What is meant by pseudo replication?
Pseudoreplication is the process of artificially inflating the number of samples or replicates. As a result, statistical tests performed on the data are rendered invalid.
How many replicates does an experiment have?
Normally we design experiment with 3 replicates, each replicate has like 10 samples/treatment (so total number of samples n = 30/treatment). Then we average the results of these 10 samples to get 1 number/replicate and use these 3 numbers/treatment to performing statistical analysis.
What is spatial pseudoreplication?
Pseudoreplication occurs when you analyse the data as if you had more degrees of freedom than you really have. spatial pseudoreplication, involving several measurements taken from the same vicinity.
What is replicate number?
Replicate: A replicate is one experimental unit in one treatment. The number of replicates is the number of experimental units in a treatment.
What can be the cause of pseudo replication?
You can think of pseudo-replication as collecting data that answers the wrong question. Pseudo-replication can also be caused by taking separate measurements of the same subject over time (autocorrelation), like in my blood pressure experiment.
What is the meaning of the term pseudoreplication?
Pseudoreplication refers to taking the incorrect level of replication. In the above examples, it would mean using the total number of blood tests, or the total number of eggs counted, as the total sample size.
What does DF = 19 mean for pseudoreplication?
Remembering the condition of independence: two eggs from the same nest are intricately linked (they have the same parents, the same environmental conditions, etc.), and so we cannot assume that they are independent. Once again we have df = 19. Pseudoreplication refers to taking the incorrect level of replication.
Is it possible to pseudoreplicate an experiment by mistake?
Most of the time you’ll pseudoreplicate by mistake, but do be aware that doing so can call into question the validity of your experiment and analyses. Be aware of this in others’ research too, and be sure to read articles with a critical eye. Have they done what they said they have?