Up Learn – A Level Psychology (AQA) – research methods (part 1)
Research Methods: Standardisations
One way to control extraneous variables is through standardisation, which is when researchers make an extraneous variable the same for all participants in a study.
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More videos on Research Methods (Part 1):
Extraneous Variables: Introduction (free trial)
Extraneous variables: Participant Variables (free trial)
Extraneous variables: Investigator Effects (free trial)
Investigator Effects: Researcher Expectations (free trial)
Extraneous Variables: Situational Variables (free trial)
Introduction to Demand Characteristics (free trial)
Situational Variables Can Be Demand Characteristics (free trial)
Investigator Effects Can Be Demand Characteristics (free trial)
Demand Characteristics: Influence on Behaviour (free trial)
Effects of Extraneous Variables on Validity and Reliability (free trial)
Controlling for Extraneous Variables: Standardisation (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 looked at the effects of extraneous variables on validity and reliability, and saw that extraneous variables reduce both the validity and the reliability of a study.
So, because of all of the uncontrolled extraneous variables in her study, – like room temperature, and puppy personality, – Patty’s study lacks validity and reliability.
But Patty doesn’t want her study to lack validity and reliability, so, what can she do about it? How can she control her extraneous variables?
One way to control extraneous variables is through standardisation.
In Patty’s study, if everyone sits in different types of chair [show range of chairs varying from super comfy to shit stools], so some participants sit on horrible hard stools and others on nice comfy sofas [add people to chairs], some of her participants will end up feeling in a better mood than others [people on stools look grumpy, those on sofa look happy].
And that could influence the responses participants give on the depression questionnaire.
But if instead, Patty makes sure all of her participants are sitting on chairs that are exactly the same, then, she’ll know that any changes she sees in her participant’s mood and depression score WON’T be due to the chairs…
And the chairs will no longer influence the results of the study.
When researchers make an extraneous variable the same for all of the participants in a study, we say that they have standardised the extraneous variable.
If Patty’s participants are all sitting on different types of chairs, then Patty has not standardised the chairs.
But if Patty makes all the chairs the same in her study, then she has standardised the chairs.
Even if Patty makes all her participants sit on hard stools, then, she will have standardised the chairs – because the type of chair will be the same for everyone.
So, which of the following extraneous variables have been standardised?
These have been standardised, but these haven’t!
To sum it up, one way to control extraneous variables is through standardisation, which is when researchers make an extraneous variable the same for all participants in a study.