Psychology SL
Psychology SL
9
Chapters
238
Notes
Unit 1 - Research Methodology
Unit 1 - Research Methodology
Unit 2 - Biological Approach To Behaviour
Unit 2 - Biological Approach To Behaviour
Unit 3 - Cognitive Approach To Behaviour
Unit 3 - Cognitive Approach To Behaviour
Unit 4 - Sociocultural Approach To Behaviour
Unit 4 - Sociocultural Approach To Behaviour
Unit 6 - Health psychology
Unit 6 - Health psychology
Unit 7 - Pyschology Of Human Relationships
Unit 7 - Pyschology Of Human Relationships
Unit 8 - Developmental psychology
Unit 8 - Developmental psychology
Unit 9 - Internal Assessment
Unit 9 - Internal Assessment
Unit 10 - The IB Curriculum - A Conceptual Model
Unit 10 - The IB Curriculum - A Conceptual Model
IB Resources
Unit 1 - Research Methodology
Psychology SL
Psychology SL

Unit 1 - Research Methodology

Mastering Sampling Strategies In Correlational Research!

Word Count Emoji
547 words
Reading Time Emoji
3 mins read
Updated at Emoji
Last edited on 16th Oct 2024

Table of content

🎯Key Concepts: Sampling strategies, Correlational research, Target population, Random sampling, Stratified sampling, Opportunity sampling, Self-selected sampling, Generalizability, Representativeness, Population validity.

Sampling strategies in correlational research

Just like picking your team for a fun game of dodgeball, researchers also have to "pick their team" in research studies, except we call this 'sampling.' Sampling strategies in correlational research follow the same rules as in experiments. 👩‍🔬👨‍🔬

 

The process starts with identifying the target population, just like you would scope out the best players for your dodgeball team. The target population is picked based on the study's aims. It's like the pool of all potential dodgeball players you might choose from. 🏊‍♀️

From this pool, a sample is drawn using one of the following methods:

 

Random Sampling: This is the luck-of-the-draw method. Everyone in your population pool has an equal chance of being chosen. Imagine picking names out of a hat! 🎩🎫

 

Stratified Sampling: This is like organizing players by skill level (beginner, intermediate, pro), and then picking a few from each group. This way, your team has players of all skill levels, just like your sample will have people from all strata of the population. ⚖️

 

Opportunity Sampling: This is grabbing whoever's available! Say you're at the park and pick your team from whoever's around. Similarly, researchers sometimes pick samples from whoever's available and willing to participate. 🚶‍♂️🚶‍♀️

 

Self-selected Sampling: This is when people volunteer to be part of the study, like if you put up a poster saying "Join our dodgeball team!" and take whoever shows up. 🙋‍♀️🙋‍♂️

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IB Resources
Unit 1 - Research Methodology
Psychology SL
Psychology SL

Unit 1 - Research Methodology

Mastering Sampling Strategies In Correlational Research!

Word Count Emoji
547 words
Reading Time Emoji
3 mins read
Updated at Emoji
Last edited on 16th Oct 2024

Table of content

🎯Key Concepts: Sampling strategies, Correlational research, Target population, Random sampling, Stratified sampling, Opportunity sampling, Self-selected sampling, Generalizability, Representativeness, Population validity.

Sampling strategies in correlational research

Just like picking your team for a fun game of dodgeball, researchers also have to "pick their team" in research studies, except we call this 'sampling.' Sampling strategies in correlational research follow the same rules as in experiments. 👩‍🔬👨‍🔬

 

The process starts with identifying the target population, just like you would scope out the best players for your dodgeball team. The target population is picked based on the study's aims. It's like the pool of all potential dodgeball players you might choose from. 🏊‍♀️

From this pool, a sample is drawn using one of the following methods:

 

Random Sampling: This is the luck-of-the-draw method. Everyone in your population pool has an equal chance of being chosen. Imagine picking names out of a hat! 🎩🎫

 

Stratified Sampling: This is like organizing players by skill level (beginner, intermediate, pro), and then picking a few from each group. This way, your team has players of all skill levels, just like your sample will have people from all strata of the population. ⚖️

 

Opportunity Sampling: This is grabbing whoever's available! Say you're at the park and pick your team from whoever's around. Similarly, researchers sometimes pick samples from whoever's available and willing to participate. 🚶‍♂️🚶‍♀️

 

Self-selected Sampling: This is when people volunteer to be part of the study, like if you put up a poster saying "Join our dodgeball team!" and take whoever shows up. 🙋‍♀️🙋‍♂️

Unlock the Full Content! File Is Locked Emoji

Dive deeper and gain exclusive access to premium files of Psychology SL. Subscribe now and get closer to that 45 🌟