Why is variable operationalization important? Select all that apply. It allows you to confirm that a valid measurement approach was used. It allows you to calculate appropriate descriptive statistics. It allows others to measure a construct in the same way that you did. It allows you to determine the appropriate statistical tests (i.e., inferential statistics).
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- I am testing the prediction that spiders with colors that match a flower (cryptic coloration) will have greater success hunting bees visiting that flower. I set up two treatments for spiders: those matching their flower and those not matching their flower. I measure how long it takes each of them to catch a bee. What kind of statistical test would be best for testing my prediction? Chi-square ●ANOVA RegressionScreening test A as a sensitivity of 78% and a specificity of 85%. Screening test B has a sensitivity of 85% and a specificity of 90%. Given that they are applied to the same population and the same disease, which of the following statement is correct? Screening test A has a higher yield than Screening test B Screening test A is more valid than Screening test B Screening test B has better predictability than Screening test A Screening test B is more valid than Screening test A Screening test A has better predictability than Screening test BIn a controlled experiment, all of the variables are kept the same in order to be consistent. There is only one variable that is changed for these kinds of studies, and it is known as the __________ ___________ (2 words).
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