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How is the reliability and validity of a measure established?
The reliability and validity of a measure is not established by any single study but by the pattern of results across multiple studies. The assessment of reliability and validity is an ongoing process. Practice: Ask several friends to complete the Rosenberg Self-Esteem Scale.
When do you need to consider the reliability of data?
Reliability should be considered throughout the data collection process. When you use a tool or technique to collect data, it’s important that the results are precise, stable and reproducible. Plan your method carefully to make sure you carry out the same steps in the same way for each measurement.
Which is the best definition of a valid measurement?
A valid measurement is generally reliable: if a test produces accurate results, they should be reproducible. How are reliability and validity assessed? Reliability and validity are closely related, but they mean different things.
How is canonical correlation used in statistical analysis?
Canonical correlation is a multivariate technique used to examine the relationship between two groups of variables. For each set of variables, it creates latent variables and looks at the relationships among the latent variables. It assumes that all variables in the model are interval and normally distributed.
Why are psychologists interested in reliability of measurement?
The answer is that they conduct research using the measure to confirm that the scores make sense based on their understanding of the construct being measured. This is an extremely important point. Psychologists do not simply assume that their measures work. Instead, they collect data to demonstrate that they work.
How are different conditions used in repeated measures?
Where measurements are made under different conditions, the conditions are the levels (or related groups) of the independent variable (e.g., type of cake is the independent variable with chocolate, caramel, and lemon cake as the levels of the independent variable). A schematic of a different-conditions repeated measures design is shown below.
When to use a repeated measures ANOVA in statistics?
A repeated measures ANOVA will not inform you where the differences between groups lie as it is an omnibus statistical test. The same would be true if you were investigating different conditions or treatments rather than time points, as used in this example.