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Random assignment: assigning participants to experimental and control conditions by chance Vs. Random sample: a sample that fairly represents a population because each member has an equal chance of being included You decide :-D
Allows for potential confounding
It might help if you specified why WHAT was important in random variables.
It is important to make sure your random sample is random in order to make sure the results are accurate, and to prevent experimenter bias.
1. variable is an antecedent 2. random assignment 3. values are maniipulated 4. controls
Groups have equal and balanced composition
That's a random question
Without random assignment there is a danger of systematic error - or bias - entering into the results. Statistical theory depends on the errors being random and independent error and that is no longer the case without random assignment. In fact, statistical experiments are often "double-blind": even the observer does not know which individual is in which group. This is to prevent unconscious or subconscious messages to affect the outcome (placebo effects).
random assignment
Random sampling is the sample group of subjects that are selected by chance, without bias. Random assignment is when each subject of the sample has an equal chance of being in either the experimental or control group of an experiment.
Random assignment: assigning participants to experimental and control conditions by chance Vs. Random sample: a sample that fairly represents a population because each member has an equal chance of being included You decide :-D
The answer is on pages 140 to 145 in your Civics textbook. Read the assignment and you won't have to wait for some random person on the Internet to give you the wrong answer!
Allows for potential confounding
Participants can be assigned to groups using random assignment, where each individual has an equal chance of being placed in any group, or through matched assignment, where participants are matched on key variables before being assigned to groups. Other methods include stratified random assignment, where participants are grouped based on specific characteristics before random assignment, and block randomization, where participants are assigned to groups in blocks to ensure equal group sizes.
There is no purpose. ZeeNOObster is wrong. An experimenter would use random assignment/placement is such a case that he/she may not have a large sample and wants to make sure that some attribute is evenly divided into the groups. example: some sort of study where IQ is of importance. To make sure that participants IQs are evenly distributed among the groups, the researcher would find out the participant's IQs and then randomly assign the top IQs to different groups, then moderate IQs and followed by low IQs. This is a simplistic way of looking at random placement
It might help if you specified why WHAT was important in random variables.
Double Blind Testing -