Types of Research Designs – Correlational Studies

In this video, we discuss one of the most widely-used research designs, particularly in the field of psychology: correlational studies. We also take time to learn how to interpret Pearson's r, which is the way we quantify a correlation (known also as the correlation coefficient).

Correlational Studies: A research design that examines the extent to which two variables are associated, or correlated, with each other.

Magnitude: A quality of a correlation that describes the strength of the relationship between the two variables. Correlations must be between –1 and +1. Correlations closer to an absolute value of 1 represent stronger relationships.

Valence: A quality of a correlation that describes the nature of the relationship between the two variables. Correlations can be positive, negative, or zero, which tells you the nature of the relationship.

Positive Correlations: Correlations in which as one variable changes, the other tends to change in the same direction.

Negative Correlations: Correlations in which as one variable changes, the other tends to change in the opposite direction.

Zero Correlations: Correlations which describe a lack of relationship between two variables. That is, a zero correlation means that no relationship exists between the two variables.

Causation Fallacy: Mistakenly assuming that an observed correlation implies a causal link between the two variables.

[surfxkitty]

I'm helping my big brother write a 5 page analysis on a lengthy journal study for his masters degree. I'm new to his major and we were having trouble with this question. "What is the design of the study (e.g., experimental, correlational, quasi-experimental, etc.)?". He is on the autism spectrum and dyslexic and it's nearly impossible for him to sit still and pay attention. Your video was really clear, easy to understand, and not distracting! Luckily the answer is correlational, but we couldn't find any other videos on YT clearly explaining the quasi experimental design (if you ever need more video ideas to make). Thank you for helping us get that A! *fingers crossed*

[avipshasarkar]

Thank you so much explanation was really helpful....

[zeemusicngobese]

Thank you so much for your clear explanation and your practical examples

[rani]

I cackled a lot reading the examples of causation fallacy. Housework cuts breast cancer being my absolute favorite! 😂😂😂😂

[dharanyarao]

Thank you so much for all these great videos

[shreyaaashree]

amazing video! very clear and in depth explanation!

[swatikumari]

Well explained. it's very helpful to me

[myraarsenault]

Love this. Very understanding. I will eat more fish :)

[MarkyTVofficial]

How can i make a correlational research design but at the same time quasi experimental design? Is it called mixed method? Or how a correlational designed research looks like? How do you collect data, how do you evaluate it?

[Boyyyy]

Is it appropriate if we use correlation research design in business research?

[juliabrady]

great video.. but whales are extremely smart. Don't throw shade on whales.