Name of the Method
The first method that was presented
Correlational Research
What is the definition of correlational research?
Correlational research is a method that establishes a relationship between two variables that interact with each other
Name one pro of correlational research
Any pros mentioned on the list
Name one con of correlational research
Any con mentioned on the list
Name ONE discipline or possible researcher of correlational research
Market Researchers
Psychology
Biology
Sociology
The second method that was presented
Factor analysis
What is the definition of factor analysis?
Factor analysis is a statistical method that requires you to factor out commonalities and similarities in your data in order to create a smaller, more specific, and reliable conclusion from your research
Name one pro of factor analysis
Any pros mentioned on the list
Name one con of factor analysis
Any con mentioned on the list
Name the two types of factor analysis ( 200 pts)
Exploratory and Confirmatory
Name 3 pros of correlational research
Any 3 pros mentioned on the list
Name 3 cons of correlational research
Any 3 cons mentioned on the list
What are the materials needed for factor analysis
Large amount of data
Notebook/Somewhere to graph data
Available resources for data collection
Name 3 pros of factor analysis
Any 3 pros on the list
Name 3 cons of factor analysis
Any 3 cons mentioned on the list
What are the limitations of correlational research
Control and Explanation
Name ALL of the pros of both correlational research and factor analysis ( any team that gets the closest )
Correlational Research Pros:
Easy to use
Time efficient
Qualitative and quantitative
Easily generalize your research
Cheap
Mostly reliable
Factor Analysis Pros:
Helps to simplify complex data
Helps find patterns within different kinds of information
Helps prepare for more complicated analysis
Name ALL of the cons of both correlational research and factor analysis ( any team that gets the closest )
Correlational Research Cons:
Unpredictable variables
Researcher bias
Time consuming
May have unreliable resources
Factor Analysis Cons:
Data assumptions
Model Complexity
Interpretation Challenges
Sensitivity to data
What are the time considerations for correlational research and factory analysis (which ever team gets the closest)
Factor Analysis
Sample Size
Interpretation
Available resources
Correlational Research
Naturalistic
Survey
Secondary