Self-Report Methods: Social Desirability Bias (free trial)
11. Questionnaires vs Interviews: Speed of Data Collection (free trial)
12. Questionnaires vs Interviews: Investigator Effects (free trial)
13. Questionnaires vs Interviews: Quality of Data (free trial)
14. Questionnaires vs Interviews: Biased Sampling (free trial)
Last time, we saw that opportunity sampling is…
Last time, we saw that opportunity sampling is when the researcher
approaches members of the population who are willing and available to be participants
Opportunity sampling is when a researcher approaches members of the population who are willing and available to be participants.
Like Sean, who waits outside Sainsburys and approaches people to ask what they bought!
Now, hundreds and hundreds of people go to Sean’s local Sainsbury’s every day. So after a couple hours standing by the door, Sean has loads of participants!
So, a pro of opportunity sampling is it’s a quick and easy way to get participants
However, Sean chose to conduct his opportunity sampling on a Tuesday morning. This means that his sample didn’t include many children, who were all at school – or full-time workers who were all at work!
Instead, his sample only included the people who go to Sainsburys in the middle of a work day – like old people or unemployed people.
Because Sean chose to sample on Tuesday at 11am, his sample is not representative of all Sainsbury’s customers, which is the population he’s trying to study.
But what if he just decided to go to Sainsbury’s during the evening instead? Well, his sample will now include all the adults who shop on their way home from work 🙂 …but now the sample won’t include the old people who are all at home, or anyone who works evenings! So it still won’t be representative of the whole population.
So, a con of opportunity sampling is that the sample won’t be very representative of the population.
No matter where or when you do opportunity sampling, some members of the population are more likely to be willing and available to be participants!
For instance, most psychology studies take place on university campuses.
So when researchers use opportunity sampling they usually end up with a sample that’s made up entirely of young students, which is not representative of the entire population.
So, in summary, The pro of opportunity sampling is that it’s a quick and easy way to sample participants!
However, The con of opportunity sampling is that the sample won’t be very representative of the population.
And this is because some members of the population are more likely to be willing and available to be participants on the day!