Research methods are the foundation of how psychologists study human...
Other54 views·Updated 10 Aug 2026·2 pagesUnderstanding GCSE Research Methodologies
Ismael Chraihi@ismaelchraihi_ulbx
1
of 2
Understanding Variables in Psychology Research
Every psychological study starts with a theory - basically an educated guess about why people behave the way they do. But theories alone aren't enough; psychologists need to test them using proper research methods to see if they actually hold up.
The independent variable (IV) is what the researcher deliberately changes or manipulates in their experiment. Think of it as the 'cause' they're testing - like whether studying with music affects memory performance. Most studies compare two different conditions to see what happens.
The dependent variable (DV) is what gets measured - it's the outcome the researcher is interested in. Going back to our music example, the DV would be how well people actually remember information. The key rule? Only changes in the IV should affect the DV.
Operationalisation means making your variables measurable and clearly defined. Instead of saying "does stress affect performance," you'd specify exactly how you'll measure stress (heart rate? questionnaire scores?) and performance (test scores? reaction times?). Extraneous variables are all those annoying factors that could mess up your results - things like noise, temperature, or lighting that need to be controlled, usually in a laboratory setting.
Quick Tip: Remember IV = Input (what you change), DV = Dependent on what you did (what you measure)
2
of 2
Sampling Methods: Who Takes Part?
Getting the right people for your study is crucial - after all, you want your findings to actually mean something beyond just the people who participated. Sampling methods determine who ends up in your research.
Random sampling is like pulling names from a hat or using a computer generator. It's brilliant because there's no bias in who gets chosen, but it takes ages to organise and can be expensive. Opportunity sampling is the opposite - you just grab whoever's available (think students in your psychology class). It's quick and cheap, but your sample might not represent the wider population at all.
Systematic sampling involves picking every nth person from a complete list - like every 10th name on the electoral register. This avoids researcher bias since you can't cherry-pick participants, but you might still end up with a skewed group if there's a pattern in your list.
Stratified sampling is the gold standard but requires serious effort. You select participants in the same proportions as they exist in the population - so if 30% of your target population is aged 16-25, then 30% of your sample should be too. It gives you the most representative results but is incredibly time-consuming to set up properly.
Remember: The bigger and more representative your sample, the more confidently you can apply your findings to the real world.
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Other54 views·Updated 10 Aug 2026·2 pagesUnderstanding GCSE Research Methodologies
Ismael Chraihi@ismaelchraihi_ulbx
Research methods are the foundation of how psychologists study human behaviour and test their ideas. Understanding variables, sampling techniques, and experimental design will help you grasp how psychological studies work and why their findings matter.
1
of 2
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Understanding Variables in Psychology Research
Every psychological study starts with a theory - basically an educated guess about why people behave the way they do. But theories alone aren't enough; psychologists need to test them using proper research methods to see if they actually hold up.
The independent variable (IV) is what the researcher deliberately changes or manipulates in their experiment. Think of it as the 'cause' they're testing - like whether studying with music affects memory performance. Most studies compare two different conditions to see what happens.
The dependent variable (DV) is what gets measured - it's the outcome the researcher is interested in. Going back to our music example, the DV would be how well people actually remember information. The key rule? Only changes in the IV should affect the DV.
Operationalisation means making your variables measurable and clearly defined. Instead of saying "does stress affect performance," you'd specify exactly how you'll measure stress (heart rate? questionnaire scores?) and performance (test scores? reaction times?). Extraneous variables are all those annoying factors that could mess up your results - things like noise, temperature, or lighting that need to be controlled, usually in a laboratory setting.
Quick Tip: Remember IV = Input (what you change), DV = Dependent on what you did (what you measure)
2
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Sampling Methods: Who Takes Part?
Getting the right people for your study is crucial - after all, you want your findings to actually mean something beyond just the people who participated. Sampling methods determine who ends up in your research.
Random sampling is like pulling names from a hat or using a computer generator. It's brilliant because there's no bias in who gets chosen, but it takes ages to organise and can be expensive. Opportunity sampling is the opposite - you just grab whoever's available (think students in your psychology class). It's quick and cheap, but your sample might not represent the wider population at all.
Systematic sampling involves picking every nth person from a complete list - like every 10th name on the electoral register. This avoids researcher bias since you can't cherry-pick participants, but you might still end up with a skewed group if there's a pattern in your list.
Stratified sampling is the gold standard but requires serious effort. You select participants in the same proportions as they exist in the population - so if 30% of your target population is aged 16-25, then 30% of your sample should be too. It gives you the most representative results but is incredibly time-consuming to set up properly.
Remember: The bigger and more representative your sample, the more confidently you can apply your findings to the real world.
We thought you’d never ask...
Our AI Companion is a student-focused AI tool that offers more than just answers. Built on millions of Knowunity resources, it provides relevant information, personalised study plans, quizzes, and content directly in the chat, adapting to your individual learning journey.
You can download the app from Google Play Store and Apple App Store.
That's right! Enjoy free access to study content, connect with fellow students, and get instant help – all at your fingertips.
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Master the essential 'Tell Me' questions for your practical driving test with this comprehensive guide. Learn how to check power-assisted steering, brakes, lights, and fluid levels, ensuring your vehicle is safe and roadworthy. Ideal for aspiring drivers preparing for their test.
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Othercross currical quiz!
hope you enjoy
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Explore key themes in child development and education, including self-esteem, cognitive theories, and the impact of family dynamics. This comprehensive resource is designed for students preparing for exams in early years education and childcare, providing essential knowledge on legislation, developmental psychology, and educational practices. Perfect for revision and understanding the complexities of child welfare and educational frameworks.
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Stefan SiOS user
This app is really great. There are so many study notes and help [...]. My problem subject is French, for example, and the app has so many options for help. Thanks to this app, I have improved my French. I would recommend it to anyone.
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