Experimental
Identify causation
Manipulates variables
Random assignment
Quantitative Observational
Treatment groups pre-existing
No random assignment, hence cannot identify causation
No manipulation, only observation to identify correlation of variables
Qualitative
Non-experimental, like quantitative observational only there is nothing quantitative about it, all interpretion/opinions
All three can collect two kinds of Data, Qualitative and Quantitative.
* * *
Experimental Design;
influenced by extraneous variables,
- Participant variables
- situational variables
- experimenter variables
- placebo effect
Advantages
- More control over extraneous variables
- Can prove causation by manipulating IV to affect DV
- Can replicate experiment
Disadvantage
- May be unethical
- Not applicable to real world
Advantages
- Allow investigation of variables otherwise too costly, unethical or impossible
- Some behavior can only be studied using a naturalistic setting
Disadvantages
- Cannot infer a strong cause/effect due to greater chance of other variables influencing results, due to lack of random assignment
Answers a question instead of testing a hypothesis/prediction
Investigates difference between groups and Association between variables
Advantages
- Investigate complex real world issues
- Open ended approach provides important information
Disadvantage
- Chance of experimenter bias
Advantage
- Richness of generated data
- Easy to organize
- Inexpensive
- Safety in numbers principle
- Can collect info from uneducated people
Disadvantages
- Lack of confidentiality
- Unease disagreeing with large groups
- Not representative of other groups
Advantages
- Does not require participants to be at the same place at the same time
- Maintains confidentiality
- Minimizes disadvantages associated with group decision making
Disadvantages
- Forces consensus
- No discussion
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