Up Learn – A Level Psychology (AQA) – research methods (part 1)
What is Controlled Observation?
A controlled observation is when researchers conduct observations of participants in a controlled environment. In a controlled observation, the researcher selects which participants to observe, where and when to observe them, and standardises the procedure. This means that researchers have good control over extraneous variables. But a con of controlled observations is that they might lack ecological validity.
A*/A guaranteed or your money back
More informationWant to see the whole course?
No payment info required!
More videos on Research Methods (Part 1):
Introduction to Methods of Data Collection (free trial)
Methods of Data Collection (free trial)
Self-report Technique (free trial)
Open and Closed Questions (free trial)
Strengths of Closed Questions Over Open Questions (free trial)
Strengths of Open Questions Over Closed Questions (free trial)
Structured and Unstructured Interviews (free trial)
Strengths and Weaknesses of Structured and Unstructured Interviews (free trial)
Problems with Self-report Methods: Objectivity (free trial)
Problems with Self-report Methods: Social Desirability Bias (free trial)
Questionnaires vs Interviews: Speed of Data Collection (free trial)
Questionnaires vs Interviews: Investigator Effects (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 when researchers observe participants, and measure or record their behaviour, we call it the…
We call it the observational technique.
There are three key decisions that researchers have to make when they use the observational technique:
They need to decide on the type of observation, how aware the participants will be, and the role the researcher will play.
So, first up, researchers need to decide what type of observation to conduct.
There are two types of observation: controlled and naturalistic observations.
First we’re going to look at controlled observations.
For example, here’s Emma, a sleep researcher.
Emma is interested in the association between number of hours a student sleeps, and the amount of social interaction the students have with their friends.
To investigate the association between sleep and the amount of time students spend interacting with their friends, Emma gets her participants to come into her laboratory.
First, she measures the amount of time that the students sleep.
Then, the next day, also in the laboratory, she observes the amount of time they spend interacting with their friends.
Emma is conducting a correlational study.
Now, in her studyexperiment, Emma decides where and when the students will sleep, and makes sure the light levels and noise levels are consistent across all of the participants.
In other words, she controls her environmental surroundings, or situational variables.
Now, in her experiment, Emma carefully controls her environmental surroundings.
And, when researchers conduct observations of participants in a controlled environment like this, we call it a controlled observation.
Now, controlled observations don’t have to be conducted in a laboratory, although they very often are…
Instead, we say an observation is controlled if the researcher can decide which participants to observe, where and when the observation takes place, and can control the environment and use a standardised procedure.
So, which of these is a controlled observation?
These are controlled observations, but this is not.
And this also isn’t, because the researchers have used questionnaires, a self-report technique.
So, Emma uses a controlled observation to study the association between sleep and social interaction.
But, there are a few problems with her study…
Because the students are sleeping in an unfamiliar laboratory instead of their own beds, they sleep worse than usual.
In their own rooms, when they sleep, they’re used to different light and noise levels, and different mattresses, so the change in environment disrupts their sleep.
And when Emma measures the interactions between students and their friends, she’s observing them in a laboratory…
But the students feel weird about being in a research laboratory with a researcher watching their every move, so, they hang back and talk less than usual.
This means that the students’ behaviour in the study may not generalise to how they would behave in everyday life!
In other words, the study lacks ecological validity.
Since her study lacks ecological validity, Emma decides to study a second observation, which this time, will be a naturalistic observation.
And we’ll see what that means next – but first, to sum it up, a controlled observation is…
A controlled observation is when researchers conduct observations of participants in a controlled environment.
In a controlled observation, the researcher selects which participants to observe, where and when to observe them, and standardises the procedure.
This means that researchers have good control over extraneous variables…
But a con of controlled observations is that they might lack ecological validity.