Up Learn – A Level Psychology (AQA) – research methods (part 1)
What is Temporal Validity?
A study has temporal validity when the results of a study generalise across time.
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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 the results of a study generalise to how people behave in everyday life, we say that…
Ecological validity is the first of the three types of external validity.
The second type of external validity is called temporal validity.
Now, suppose a health researcher is interested in investigating people’s attitudes towards smoking.
Before spending lots of money conducting a big, expensive survey, she decides to find out if anyone has conducted any surveys about attitudes towards smoking already.
After a bit of digging, she finds an article from the 1950s entitled “Attitudes to smoking: a massive survey”, which says that the majority of people think that smoking really isn’t bad for you in any kind of way.
Now even though there’s already a paper researching people’s attitudes towards smoking, the health researcher decides that, since she already has grant money for her research, she might as well conduct her study anyway.
But, the results of her study don’t match up with the 1950s survey; in her study, she finds that the majority of people think that smoking is bad for your health.
So, why don’t the results of the two surveys match up?
Well, society has changed a lot since the 1950s.
We now know way more about the negative effects that smoking has on a person’s health… for instance, we now know that smoking causes lung cancer.
Because our awareness of the effects of smoking has increased a lot since the 1950s, the results from the 1950s survey don’t generalise to how people feel about smoking today.
Now, when the results of a study generalise across time, we say that the study has temporal validity.
The 1950s smoking survey results don’t generalise across time, so, the survey lacks temporal validity.
Now, suppose a young PhD student decides to try and replicate some famous memory research from the 1960s, showing that people can only remember about 5 words in short-term memory at once.
If she finds that nowadays, people can still only remember about 5 words at once in short-term memory, then the memory research from the 60s has temporal validity.
But if she finds that nowadays, people can remember 10 words at once in short-term memory, then the memory research from the 60s lacks temporal validity.
Now, which of the following examples might lack temporal validity?
This study lacks temporal validity, because musical tastes have changed a lot in the past 100 years.
This study also lacks temporal validity, because the political situation of the world has changed a lot in the past 80 years.
And, finally, this study also lacks temporal validity, because, no one even uses MySpace anymore!
To sum it up, a study has temporal validity when the results of a study generalise across time.